FM / ATen

/usr/local/lib64/python3.6/site-packages/torch/include/ATen/

/usr/local/lib64/python3.6/site-packages/torch/include/ATen

Name	Size	Mode	Actions
core/	-	0755	rm
cpu/	-	0755	rm
cuda/	-	0755	rm
cudnn/	-	0755	rm
detail/	-	0755	rm
hip/	-	0755	rm
native/	-	0755	rm
quantized/	-	0755	rm
AccumulateType.h	4438	0644	edit dl rm
ArrayRef.h	44	0644	edit dl rm
ATen.h	998	0644	edit dl rm
autocast_mode.h	6716	0644	edit dl rm
Backend.h	43	0644	edit dl rm
Backtrace.h	46	0644	edit dl rm
BatchedFallback.h	965	0644	edit dl rm
BatchedTensorImpl.h	5383	0644	edit dl rm
CompositeExplicitAutogradFunctions.h	1622	0644	edit dl rm
CompositeExplicitAutogradFunctions_inl.h	54075	0644	edit dl rm
CompositeImplicitAutogradFunctions.h	1622	0644	edit dl rm
CompositeImplicitAutogradFunctions_inl.h	142082	0644	edit dl rm
Config.h	734	0644	edit dl rm
Context.h	12767	0644	edit dl rm
cpp_custom_type_hack.h	5326	0644	edit dl rm
CPUApplyUtils.h	12582	0644	edit dl rm
CPUFixedAllocator.h	830	0644	edit dl rm
CPUFunctions.h	1600	0644	edit dl rm
CPUFunctions_inl.h	171924	0644	edit dl rm
CPUGeneratorImpl.h	1431	0644	edit dl rm
CUDAFunctions.h	1601	0644	edit dl rm
CUDAFunctions_inl.h	185696	0644	edit dl rm
CUDAGeneratorImpl.h	4695	0644	edit dl rm
Device.h	42	0644	edit dl rm
DeviceGuard.h	1134	0644	edit dl rm
Dimname.h	31	0644	edit dl rm
DimVector.h	46	0644	edit dl rm
Dispatch.h	52137	0644	edit dl rm
div_rtn.h	204	0644	edit dl rm
DLConvertor.h	576	0644	edit dl rm
dlpack.h	5244	0644	edit dl rm
DynamicLibrary.h	369	0644	edit dl rm
ExpandUtils.h	14506	0644	edit dl rm
Formatting.h	34	0644	edit dl rm
Functions.h	846326	0644	edit dl rm
Generator.h	46	0644	edit dl rm
InferSize.h	2143	0644	edit dl rm
InitialTensorOptions.h	445	0644	edit dl rm
Layout.h	42	0644	edit dl rm
MapAllocator.h	2999	0644	edit dl rm
MatrixRef.h	3016	0644	edit dl rm
MemoryOverlap.h	1117	0644	edit dl rm
MetaFunctions.h	1601	0644	edit dl rm
MetaFunctions_inl.h	84006	0644	edit dl rm
NamedTensor.h	35	0644	edit dl rm
NamedTensorUtils.h	5747	0644	edit dl rm
NativeFunctions.h	354651	0644	edit dl rm
NativeMetaFunctions.h	35445	0644	edit dl rm
NumericUtils.h	2787	0644	edit dl rm
OpaqueTensorImpl.h	6080	0644	edit dl rm
Operators.h	1707199	0644	edit dl rm
OpMathType.h	460	0644	edit dl rm
Parallel.h	4875	0644	edit dl rm
ParallelNative.h	2443	0644	edit dl rm
ParallelNativeTBB.h	2934	0644	edit dl rm
ParallelOpenMP.h	3049	0644	edit dl rm
PTThreadPool.h	394	0644	edit dl rm
record_function.h	24044	0644	edit dl rm
RedispatchFunctions.h	1112886	0644	edit dl rm
RegistrationDeclarations.h	545777	0644	edit dl rm
SavedTensorHooks.h	328	0644	edit dl rm
Scalar.h	44	0644	edit dl rm
ScalarOps.h	2272	0644	edit dl rm
ScalarType.h	129	0644	edit dl rm
SequenceNumber.h	373	0644	edit dl rm
SmallVector.h	47	0644	edit dl rm
SparseCsrTensorImpl.h	2045	0644	edit dl rm
SparseCsrTensorUtils.h	523	0644	edit dl rm
SparseTensorImpl.h	12417	0644	edit dl rm
SparseTensorUtils.h	4219	0644	edit dl rm
Storage.h	43	0644	edit dl rm
Tensor.h	48	0644	edit dl rm
TensorAccessor.h	51	0644	edit dl rm
TensorGeometry.h	1855	0644	edit dl rm
TensorIndexing.h	21923	0644	edit dl rm
TensorIterator.h	29962	0644	edit dl rm
TensorIteratorInternal.h	1862	0644	edit dl rm
TensorMeta.h	2917	0644	edit dl rm
TensorNames.h	2519	0644	edit dl rm
TensorOperators.h	3275	0644	edit dl rm
TensorOptions.h	49	0644	edit dl rm
TensorUtils.h	5687	0644	edit dl rm
ThreadLocalState.h	3289	0644	edit dl rm
TracerMode.h	5576	0644	edit dl rm
TypeDefault.h	680	0644	edit dl rm
Utils.h	5993	0644	edit dl rm
Version.h	340	0644	edit dl rm
VmapMode.h	952	0644	edit dl rm
VmapTransforms.h	7654	0644	edit dl rm
WrapDimUtils.h	3438	0644	edit dl rm
WrapDimUtilsMulti.h	768	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/ATen/RedispatchFunctions.h (1112886B)

#pragma once

// @generated by tools/codegen/gen.py from RedispatchFunctions.h

#include <c10/core/Scalar.h>
#include <ATen/Tensor.h>
#include <c10/core/Storage.h>
#include <ATen/core/Generator.h>
#include <c10/util/Deprecated.h>
#include <ATen/DeviceGuard.h>
#include <c10/core/TensorOptions.h>
#include <ATen/core/Reduction.h>
#include <c10/util/Optional.h>
#include <ATen/TensorUtils.h>
#include <ATen/Context.h>
#include <ATen/TracerMode.h>

namespace at {

namespace redispatch {
    
    // aten::_cast_Byte(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Byte(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Byte::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_cast_Char(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Char(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Char::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_cast_Double(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Double(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Double::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_cast_Float(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Float(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Float::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_cast_Int(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Int(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Int::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_cast_Long(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Long(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Long::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_cast_Short(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Short(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Short::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_cast_Half(Tensor self, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _cast_Half(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) {
        return at::_ops::_cast_Half::redispatch(dispatchKeySet, self, non_blocking);
    }
    
    // aten::_backward(Tensor self, Tensor[] inputs, Tensor? gradient=None, bool? retain_graph=None, bool create_graph=False) -> ()
    TORCH_API inline void __dispatch__backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList inputs, const c10::optional<at::Tensor> & gradient={}, c10::optional<bool> retain_graph=c10::nullopt, bool create_graph=false) {
        return at::_ops::_backward::redispatch(dispatchKeySet, self, inputs, gradient, retain_graph, create_graph);
    }
    
    // aten::set_data(Tensor(a!) self, Tensor new_data) -> ()
    TORCH_API inline void __dispatch_set_data(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & new_data) {
        return at::_ops::set_data::redispatch(dispatchKeySet, self, new_data);
    }
    
    // aten::data(Tensor self) -> Tensor
    TORCH_API inline at::Tensor __dispatch_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::data::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_leaf(Tensor self) -> bool
    TORCH_API inline bool __dispatch_is_leaf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_leaf::redispatch(dispatchKeySet, self);
    }
    
    // aten::output_nr(Tensor self) -> int
    TORCH_API inline int64_t __dispatch_output_nr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::output_nr::redispatch(dispatchKeySet, self);
    }
    
    // aten::_version(Tensor self) -> int
    TORCH_API inline int64_t __dispatch__version(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_version::redispatch(dispatchKeySet, self);
    }
    
    // aten::requires_grad_(Tensor(a!) self, bool requires_grad=True) -> Tensor(a!)
    TORCH_API inline at::Tensor & __dispatch_requires_grad_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, bool requires_grad=true) {
        return at::_ops::requires_grad_::redispatch(dispatchKeySet, self, requires_grad);
    }
    
    // aten::retain_grad(Tensor(a!) self) -> ()
    TORCH_API inline void __dispatch_retain_grad(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::retain_grad::redispatch(dispatchKeySet, self);
    }
    
    // aten::retains_grad(Tensor self) -> bool
    TORCH_API inline bool __dispatch_retains_grad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::retains_grad::redispatch(dispatchKeySet, self);
    }
    
    // aten::_fw_primal(Tensor(a) self, int level) -> Tensor(a)
    TORCH_API inline at::Tensor _fw_primal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t level) {
        return at::_ops::_fw_primal::redispatch(dispatchKeySet, self, level);
    }
    
    // aten::_make_dual(Tensor(a) primal, Tensor tangent, int level) -> Tensor(a)
    TORCH_API inline at::Tensor _make_dual(c10::DispatchKeySet dispatchKeySet, const at::Tensor & primal, const at::Tensor & tangent, int64_t level) {
        return at::_ops::_make_dual::redispatch(dispatchKeySet, primal, tangent, level);
    }
    
    // aten::_unpack_dual(Tensor(a) dual, int level) -> (Tensor(a) primal, Tensor tangent)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _unpack_dual(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dual, int64_t level) {
        return at::_ops::_unpack_dual::redispatch(dispatchKeySet, dual, level);
    }
    
    // aten::rename_(Tensor(a!) self, Dimname[]? names) -> Tensor(a!)
    TORCH_API inline at::Tensor & rename_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<at::DimnameList> names) {
        return at::_ops::rename_::redispatch(dispatchKeySet, self, names);
    }
    
    // aten::rename(Tensor(a) self, Dimname[]? names) -> Tensor(a)
    TORCH_API inline at::Tensor rename(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::DimnameList> names) {
        return at::_ops::rename::redispatch(dispatchKeySet, self, names);
    }
    
    // aten::align_to(Tensor(a) self, Dimname[] names) -> Tensor(a)
    TORCH_API inline at::Tensor align_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList names) {
        return at::_ops::align_to::redispatch(dispatchKeySet, self, names);
    }
    
    // aten::align_to.ellipsis_idx(Tensor(a) self, Dimname[] order, int ellipsis_idx) -> Tensor(a)
    TORCH_API inline at::Tensor align_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList order, int64_t ellipsis_idx) {
        return at::_ops::align_to_ellipsis_idx::redispatch(dispatchKeySet, self, order, ellipsis_idx);
    }
    
    // aten::align_as(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor align_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::align_as::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::align_tensors(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> align_tensors(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::align_tensors::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_assert_async(Tensor self) -> ()
    TORCH_API inline void _assert_async(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_assert_async::redispatch(dispatchKeySet, self);
    }
    
    // aten::refine_names(Tensor(a) self, Dimname[] names) -> Tensor(a)
    TORCH_API inline at::Tensor refine_names(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList names) {
        return at::_ops::refine_names::redispatch(dispatchKeySet, self, names);
    }
    
    // aten::_use_cudnn_ctc_loss(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank) -> bool
    TORCH_API inline bool _use_cudnn_ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank) {
        return at::_ops::_use_cudnn_ctc_loss::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank);
    }
    
    // aten::_cudnn_ctc_loss(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank, bool deterministic, bool zero_infinity) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _cudnn_ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank, bool deterministic, bool zero_infinity) {
        return at::_ops::_cudnn_ctc_loss::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, deterministic, zero_infinity);
    }
    
    // aten::_use_cudnn_rnn_flatten_weight() -> bool
    TORCH_API inline bool _use_cudnn_rnn_flatten_weight(c10::DispatchKeySet dispatchKeySet) {
        return at::_ops::_use_cudnn_rnn_flatten_weight::redispatch(dispatchKeySet);
    }
    
    // aten::_cudnn_rnn_flatten_weight(Tensor[] weight_arr, int weight_stride0, int input_size, int mode, int hidden_size, int proj_size, int num_layers, bool batch_first, bool bidirectional) -> Tensor
    TORCH_API inline at::Tensor _cudnn_rnn_flatten_weight(c10::DispatchKeySet dispatchKeySet, at::TensorList weight_arr, int64_t weight_stride0, int64_t input_size, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, bool bidirectional) {
        return at::_ops::_cudnn_rnn_flatten_weight::redispatch(dispatchKeySet, weight_arr, weight_stride0, input_size, mode, hidden_size, proj_size, num_layers, batch_first, bidirectional);
    }
    
    // aten::_cudnn_rnn(Tensor input, Tensor[] weight, int weight_stride0, Tensor? weight_buf, Tensor hx, Tensor? cx, int mode, int hidden_size, int proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _cudnn_rnn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const c10::optional<at::Tensor> & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) {
        return at::_ops::_cudnn_rnn::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state);
    }
    
    // aten::_cudnn_rnn_backward(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, int hidden_size, int proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask) -> (Tensor, Tensor, Tensor, Tensor[])
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> _cudnn_rnn_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) {
        return at::_ops::_cudnn_rnn_backward::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask);
    }
    
    // aten::_cudnn_init_dropout_state(float dropout, bool train, int dropout_seed, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor _cudnn_init_dropout_state(c10::DispatchKeySet dispatchKeySet, double dropout, bool train, int64_t dropout_seed, at::TensorOptions options) {
        return at::_ops::_cudnn_init_dropout_state::redispatch(dispatchKeySet, dropout, train, dropout_seed, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::_cudnn_init_dropout_state(float dropout, bool train, int dropout_seed, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor _cudnn_init_dropout_state(c10::DispatchKeySet dispatchKeySet, double dropout, bool train, int64_t dropout_seed, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::_cudnn_init_dropout_state::redispatch(dispatchKeySet, dropout, train, dropout_seed, dtype, layout, device, pin_memory);
    }
    
    // aten::_debug_has_internal_overlap(Tensor self) -> int
    TORCH_API inline int64_t _debug_has_internal_overlap(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_debug_has_internal_overlap::redispatch(dispatchKeySet, self);
    }
    
    // aten::_fused_dropout(Tensor self, float p, Generator? generator=None) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _fused_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::_fused_dropout::redispatch(dispatchKeySet, self, p, generator);
    }
    
    // aten::_masked_scale(Tensor self, Tensor mask, float scale) -> Tensor
    TORCH_API inline at::Tensor _masked_scale(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, double scale) {
        return at::_ops::_masked_scale::redispatch(dispatchKeySet, self, mask, scale);
    }
    
    // aten::_sobol_engine_draw(Tensor quasi, int n, Tensor sobolstate, int dimension, int num_generated, ScalarType? dtype) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _sobol_engine_draw(c10::DispatchKeySet dispatchKeySet, const at::Tensor & quasi, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated, c10::optional<at::ScalarType> dtype) {
        return at::_ops::_sobol_engine_draw::redispatch(dispatchKeySet, quasi, n, sobolstate, dimension, num_generated, dtype);
    }
    
    // aten::_sobol_engine_ff_(Tensor(a!) self, int n, Tensor sobolstate, int dimension, int num_generated) -> Tensor(a!)
    TORCH_API inline at::Tensor & _sobol_engine_ff_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated) {
        return at::_ops::_sobol_engine_ff_::redispatch(dispatchKeySet, self, n, sobolstate, dimension, num_generated);
    }
    
    // aten::_sobol_engine_scramble_(Tensor(a!) self, Tensor ltm, int dimension) -> Tensor(a!)
    TORCH_API inline at::Tensor & _sobol_engine_scramble_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & ltm, int64_t dimension) {
        return at::_ops::_sobol_engine_scramble_::redispatch(dispatchKeySet, self, ltm, dimension);
    }
    
    // aten::_sobol_engine_initialize_state_(Tensor(a!) self, int dimension) -> Tensor(a!)
    TORCH_API inline at::Tensor & _sobol_engine_initialize_state_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dimension) {
        return at::_ops::_sobol_engine_initialize_state_::redispatch(dispatchKeySet, self, dimension);
    }
    
    // aten::_reshape_from_tensor(Tensor self, Tensor shape) -> Tensor
    TORCH_API inline at::Tensor _reshape_from_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & shape) {
        return at::_ops::_reshape_from_tensor::redispatch(dispatchKeySet, self, shape);
    }
    
    // aten::_shape_as_tensor(Tensor self) -> Tensor
    TORCH_API inline at::Tensor _shape_as_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_shape_as_tensor::redispatch(dispatchKeySet, self);
    }
    
    // aten::dropout(Tensor input, float p, bool train) -> Tensor
    TORCH_API inline at::Tensor dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) {
        return at::_ops::dropout::redispatch(dispatchKeySet, input, p, train);
    }
    
    // aten::dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!)
    TORCH_API inline at::Tensor & dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) {
        return at::_ops::dropout_::redispatch(dispatchKeySet, self, p, train);
    }
    
    // aten::feature_dropout(Tensor input, float p, bool train) -> Tensor
    TORCH_API inline at::Tensor feature_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) {
        return at::_ops::feature_dropout::redispatch(dispatchKeySet, input, p, train);
    }
    
    // aten::feature_dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!)
    TORCH_API inline at::Tensor & feature_dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) {
        return at::_ops::feature_dropout_::redispatch(dispatchKeySet, self, p, train);
    }
    
    // aten::alpha_dropout(Tensor input, float p, bool train) -> Tensor
    TORCH_API inline at::Tensor alpha_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) {
        return at::_ops::alpha_dropout::redispatch(dispatchKeySet, input, p, train);
    }
    
    // aten::alpha_dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!)
    TORCH_API inline at::Tensor & alpha_dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) {
        return at::_ops::alpha_dropout_::redispatch(dispatchKeySet, self, p, train);
    }
    
    // aten::feature_alpha_dropout(Tensor input, float p, bool train) -> Tensor
    TORCH_API inline at::Tensor feature_alpha_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) {
        return at::_ops::feature_alpha_dropout::redispatch(dispatchKeySet, input, p, train);
    }
    
    // aten::feature_alpha_dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!)
    TORCH_API inline at::Tensor & feature_alpha_dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) {
        return at::_ops::feature_alpha_dropout_::redispatch(dispatchKeySet, self, p, train);
    }
    
    // aten::abs(Tensor self) -> Tensor
    TORCH_API inline at::Tensor abs(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::abs::redispatch(dispatchKeySet, self);
    }
    
    // aten::abs_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & abs_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::abs_::redispatch(dispatchKeySet, self);
    }
    
    // aten::abs.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & abs_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::abs_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::abs.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & abs_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::abs_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::absolute(Tensor self) -> Tensor
    TORCH_API inline at::Tensor absolute(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::absolute::redispatch(dispatchKeySet, self);
    }
    
    // aten::absolute_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & absolute_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::absolute_::redispatch(dispatchKeySet, self);
    }
    
    // aten::absolute.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & absolute_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::absolute_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::absolute.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & absolute_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::absolute_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::angle(Tensor self) -> Tensor
    TORCH_API inline at::Tensor angle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::angle::redispatch(dispatchKeySet, self);
    }
    
    // aten::angle.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & angle_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::angle_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::angle.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & angle_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::angle_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::view_as_real(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor view_as_real(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::view_as_real::redispatch(dispatchKeySet, self);
    }
    
    // aten::view_as_complex(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor view_as_complex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::view_as_complex::redispatch(dispatchKeySet, self);
    }
    
    // aten::sgn(Tensor self) -> Tensor
    TORCH_API inline at::Tensor sgn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sgn::redispatch(dispatchKeySet, self);
    }
    
    // aten::sgn_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & sgn_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::sgn_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sgn.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sgn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::sgn_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sgn.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sgn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::sgn_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::real(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor real(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::real::redispatch(dispatchKeySet, self);
    }
    
    // aten::imag(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor imag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::imag::redispatch(dispatchKeySet, self);
    }
    
    // aten::_conj(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor _conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_conj::redispatch(dispatchKeySet, self);
    }
    
    // aten::conj(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor __dispatch_conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::conj::redispatch(dispatchKeySet, self);
    }
    
    // aten::_conj_physical(Tensor self) -> Tensor
    TORCH_API inline at::Tensor _conj_physical(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_conj_physical::redispatch(dispatchKeySet, self);
    }
    
    // aten::conj_physical(Tensor self) -> Tensor
    TORCH_API inline at::Tensor conj_physical(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::conj_physical::redispatch(dispatchKeySet, self);
    }
    
    // aten::conj_physical.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & conj_physical_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::conj_physical_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::conj_physical.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & conj_physical_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::conj_physical_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::conj_physical_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & conj_physical_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::conj_physical_::redispatch(dispatchKeySet, self);
    }
    
    // aten::resolve_conj(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor resolve_conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::resolve_conj::redispatch(dispatchKeySet, self);
    }
    
    // aten::resolve_neg(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor resolve_neg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::resolve_neg::redispatch(dispatchKeySet, self);
    }
    
    // aten::_neg_view(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor _neg_view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_neg_view::redispatch(dispatchKeySet, self);
    }
    
    // aten::acos(Tensor self) -> Tensor
    TORCH_API inline at::Tensor acos(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::acos::redispatch(dispatchKeySet, self);
    }
    
    // aten::acos_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & acos_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::acos_::redispatch(dispatchKeySet, self);
    }
    
    // aten::acos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & acos_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::acos_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::acos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & acos_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::acos_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arccos(Tensor self) -> Tensor
    TORCH_API inline at::Tensor arccos(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::arccos::redispatch(dispatchKeySet, self);
    }
    
    // aten::arccos_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & arccos_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::arccos_::redispatch(dispatchKeySet, self);
    }
    
    // aten::arccos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arccos_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::arccos_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arccos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arccos_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::arccos_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::avg_pool1d(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, bool ceil_mode=False, bool count_include_pad=True) -> Tensor
    TORCH_API inline at::Tensor avg_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true) {
        return at::_ops::avg_pool1d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad);
    }
    
    // aten::adaptive_avg_pool1d(Tensor self, int[1] output_size) -> Tensor
    TORCH_API inline at::Tensor adaptive_avg_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_avg_pool1d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::adaptive_max_pool1d(Tensor self, int[1] output_size) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> adaptive_max_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_max_pool1d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::add_Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::add__Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & add_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::add_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & add_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::add_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::_add_relu.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor _add_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::_add_relu_Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::_add_relu_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & _add_relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::_add_relu__Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::_add_relu.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _add_relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::_add_relu_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::_add_relu.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _add_relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::_add_relu_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::_add_relu.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor _add_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::_add_relu_Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::_add_relu_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & _add_relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::_add_relu__Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::add.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::add_Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::add_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::add__Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::addmv(Tensor self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor addmv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addmv::redispatch(dispatchKeySet, self, mat, vec, beta, alpha);
    }
    
    // aten::addmv_(Tensor(a!) self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & addmv_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addmv_::redispatch(dispatchKeySet, self, mat, vec, beta, alpha);
    }
    
    // aten::addmv.out(Tensor self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addmv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addmv_out::redispatch(dispatchKeySet, self, mat, vec, beta, alpha, out);
    }
    
    // aten::addmv.out(Tensor self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addmv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::addmv_out::redispatch(dispatchKeySet, self, mat, vec, beta, alpha, out);
    }
    
    // aten::addr(Tensor self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor addr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addr::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha);
    }
    
    // aten::addr_(Tensor(a!) self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & addr_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addr_::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha);
    }
    
    // aten::addr.out(Tensor self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addr_out::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha, out);
    }
    
    // aten::addr.out(Tensor self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::addr_out::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha, out);
    }
    
    // aten::affine_grid_generator(Tensor theta, int[] size, bool align_corners) -> Tensor
    TORCH_API inline at::Tensor affine_grid_generator(c10::DispatchKeySet dispatchKeySet, const at::Tensor & theta, at::IntArrayRef size, bool align_corners) {
        return at::_ops::affine_grid_generator::redispatch(dispatchKeySet, theta, size, align_corners);
    }
    
    // aten::affine_grid_generator_backward(Tensor grad, int[] size, bool align_corners) -> Tensor
    TORCH_API inline at::Tensor affine_grid_generator_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef size, bool align_corners) {
        return at::_ops::affine_grid_generator_backward::redispatch(dispatchKeySet, grad, size, align_corners);
    }
    
    // aten::all.dim(Tensor self, int dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor all(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::all_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::all.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & all_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::all_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::all.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & all_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & out) {
        return at::_ops::all_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::all.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor all(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::all_dimname::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::all.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & all_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::all_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::all.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & all_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) {
        return at::_ops::all_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::allclose(Tensor self, Tensor other, float rtol=1e-05, float atol=1e-08, bool equal_nan=False) -> bool
    TORCH_API inline bool allclose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) {
        return at::_ops::allclose::redispatch(dispatchKeySet, self, other, rtol, atol, equal_nan);
    }
    
    // aten::any.dim(Tensor self, int dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor any(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::any_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & any_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::any_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & any_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & out) {
        return at::_ops::any_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor any(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::any_dimname::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & any_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::any_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & any_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) {
        return at::_ops::any_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::arange(Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & end, at::TensorOptions options={}) {
        return at::_ops::arange::redispatch(dispatchKeySet, end, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::arange(Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & end, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::arange::redispatch(dispatchKeySet, end, dtype, layout, device, pin_memory);
    }
    
    // aten::arange.start(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, at::TensorOptions options={}) {
        return at::_ops::arange_start::redispatch(dispatchKeySet, start, end, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::arange.start(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::arange_start::redispatch(dispatchKeySet, start, end, dtype, layout, device, pin_memory);
    }
    
    // aten::arange.start_step(Scalar start, Scalar end, Scalar step, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, at::TensorOptions options={}) {
        return at::_ops::arange_start_step::redispatch(dispatchKeySet, start, end, step, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::arange.start_step(Scalar start, Scalar end, Scalar step, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::arange_start_step::redispatch(dispatchKeySet, start, end, step, dtype, layout, device, pin_memory);
    }
    
    // aten::arange.out(Scalar end, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arange_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & end) {
        return at::_ops::arange_out::redispatch(dispatchKeySet, end, out);
    }
    
    // aten::arange.out(Scalar end, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arange_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & end, at::Tensor & out) {
        return at::_ops::arange_out::redispatch(dispatchKeySet, end, out);
    }
    
    // aten::arange.start_out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arange_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step=1) {
        return at::_ops::arange_start_out::redispatch(dispatchKeySet, start, end, step, out);
    }
    
    // aten::arange.start_out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arange_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, at::Tensor & out) {
        return at::_ops::arange_start_out::redispatch(dispatchKeySet, start, end, step, out);
    }
    
    // aten::_dim_arange(Tensor like, int dim) -> Tensor
    TORCH_API inline at::Tensor _dim_arange(c10::DispatchKeySet dispatchKeySet, const at::Tensor & like, int64_t dim) {
        return at::_ops::_dim_arange::redispatch(dispatchKeySet, like, dim);
    }
    
    // aten::argmax(Tensor self, int? dim=None, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor argmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::argmax::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::argmax.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & argmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::argmax_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::argmax.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & argmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) {
        return at::_ops::argmax_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::argmin(Tensor self, int? dim=None, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor argmin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::argmin::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::argmin.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & argmin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::argmin_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::argmin.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & argmin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) {
        return at::_ops::argmin_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::acosh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor acosh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::acosh::redispatch(dispatchKeySet, self);
    }
    
    // aten::acosh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & acosh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::acosh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::acosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & acosh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::acosh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::acosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & acosh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::acosh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arccosh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor arccosh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::arccosh::redispatch(dispatchKeySet, self);
    }
    
    // aten::arccosh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & arccosh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::arccosh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::arccosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arccosh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::arccosh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arccosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arccosh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::arccosh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::asinh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor asinh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::asinh::redispatch(dispatchKeySet, self);
    }
    
    // aten::asinh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & asinh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::asinh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::asinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & asinh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::asinh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::asinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & asinh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::asinh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arcsinh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor arcsinh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::arcsinh::redispatch(dispatchKeySet, self);
    }
    
    // aten::arcsinh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & arcsinh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::arcsinh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::arcsinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arcsinh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::arcsinh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arcsinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arcsinh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::arcsinh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::atanh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor atanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::atanh::redispatch(dispatchKeySet, self);
    }
    
    // aten::atanh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & atanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::atanh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::atanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & atanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::atanh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::atanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & atanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::atanh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arctanh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor arctanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::arctanh::redispatch(dispatchKeySet, self);
    }
    
    // aten::arctanh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & arctanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::arctanh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::arctanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arctanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::arctanh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arctanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arctanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::arctanh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::as_strided(Tensor(a) self, int[] size, int[] stride, int? storage_offset=None) -> Tensor(a)
    TORCH_API inline at::Tensor as_strided(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) {
        return at::_ops::as_strided::redispatch(dispatchKeySet, self, size, stride, storage_offset);
    }
    
    // aten::as_strided_(Tensor(a!) self, int[] size, int[] stride, int? storage_offset=None) -> Tensor(a!)
    TORCH_API inline const at::Tensor & as_strided_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) {
        return at::_ops::as_strided_::redispatch(dispatchKeySet, self, size, stride, storage_offset);
    }
    
    // aten::asin(Tensor self) -> Tensor
    TORCH_API inline at::Tensor asin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::asin::redispatch(dispatchKeySet, self);
    }
    
    // aten::asin_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & asin_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::asin_::redispatch(dispatchKeySet, self);
    }
    
    // aten::asin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & asin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::asin_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::asin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & asin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::asin_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arcsin(Tensor self) -> Tensor
    TORCH_API inline at::Tensor arcsin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::arcsin::redispatch(dispatchKeySet, self);
    }
    
    // aten::arcsin_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & arcsin_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::arcsin_::redispatch(dispatchKeySet, self);
    }
    
    // aten::arcsin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arcsin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::arcsin_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arcsin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arcsin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::arcsin_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::atan(Tensor self) -> Tensor
    TORCH_API inline at::Tensor atan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::atan::redispatch(dispatchKeySet, self);
    }
    
    // aten::atan_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & atan_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::atan_::redispatch(dispatchKeySet, self);
    }
    
    // aten::atan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & atan_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::atan_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::atan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & atan_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::atan_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arctan(Tensor self) -> Tensor
    TORCH_API inline at::Tensor arctan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::arctan::redispatch(dispatchKeySet, self);
    }
    
    // aten::arctan_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & arctan_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::arctan_::redispatch(dispatchKeySet, self);
    }
    
    // aten::arctan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arctan_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::arctan_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::arctan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & arctan_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::arctan_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::atleast_1d(Tensor self) -> Tensor
    TORCH_API inline at::Tensor atleast_1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::atleast_1d::redispatch(dispatchKeySet, self);
    }
    
    // aten::atleast_1d.Sequence(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> atleast_1d(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::atleast_1d_Sequence::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::atleast_2d(Tensor self) -> Tensor
    TORCH_API inline at::Tensor atleast_2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::atleast_2d::redispatch(dispatchKeySet, self);
    }
    
    // aten::atleast_2d.Sequence(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> atleast_2d(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::atleast_2d_Sequence::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::atleast_3d(Tensor self) -> Tensor
    TORCH_API inline at::Tensor atleast_3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::atleast_3d::redispatch(dispatchKeySet, self);
    }
    
    // aten::atleast_3d.Sequence(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> atleast_3d(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::atleast_3d_Sequence::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::baddbmm(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor baddbmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::baddbmm::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha);
    }
    
    // aten::baddbmm_(Tensor(a!) self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & baddbmm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::baddbmm_::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha);
    }
    
    // aten::_baddbmm_mkl_(Tensor(a!) self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & _baddbmm_mkl_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::_baddbmm_mkl_::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha);
    }
    
    // aten::baddbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & baddbmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::baddbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out);
    }
    
    // aten::baddbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & baddbmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::baddbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out);
    }
    
    // aten::bartlett_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) {
        return at::_ops::bartlett_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::bartlett_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::bartlett_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory);
    }
    
    // aten::bartlett_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) {
        return at::_ops::bartlett_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::bartlett_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::bartlett_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory);
    }
    
    // aten::batch_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, bool cudnn_enabled) -> Tensor
    TORCH_API inline at::Tensor batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps, bool cudnn_enabled) {
        return at::_ops::batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled);
    }
    
    // aten::quantized_batch_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor var, float eps, float output_scale, int output_zero_point) -> Tensor
    TORCH_API inline at::Tensor quantized_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & var, double eps, double output_scale, int64_t output_zero_point) {
        return at::_ops::quantized_batch_norm::redispatch(dispatchKeySet, input, weight, bias, mean, var, eps, output_scale, output_zero_point);
    }
    
    // aten::_batch_norm_impl_index(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, bool cudnn_enabled) -> (Tensor, Tensor, Tensor, Tensor, int)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> _batch_norm_impl_index(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps, bool cudnn_enabled) {
        return at::_ops::_batch_norm_impl_index::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled);
    }
    
    // aten::_batch_norm_impl_index_backward(int impl_index, Tensor input, Tensor grad_output, Tensor? weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var_transform, bool train, float eps, bool[3] output_mask, Tensor reservedSpace) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _batch_norm_impl_index_backward(c10::DispatchKeySet dispatchKeySet, int64_t impl_index, const at::Tensor & input, const at::Tensor & grad_output, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var_transform, bool train, double eps, ::std::array<bool,3> output_mask, const at::Tensor & reservedSpace) {
        return at::_ops::_batch_norm_impl_index_backward::redispatch(dispatchKeySet, impl_index, input, grad_output, weight, running_mean, running_var, save_mean, save_var_transform, train, eps, output_mask, reservedSpace);
    }
    
    // aten::bernoulli(Tensor self, *, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor bernoulli(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::bernoulli::redispatch(dispatchKeySet, self, generator);
    }
    
    // aten::bernoulli.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bernoulli_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::bernoulli_out::redispatch(dispatchKeySet, self, generator, out);
    }
    
    // aten::bernoulli.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bernoulli_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::bernoulli_out::redispatch(dispatchKeySet, self, generator, out);
    }
    
    // aten::bernoulli_.Tensor(Tensor(a!) self, Tensor p, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & bernoulli_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & p, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::bernoulli__Tensor::redispatch(dispatchKeySet, self, p, generator);
    }
    
    // aten::bernoulli_.float(Tensor(a!) self, float p=0.5, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & bernoulli_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p=0.5, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::bernoulli__float::redispatch(dispatchKeySet, self, p, generator);
    }
    
    // aten::bernoulli.p(Tensor self, float p, *, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor bernoulli(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::bernoulli_p::redispatch(dispatchKeySet, self, p, generator);
    }
    
    // aten::bilinear(Tensor input1, Tensor input2, Tensor weight, Tensor? bias) -> Tensor
    TORCH_API inline at::Tensor bilinear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & weight, const c10::optional<at::Tensor> & bias) {
        return at::_ops::bilinear::redispatch(dispatchKeySet, input1, input2, weight, bias);
    }
    
    // aten::binary_cross_entropy(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor binary_cross_entropy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::binary_cross_entropy::redispatch(dispatchKeySet, self, target, weight, reduction);
    }
    
    // aten::binary_cross_entropy.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & binary_cross_entropy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::binary_cross_entropy_out::redispatch(dispatchKeySet, self, target, weight, reduction, out);
    }
    
    // aten::binary_cross_entropy.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & binary_cross_entropy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & out) {
        return at::_ops::binary_cross_entropy_out::redispatch(dispatchKeySet, self, target, weight, reduction, out);
    }
    
    // aten::binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor binary_cross_entropy_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::binary_cross_entropy_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction);
    }
    
    // aten::binary_cross_entropy_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & binary_cross_entropy_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::binary_cross_entropy_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, grad_input);
    }
    
    // aten::binary_cross_entropy_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & binary_cross_entropy_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & grad_input) {
        return at::_ops::binary_cross_entropy_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, grad_input);
    }
    
    // aten::binary_cross_entropy_with_logits(Tensor self, Tensor target, Tensor? weight=None, Tensor? pos_weight=None, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor binary_cross_entropy_with_logits(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & pos_weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::binary_cross_entropy_with_logits::redispatch(dispatchKeySet, self, target, weight, pos_weight, reduction);
    }
    
    // aten::binary_cross_entropy_with_logits_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, Tensor? pos_weight=None, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor binary_cross_entropy_with_logits_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & pos_weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::binary_cross_entropy_with_logits_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, pos_weight, reduction);
    }
    
    // aten::bincount(Tensor self, Tensor? weights=None, int minlength=0) -> Tensor
    TORCH_API inline at::Tensor bincount(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & weights={}, int64_t minlength=0) {
        return at::_ops::bincount::redispatch(dispatchKeySet, self, weights, minlength);
    }
    
    // aten::bitwise_not(Tensor self) -> Tensor
    TORCH_API inline at::Tensor bitwise_not(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::bitwise_not::redispatch(dispatchKeySet, self);
    }
    
    // aten::bitwise_not_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_not_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::bitwise_not_::redispatch(dispatchKeySet, self);
    }
    
    // aten::bitwise_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_not_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::bitwise_not_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::bitwise_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_not_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::bitwise_not_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::copysign.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & copysign_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::copysign_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::copysign.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & copysign_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::copysign_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::copysign.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor copysign(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::copysign_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::copysign_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & copysign_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::copysign__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::copysign.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor copysign(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::copysign_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::copysign_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & copysign_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::copysign__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::copysign.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & copysign_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::copysign_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::copysign.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & copysign_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::copysign_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logical_not(Tensor self) -> Tensor
    TORCH_API inline at::Tensor logical_not(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::logical_not::redispatch(dispatchKeySet, self);
    }
    
    // aten::logical_not_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_not_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::logical_not_::redispatch(dispatchKeySet, self);
    }
    
    // aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_not_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::logical_not_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_not_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::logical_not_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::logical_xor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor logical_xor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_xor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::logical_xor_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_xor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_xor_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_xor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_xor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_xor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::logical_xor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logical_and(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor logical_and(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_and::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::logical_and_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_and_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_and_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::logical_and.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_and_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_and_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logical_and.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_and_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::logical_and_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logical_or(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor logical_or(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_or::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::logical_or_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_or_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_or_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::logical_or.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_or_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logical_or_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logical_or.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logical_or_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::logical_or_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::blackman_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) {
        return at::_ops::blackman_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::blackman_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::blackman_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory);
    }
    
    // aten::blackman_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) {
        return at::_ops::blackman_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::blackman_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::blackman_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory);
    }
    
    // aten::bmm(Tensor self, Tensor mat2) -> Tensor
    TORCH_API inline at::Tensor bmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2) {
        return at::_ops::bmm::redispatch(dispatchKeySet, self, mat2);
    }
    
    // aten::bmm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat2) {
        return at::_ops::bmm_out::redispatch(dispatchKeySet, self, mat2, out);
    }
    
    // aten::bmm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2, at::Tensor & out) {
        return at::_ops::bmm_out::redispatch(dispatchKeySet, self, mat2, out);
    }
    
    // aten::broadcast_tensors(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> broadcast_tensors(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::broadcast_tensors::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::broadcast_to(Tensor(a) self, int[] size) -> Tensor(a)
    TORCH_API inline at::Tensor broadcast_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) {
        return at::_ops::broadcast_to::redispatch(dispatchKeySet, self, size);
    }
    
    // aten::cat(Tensor[] tensors, int dim=0) -> Tensor
    TORCH_API inline at::Tensor cat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::cat::redispatch(dispatchKeySet, tensors, dim);
    }
    
    // aten::cat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::cat_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::cat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) {
        return at::_ops::cat_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::cat.names(Tensor[] tensors, Dimname dim) -> Tensor
    TORCH_API inline at::Tensor cat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim) {
        return at::_ops::cat_names::redispatch(dispatchKeySet, tensors, dim);
    }
    
    // aten::cat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, at::Dimname dim) {
        return at::_ops::cat_names_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::cat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim, at::Tensor & out) {
        return at::_ops::cat_names_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::concat(Tensor[] tensors, int dim=0) -> Tensor
    TORCH_API inline at::Tensor concat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::concat::redispatch(dispatchKeySet, tensors, dim);
    }
    
    // aten::concat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & concat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::concat_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::concat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & concat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) {
        return at::_ops::concat_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::concat.names(Tensor[] tensors, Dimname dim) -> Tensor
    TORCH_API inline at::Tensor concat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim) {
        return at::_ops::concat_names::redispatch(dispatchKeySet, tensors, dim);
    }
    
    // aten::concat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & concat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, at::Dimname dim) {
        return at::_ops::concat_names_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::concat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & concat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim, at::Tensor & out) {
        return at::_ops::concat_names_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::block_diag(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor block_diag(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::block_diag::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::ceil(Tensor self) -> Tensor
    TORCH_API inline at::Tensor ceil(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::ceil::redispatch(dispatchKeySet, self);
    }
    
    // aten::ceil_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & ceil_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::ceil_::redispatch(dispatchKeySet, self);
    }
    
    // aten::ceil.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ceil_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::ceil_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::ceil.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ceil_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::ceil_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::chain_matmul(Tensor[] matrices) -> Tensor
    TORCH_API inline at::Tensor chain_matmul(c10::DispatchKeySet dispatchKeySet, at::TensorList matrices) {
        return at::_ops::chain_matmul::redispatch(dispatchKeySet, matrices);
    }
    
    // aten::chain_matmul.out(Tensor[] matrices, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & chain_matmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList matrices) {
        return at::_ops::chain_matmul_out::redispatch(dispatchKeySet, matrices, out);
    }
    
    // aten::chain_matmul.out(Tensor[] matrices, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & chain_matmul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList matrices, at::Tensor & out) {
        return at::_ops::chain_matmul_out::redispatch(dispatchKeySet, matrices, out);
    }
    
    // aten::unsafe_chunk(Tensor self, int chunks, int dim=0) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> unsafe_chunk(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t chunks, int64_t dim=0) {
        return at::_ops::unsafe_chunk::redispatch(dispatchKeySet, self, chunks, dim);
    }
    
    // aten::chunk(Tensor(a) self, int chunks, int dim=0) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> chunk(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t chunks, int64_t dim=0) {
        return at::_ops::chunk::redispatch(dispatchKeySet, self, chunks, dim);
    }
    
    // aten::tensor_split.sections(Tensor(a) self, int sections, int dim=0) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> tensor_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections, int64_t dim=0) {
        return at::_ops::tensor_split_sections::redispatch(dispatchKeySet, self, sections, dim);
    }
    
    // aten::tensor_split.indices(Tensor(a) self, int[] indices, int dim=0) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> tensor_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices, int64_t dim=0) {
        return at::_ops::tensor_split_indices::redispatch(dispatchKeySet, self, indices, dim);
    }
    
    // aten::tensor_split.tensor_indices_or_sections(Tensor(a) self, Tensor tensor_indices_or_sections, int dim=0) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> tensor_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor_indices_or_sections, int64_t dim=0) {
        return at::_ops::tensor_split_tensor_indices_or_sections::redispatch(dispatchKeySet, self, tensor_indices_or_sections, dim);
    }
    
    // aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor
    TORCH_API inline at::Tensor clamp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) {
        return at::_ops::clamp::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clamp.Tensor(Tensor self, Tensor? min=None, Tensor? max=None) -> Tensor
    TORCH_API inline at::Tensor clamp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) {
        return at::_ops::clamp_Tensor::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clamp_(Tensor(a!) self, Scalar? min=None, Scalar? max=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) {
        return at::_ops::clamp_::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clamp_.Tensor(Tensor(a!) self, Tensor? min=None, Tensor? max=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) {
        return at::_ops::clamp__Tensor::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clamp.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) {
        return at::_ops::clamp_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::clamp.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max, at::Tensor & out) {
        return at::_ops::clamp_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::clamp.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) {
        return at::_ops::clamp_Tensor_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::clamp.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max, at::Tensor & out) {
        return at::_ops::clamp_Tensor_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::clamp_max(Tensor self, Scalar max) -> Tensor
    TORCH_API inline at::Tensor clamp_max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & max) {
        return at::_ops::clamp_max::redispatch(dispatchKeySet, self, max);
    }
    
    // aten::clamp_max.Tensor(Tensor self, Tensor max) -> Tensor
    TORCH_API inline at::Tensor clamp_max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & max) {
        return at::_ops::clamp_max_Tensor::redispatch(dispatchKeySet, self, max);
    }
    
    // aten::clamp_max_(Tensor(a!) self, Scalar max) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_max_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & max) {
        return at::_ops::clamp_max_::redispatch(dispatchKeySet, self, max);
    }
    
    // aten::clamp_max_.Tensor(Tensor(a!) self, Tensor max) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_max_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & max) {
        return at::_ops::clamp_max__Tensor::redispatch(dispatchKeySet, self, max);
    }
    
    // aten::clamp_max.out(Tensor self, Scalar max, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & max) {
        return at::_ops::clamp_max_out::redispatch(dispatchKeySet, self, max, out);
    }
    
    // aten::clamp_max.out(Tensor self, Scalar max, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & max, at::Tensor & out) {
        return at::_ops::clamp_max_out::redispatch(dispatchKeySet, self, max, out);
    }
    
    // aten::clamp_max.Tensor_out(Tensor self, Tensor max, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & max) {
        return at::_ops::clamp_max_Tensor_out::redispatch(dispatchKeySet, self, max, out);
    }
    
    // aten::clamp_max.Tensor_out(Tensor self, Tensor max, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & max, at::Tensor & out) {
        return at::_ops::clamp_max_Tensor_out::redispatch(dispatchKeySet, self, max, out);
    }
    
    // aten::clamp_min(Tensor self, Scalar min) -> Tensor
    TORCH_API inline at::Tensor clamp_min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min) {
        return at::_ops::clamp_min::redispatch(dispatchKeySet, self, min);
    }
    
    // aten::clamp_min.Tensor(Tensor self, Tensor min) -> Tensor
    TORCH_API inline at::Tensor clamp_min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & min) {
        return at::_ops::clamp_min_Tensor::redispatch(dispatchKeySet, self, min);
    }
    
    // aten::clamp_min_(Tensor(a!) self, Scalar min) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_min_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & min) {
        return at::_ops::clamp_min_::redispatch(dispatchKeySet, self, min);
    }
    
    // aten::clamp_min_.Tensor(Tensor(a!) self, Tensor min) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_min_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & min) {
        return at::_ops::clamp_min__Tensor::redispatch(dispatchKeySet, self, min);
    }
    
    // aten::clamp_min.out(Tensor self, Scalar min, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & min) {
        return at::_ops::clamp_min_out::redispatch(dispatchKeySet, self, min, out);
    }
    
    // aten::clamp_min.out(Tensor self, Scalar min, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min, at::Tensor & out) {
        return at::_ops::clamp_min_out::redispatch(dispatchKeySet, self, min, out);
    }
    
    // aten::clamp_min.Tensor_out(Tensor self, Tensor min, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & min) {
        return at::_ops::clamp_min_Tensor_out::redispatch(dispatchKeySet, self, min, out);
    }
    
    // aten::clamp_min.Tensor_out(Tensor self, Tensor min, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clamp_min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & min, at::Tensor & out) {
        return at::_ops::clamp_min_Tensor_out::redispatch(dispatchKeySet, self, min, out);
    }
    
    // aten::clip(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor
    TORCH_API inline at::Tensor clip(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) {
        return at::_ops::clip::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clip.Tensor(Tensor self, Tensor? min=None, Tensor? max=None) -> Tensor
    TORCH_API inline at::Tensor clip(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) {
        return at::_ops::clip_Tensor::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clip_(Tensor(a!) self, Scalar? min=None, Scalar? max=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & clip_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) {
        return at::_ops::clip_::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clip_.Tensor(Tensor(a!) self, Tensor? min=None, Tensor? max=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & clip_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) {
        return at::_ops::clip__Tensor::redispatch(dispatchKeySet, self, min, max);
    }
    
    // aten::clip.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clip_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) {
        return at::_ops::clip_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::clip.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clip_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max, at::Tensor & out) {
        return at::_ops::clip_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::clip.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clip_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) {
        return at::_ops::clip_Tensor_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::clip.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & clip_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max, at::Tensor & out) {
        return at::_ops::clip_Tensor_out::redispatch(dispatchKeySet, self, min, max, out);
    }
    
    // aten::cudnn_is_acceptable(Tensor self) -> bool
    TORCH_API inline bool cudnn_is_acceptable(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::cudnn_is_acceptable::redispatch(dispatchKeySet, self);
    }
    
    // aten::complex(Tensor real, Tensor imag) -> Tensor
    TORCH_API inline at::Tensor complex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & real, const at::Tensor & imag) {
        return at::_ops::complex::redispatch(dispatchKeySet, real, imag);
    }
    
    // aten::complex.out(Tensor real, Tensor imag, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & complex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & real, const at::Tensor & imag) {
        return at::_ops::complex_out::redispatch(dispatchKeySet, real, imag, out);
    }
    
    // aten::complex.out(Tensor real, Tensor imag, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & complex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & real, const at::Tensor & imag, at::Tensor & out) {
        return at::_ops::complex_out::redispatch(dispatchKeySet, real, imag, out);
    }
    
    // aten::polar(Tensor abs, Tensor angle) -> Tensor
    TORCH_API inline at::Tensor polar(c10::DispatchKeySet dispatchKeySet, const at::Tensor & abs, const at::Tensor & angle) {
        return at::_ops::polar::redispatch(dispatchKeySet, abs, angle);
    }
    
    // aten::polar.out(Tensor abs, Tensor angle, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & polar_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & abs, const at::Tensor & angle) {
        return at::_ops::polar_out::redispatch(dispatchKeySet, abs, angle, out);
    }
    
    // aten::polar.out(Tensor abs, Tensor angle, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & polar_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & abs, const at::Tensor & angle, at::Tensor & out) {
        return at::_ops::polar_out::redispatch(dispatchKeySet, abs, angle, out);
    }
    
    // aten::constant_pad_nd(Tensor self, int[] pad, Scalar value=0) -> Tensor
    TORCH_API inline at::Tensor constant_pad_nd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef pad, const at::Scalar & value=0) {
        return at::_ops::constant_pad_nd::redispatch(dispatchKeySet, self, pad, value);
    }
    
    // aten::contiguous(Tensor(a) self, *, MemoryFormat memory_format=contiguous_format) -> Tensor(a)
    TORCH_API inline at::Tensor __dispatch_contiguous(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::MemoryFormat memory_format=MemoryFormat::Contiguous) {
        return at::_ops::contiguous::redispatch(dispatchKeySet, self, memory_format);
    }
    
    // aten::convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups) -> Tensor
    TORCH_API inline at::Tensor convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups) {
        return at::_ops::convolution::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups);
    }
    
    // aten::convolution_overrideable(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups) -> Tensor
    TORCH_API inline at::Tensor convolution_overrideable(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups) {
        return at::_ops::convolution_overrideable::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups);
    }
    
    // aten::convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> convolution_backward_overrideable(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) {
        return at::_ops::convolution_backward_overrideable::redispatch(dispatchKeySet, grad_output, input, weight, stride, padding, dilation, transposed, output_padding, groups, output_mask);
    }
    
    // aten::_convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) -> Tensor
    TORCH_API inline at::Tensor _convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) {
        return at::_ops::_convolution::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled, allow_tf32);
    }
    
    // aten::_convolution.deprecated(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled) -> Tensor
    TORCH_API inline at::Tensor _convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled) {
        return at::_ops::_convolution_deprecated::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled);
    }
    
    // aten::_convolution_mode(Tensor input, Tensor weight, Tensor? bias, int[] stride, str padding, int[] dilation, int groups) -> Tensor
    TORCH_API inline at::Tensor _convolution_mode(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation, int64_t groups) {
        return at::_ops::_convolution_mode::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::_convolution_nogroup(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding) -> Tensor
    TORCH_API inline at::Tensor _convolution_nogroup(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding) {
        return at::_ops::_convolution_nogroup::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding);
    }
    
    // aten::_convolution_double_backward(Tensor? ggI, Tensor? ggW, Tensor? ggb, Tensor gO, Tensor weight, Tensor self, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _convolution_double_backward(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & ggI, const c10::optional<at::Tensor> & ggW, const c10::optional<at::Tensor> & ggb, const at::Tensor & gO, const at::Tensor & weight, const at::Tensor & self, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, ::std::array<bool,3> output_mask) {
        return at::_ops::_convolution_double_backward::redispatch(dispatchKeySet, ggI, ggW, ggb, gO, weight, self, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled, allow_tf32, output_mask);
    }
    
    // aten::conv1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor conv1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::conv1d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor conv2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::conv2d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::conv3d(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor conv3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::conv3d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::conv1d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, str padding="valid", int[1] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor conv1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::conv1d_padding::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, str padding="valid", int[2] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor conv2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::conv2d_padding::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::conv3d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, str padding="valid", int[3] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor conv3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::conv3d_padding::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::conv_tbc(Tensor self, Tensor weight, Tensor bias, int pad=0) -> Tensor
    TORCH_API inline at::Tensor conv_tbc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & bias, int64_t pad=0) {
        return at::_ops::conv_tbc::redispatch(dispatchKeySet, self, weight, bias, pad);
    }
    
    // aten::conv_tbc_backward(Tensor self, Tensor input, Tensor weight, Tensor bias, int pad) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> conv_tbc_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & bias, int64_t pad) {
        return at::_ops::conv_tbc_backward::redispatch(dispatchKeySet, self, input, weight, bias, pad);
    }
    
    // aten::conv_transpose1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] output_padding=0, int groups=1, int[1] dilation=1) -> Tensor
    TORCH_API inline at::Tensor conv_transpose1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, int64_t groups=1, at::IntArrayRef dilation=1) {
        return at::_ops::conv_transpose1d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, output_padding, groups, dilation);
    }
    
    // aten::conv_transpose2d.input(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] output_padding=0, int groups=1, int[2] dilation=1) -> Tensor
    TORCH_API inline at::Tensor conv_transpose2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, int64_t groups=1, at::IntArrayRef dilation=1) {
        return at::_ops::conv_transpose2d_input::redispatch(dispatchKeySet, input, weight, bias, stride, padding, output_padding, groups, dilation);
    }
    
    // aten::conv_transpose3d.input(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] output_padding=0, int groups=1, int[3] dilation=1) -> Tensor
    TORCH_API inline at::Tensor conv_transpose3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, int64_t groups=1, at::IntArrayRef dilation=1) {
        return at::_ops::conv_transpose3d_input::redispatch(dispatchKeySet, input, weight, bias, stride, padding, output_padding, groups, dilation);
    }
    
    // aten::copy_(Tensor(a!) self, Tensor src, bool non_blocking=False) -> Tensor(a!)
    TORCH_API inline at::Tensor & copy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & src, bool non_blocking=false) {
        return at::_ops::copy_::redispatch(dispatchKeySet, self, src, non_blocking);
    }
    
    // aten::_copy_from(Tensor self, Tensor dst, bool non_blocking=False) -> Tensor
    TORCH_API inline at::Tensor _copy_from(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & dst, bool non_blocking=false) {
        return at::_ops::_copy_from::redispatch(dispatchKeySet, self, dst, non_blocking);
    }
    
    // aten::_copy_from_and_resize(Tensor self, Tensor dst) -> Tensor
    TORCH_API inline at::Tensor _copy_from_and_resize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & dst) {
        return at::_ops::_copy_from_and_resize::redispatch(dispatchKeySet, self, dst);
    }
    
    // aten::cos(Tensor self) -> Tensor
    TORCH_API inline at::Tensor cos(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::cos::redispatch(dispatchKeySet, self);
    }
    
    // aten::cos_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & cos_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::cos_::redispatch(dispatchKeySet, self);
    }
    
    // aten::cos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cos_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::cos_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::cos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cos_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::cos_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::cosh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor cosh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::cosh::redispatch(dispatchKeySet, self);
    }
    
    // aten::cosh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & cosh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::cosh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::cosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cosh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::cosh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::cosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cosh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::cosh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, float margin=0.0, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor cosine_embedding_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin=0.0, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::cosine_embedding_loss::redispatch(dispatchKeySet, input1, input2, target, margin, reduction);
    }
    
    // aten::count_nonzero.dim_IntList(Tensor self, int[] dim) -> Tensor
    TORCH_API inline at::Tensor count_nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim) {
        return at::_ops::count_nonzero_dim_IntList::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::count_nonzero(Tensor self, int? dim=None) -> Tensor
    TORCH_API inline at::Tensor count_nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt) {
        return at::_ops::count_nonzero::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::cov(Tensor self, *, int correction=1, Tensor? fweights=None, Tensor? aweights=None) -> Tensor
    TORCH_API inline at::Tensor cov(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t correction=1, const c10::optional<at::Tensor> & fweights={}, const c10::optional<at::Tensor> & aweights={}) {
        return at::_ops::cov::redispatch(dispatchKeySet, self, correction, fweights, aweights);
    }
    
    // aten::corrcoef(Tensor self) -> Tensor
    TORCH_API inline at::Tensor corrcoef(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::corrcoef::redispatch(dispatchKeySet, self);
    }
    
    // aten::cudnn_affine_grid_generator(Tensor theta, int N, int C, int H, int W) -> Tensor grid
    TORCH_API inline at::Tensor cudnn_affine_grid_generator(c10::DispatchKeySet dispatchKeySet, const at::Tensor & theta, int64_t N, int64_t C, int64_t H, int64_t W) {
        return at::_ops::cudnn_affine_grid_generator::redispatch(dispatchKeySet, theta, N, C, H, W);
    }
    
    // aten::cudnn_affine_grid_generator_backward(Tensor grad, int N, int C, int H, int W) -> Tensor grad_theta
    TORCH_API inline at::Tensor cudnn_affine_grid_generator_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, int64_t N, int64_t C, int64_t H, int64_t W) {
        return at::_ops::cudnn_affine_grid_generator_backward::redispatch(dispatchKeySet, grad, N, C, H, W);
    }
    
    // aten::cudnn_batch_norm(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon) -> (Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> cudnn_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon) {
        return at::_ops::cudnn_batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon);
    }
    
    // aten::cudnn_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon, Tensor reserveSpace) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> cudnn_batch_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon, const at::Tensor & reserveSpace) {
        return at::_ops::cudnn_batch_norm_backward::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace);
    }
    
    // aten::cudnn_convolution.deprecated(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::cudnn_convolution_deprecated::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::cudnn_convolution.deprecated2(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::cudnn_convolution_deprecated2::redispatch(dispatchKeySet, self, weight, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::cudnn_convolution(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) {
        return at::_ops::cudnn_convolution::redispatch(dispatchKeySet, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32);
    }
    
    // aten::cudnn_convolution_backward_input(int[] self_size, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_backward_input(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef self_size, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) {
        return at::_ops::cudnn_convolution_backward_input::redispatch(dispatchKeySet, self_size, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32);
    }
    
    // aten::cudnn_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, bool[2] output_mask) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> cudnn_convolution_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32, ::std::array<bool,2> output_mask) {
        return at::_ops::cudnn_convolution_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32, output_mask);
    }
    
    // aten::cudnn_convolution_backward_weight(int[] weight_size, Tensor grad_output, Tensor self, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_backward_weight(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef weight_size, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) {
        return at::_ops::cudnn_convolution_backward_weight::redispatch(dispatchKeySet, weight_size, grad_output, self, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32);
    }
    
    // aten::cudnn_convolution_transpose.deprecated(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::cudnn_convolution_transpose_deprecated::redispatch(dispatchKeySet, self, weight, bias, padding, output_padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::cudnn_convolution_transpose.deprecated2(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::cudnn_convolution_transpose_deprecated2::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::cudnn_convolution_transpose(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) {
        return at::_ops::cudnn_convolution_transpose::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32);
    }
    
    // aten::cudnn_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, bool[2] output_mask) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> cudnn_convolution_transpose_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32, ::std::array<bool,2> output_mask) {
        return at::_ops::cudnn_convolution_transpose_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32, output_mask);
    }
    
    // aten::cudnn_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_transpose_backward_input(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) {
        return at::_ops::cudnn_convolution_transpose_backward_input::redispatch(dispatchKeySet, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32);
    }
    
    // aten::cudnn_convolution_transpose_backward_weight(int[] weight_size, Tensor grad_output, Tensor self, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_transpose_backward_weight(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef weight_size, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) {
        return at::_ops::cudnn_convolution_transpose_backward_weight::redispatch(dispatchKeySet, weight_size, grad_output, self, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32);
    }
    
    // aten::cudnn_convolution_relu(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) {
        return at::_ops::cudnn_convolution_relu::redispatch(dispatchKeySet, self, weight, bias, stride, padding, dilation, groups);
    }
    
    // aten::cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
    TORCH_API inline at::Tensor cudnn_convolution_add_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & z, const c10::optional<at::Scalar> & alpha, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) {
        return at::_ops::cudnn_convolution_add_relu::redispatch(dispatchKeySet, self, weight, z, alpha, bias, stride, padding, dilation, groups);
    }
    
    // aten::cudnn_grid_sampler(Tensor self, Tensor grid) -> Tensor output
    TORCH_API inline at::Tensor cudnn_grid_sampler(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid) {
        return at::_ops::cudnn_grid_sampler::redispatch(dispatchKeySet, self, grid);
    }
    
    // aten::cudnn_grid_sampler_backward(Tensor self, Tensor grid, Tensor grad_output) -> (Tensor grad_self, Tensor grad_grid)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> cudnn_grid_sampler_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output) {
        return at::_ops::cudnn_grid_sampler_backward::redispatch(dispatchKeySet, self, grid, grad_output);
    }
    
    // aten::cummax(Tensor self, int dim) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> cummax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::cummax::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::cummax.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim) {
        return at::_ops::cummax_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::cummax.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::cummax_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::cummax.dimname(Tensor self, Dimname dim) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> cummax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::cummax_dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::cummax.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::cummax_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::cummax.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::cummax_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::_cummax_helper(Tensor self, Tensor(a!) values, Tensor(b!) indices, int dim) -> ()
    TORCH_API inline void _cummax_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim) {
        return at::_ops::_cummax_helper::redispatch(dispatchKeySet, self, values, indices, dim);
    }
    
    // aten::cummin(Tensor self, int dim) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> cummin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::cummin::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::cummin.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim) {
        return at::_ops::cummin_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::cummin.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::cummin_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::cummin.dimname(Tensor self, Dimname dim) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> cummin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::cummin_dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::cummin.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::cummin_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::cummin.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::cummin_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices);
    }
    
    // aten::_cummin_helper(Tensor self, Tensor(a!) values, Tensor(b!) indices, int dim) -> ()
    TORCH_API inline void _cummin_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim) {
        return at::_ops::_cummin_helper::redispatch(dispatchKeySet, self, values, indices, dim);
    }
    
    // aten::cummaxmin_backward(Tensor grad, Tensor input, Tensor indices, int dim) -> Tensor
    TORCH_API inline at::Tensor cummaxmin_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input, const at::Tensor & indices, int64_t dim) {
        return at::_ops::cummaxmin_backward::redispatch(dispatchKeySet, grad, input, indices, dim);
    }
    
    // aten::cumprod(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor cumprod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumprod::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumprod_(Tensor(a!) self, int dim, *, ScalarType? dtype=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumprod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumprod_::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumprod.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumprod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumprod_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumprod.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumprod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::cumprod_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumprod.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor cumprod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumprod_dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumprod_.dimname(Tensor(a!) self, Dimname dim, *, ScalarType? dtype=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumprod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumprod__dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumprod.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumprod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumprod_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumprod.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumprod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::cumprod_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumprod_backward(Tensor grad, Tensor input, int dim, Tensor output) -> Tensor
    TORCH_API inline at::Tensor cumprod_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input, int64_t dim, const at::Tensor & output) {
        return at::_ops::cumprod_backward::redispatch(dispatchKeySet, grad, input, dim, output);
    }
    
    // aten::cumsum(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor cumsum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumsum::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumsum_(Tensor(a!) self, int dim, *, ScalarType? dtype=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumsum_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumsum_::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumsum.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumsum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumsum_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumsum.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumsum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::cumsum_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumsum.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor cumsum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumsum_dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumsum_.dimname(Tensor(a!) self, Dimname dim, *, ScalarType? dtype=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumsum_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumsum__dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::cumsum.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumsum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::cumsum_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumsum.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cumsum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::cumsum_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out);
    }
    
    // aten::cumulative_trapezoid.x(Tensor y, Tensor x, *, int dim=-1) -> Tensor
    TORCH_API inline at::Tensor cumulative_trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Tensor & x, int64_t dim=-1) {
        return at::_ops::cumulative_trapezoid_x::redispatch(dispatchKeySet, y, x, dim);
    }
    
    // aten::cumulative_trapezoid.dx(Tensor y, *, Scalar dx=1, int dim=-1) -> Tensor
    TORCH_API inline at::Tensor cumulative_trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Scalar & dx=1, int64_t dim=-1) {
        return at::_ops::cumulative_trapezoid_dx::redispatch(dispatchKeySet, y, dx, dim);
    }
    
    // aten::ctc_loss.IntList(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank=0, int reduction=Mean, bool zero_infinity=False) -> Tensor
    TORCH_API inline at::Tensor ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank=0, int64_t reduction=at::Reduction::Mean, bool zero_infinity=false) {
        return at::_ops::ctc_loss_IntList::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity);
    }
    
    // aten::ctc_loss.Tensor(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, int blank=0, int reduction=Mean, bool zero_infinity=False) -> Tensor
    TORCH_API inline at::Tensor ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank=0, int64_t reduction=at::Reduction::Mean, bool zero_infinity=false) {
        return at::_ops::ctc_loss_Tensor::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity);
    }
    
    // aten::_ctc_loss(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank=0, bool zero_infinity=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank=0, bool zero_infinity=false) {
        return at::_ops::_ctc_loss::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, zero_infinity);
    }
    
    // aten::_ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, int blank, bool zero_infinity=False) -> Tensor
    TORCH_API inline at::Tensor _ctc_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, const at::Tensor & neg_log_likelihood, const at::Tensor & log_alpha, int64_t blank, bool zero_infinity=false) {
        return at::_ops::_ctc_loss_backward::redispatch(dispatchKeySet, grad, log_probs, targets, input_lengths, target_lengths, neg_log_likelihood, log_alpha, blank, zero_infinity);
    }
    
    // aten::diag_embed(Tensor self, int offset=0, int dim1=-2, int dim2=-1) -> Tensor
    TORCH_API inline at::Tensor diag_embed(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset=0, int64_t dim1=-2, int64_t dim2=-1) {
        return at::_ops::diag_embed::redispatch(dispatchKeySet, self, offset, dim1, dim2);
    }
    
    // aten::diagflat(Tensor self, int offset=0) -> Tensor
    TORCH_API inline at::Tensor diagflat(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset=0) {
        return at::_ops::diagflat::redispatch(dispatchKeySet, self, offset);
    }
    
    // aten::diagonal(Tensor(a) self, int offset=0, int dim1=0, int dim2=1) -> Tensor(a)
    TORCH_API inline at::Tensor diagonal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) {
        return at::_ops::diagonal::redispatch(dispatchKeySet, self, offset, dim1, dim2);
    }
    
    // aten::diagonal.Dimname(Tensor(a) self, *, Dimname outdim, Dimname dim1, Dimname dim2, int offset=0) -> Tensor(a)
    TORCH_API inline at::Tensor diagonal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset=0) {
        return at::_ops::diagonal_Dimname::redispatch(dispatchKeySet, self, outdim, dim1, dim2, offset);
    }
    
    // aten::diagonal_backward(Tensor grad_output, int[] input_sizes, int offset, int dim1, int dim2) -> Tensor
    TORCH_API inline at::Tensor diagonal_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t offset, int64_t dim1, int64_t dim2) {
        return at::_ops::diagonal_backward::redispatch(dispatchKeySet, grad_output, input_sizes, offset, dim1, dim2);
    }
    
    // aten::fill_diagonal_(Tensor(a!) self, Scalar fill_value, bool wrap=False) -> Tensor(a!)
    TORCH_API inline at::Tensor & fill_diagonal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & fill_value, bool wrap=false) {
        return at::_ops::fill_diagonal_::redispatch(dispatchKeySet, self, fill_value, wrap);
    }
    
    // aten::diff(Tensor self, int n=1, int dim=-1, Tensor? prepend=None, Tensor? append=None) -> Tensor
    TORCH_API inline at::Tensor diff(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n=1, int64_t dim=-1, const c10::optional<at::Tensor> & prepend={}, const c10::optional<at::Tensor> & append={}) {
        return at::_ops::diff::redispatch(dispatchKeySet, self, n, dim, prepend, append);
    }
    
    // aten::diff.out(Tensor self, int n=1, int dim=-1, Tensor? prepend=None, Tensor? append=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & diff_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t n=1, int64_t dim=-1, const c10::optional<at::Tensor> & prepend={}, const c10::optional<at::Tensor> & append={}) {
        return at::_ops::diff_out::redispatch(dispatchKeySet, self, n, dim, prepend, append, out);
    }
    
    // aten::diff.out(Tensor self, int n=1, int dim=-1, Tensor? prepend=None, Tensor? append=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & diff_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n, int64_t dim, const c10::optional<at::Tensor> & prepend, const c10::optional<at::Tensor> & append, at::Tensor & out) {
        return at::_ops::diff_out::redispatch(dispatchKeySet, self, n, dim, prepend, append, out);
    }
    
    // aten::gradient.scalarint(Tensor self, *, Scalar? spacing=None, int? dim=None, int edge_order=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & spacing=c10::nullopt, c10::optional<int64_t> dim=c10::nullopt, int64_t edge_order=1) {
        return at::_ops::gradient_scalarint::redispatch(dispatchKeySet, self, spacing, dim, edge_order);
    }
    
    // aten::gradient.scalararray(Tensor self, *, Scalar spacing, int[] dim, int edge_order=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & spacing, at::IntArrayRef dim, int64_t edge_order=1) {
        return at::_ops::gradient_scalararray::redispatch(dispatchKeySet, self, spacing, dim, edge_order);
    }
    
    // aten::gradient.array(Tensor self, *, int[] dim, int edge_order=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order=1) {
        return at::_ops::gradient_array::redispatch(dispatchKeySet, self, dim, edge_order);
    }
    
    // aten::gradient.scalarrayint(Tensor self, *, Scalar[] spacing, int? dim=None, int edge_order=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, c10::optional<int64_t> dim=c10::nullopt, int64_t edge_order=1) {
        return at::_ops::gradient_scalarrayint::redispatch(dispatchKeySet, self, spacing, dim, edge_order);
    }
    
    // aten::gradient.scalarrayarray(Tensor self, *, Scalar[] spacing, int[] dim, int edge_order=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, at::IntArrayRef dim, int64_t edge_order=1) {
        return at::_ops::gradient_scalarrayarray::redispatch(dispatchKeySet, self, spacing, dim, edge_order);
    }
    
    // aten::gradient.tensorarrayint(Tensor self, *, Tensor[] spacing, int? dim=None, int edge_order=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, c10::optional<int64_t> dim=c10::nullopt, int64_t edge_order=1) {
        return at::_ops::gradient_tensorarrayint::redispatch(dispatchKeySet, self, spacing, dim, edge_order);
    }
    
    // aten::gradient.tensorarray(Tensor self, *, Tensor[] spacing, int[] dim, int edge_order=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order=1) {
        return at::_ops::gradient_tensorarray::redispatch(dispatchKeySet, self, spacing, dim, edge_order);
    }
    
    // aten::div.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::div_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::div_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::div__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::div.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::div_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::div.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::div_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::div.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> Tensor
    TORCH_API inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::div_Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::div_.Tensor_mode(Tensor(a!) self, Tensor other, *, str? rounding_mode) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::div__Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::div.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::div_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out);
    }
    
    // aten::div.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode, at::Tensor & out) {
        return at::_ops::div_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out);
    }
    
    // aten::div.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::div_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::div_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::div__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::div.Scalar_mode(Tensor self, Scalar other, *, str? rounding_mode) -> Tensor
    TORCH_API inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::div_Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::div_.Scalar_mode(Tensor(a!) self, Scalar other, *, str? rounding_mode) -> Tensor(a!)
    TORCH_API inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::div__Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::divide.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::divide_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::divide__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::divide_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::divide_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::divide.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::divide_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::divide__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::divide.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> Tensor
    TORCH_API inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::divide_Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::divide_.Tensor_mode(Tensor(a!) self, Tensor other, *, str? rounding_mode) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::divide__Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::divide.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::divide_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out);
    }
    
    // aten::divide.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode, at::Tensor & out) {
        return at::_ops::divide_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out);
    }
    
    // aten::divide.Scalar_mode(Tensor self, Scalar other, *, str? rounding_mode) -> Tensor
    TORCH_API inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::divide_Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::divide_.Scalar_mode(Tensor(a!) self, Scalar other, *, str? rounding_mode) -> Tensor(a!)
    TORCH_API inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) {
        return at::_ops::divide__Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode);
    }
    
    // aten::true_divide.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor true_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::true_divide_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::true_divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & true_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::true_divide__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::true_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & true_divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::true_divide_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::true_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & true_divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::true_divide_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::true_divide.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor true_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::true_divide_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::true_divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & true_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::true_divide__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::dot(Tensor self, Tensor tensor) -> Tensor
    TORCH_API inline at::Tensor dot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor) {
        return at::_ops::dot::redispatch(dispatchKeySet, self, tensor);
    }
    
    // aten::dot.out(Tensor self, Tensor tensor, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & dot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor) {
        return at::_ops::dot_out::redispatch(dispatchKeySet, self, tensor, out);
    }
    
    // aten::dot.out(Tensor self, Tensor tensor, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & dot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor, at::Tensor & out) {
        return at::_ops::dot_out::redispatch(dispatchKeySet, self, tensor, out);
    }
    
    // aten::vdot(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor vdot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::vdot::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::vdot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & vdot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::vdot_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::vdot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & vdot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::vdot_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::einsum(str equation, Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor einsum(c10::DispatchKeySet dispatchKeySet, c10::string_view equation, at::TensorList tensors) {
        return at::_ops::einsum::redispatch(dispatchKeySet, equation, tensors);
    }
    
    // aten::embedding(Tensor weight, Tensor indices, int padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> Tensor
    TORCH_API inline at::Tensor embedding(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, int64_t padding_idx=-1, bool scale_grad_by_freq=false, bool sparse=false) {
        return at::_ops::embedding::redispatch(dispatchKeySet, weight, indices, padding_idx, scale_grad_by_freq, sparse);
    }
    
    // aten::embedding_backward(Tensor grad, Tensor indices, int num_weights, int padding_idx, bool scale_grad_by_freq, bool sparse) -> Tensor
    TORCH_API inline at::Tensor embedding_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq, bool sparse) {
        return at::_ops::embedding_backward::redispatch(dispatchKeySet, grad, indices, num_weights, padding_idx, scale_grad_by_freq, sparse);
    }
    
    // aten::embedding_dense_backward(Tensor grad_output, Tensor indices, int num_weights, int padding_idx, bool scale_grad_by_freq) -> Tensor
    TORCH_API inline at::Tensor embedding_dense_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) {
        return at::_ops::embedding_dense_backward::redispatch(dispatchKeySet, grad_output, indices, num_weights, padding_idx, scale_grad_by_freq);
    }
    
    // aten::embedding_renorm_(Tensor(a!) self, Tensor indices, float max_norm, float norm_type) -> Tensor(a!)
    TORCH_API inline at::Tensor & embedding_renorm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type) {
        return at::_ops::embedding_renorm_::redispatch(dispatchKeySet, self, indices, max_norm, norm_type);
    }
    
    // aten::embedding_sparse_backward(Tensor grad, Tensor indices, int num_weights, int padding_idx, bool scale_grad_by_freq) -> Tensor
    TORCH_API inline at::Tensor embedding_sparse_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) {
        return at::_ops::embedding_sparse_backward::redispatch(dispatchKeySet, grad, indices, num_weights, padding_idx, scale_grad_by_freq);
    }
    
    // aten::_embedding_bag_forward_only(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1) -> (Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _embedding_bag_forward_only(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1) {
        return at::_ops::_embedding_bag_forward_only::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx);
    }
    
    // aten::_rowwise_prune(Tensor weight, Tensor mask, ScalarType compressed_indices_dtype) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _rowwise_prune(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & mask, at::ScalarType compressed_indices_dtype) {
        return at::_ops::_rowwise_prune::redispatch(dispatchKeySet, weight, mask, compressed_indices_dtype);
    }
    
    // aten::row_stack(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor row_stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::row_stack::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::row_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & row_stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) {
        return at::_ops::row_stack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::row_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & row_stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) {
        return at::_ops::row_stack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::embedding_bag(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False) -> (Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> embedding_bag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false) {
        return at::_ops::embedding_bag::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset);
    }
    
    // aten::embedding_bag.padding_idx(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq, int mode, bool sparse, Tensor? per_sample_weights, bool include_last_offset, int? padding_idx) -> (Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> embedding_bag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq, int64_t mode, bool sparse, const c10::optional<at::Tensor> & per_sample_weights, bool include_last_offset, c10::optional<int64_t> padding_idx) {
        return at::_ops::embedding_bag_padding_idx::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx);
    }
    
    // aten::_embedding_bag(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1) -> (Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _embedding_bag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1) {
        return at::_ops::_embedding_bag::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx);
    }
    
    // aten::_embedding_bag_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, int num_weights, bool scale_grad_by_freq, int mode, bool sparse, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor
    TORCH_API inline at::Tensor _embedding_bag_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, bool sparse, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) {
        return at::_ops::_embedding_bag_backward::redispatch(dispatchKeySet, grad, indices, offsets, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, sparse, per_sample_weights, padding_idx);
    }
    
    // aten::_embedding_bag_sparse_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, int num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor
    TORCH_API inline at::Tensor _embedding_bag_sparse_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, const at::Tensor & bag_size, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) {
        return at::_ops::_embedding_bag_sparse_backward::redispatch(dispatchKeySet, grad, indices, offsets, offset2bag, bag_size, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx);
    }
    
    // aten::_embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, int num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor
    TORCH_API inline at::Tensor _embedding_bag_dense_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) {
        return at::_ops::_embedding_bag_dense_backward::redispatch(dispatchKeySet, grad, indices, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx);
    }
    
    // aten::_embedding_bag_per_sample_weights_backward(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, int mode, int padding_idx=-1) -> Tensor
    TORCH_API inline at::Tensor _embedding_bag_per_sample_weights_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, int64_t mode, int64_t padding_idx=-1) {
        return at::_ops::_embedding_bag_per_sample_weights_backward::redispatch(dispatchKeySet, grad, weight, indices, offsets, offset2bag, mode, padding_idx);
    }
    
    // aten::empty.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::empty_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::empty.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::empty_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::empty.memory_format(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::empty_memory_format::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::empty.memory_format(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::empty_memory_format::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::new_empty(Tensor self, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_empty(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::new_empty::redispatch(dispatchKeySet, self, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::new_empty(Tensor self, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_empty(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::new_empty::redispatch(dispatchKeySet, self, size, dtype, layout, device, pin_memory);
    }
    
    // aten::new_empty_strided(Tensor self, int[] size, int[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_empty_strided(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) {
        return at::_ops::new_empty_strided::redispatch(dispatchKeySet, self, size, stride, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::new_empty_strided(Tensor self, int[] size, int[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_empty_strided(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::new_empty_strided::redispatch(dispatchKeySet, self, size, stride, dtype, layout, device, pin_memory);
    }
    
    // aten::new_full(Tensor self, int[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_full(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) {
        return at::_ops::new_full::redispatch(dispatchKeySet, self, size, fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::new_full(Tensor self, int[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_full(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::new_full::redispatch(dispatchKeySet, self, size, fill_value, dtype, layout, device, pin_memory);
    }
    
    // aten::new_zeros(Tensor self, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_zeros(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::new_zeros::redispatch(dispatchKeySet, self, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::new_zeros(Tensor self, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_zeros(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::new_zeros::redispatch(dispatchKeySet, self, size, dtype, layout, device, pin_memory);
    }
    
    // aten::new_ones(Tensor self, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_ones(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::new_ones::redispatch(dispatchKeySet, self, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::new_ones(Tensor self, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor new_ones(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::new_ones::redispatch(dispatchKeySet, self, size, dtype, layout, device, pin_memory);
    }
    
    // aten::_empty_affine_quantized(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor
    TORCH_API inline at::Tensor _empty_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}, double scale=1, int64_t zero_point=0, c10::optional<at::MemoryFormat> memory_format=MemoryFormat::Contiguous) {
        return at::_ops::_empty_affine_quantized::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), scale, zero_point, c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::_empty_affine_quantized(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor
    TORCH_API inline at::Tensor _empty_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, double scale, int64_t zero_point, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::_empty_affine_quantized::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory, scale, zero_point, memory_format);
    }
    
    // aten::_empty_per_channel_affine_quantized(int[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor
    TORCH_API inline at::Tensor _empty_per_channel_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=MemoryFormat::Contiguous) {
        return at::_ops::_empty_per_channel_affine_quantized::redispatch(dispatchKeySet, size, scales, zero_points, axis, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::_empty_per_channel_affine_quantized(int[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor
    TORCH_API inline at::Tensor _empty_per_channel_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::_empty_per_channel_affine_quantized::redispatch(dispatchKeySet, size, scales, zero_points, axis, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::resize_(Tensor(a!) self, int[] size, *, MemoryFormat? memory_format=None) -> Tensor(a!)
    TORCH_API inline const at::Tensor & resize_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::resize_::redispatch(dispatchKeySet, self, size, memory_format);
    }
    
    // aten::empty_quantized(int[] size, Tensor qtensor, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & qtensor, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::empty_quantized::redispatch(dispatchKeySet, size, qtensor, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::empty_quantized(int[] size, Tensor qtensor, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & qtensor, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::empty_quantized::redispatch(dispatchKeySet, size, qtensor, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::empty.out(int[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & empty_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::empty_out::redispatch(dispatchKeySet, size, memory_format, out);
    }
    
    // aten::empty.out(int[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & empty_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) {
        return at::_ops::empty_out::redispatch(dispatchKeySet, size, memory_format, out);
    }
    
    // aten::empty_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::empty_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::empty_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor empty_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::empty_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::empty_strided(int[] size, int[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor empty_strided(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) {
        return at::_ops::empty_strided::redispatch(dispatchKeySet, size, stride, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::empty_strided(int[] size, int[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor empty_strided(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::empty_strided::redispatch(dispatchKeySet, size, stride, dtype, layout, device, pin_memory);
    }
    
    // aten::erf(Tensor self) -> Tensor
    TORCH_API inline at::Tensor erf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::erf::redispatch(dispatchKeySet, self);
    }
    
    // aten::erf_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & erf_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::erf_::redispatch(dispatchKeySet, self);
    }
    
    // aten::erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & erf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::erf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & erf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::erf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::erfc(Tensor self) -> Tensor
    TORCH_API inline at::Tensor erfc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::erfc::redispatch(dispatchKeySet, self);
    }
    
    // aten::erfc_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & erfc_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::erfc_::redispatch(dispatchKeySet, self);
    }
    
    // aten::erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & erfc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::erfc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & erfc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::erfc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::exp(Tensor self) -> Tensor
    TORCH_API inline at::Tensor exp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::exp::redispatch(dispatchKeySet, self);
    }
    
    // aten::exp_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & exp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::exp_::redispatch(dispatchKeySet, self);
    }
    
    // aten::exp.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & exp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::exp_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::exp.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & exp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::exp_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::exp2(Tensor self) -> Tensor
    TORCH_API inline at::Tensor exp2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::exp2::redispatch(dispatchKeySet, self);
    }
    
    // aten::exp2_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & exp2_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::exp2_::redispatch(dispatchKeySet, self);
    }
    
    // aten::exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & exp2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::exp2_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & exp2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::exp2_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::expm1(Tensor self) -> Tensor
    TORCH_API inline at::Tensor expm1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::expm1::redispatch(dispatchKeySet, self);
    }
    
    // aten::expm1_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & expm1_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::expm1_::redispatch(dispatchKeySet, self);
    }
    
    // aten::expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & expm1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::expm1_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & expm1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::expm1_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::expand(Tensor(a) self, int[] size, *, bool implicit=False) -> Tensor(a)
    TORCH_API inline at::Tensor expand(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, bool implicit=false) {
        return at::_ops::expand::redispatch(dispatchKeySet, self, size, implicit);
    }
    
    // aten::expand_as(Tensor(a) self, Tensor other) -> Tensor(a)
    TORCH_API inline at::Tensor expand_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::expand_as::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::eye(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, at::TensorOptions options={}) {
        return at::_ops::eye::redispatch(dispatchKeySet, n, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::eye(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::eye::redispatch(dispatchKeySet, n, dtype, layout, device, pin_memory);
    }
    
    // aten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, int64_t m, at::TensorOptions options={}) {
        return at::_ops::eye_m::redispatch(dispatchKeySet, n, m, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, int64_t m, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::eye_m::redispatch(dispatchKeySet, n, m, dtype, layout, device, pin_memory);
    }
    
    // aten::eye.out(int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eye_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n) {
        return at::_ops::eye_out::redispatch(dispatchKeySet, n, out);
    }
    
    // aten::eye.out(int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eye_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, at::Tensor & out) {
        return at::_ops::eye_out::redispatch(dispatchKeySet, n, out);
    }
    
    // aten::eye.m_out(int n, int m, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eye_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, int64_t m) {
        return at::_ops::eye_m_out::redispatch(dispatchKeySet, n, m, out);
    }
    
    // aten::eye.m_out(int n, int m, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eye_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, int64_t m, at::Tensor & out) {
        return at::_ops::eye_m_out::redispatch(dispatchKeySet, n, m, out);
    }
    
    // aten::flatten.using_ints(Tensor(a) self, int start_dim=0, int end_dim=-1) -> Tensor(a)
    TORCH_API inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t start_dim=0, int64_t end_dim=-1) {
        return at::_ops::flatten_using_ints::redispatch(dispatchKeySet, self, start_dim, end_dim);
    }
    
    // aten::flatten.named_out_dim(Tensor(a) self, int start_dim, int end_dim, Dimname out_dim) -> Tensor(a)
    TORCH_API inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t start_dim, int64_t end_dim, at::Dimname out_dim) {
        return at::_ops::flatten_named_out_dim::redispatch(dispatchKeySet, self, start_dim, end_dim, out_dim);
    }
    
    // aten::flatten.using_names(Tensor(a) self, Dimname start_dim, Dimname end_dim, Dimname out_dim) -> Tensor(a)
    TORCH_API inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim) {
        return at::_ops::flatten_using_names::redispatch(dispatchKeySet, self, start_dim, end_dim, out_dim);
    }
    
    // aten::flatten.DimnameList(Tensor(a) self, Dimname[] dims, Dimname out_dim) -> Tensor(a)
    TORCH_API inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dims, at::Dimname out_dim) {
        return at::_ops::flatten_DimnameList::redispatch(dispatchKeySet, self, dims, out_dim);
    }
    
    // aten::unflatten.int(Tensor(a) self, int dim, int[] sizes, Dimname[]? names=None) -> Tensor(a)
    TORCH_API inline at::Tensor unflatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::IntArrayRef sizes, c10::optional<at::DimnameList> names=c10::nullopt) {
        return at::_ops::unflatten_int::redispatch(dispatchKeySet, self, dim, sizes, names);
    }
    
    // aten::unflatten.Dimname(Tensor(a) self, Dimname dim, int[] sizes, Dimname[] names) -> Tensor(a)
    TORCH_API inline at::Tensor unflatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names) {
        return at::_ops::unflatten_Dimname::redispatch(dispatchKeySet, self, dim, sizes, names);
    }
    
    // aten::fill_.Scalar(Tensor(a!) self, Scalar value) -> Tensor(a!)
    TORCH_API inline at::Tensor & fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & value) {
        return at::_ops::fill__Scalar::redispatch(dispatchKeySet, self, value);
    }
    
    // aten::fill_.Tensor(Tensor(a!) self, Tensor value) -> Tensor(a!)
    TORCH_API inline at::Tensor & fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & value) {
        return at::_ops::fill__Tensor::redispatch(dispatchKeySet, self, value);
    }
    
    // aten::floor(Tensor self) -> Tensor
    TORCH_API inline at::Tensor floor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::floor::redispatch(dispatchKeySet, self);
    }
    
    // aten::floor_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & floor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::floor_::redispatch(dispatchKeySet, self);
    }
    
    // aten::floor.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & floor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::floor_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::floor.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & floor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::floor_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::floor_divide(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor floor_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::floor_divide::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::floor_divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & floor_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::floor_divide__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::floor_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & floor_divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::floor_divide_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::floor_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & floor_divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::floor_divide_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::floor_divide.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor floor_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::floor_divide_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::floor_divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & floor_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::floor_divide__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::frac(Tensor self) -> Tensor
    TORCH_API inline at::Tensor frac(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::frac::redispatch(dispatchKeySet, self);
    }
    
    // aten::frac_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & frac_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::frac_::redispatch(dispatchKeySet, self);
    }
    
    // aten::frac.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & frac_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::frac_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::frac.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & frac_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::frac_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::full.names(int[] size, Scalar fill_value, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
        return at::_ops::full_names::redispatch(dispatchKeySet, size, fill_value, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::full.names(int[] size, Scalar fill_value, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::full_names::redispatch(dispatchKeySet, size, fill_value, names, dtype, layout, device, pin_memory);
    }
    
    // aten::full(int[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) {
        return at::_ops::full::redispatch(dispatchKeySet, size, fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::full(int[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::full::redispatch(dispatchKeySet, size, fill_value, dtype, layout, device, pin_memory);
    }
    
    // aten::full.out(int[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & full_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, const at::Scalar & fill_value) {
        return at::_ops::full_out::redispatch(dispatchKeySet, size, fill_value, out);
    }
    
    // aten::full.out(int[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & full_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) {
        return at::_ops::full_out::redispatch(dispatchKeySet, size, fill_value, out);
    }
    
    // aten::full_like(Tensor self, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor full_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & fill_value, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::full_like::redispatch(dispatchKeySet, self, fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::full_like(Tensor self, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor full_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::full_like::redispatch(dispatchKeySet, self, fill_value, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::from_file(str filename, bool? shared=None, int? size=0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor from_file(c10::DispatchKeySet dispatchKeySet, c10::string_view filename, c10::optional<bool> shared=c10::nullopt, c10::optional<int64_t> size=0, at::TensorOptions options={}) {
        return at::_ops::from_file::redispatch(dispatchKeySet, filename, shared, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::from_file(str filename, bool? shared=None, int? size=0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor from_file(c10::DispatchKeySet dispatchKeySet, c10::string_view filename, c10::optional<bool> shared, c10::optional<int64_t> size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::from_file::redispatch(dispatchKeySet, filename, shared, size, dtype, layout, device, pin_memory);
    }
    
    // aten::gcd.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gcd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::gcd_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::gcd.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gcd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::gcd_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::gcd(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor gcd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::gcd::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::gcd_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & gcd_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::gcd_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::lcm.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lcm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::lcm_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::lcm.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lcm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::lcm_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::lcm(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor lcm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::lcm::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::lcm_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & lcm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::lcm_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::grid_sampler(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor
    TORCH_API inline at::Tensor grid_sampler(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) {
        return at::_ops::grid_sampler::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners);
    }
    
    // aten::grid_sampler_2d(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor
    TORCH_API inline at::Tensor grid_sampler_2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) {
        return at::_ops::grid_sampler_2d::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners);
    }
    
    // aten::grid_sampler_2d_backward(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> grid_sampler_2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) {
        return at::_ops::grid_sampler_2d_backward::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners);
    }
    
    // aten::_grid_sampler_2d_cpu_fallback(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor
    TORCH_API inline at::Tensor _grid_sampler_2d_cpu_fallback(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) {
        return at::_ops::_grid_sampler_2d_cpu_fallback::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners);
    }
    
    // aten::_grid_sampler_2d_cpu_fallback_backward(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _grid_sampler_2d_cpu_fallback_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) {
        return at::_ops::_grid_sampler_2d_cpu_fallback_backward::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners);
    }
    
    // aten::grid_sampler_3d(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor
    TORCH_API inline at::Tensor grid_sampler_3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) {
        return at::_ops::grid_sampler_3d::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners);
    }
    
    // aten::grid_sampler_3d_backward(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> grid_sampler_3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) {
        return at::_ops::grid_sampler_3d_backward::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners);
    }
    
    // aten::hann_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) {
        return at::_ops::hann_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::hann_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::hann_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory);
    }
    
    // aten::hann_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) {
        return at::_ops::hann_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::hann_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::hann_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory);
    }
    
    // aten::hamming_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) {
        return at::_ops::hamming_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::hamming_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::hamming_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory);
    }
    
    // aten::hamming_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) {
        return at::_ops::hamming_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::hamming_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::hamming_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory);
    }
    
    // aten::hamming_window.periodic_alpha(int window_length, bool periodic, float alpha, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, at::TensorOptions options={}) {
        return at::_ops::hamming_window_periodic_alpha::redispatch(dispatchKeySet, window_length, periodic, alpha, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::hamming_window.periodic_alpha(int window_length, bool periodic, float alpha, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::hamming_window_periodic_alpha::redispatch(dispatchKeySet, window_length, periodic, alpha, dtype, layout, device, pin_memory);
    }
    
    // aten::hamming_window.periodic_alpha_beta(int window_length, bool periodic, float alpha, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, double beta, at::TensorOptions options={}) {
        return at::_ops::hamming_window_periodic_alpha_beta::redispatch(dispatchKeySet, window_length, periodic, alpha, beta, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::hamming_window.periodic_alpha_beta(int window_length, bool periodic, float alpha, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, double beta, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::hamming_window_periodic_alpha_beta::redispatch(dispatchKeySet, window_length, periodic, alpha, beta, dtype, layout, device, pin_memory);
    }
    
    // aten::kaiser_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) {
        return at::_ops::kaiser_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::kaiser_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::kaiser_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory);
    }
    
    // aten::kaiser_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) {
        return at::_ops::kaiser_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::kaiser_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::kaiser_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory);
    }
    
    // aten::kaiser_window.beta(int window_length, bool periodic, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double beta, at::TensorOptions options={}) {
        return at::_ops::kaiser_window_beta::redispatch(dispatchKeySet, window_length, periodic, beta, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::kaiser_window.beta(int window_length, bool periodic, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double beta, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::kaiser_window_beta::redispatch(dispatchKeySet, window_length, periodic, beta, dtype, layout, device, pin_memory);
    }
    
    // aten::hinge_embedding_loss(Tensor self, Tensor target, float margin=1.0, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor hinge_embedding_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, double margin=1.0, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::hinge_embedding_loss::redispatch(dispatchKeySet, self, target, margin, reduction);
    }
    
    // aten::group_norm(Tensor input, int num_groups, Tensor? weight=None, Tensor? bias=None, float eps=1e-05, bool cudnn_enabled=True) -> Tensor
    TORCH_API inline at::Tensor group_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, int64_t num_groups, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & bias={}, double eps=1e-05, bool cudnn_enabled=true) {
        return at::_ops::group_norm::redispatch(dispatchKeySet, input, num_groups, weight, bias, eps, cudnn_enabled);
    }
    
    // aten::native_group_norm(Tensor input, Tensor? weight, Tensor? bias, int N, int C, int HxW, int group, float eps) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_group_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, int64_t N, int64_t C, int64_t HxW, int64_t group, double eps) {
        return at::_ops::native_group_norm::redispatch(dispatchKeySet, input, weight, bias, N, C, HxW, group, eps);
    }
    
    // aten::native_group_norm_backward(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, Tensor? weight, int N, int C, int HxW, int group, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_group_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, int64_t N, int64_t C, int64_t HxW, int64_t group, ::std::array<bool,3> output_mask) {
        return at::_ops::native_group_norm_backward::redispatch(dispatchKeySet, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask);
    }
    
    // aten::_fft_r2c(Tensor self, int[] dim, int normalization, bool onesided) -> Tensor
    TORCH_API inline at::Tensor _fft_r2c(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool onesided) {
        return at::_ops::_fft_r2c::redispatch(dispatchKeySet, self, dim, normalization, onesided);
    }
    
    // aten::_fft_r2c.out(Tensor self, int[] dim, int normalization, bool onesided, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _fft_r2c_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool onesided) {
        return at::_ops::_fft_r2c_out::redispatch(dispatchKeySet, self, dim, normalization, onesided, out);
    }
    
    // aten::_fft_r2c.out(Tensor self, int[] dim, int normalization, bool onesided, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _fft_r2c_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool onesided, at::Tensor & out) {
        return at::_ops::_fft_r2c_out::redispatch(dispatchKeySet, self, dim, normalization, onesided, out);
    }
    
    // aten::_fft_c2r(Tensor self, int[] dim, int normalization, int last_dim_size) -> Tensor
    TORCH_API inline at::Tensor _fft_c2r(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, int64_t last_dim_size) {
        return at::_ops::_fft_c2r::redispatch(dispatchKeySet, self, dim, normalization, last_dim_size);
    }
    
    // aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, int last_dim_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _fft_c2r_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, int64_t last_dim_size) {
        return at::_ops::_fft_c2r_out::redispatch(dispatchKeySet, self, dim, normalization, last_dim_size, out);
    }
    
    // aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, int last_dim_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _fft_c2r_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, int64_t last_dim_size, at::Tensor & out) {
        return at::_ops::_fft_c2r_out::redispatch(dispatchKeySet, self, dim, normalization, last_dim_size, out);
    }
    
    // aten::_fft_c2c(Tensor self, int[] dim, int normalization, bool forward) -> Tensor
    TORCH_API inline at::Tensor _fft_c2c(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward) {
        return at::_ops::_fft_c2c::redispatch(dispatchKeySet, self, dim, normalization, forward);
    }
    
    // aten::_fft_c2c.out(Tensor self, int[] dim, int normalization, bool forward, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _fft_c2c_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward) {
        return at::_ops::_fft_c2c_out::redispatch(dispatchKeySet, self, dim, normalization, forward, out);
    }
    
    // aten::_fft_c2c.out(Tensor self, int[] dim, int normalization, bool forward, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _fft_c2c_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward, at::Tensor & out) {
        return at::_ops::_fft_c2c_out::redispatch(dispatchKeySet, self, dim, normalization, forward, out);
    }
    
    // aten::_cufft_get_plan_cache_size(int device_index) -> int
    TORCH_API inline int64_t _cufft_get_plan_cache_size(c10::DispatchKeySet dispatchKeySet, int64_t device_index) {
        return at::_ops::_cufft_get_plan_cache_size::redispatch(dispatchKeySet, device_index);
    }
    
    // aten::_cufft_get_plan_cache_max_size(int device_index) -> int
    TORCH_API inline int64_t _cufft_get_plan_cache_max_size(c10::DispatchKeySet dispatchKeySet, int64_t device_index) {
        return at::_ops::_cufft_get_plan_cache_max_size::redispatch(dispatchKeySet, device_index);
    }
    
    // aten::_cufft_set_plan_cache_max_size(int device_index, int max_size) -> ()
    TORCH_API inline void _cufft_set_plan_cache_max_size(c10::DispatchKeySet dispatchKeySet, int64_t device_index, int64_t max_size) {
        return at::_ops::_cufft_set_plan_cache_max_size::redispatch(dispatchKeySet, device_index, max_size);
    }
    
    // aten::_cufft_clear_plan_cache(int device_index) -> ()
    TORCH_API inline void _cufft_clear_plan_cache(c10::DispatchKeySet dispatchKeySet, int64_t device_index) {
        return at::_ops::_cufft_clear_plan_cache::redispatch(dispatchKeySet, device_index);
    }
    
    // aten::index.Tensor(Tensor self, Tensor?[] indices) -> Tensor
    TORCH_API inline at::Tensor index(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices) {
        return at::_ops::index_Tensor::redispatch(dispatchKeySet, self, indices);
    }
    
    // aten::index_copy_(Tensor(a!) self, int dim, Tensor index, Tensor source) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_copy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) {
        return at::_ops::index_copy_::redispatch(dispatchKeySet, self, dim, index, source);
    }
    
    // aten::index_copy(Tensor self, int dim, Tensor index, Tensor source) -> Tensor
    TORCH_API inline at::Tensor index_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) {
        return at::_ops::index_copy::redispatch(dispatchKeySet, self, dim, index, source);
    }
    
    // aten::index_copy_.dimname(Tensor(a!) self, Dimname dim, Tensor index, Tensor source) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_copy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) {
        return at::_ops::index_copy__dimname::redispatch(dispatchKeySet, self, dim, index, source);
    }
    
    // aten::index_copy.dimname(Tensor self, Dimname dim, Tensor index, Tensor source) -> Tensor
    TORCH_API inline at::Tensor index_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) {
        return at::_ops::index_copy_dimname::redispatch(dispatchKeySet, self, dim, index, source);
    }
    
    // aten::index_put_(Tensor(a!) self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_put_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false) {
        return at::_ops::index_put_::redispatch(dispatchKeySet, self, indices, values, accumulate);
    }
    
    // aten::index_put(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor
    TORCH_API inline at::Tensor index_put(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false) {
        return at::_ops::index_put::redispatch(dispatchKeySet, self, indices, values, accumulate);
    }
    
    // aten::_index_put_impl_(Tensor(a!) self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False) -> Tensor(a!)
    TORCH_API inline at::Tensor & _index_put_impl_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false) {
        return at::_ops::_index_put_impl_::redispatch(dispatchKeySet, self, indices, values, accumulate, unsafe);
    }
    
    // aten::instance_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool use_input_stats, float momentum, float eps, bool cudnn_enabled) -> Tensor
    TORCH_API inline at::Tensor instance_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool use_input_stats, double momentum, double eps, bool cudnn_enabled) {
        return at::_ops::instance_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, cudnn_enabled);
    }
    
    // aten::inverse(Tensor self) -> Tensor
    TORCH_API inline at::Tensor inverse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::inverse::redispatch(dispatchKeySet, self);
    }
    
    // aten::inverse.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & inverse_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::inverse_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::inverse.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & inverse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::inverse_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::_inverse_helper(Tensor self) -> Tensor
    TORCH_API inline at::Tensor _inverse_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_inverse_helper::redispatch(dispatchKeySet, self);
    }
    
    // aten::isclose(Tensor self, Tensor other, float rtol=1e-05, float atol=1e-08, bool equal_nan=False) -> Tensor
    TORCH_API inline at::Tensor isclose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) {
        return at::_ops::isclose::redispatch(dispatchKeySet, self, other, rtol, atol, equal_nan);
    }
    
    // aten::isin.Tensor_Tensor_out(Tensor elements, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) {
        return at::_ops::isin_Tensor_Tensor_out::redispatch(dispatchKeySet, elements, test_elements, assume_unique, invert, out);
    }
    
    // aten::isin.Tensor_Tensor_out(Tensor elements, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out) {
        return at::_ops::isin_Tensor_Tensor_out::redispatch(dispatchKeySet, elements, test_elements, assume_unique, invert, out);
    }
    
    // aten::isin.Tensor_Tensor(Tensor elements, Tensor test_elements, *, bool assume_unique=False, bool invert=False) -> Tensor
    TORCH_API inline at::Tensor isin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) {
        return at::_ops::isin_Tensor_Tensor::redispatch(dispatchKeySet, elements, test_elements, assume_unique, invert);
    }
    
    // aten::isin.Tensor_Scalar_out(Tensor elements, Scalar test_element, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false) {
        return at::_ops::isin_Tensor_Scalar_out::redispatch(dispatchKeySet, elements, test_element, assume_unique, invert, out);
    }
    
    // aten::isin.Tensor_Scalar_out(Tensor elements, Scalar test_element, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique, bool invert, at::Tensor & out) {
        return at::_ops::isin_Tensor_Scalar_out::redispatch(dispatchKeySet, elements, test_element, assume_unique, invert, out);
    }
    
    // aten::isin.Tensor_Scalar(Tensor elements, Scalar test_element, *, bool assume_unique=False, bool invert=False) -> Tensor
    TORCH_API inline at::Tensor isin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false) {
        return at::_ops::isin_Tensor_Scalar::redispatch(dispatchKeySet, elements, test_element, assume_unique, invert);
    }
    
    // aten::isin.Scalar_Tensor_out(Scalar element, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) {
        return at::_ops::isin_Scalar_Tensor_out::redispatch(dispatchKeySet, element, test_elements, assume_unique, invert, out);
    }
    
    // aten::isin.Scalar_Tensor_out(Scalar element, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isin_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out) {
        return at::_ops::isin_Scalar_Tensor_out::redispatch(dispatchKeySet, element, test_elements, assume_unique, invert, out);
    }
    
    // aten::isin.Scalar_Tensor(Scalar element, Tensor test_elements, *, bool assume_unique=False, bool invert=False) -> Tensor
    TORCH_API inline at::Tensor isin(c10::DispatchKeySet dispatchKeySet, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) {
        return at::_ops::isin_Scalar_Tensor::redispatch(dispatchKeySet, element, test_elements, assume_unique, invert);
    }
    
    // aten::isnan(Tensor self) -> Tensor
    TORCH_API inline at::Tensor isnan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::isnan::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_distributed(Tensor self) -> bool
    TORCH_API inline bool is_distributed(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_distributed::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_floating_point(Tensor self) -> bool
    TORCH_API inline bool __dispatch_is_floating_point(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_floating_point::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_complex(Tensor self) -> bool
    TORCH_API inline bool __dispatch_is_complex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_complex::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_conj(Tensor self) -> bool
    TORCH_API inline bool __dispatch_is_conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_conj::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_neg(Tensor self) -> bool
    TORCH_API inline bool __dispatch_is_neg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_neg::redispatch(dispatchKeySet, self);
    }
    
    // aten::isreal(Tensor self) -> Tensor
    TORCH_API inline at::Tensor isreal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::isreal::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_nonzero(Tensor self) -> bool
    TORCH_API inline bool is_nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_nonzero::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_same_size(Tensor self, Tensor other) -> bool
    TORCH_API inline bool is_same_size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::is_same_size::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::is_signed(Tensor self) -> bool
    TORCH_API inline bool __dispatch_is_signed(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_signed::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_inference(Tensor self) -> bool
    TORCH_API inline bool __dispatch_is_inference(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_inference::redispatch(dispatchKeySet, self);
    }
    
    // aten::kl_div(Tensor self, Tensor target, int reduction=Mean, *, bool log_target=False) -> Tensor
    TORCH_API inline at::Tensor kl_div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, bool log_target=false) {
        return at::_ops::kl_div::redispatch(dispatchKeySet, self, target, reduction, log_target);
    }
    
    // aten::kl_div_backward(Tensor grad_output, Tensor self, Tensor target, int reduction=Mean, *, bool log_target=False) -> Tensor
    TORCH_API inline at::Tensor kl_div_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, bool log_target=false) {
        return at::_ops::kl_div_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction, log_target);
    }
    
    // aten::kron(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor kron(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::kron::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::kron.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & kron_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::kron_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::kron.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & kron_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::kron_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::kthvalue(Tensor self, int k, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> kthvalue(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim=-1, bool keepdim=false) {
        return at::_ops::kthvalue::redispatch(dispatchKeySet, self, k, dim, keepdim);
    }
    
    // aten::kthvalue.values(Tensor self, int k, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool keepdim=false) {
        return at::_ops::kthvalue_values::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices);
    }
    
    // aten::kthvalue.values(Tensor self, int k, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::kthvalue_values::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices);
    }
    
    // aten::kthvalue.dimname(Tensor self, int k, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> kthvalue(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim=false) {
        return at::_ops::kthvalue_dimname::redispatch(dispatchKeySet, self, k, dim, keepdim);
    }
    
    // aten::kthvalue.dimname_out(Tensor self, int k, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim=false) {
        return at::_ops::kthvalue_dimname_out::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices);
    }
    
    // aten::kthvalue.dimname_out(Tensor self, int k, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::kthvalue_dimname_out::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices);
    }
    
    // aten::layer_norm(Tensor input, int[] normalized_shape, Tensor? weight=None, Tensor? bias=None, float eps=1e-05, bool cudnn_enable=True) -> Tensor
    TORCH_API inline at::Tensor layer_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::IntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & bias={}, double eps=1e-05, bool cudnn_enable=true) {
        return at::_ops::layer_norm::redispatch(dispatchKeySet, input, normalized_shape, weight, bias, eps, cudnn_enable);
    }
    
    // aten::native_layer_norm(Tensor input, int[] normalized_shape, Tensor? weight, Tensor? bias, float eps) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_layer_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::IntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps) {
        return at::_ops::native_layer_norm::redispatch(dispatchKeySet, input, normalized_shape, weight, bias, eps);
    }
    
    // aten::native_layer_norm_backward(Tensor grad_out, Tensor input, int[] normalized_shape, Tensor mean, Tensor rstd, Tensor? weight, Tensor? bias, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_layer_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, at::IntArrayRef normalized_shape, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, ::std::array<bool,3> output_mask) {
        return at::_ops::native_layer_norm_backward::redispatch(dispatchKeySet, grad_out, input, normalized_shape, mean, rstd, weight, bias, output_mask);
    }
    
    // aten::nan_to_num(Tensor self, float? nan=None, float? posinf=None, float? neginf=None) -> Tensor
    TORCH_API inline at::Tensor nan_to_num(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) {
        return at::_ops::nan_to_num::redispatch(dispatchKeySet, self, nan, posinf, neginf);
    }
    
    // aten::nan_to_num_(Tensor(a!) self, float? nan=None, float? posinf=None, float? neginf=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & nan_to_num_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) {
        return at::_ops::nan_to_num_::redispatch(dispatchKeySet, self, nan, posinf, neginf);
    }
    
    // aten::nan_to_num.out(Tensor self, float? nan=None, float? posinf=None, float? neginf=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nan_to_num_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) {
        return at::_ops::nan_to_num_out::redispatch(dispatchKeySet, self, nan, posinf, neginf, out);
    }
    
    // aten::nan_to_num.out(Tensor self, float? nan=None, float? posinf=None, float? neginf=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nan_to_num_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> nan, c10::optional<double> posinf, c10::optional<double> neginf, at::Tensor & out) {
        return at::_ops::nan_to_num_out::redispatch(dispatchKeySet, self, nan, posinf, neginf, out);
    }
    
    // aten::linear(Tensor input, Tensor weight, Tensor? bias=None) -> Tensor
    TORCH_API inline at::Tensor linear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) {
        return at::_ops::linear::redispatch(dispatchKeySet, input, weight, bias);
    }
    
    // aten::linear.out(Tensor input, Tensor weight, Tensor? bias=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linear_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) {
        return at::_ops::linear_out::redispatch(dispatchKeySet, input, weight, bias, out);
    }
    
    // aten::linear.out(Tensor input, Tensor weight, Tensor? bias=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linear_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::Tensor & out) {
        return at::_ops::linear_out::redispatch(dispatchKeySet, input, weight, bias, out);
    }
    
    // aten::mkldnn_linear(Tensor self, Tensor weight, Tensor? bias=None) -> Tensor
    TORCH_API inline at::Tensor mkldnn_linear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) {
        return at::_ops::mkldnn_linear::redispatch(dispatchKeySet, self, weight, bias);
    }
    
    // aten::mkldnn_linear_backward_input(int[] input_size, Tensor grad_output, Tensor weight) -> Tensor
    TORCH_API inline at::Tensor mkldnn_linear_backward_input(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef input_size, const at::Tensor & grad_output, const at::Tensor & weight) {
        return at::_ops::mkldnn_linear_backward_input::redispatch(dispatchKeySet, input_size, grad_output, weight);
    }
    
    // aten::mkldnn_linear_backward_weights(Tensor grad_output, Tensor input, Tensor weight, bool bias_defined) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> mkldnn_linear_backward_weights(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined) {
        return at::_ops::mkldnn_linear_backward_weights::redispatch(dispatchKeySet, grad_output, input, weight, bias_defined);
    }
    
    // aten::mkldnn_linear_backward(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> mkldnn_linear_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask) {
        return at::_ops::mkldnn_linear_backward::redispatch(dispatchKeySet, self, grad_output, weight, output_mask);
    }
    
    // aten::fbgemm_linear_int8_weight_fp32_activation(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias) -> Tensor
    TORCH_API inline at::Tensor fbgemm_linear_int8_weight_fp32_activation(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & packed, const at::Tensor & col_offsets, const at::Scalar & weight_scale, const at::Scalar & weight_zero_point, const at::Tensor & bias) {
        return at::_ops::fbgemm_linear_int8_weight_fp32_activation::redispatch(dispatchKeySet, input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias);
    }
    
    // aten::fbgemm_linear_int8_weight(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias) -> Tensor
    TORCH_API inline at::Tensor fbgemm_linear_int8_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & packed, const at::Tensor & col_offsets, const at::Scalar & weight_scale, const at::Scalar & weight_zero_point, const at::Tensor & bias) {
        return at::_ops::fbgemm_linear_int8_weight::redispatch(dispatchKeySet, input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias);
    }
    
    // aten::fbgemm_linear_quantize_weight(Tensor input) -> (Tensor, Tensor, float, int)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,double,int64_t> fbgemm_linear_quantize_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input) {
        return at::_ops::fbgemm_linear_quantize_weight::redispatch(dispatchKeySet, input);
    }
    
    // aten::fbgemm_pack_gemm_matrix_fp16(Tensor input) -> Tensor
    TORCH_API inline at::Tensor fbgemm_pack_gemm_matrix_fp16(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input) {
        return at::_ops::fbgemm_pack_gemm_matrix_fp16::redispatch(dispatchKeySet, input);
    }
    
    // aten::fbgemm_linear_fp16_weight_fp32_activation(Tensor input, Tensor packed_weight, Tensor bias) -> Tensor
    TORCH_API inline at::Tensor fbgemm_linear_fp16_weight_fp32_activation(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) {
        return at::_ops::fbgemm_linear_fp16_weight_fp32_activation::redispatch(dispatchKeySet, input, packed_weight, bias);
    }
    
    // aten::fbgemm_linear_fp16_weight(Tensor input, Tensor packed_weight, Tensor bias) -> Tensor
    TORCH_API inline at::Tensor fbgemm_linear_fp16_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) {
        return at::_ops::fbgemm_linear_fp16_weight::redispatch(dispatchKeySet, input, packed_weight, bias);
    }
    
    // aten::fbgemm_pack_quantized_matrix(Tensor input) -> Tensor
    TORCH_API inline at::Tensor fbgemm_pack_quantized_matrix(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input) {
        return at::_ops::fbgemm_pack_quantized_matrix::redispatch(dispatchKeySet, input);
    }
    
    // aten::fbgemm_pack_quantized_matrix.KN(Tensor input, int K, int N) -> Tensor
    TORCH_API inline at::Tensor fbgemm_pack_quantized_matrix(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, int64_t K, int64_t N) {
        return at::_ops::fbgemm_pack_quantized_matrix_KN::redispatch(dispatchKeySet, input, K, N);
    }
    
    // aten::ldexp.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor ldexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ldexp_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ldexp_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & ldexp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ldexp_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ldexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ldexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ldexp_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ldexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ldexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::ldexp_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::linspace(Scalar start, Scalar end, int? steps=None, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor linspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps=c10::nullopt, at::TensorOptions options={}) {
        return at::_ops::linspace::redispatch(dispatchKeySet, start, end, steps, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::linspace(Scalar start, Scalar end, int? steps=None, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor linspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::linspace::redispatch(dispatchKeySet, start, end, steps, dtype, layout, device, pin_memory);
    }
    
    // aten::linspace.out(Scalar start, Scalar end, int? steps=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linspace_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps=c10::nullopt) {
        return at::_ops::linspace_out::redispatch(dispatchKeySet, start, end, steps, out);
    }
    
    // aten::linspace.out(Scalar start, Scalar end, int? steps=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linspace_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps, at::Tensor & out) {
        return at::_ops::linspace_out::redispatch(dispatchKeySet, start, end, steps, out);
    }
    
    // aten::log(Tensor self) -> Tensor
    TORCH_API inline at::Tensor log(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::log::redispatch(dispatchKeySet, self);
    }
    
    // aten::log_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::log_::redispatch(dispatchKeySet, self);
    }
    
    // aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::log_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::log_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log10(Tensor self) -> Tensor
    TORCH_API inline at::Tensor log10(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::log10::redispatch(dispatchKeySet, self);
    }
    
    // aten::log10_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & log10_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::log10_::redispatch(dispatchKeySet, self);
    }
    
    // aten::log10.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log10_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::log10_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log10.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log10_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::log10_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log1p(Tensor self) -> Tensor
    TORCH_API inline at::Tensor log1p(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::log1p::redispatch(dispatchKeySet, self);
    }
    
    // aten::log1p_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & log1p_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::log1p_::redispatch(dispatchKeySet, self);
    }
    
    // aten::log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log1p_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::log1p_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log1p_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::log1p_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log2(Tensor self) -> Tensor
    TORCH_API inline at::Tensor log2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::log2::redispatch(dispatchKeySet, self);
    }
    
    // aten::log2_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & log2_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::log2_::redispatch(dispatchKeySet, self);
    }
    
    // aten::log2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::log2_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::log2_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::logaddexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logaddexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logaddexp_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logaddexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logaddexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::logaddexp_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logaddexp(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor logaddexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logaddexp::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::logaddexp2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logaddexp2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logaddexp2_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logaddexp2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logaddexp2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::logaddexp2_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logaddexp2(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor logaddexp2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::logaddexp2::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::xlogy.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::xlogy_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::xlogy.Scalar_Self(Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor xlogy(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::xlogy_Scalar_Self::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::xlogy.Scalar_Other(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::xlogy_Scalar_Other::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::xlogy_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::xlogy__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::xlogy_.Scalar_Other(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::xlogy__Scalar_Other::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::xlogy.OutTensor(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::xlogy_OutTensor::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::xlogy.OutTensor(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::xlogy_OutTensor::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::xlogy.OutScalar_Self(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::xlogy_OutScalar_Self::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::xlogy.OutScalar_Self(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::xlogy_OutScalar_Self::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::xlogy.OutScalar_Other(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::xlogy_OutScalar_Other::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::xlogy.OutScalar_Other(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::xlogy_OutScalar_Other::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::logdet(Tensor self) -> Tensor
    TORCH_API inline at::Tensor logdet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::logdet::redispatch(dispatchKeySet, self);
    }
    
    // aten::logspace(Scalar start, Scalar end, int? steps=None, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor logspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps=c10::nullopt, double base=10.0, at::TensorOptions options={}) {
        return at::_ops::logspace::redispatch(dispatchKeySet, start, end, steps, base, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::logspace(Scalar start, Scalar end, int? steps=None, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor logspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps, double base, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::logspace::redispatch(dispatchKeySet, start, end, steps, base, dtype, layout, device, pin_memory);
    }
    
    // aten::logspace.out(Scalar start, Scalar end, int? steps=None, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logspace_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps=c10::nullopt, double base=10.0) {
        return at::_ops::logspace_out::redispatch(dispatchKeySet, start, end, steps, base, out);
    }
    
    // aten::logspace.out(Scalar start, Scalar end, int? steps=None, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logspace_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<int64_t> steps, double base, at::Tensor & out) {
        return at::_ops::logspace_out::redispatch(dispatchKeySet, start, end, steps, base, out);
    }
    
    // aten::log_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::log_softmax_int::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::log_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::log_softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::_log_softmax(Tensor self, int dim, bool half_to_float) -> Tensor
    TORCH_API inline at::Tensor _log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) {
        return at::_ops::_log_softmax::redispatch(dispatchKeySet, self, dim, half_to_float);
    }
    
    // aten::_log_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _log_softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) {
        return at::_ops::_log_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out);
    }
    
    // aten::_log_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _log_softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) {
        return at::_ops::_log_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out);
    }
    
    // aten::_log_softmax_backward_data(Tensor grad_output, Tensor output, int dim, Tensor self) -> Tensor
    TORCH_API inline at::Tensor _log_softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) {
        return at::_ops::_log_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, self);
    }
    
    // aten::_log_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _log_softmax_backward_data_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) {
        return at::_ops::_log_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, out);
    }
    
    // aten::_log_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _log_softmax_backward_data_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::_log_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, out);
    }
    
    // aten::_logcumsumexp(Tensor self, int dim) -> Tensor
    TORCH_API inline at::Tensor _logcumsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::_logcumsumexp::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::_logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _logcumsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim) {
        return at::_ops::_logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::_logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _logcumsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) {
        return at::_ops::_logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::logcumsumexp(Tensor self, int dim) -> Tensor
    TORCH_API inline at::Tensor logcumsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::logcumsumexp::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logcumsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim) {
        return at::_ops::logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logcumsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) {
        return at::_ops::logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::logcumsumexp.dimname(Tensor self, Dimname dim) -> Tensor
    TORCH_API inline at::Tensor logcumsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::logcumsumexp_dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::logcumsumexp.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logcumsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::logcumsumexp_dimname_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::logcumsumexp.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logcumsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::Tensor & out) {
        return at::_ops::logcumsumexp_dimname_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::logsumexp(Tensor self, int[1] dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor logsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::logsumexp::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) {
        return at::_ops::logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::logsumexp.names(Tensor self, Dimname[1] dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor logsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim=false) {
        return at::_ops::logsumexp_names::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::logsumexp.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim=false) {
        return at::_ops::logsumexp_names_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::logsumexp.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim, at::Tensor & out) {
        return at::_ops::logsumexp_names_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, float margin=0.0, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor margin_ranking_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin=0.0, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::margin_ranking_loss::redispatch(dispatchKeySet, input1, input2, target, margin, reduction);
    }
    
    // aten::matmul(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor matmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::matmul::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & matmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::matmul_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & matmul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::matmul_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::matrix_rank.tol(Tensor self, float tol, bool symmetric=False) -> Tensor
    TORCH_API inline at::Tensor matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double tol, bool symmetric=false) {
        return at::_ops::matrix_rank_tol::redispatch(dispatchKeySet, self, tol, symmetric);
    }
    
    // aten::matrix_rank(Tensor self, bool symmetric=False) -> Tensor
    TORCH_API inline at::Tensor matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool symmetric=false) {
        return at::_ops::matrix_rank::redispatch(dispatchKeySet, self, symmetric);
    }
    
    // aten::matrix_power(Tensor self, int n) -> Tensor
    TORCH_API inline at::Tensor matrix_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n) {
        return at::_ops::matrix_power::redispatch(dispatchKeySet, self, n);
    }
    
    // aten::matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & matrix_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t n) {
        return at::_ops::matrix_power_out::redispatch(dispatchKeySet, self, n, out);
    }
    
    // aten::matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & matrix_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n, at::Tensor & out) {
        return at::_ops::matrix_power_out::redispatch(dispatchKeySet, self, n, out);
    }
    
    // aten::matrix_exp(Tensor self) -> Tensor
    TORCH_API inline at::Tensor matrix_exp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::matrix_exp::redispatch(dispatchKeySet, self);
    }
    
    // aten::matrix_exp_backward(Tensor self, Tensor grad) -> Tensor
    TORCH_API inline at::Tensor matrix_exp_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad) {
        return at::_ops::matrix_exp_backward::redispatch(dispatchKeySet, self, grad);
    }
    
    // aten::_aminmax(Tensor self) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _aminmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_aminmax::redispatch(dispatchKeySet, self);
    }
    
    // aten::_aminmax.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _aminmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::_aminmax_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::aminmax(Tensor self, *, int? dim=None, bool keepdim=False) -> (Tensor min, Tensor max)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> aminmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::aminmax::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::aminmax.out(Tensor self, *, int? dim=None, bool keepdim=False, Tensor(a!) min, Tensor(b!) max) -> (Tensor(a!) min, Tensor(b!) max)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> aminmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & min, at::Tensor & max, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::aminmax_out::redispatch(dispatchKeySet, self, dim, keepdim, min, max);
    }
    
    // aten::aminmax.out(Tensor self, *, int? dim=None, bool keepdim=False, Tensor(a!) min, Tensor(b!) max) -> (Tensor(a!) min, Tensor(b!) max)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> aminmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim, bool keepdim, at::Tensor & min, at::Tensor & max) {
        return at::_ops::aminmax_out::redispatch(dispatchKeySet, self, dim, keepdim, min, max);
    }
    
    // aten::_compute_linear_combination(Tensor input, Tensor coefficients) -> Tensor
    TORCH_API inline at::Tensor _compute_linear_combination(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & coefficients) {
        return at::_ops::_compute_linear_combination::redispatch(dispatchKeySet, input, coefficients);
    }
    
    // aten::_compute_linear_combination.out(Tensor input, Tensor coefficients, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _compute_linear_combination_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & coefficients) {
        return at::_ops::_compute_linear_combination_out::redispatch(dispatchKeySet, input, coefficients, out);
    }
    
    // aten::_compute_linear_combination.out(Tensor input, Tensor coefficients, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _compute_linear_combination_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & coefficients, at::Tensor & out) {
        return at::_ops::_compute_linear_combination_out::redispatch(dispatchKeySet, input, coefficients, out);
    }
    
    // aten::max.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::max_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::max.dim_max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & max, at::Tensor & max_values, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::max_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values);
    }
    
    // aten::max.dim_max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) {
        return at::_ops::max_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values);
    }
    
    // aten::max.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::max_names_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::max.names_dim_max(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & max, at::Tensor & max_values, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::max_names_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values);
    }
    
    // aten::max.names_dim_max(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) {
        return at::_ops::max_names_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values);
    }
    
    // aten::value_selecting_reduction_backward(Tensor grad, int dim, Tensor indices, int[] sizes, bool keepdim) -> Tensor
    TORCH_API inline at::Tensor value_selecting_reduction_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, int64_t dim, const at::Tensor & indices, at::IntArrayRef sizes, bool keepdim) {
        return at::_ops::value_selecting_reduction_backward::redispatch(dispatchKeySet, grad, dim, indices, sizes, keepdim);
    }
    
    // aten::amax(Tensor self, int[1] dim=[], bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor amax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) {
        return at::_ops::amax::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::amax.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & amax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) {
        return at::_ops::amax_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::amax.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & amax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) {
        return at::_ops::amax_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::max_pool1d_with_indices(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> max_pool1d_with_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool1d_with_indices::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::max_pool1d(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor max_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool1d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::max_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::mkldnn_max_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor mkldnn_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::mkldnn_max_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor mkldnn_max_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::mkldnn_max_pool2d_backward::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::mkldnn_max_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor mkldnn_max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::mkldnn_max_pool3d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor mkldnn_max_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::mkldnn_max_pool3d_backward::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::quantized_max_pool1d(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor quantized_max_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::quantized_max_pool1d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::quantized_max_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor quantized_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::quantized_max_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::max_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor
    TORCH_API inline at::Tensor max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool3d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::mean(Tensor self, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::mean::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::mean.dim(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::mean_dim::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::mean.out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::mean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::mean.out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::mean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::mean.names_dim(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::mean_names_dim::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::mean.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::mean_names_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::mean.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::mean_names_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::nanmean(Tensor self, int[1] dim=[], bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor nanmean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::nanmean::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::nanmean.out(Tensor self, int[1] dim=[], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanmean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::nanmean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::nanmean.out(Tensor self, int[1] dim=[], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanmean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::nanmean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::median(Tensor self) -> Tensor
    TORCH_API inline at::Tensor median(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::median::redispatch(dispatchKeySet, self);
    }
    
    // aten::median.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> median(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::median_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::median.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> median_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::median_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::median.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> median_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::median_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::median.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> median(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::median_names_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::median.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> median_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::median_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::median.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> median_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::median_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::nanmedian(Tensor self) -> Tensor
    TORCH_API inline at::Tensor nanmedian(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::nanmedian::redispatch(dispatchKeySet, self);
    }
    
    // aten::nanmedian.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> nanmedian(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::nanmedian_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::nanmedian.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::nanmedian_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::nanmedian.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::nanmedian_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::nanmedian.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> nanmedian(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::nanmedian_names_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::nanmedian.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::nanmedian_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::nanmedian.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::nanmedian_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::min.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::min_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::min.dim_min(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & min, at::Tensor & min_indices, const at::Tensor & self, int64_t dim, bool keepdim=false) {
        return at::_ops::min_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices);
    }
    
    // aten::min.dim_min(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & min, at::Tensor & min_indices) {
        return at::_ops::min_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices);
    }
    
    // aten::min.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::min_names_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::min.names_dim_min(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & min, at::Tensor & min_indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::min_names_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices);
    }
    
    // aten::min.names_dim_min(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & min, at::Tensor & min_indices) {
        return at::_ops::min_names_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices);
    }
    
    // aten::amin(Tensor self, int[1] dim=[], bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor amin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) {
        return at::_ops::amin::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::amin.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & amin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) {
        return at::_ops::amin_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::amin.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & amin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) {
        return at::_ops::amin_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::mkldnn_convolution(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups) -> Tensor
    TORCH_API inline at::Tensor mkldnn_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) {
        return at::_ops::mkldnn_convolution::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups);
    }
    
    // aten::mkldnn_convolution_backward_input(int[] self_size, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool bias_defined) -> Tensor
    TORCH_API inline at::Tensor mkldnn_convolution_backward_input(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef self_size, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool bias_defined) {
        return at::_ops::mkldnn_convolution_backward_input::redispatch(dispatchKeySet, self_size, grad_output, weight, padding, stride, dilation, groups, bias_defined);
    }
    
    // aten::mkldnn_convolution_backward_weights(int[] weight_size, Tensor grad_output, Tensor self, int[] padding, int[] stride, int[] dilation, int groups, bool bias_defined) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> mkldnn_convolution_backward_weights(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef weight_size, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool bias_defined) {
        return at::_ops::mkldnn_convolution_backward_weights::redispatch(dispatchKeySet, weight_size, grad_output, self, padding, stride, dilation, groups, bias_defined);
    }
    
    // aten::mkldnn_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> mkldnn_convolution_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, ::std::array<bool,3> output_mask) {
        return at::_ops::mkldnn_convolution_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, stride, dilation, groups, output_mask);
    }
    
    // aten::miopen_batch_norm(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> miopen_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon) {
        return at::_ops::miopen_batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon);
    }
    
    // aten::miopen_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> miopen_batch_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon) {
        return at::_ops::miopen_batch_norm_backward::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon);
    }
    
    // aten::miopen_convolution(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_convolution::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_convolution_backward_input(int[] self_size, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_convolution_backward_input(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef self_size, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_convolution_backward_input::redispatch(dispatchKeySet, self_size, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> miopen_convolution_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, ::std::array<bool,3> output_mask) {
        return at::_ops::miopen_convolution_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic, output_mask);
    }
    
    // aten::miopen_convolution_backward_bias(Tensor grad_output) -> Tensor
    TORCH_API inline at::Tensor miopen_convolution_backward_bias(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output) {
        return at::_ops::miopen_convolution_backward_bias::redispatch(dispatchKeySet, grad_output);
    }
    
    // aten::miopen_convolution_backward_weight(int[] weight_size, Tensor grad_output, Tensor self, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_convolution_backward_weight(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef weight_size, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_convolution_backward_weight::redispatch(dispatchKeySet, weight_size, grad_output, self, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_convolution_transpose(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_convolution_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_convolution_transpose::redispatch(dispatchKeySet, self, weight, bias, padding, output_padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> miopen_convolution_transpose_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, ::std::array<bool,3> output_mask) {
        return at::_ops::miopen_convolution_transpose_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, output_mask);
    }
    
    // aten::miopen_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_convolution_transpose_backward_input(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_convolution_transpose_backward_input::redispatch(dispatchKeySet, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_convolution_transpose_backward_weight(int[] weight_size, Tensor grad_output, Tensor self, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_convolution_transpose_backward_weight(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef weight_size, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_convolution_transpose_backward_weight::redispatch(dispatchKeySet, weight_size, grad_output, self, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_depthwise_convolution(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_depthwise_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_depthwise_convolution::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_depthwise_convolution_backward_input(int[] self_size, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_depthwise_convolution_backward_input(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef self_size, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_depthwise_convolution_backward_input::redispatch(dispatchKeySet, self_size, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_depthwise_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> miopen_depthwise_convolution_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, ::std::array<bool,3> output_mask) {
        return at::_ops::miopen_depthwise_convolution_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, stride, dilation, groups, benchmark, deterministic, output_mask);
    }
    
    // aten::miopen_depthwise_convolution_backward_weight(int[] weight_size, Tensor grad_output, Tensor self, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
    TORCH_API inline at::Tensor miopen_depthwise_convolution_backward_weight(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef weight_size, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) {
        return at::_ops::miopen_depthwise_convolution_backward_weight::redispatch(dispatchKeySet, weight_size, grad_output, self, padding, stride, dilation, groups, benchmark, deterministic);
    }
    
    // aten::miopen_rnn(Tensor input, Tensor[] weight, int weight_stride0, Tensor hx, Tensor? cx, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> miopen_rnn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) {
        return at::_ops::miopen_rnn::redispatch(dispatchKeySet, input, weight, weight_stride0, hx, cx, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state);
    }
    
    // aten::miopen_rnn_backward(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask) -> (Tensor, Tensor, Tensor, Tensor[])
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> miopen_rnn_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) {
        return at::_ops::miopen_rnn_backward::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask);
    }
    
    // aten::mm(Tensor self, Tensor mat2) -> Tensor
    TORCH_API inline at::Tensor mm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2) {
        return at::_ops::mm::redispatch(dispatchKeySet, self, mat2);
    }
    
    // aten::mm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat2) {
        return at::_ops::mm_out::redispatch(dispatchKeySet, self, mat2, out);
    }
    
    // aten::mm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2, at::Tensor & out) {
        return at::_ops::mm_out::redispatch(dispatchKeySet, self, mat2, out);
    }
    
    // aten::_sparse_mm(Tensor sparse, Tensor dense) -> Tensor
    TORCH_API inline at::Tensor _sparse_mm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sparse, const at::Tensor & dense) {
        return at::_ops::_sparse_mm::redispatch(dispatchKeySet, sparse, dense);
    }
    
    // aten::_sparse_sparse_matmul(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor _sparse_sparse_matmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::_sparse_sparse_matmul::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::_sparse_mask_helper(Tensor t, Tensor mask_indices) -> Tensor
    TORCH_API inline at::Tensor _sparse_mask_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & t, const at::Tensor & mask_indices) {
        return at::_ops::_sparse_mask_helper::redispatch(dispatchKeySet, t, mask_indices);
    }
    
    // aten::mode(Tensor self, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> mode(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1, bool keepdim=false) {
        return at::_ops::mode::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::mode.values(Tensor self, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> mode_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim=-1, bool keepdim=false) {
        return at::_ops::mode_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::mode.values(Tensor self, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> mode_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::mode_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::mode.dimname(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> mode(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::mode_dimname::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::mode.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> mode_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
        return at::_ops::mode_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::mode.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> mode_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::mode_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, values, indices);
    }
    
    // aten::mul.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor mul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::mul_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::mul_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & mul_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::mul__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::mul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::mul_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::mul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::mul_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::mul.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor mul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::mul_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::mul_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & mul_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::mul__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::multiply.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor multiply(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::multiply_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::multiply_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & multiply_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::multiply__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::multiply.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multiply_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::multiply_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::multiply.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multiply_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::multiply_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::multiply.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor multiply(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::multiply_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::multiply_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & multiply_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::multiply__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::mv(Tensor self, Tensor vec) -> Tensor
    TORCH_API inline at::Tensor mv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec) {
        return at::_ops::mv::redispatch(dispatchKeySet, self, vec);
    }
    
    // aten::mv.out(Tensor self, Tensor vec, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec) {
        return at::_ops::mv_out::redispatch(dispatchKeySet, self, vec, out);
    }
    
    // aten::mv.out(Tensor self, Tensor vec, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec, at::Tensor & out) {
        return at::_ops::mv_out::redispatch(dispatchKeySet, self, vec, out);
    }
    
    // aten::mvlgamma.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mvlgamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t p) {
        return at::_ops::mvlgamma_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::mvlgamma.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mvlgamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p, at::Tensor & out) {
        return at::_ops::mvlgamma_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::mvlgamma(Tensor self, int p) -> Tensor
    TORCH_API inline at::Tensor mvlgamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p) {
        return at::_ops::mvlgamma::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::mvlgamma_(Tensor(a!) self, int p) -> Tensor(a!)
    TORCH_API inline at::Tensor & mvlgamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t p) {
        return at::_ops::mvlgamma_::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::narrow_copy(Tensor self, int dim, int start, int length) -> Tensor
    TORCH_API inline at::Tensor narrow_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t start, int64_t length) {
        return at::_ops::narrow_copy::redispatch(dispatchKeySet, self, dim, start, length);
    }
    
    // aten::narrow_copy.out(Tensor self, int dim, int start, int length, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & narrow_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, int64_t start, int64_t length) {
        return at::_ops::narrow_copy_out::redispatch(dispatchKeySet, self, dim, start, length, out);
    }
    
    // aten::narrow_copy.out(Tensor self, int dim, int start, int length, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & narrow_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t start, int64_t length, at::Tensor & out) {
        return at::_ops::narrow_copy_out::redispatch(dispatchKeySet, self, dim, start, length, out);
    }
    
    // aten::narrow(Tensor(a) self, int dim, int start, int length) -> Tensor(a)
    TORCH_API inline at::Tensor narrow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t start, int64_t length) {
        return at::_ops::narrow::redispatch(dispatchKeySet, self, dim, start, length);
    }
    
    // aten::narrow.Tensor(Tensor(a) self, int dim, Tensor start, int length) -> Tensor(a)
    TORCH_API inline at::Tensor narrow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & start, int64_t length) {
        return at::_ops::narrow_Tensor::redispatch(dispatchKeySet, self, dim, start, length);
    }
    
    // aten::native_batch_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps) {
        return at::_ops::native_batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps);
    }
    
    // aten::native_batch_norm.out(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, *, Tensor(a!) out, Tensor(b!) save_mean, Tensor(c!) save_invstd) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_batch_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps) {
        return at::_ops::native_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, out, save_mean, save_invstd);
    }
    
    // aten::native_batch_norm.out(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, *, Tensor(a!) out, Tensor(b!) save_mean, Tensor(c!) save_invstd) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_batch_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd) {
        return at::_ops::native_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, out, save_mean, save_invstd);
    }
    
    // aten::batch_norm_stats(Tensor input, float eps) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_stats(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double eps) {
        return at::_ops::batch_norm_stats::redispatch(dispatchKeySet, input, eps);
    }
    
    // aten::batch_norm_elemt(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor invstd, float eps) -> Tensor
    TORCH_API inline at::Tensor batch_norm_elemt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & invstd, double eps) {
        return at::_ops::batch_norm_elemt::redispatch(dispatchKeySet, input, weight, bias, mean, invstd, eps);
    }
    
    // aten::batch_norm_elemt.out(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor invstd, float eps, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & batch_norm_elemt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & invstd, double eps) {
        return at::_ops::batch_norm_elemt_out::redispatch(dispatchKeySet, input, weight, bias, mean, invstd, eps, out);
    }
    
    // aten::batch_norm_elemt.out(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor invstd, float eps, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & batch_norm_elemt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & invstd, double eps, at::Tensor & out) {
        return at::_ops::batch_norm_elemt_out::redispatch(dispatchKeySet, input, weight, bias, mean, invstd, eps, out);
    }
    
    // aten::batch_norm_gather_stats(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_gather_stats(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, int64_t count) {
        return at::_ops::batch_norm_gather_stats::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, count);
    }
    
    // aten::batch_norm_gather_stats_with_counts(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, Tensor counts) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_gather_stats_with_counts(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, const at::Tensor & counts) {
        return at::_ops::batch_norm_gather_stats_with_counts::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, counts);
    }
    
    // aten::native_batch_norm_backward(Tensor grad_out, Tensor input, Tensor? weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_invstd, bool train, float eps, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_batch_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_invstd, bool train, double eps, ::std::array<bool,3> output_mask) {
        return at::_ops::native_batch_norm_backward::redispatch(dispatchKeySet, grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask);
    }
    
    // aten::batch_norm_backward_reduce(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, bool input_g, bool weight_g, bool bias_g) -> (Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> batch_norm_backward_reduce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, bool input_g, bool weight_g, bool bias_g) {
        return at::_ops::batch_norm_backward_reduce::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g);
    }
    
    // aten::batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count) -> Tensor
    TORCH_API inline at::Tensor batch_norm_backward_elemt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, const at::Tensor & mean_dy, const at::Tensor & mean_dy_xmu, const at::Tensor & count) {
        return at::_ops::batch_norm_backward_elemt::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count);
    }
    
    // aten::batch_norm_update_stats(Tensor input, Tensor? running_mean, Tensor? running_var, float momentum) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_update_stats(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum) {
        return at::_ops::batch_norm_update_stats::redispatch(dispatchKeySet, input, running_mean, running_var, momentum);
    }
    
    // aten::is_vulkan_available() -> bool
    TORCH_API inline bool is_vulkan_available(c10::DispatchKeySet dispatchKeySet) {
        return at::_ops::is_vulkan_available::redispatch(dispatchKeySet);
    }
    
    // aten::_nnpack_available() -> bool
    TORCH_API inline bool _nnpack_available(c10::DispatchKeySet dispatchKeySet) {
        return at::_ops::_nnpack_available::redispatch(dispatchKeySet);
    }
    
    // aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, int[2] padding, int[2] stride=1) -> Tensor
    TORCH_API inline at::Tensor _nnpack_spatial_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride=1) {
        return at::_ops::_nnpack_spatial_convolution::redispatch(dispatchKeySet, input, weight, bias, padding, stride);
    }
    
    // aten::_nnpack_spatial_convolution_backward(Tensor input, Tensor grad_output, Tensor weight, int[2] padding, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _nnpack_spatial_convolution_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, ::std::array<bool,3> output_mask) {
        return at::_ops::_nnpack_spatial_convolution_backward::redispatch(dispatchKeySet, input, grad_output, weight, padding, output_mask);
    }
    
    // aten::_nnpack_spatial_convolution_backward_input(Tensor input, Tensor grad_output, Tensor weight, int[2] padding) -> Tensor
    TORCH_API inline at::Tensor _nnpack_spatial_convolution_backward_input(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding) {
        return at::_ops::_nnpack_spatial_convolution_backward_input::redispatch(dispatchKeySet, input, grad_output, weight, padding);
    }
    
    // aten::_nnpack_spatial_convolution_backward_weight(Tensor input, int[] weightsize, Tensor grad_output, int[2] padding) -> Tensor
    TORCH_API inline at::Tensor _nnpack_spatial_convolution_backward_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::IntArrayRef weightsize, const at::Tensor & grad_output, at::IntArrayRef padding) {
        return at::_ops::_nnpack_spatial_convolution_backward_weight::redispatch(dispatchKeySet, input, weightsize, grad_output, padding);
    }
    
    // aten::ones.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
        return at::_ops::ones_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::ones.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::ones_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory);
    }
    
    // aten::ones(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::ones::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::ones(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::ones::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory);
    }
    
    // aten::ones.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ones_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) {
        return at::_ops::ones_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::ones.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ones_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) {
        return at::_ops::ones_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::ones_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor ones_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::ones_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::ones_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor ones_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::ones_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::pairwise_distance(Tensor x1, Tensor x2, float p=2, float eps=1e-06, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor pairwise_distance(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, double p=2, double eps=1e-06, bool keepdim=false) {
        return at::_ops::pairwise_distance::redispatch(dispatchKeySet, x1, x2, p, eps, keepdim);
    }
    
    // aten::cdist(Tensor x1, Tensor x2, float p=2, int? compute_mode=None) -> Tensor
    TORCH_API inline at::Tensor cdist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, double p=2, c10::optional<int64_t> compute_mode=c10::nullopt) {
        return at::_ops::cdist::redispatch(dispatchKeySet, x1, x2, p, compute_mode);
    }
    
    // aten::_euclidean_dist(Tensor x1, Tensor x2) -> Tensor
    TORCH_API inline at::Tensor _euclidean_dist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2) {
        return at::_ops::_euclidean_dist::redispatch(dispatchKeySet, x1, x2);
    }
    
    // aten::_cdist_forward(Tensor x1, Tensor x2, float p, int? compute_mode) -> Tensor
    TORCH_API inline at::Tensor _cdist_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, double p, c10::optional<int64_t> compute_mode) {
        return at::_ops::_cdist_forward::redispatch(dispatchKeySet, x1, x2, p, compute_mode);
    }
    
    // aten::_cdist_backward(Tensor grad, Tensor x1, Tensor x2, float p, Tensor cdist) -> Tensor
    TORCH_API inline at::Tensor _cdist_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & x1, const at::Tensor & x2, double p, const at::Tensor & cdist) {
        return at::_ops::_cdist_backward::redispatch(dispatchKeySet, grad, x1, x2, p, cdist);
    }
    
    // aten::pdist(Tensor self, float p=2) -> Tensor
    TORCH_API inline at::Tensor pdist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p=2) {
        return at::_ops::pdist::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::_pdist_forward(Tensor self, float p=2) -> Tensor
    TORCH_API inline at::Tensor _pdist_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p=2) {
        return at::_ops::_pdist_forward::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::_pdist_backward(Tensor grad, Tensor self, float p, Tensor pdist) -> Tensor
    TORCH_API inline at::Tensor _pdist_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, double p, const at::Tensor & pdist) {
        return at::_ops::_pdist_backward::redispatch(dispatchKeySet, grad, self, p, pdist);
    }
    
    // aten::cosine_similarity(Tensor x1, Tensor x2, int dim=1, float eps=1e-08) -> Tensor
    TORCH_API inline at::Tensor cosine_similarity(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, int64_t dim=1, double eps=1e-08) {
        return at::_ops::cosine_similarity::redispatch(dispatchKeySet, x1, x2, dim, eps);
    }
    
    // aten::permute(Tensor(a) self, int[] dims) -> Tensor(a)
    TORCH_API inline at::Tensor permute(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims) {
        return at::_ops::permute::redispatch(dispatchKeySet, self, dims);
    }
    
    // aten::movedim.intlist(Tensor(a) self, int[] source, int[] destination) -> Tensor(a)
    TORCH_API inline at::Tensor movedim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) {
        return at::_ops::movedim_intlist::redispatch(dispatchKeySet, self, source, destination);
    }
    
    // aten::movedim.int(Tensor(a) self, int source, int destination) -> Tensor(a)
    TORCH_API inline at::Tensor movedim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t source, int64_t destination) {
        return at::_ops::movedim_int::redispatch(dispatchKeySet, self, source, destination);
    }
    
    // aten::moveaxis.intlist(Tensor(a) self, int[] source, int[] destination) -> Tensor(a)
    TORCH_API inline at::Tensor moveaxis(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) {
        return at::_ops::moveaxis_intlist::redispatch(dispatchKeySet, self, source, destination);
    }
    
    // aten::moveaxis.int(Tensor(a) self, int source, int destination) -> Tensor(a)
    TORCH_API inline at::Tensor moveaxis(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t source, int64_t destination) {
        return at::_ops::moveaxis_int::redispatch(dispatchKeySet, self, source, destination);
    }
    
    // aten::numpy_T(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor numpy_T(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::numpy_T::redispatch(dispatchKeySet, self);
    }
    
    // aten::pixel_shuffle(Tensor self, int upscale_factor) -> Tensor
    TORCH_API inline at::Tensor pixel_shuffle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t upscale_factor) {
        return at::_ops::pixel_shuffle::redispatch(dispatchKeySet, self, upscale_factor);
    }
    
    // aten::pixel_unshuffle(Tensor self, int downscale_factor) -> Tensor
    TORCH_API inline at::Tensor pixel_unshuffle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t downscale_factor) {
        return at::_ops::pixel_unshuffle::redispatch(dispatchKeySet, self, downscale_factor);
    }
    
    // aten::channel_shuffle(Tensor self, int groups) -> Tensor
    TORCH_API inline at::Tensor channel_shuffle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t groups) {
        return at::_ops::channel_shuffle::redispatch(dispatchKeySet, self, groups);
    }
    
    // aten::is_pinned(Tensor self, Device? device=None) -> bool
    TORCH_API inline bool is_pinned(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Device> device=c10::nullopt) {
        return at::_ops::is_pinned::redispatch(dispatchKeySet, self, device);
    }
    
    // aten::pin_memory(Tensor(a) self, Device? device=None) -> Tensor(a)
    TORCH_API inline at::Tensor pin_memory(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Device> device=c10::nullopt) {
        return at::_ops::pin_memory::redispatch(dispatchKeySet, self, device);
    }
    
    // aten::_pin_memory(Tensor self, Device? device=None) -> Tensor
    TORCH_API inline at::Tensor _pin_memory(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Device> device=c10::nullopt) {
        return at::_ops::_pin_memory::redispatch(dispatchKeySet, self, device);
    }
    
    // aten::pinverse(Tensor self, float rcond=1e-15) -> Tensor
    TORCH_API inline at::Tensor pinverse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double rcond=1e-15) {
        return at::_ops::pinverse::redispatch(dispatchKeySet, self, rcond);
    }
    
    // aten::poisson_nll_loss(Tensor input, Tensor target, bool log_input, bool full, float eps, int reduction) -> Tensor
    TORCH_API inline at::Tensor poisson_nll_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & target, bool log_input, bool full, double eps, int64_t reduction) {
        return at::_ops::poisson_nll_loss::redispatch(dispatchKeySet, input, target, log_input, full, eps, reduction);
    }
    
    // aten::rad2deg(Tensor self) -> Tensor
    TORCH_API inline at::Tensor rad2deg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::rad2deg::redispatch(dispatchKeySet, self);
    }
    
    // aten::rad2deg_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & rad2deg_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::rad2deg_::redispatch(dispatchKeySet, self);
    }
    
    // aten::rad2deg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rad2deg_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::rad2deg_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::rad2deg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rad2deg_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::rad2deg_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::deg2rad(Tensor self) -> Tensor
    TORCH_API inline at::Tensor deg2rad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::deg2rad::redispatch(dispatchKeySet, self);
    }
    
    // aten::deg2rad_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & deg2rad_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::deg2rad_::redispatch(dispatchKeySet, self);
    }
    
    // aten::deg2rad.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & deg2rad_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::deg2rad_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::deg2rad.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & deg2rad_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::deg2rad_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::scalar_tensor(Scalar s, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor scalar_tensor(c10::DispatchKeySet dispatchKeySet, const at::Scalar & s, at::TensorOptions options={}) {
        return at::_ops::scalar_tensor::redispatch(dispatchKeySet, s, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::scalar_tensor(Scalar s, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor scalar_tensor(c10::DispatchKeySet dispatchKeySet, const at::Scalar & s, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::scalar_tensor::redispatch(dispatchKeySet, s, dtype, layout, device, pin_memory);
    }
    
    // aten::rand.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
        return at::_ops::rand_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::rand.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::rand_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory);
    }
    
    // aten::rand.generator_with_names(int[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
        return at::_ops::rand_generator_with_names::redispatch(dispatchKeySet, size, generator, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::rand.generator_with_names(int[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::rand_generator_with_names::redispatch(dispatchKeySet, size, generator, names, dtype, layout, device, pin_memory);
    }
    
    // aten::rand(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::rand::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::rand(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::rand::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory);
    }
    
    // aten::rand.generator(int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) {
        return at::_ops::rand_generator::redispatch(dispatchKeySet, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::rand.generator(int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::rand_generator::redispatch(dispatchKeySet, size, generator, dtype, layout, device, pin_memory);
    }
    
    // aten::rand.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rand_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) {
        return at::_ops::rand_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::rand.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rand_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) {
        return at::_ops::rand_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::rand.generator_out(int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rand_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator) {
        return at::_ops::rand_generator_out::redispatch(dispatchKeySet, size, generator, out);
    }
    
    // aten::rand.generator_out(int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rand_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::rand_generator_out::redispatch(dispatchKeySet, size, generator, out);
    }
    
    // aten::rand_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor rand_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::rand_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::rand_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor rand_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::rand_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::randint(int high, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::randint::redispatch(dispatchKeySet, high, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randint(int high, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randint::redispatch(dispatchKeySet, high, size, dtype, layout, device, pin_memory);
    }
    
    // aten::randint.generator(int high, int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) {
        return at::_ops::randint_generator::redispatch(dispatchKeySet, high, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randint.generator(int high, int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randint_generator::redispatch(dispatchKeySet, high, size, generator, dtype, layout, device, pin_memory);
    }
    
    // aten::randint.low(int low, int high, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::randint_low::redispatch(dispatchKeySet, low, high, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randint.low(int low, int high, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randint_low::redispatch(dispatchKeySet, low, high, size, dtype, layout, device, pin_memory);
    }
    
    // aten::randint.low_generator(int low, int high, int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) {
        return at::_ops::randint_low_generator::redispatch(dispatchKeySet, low, high, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randint.low_generator(int low, int high, int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randint_low_generator::redispatch(dispatchKeySet, low, high, size, generator, dtype, layout, device, pin_memory);
    }
    
    // aten::randint.out(int high, int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t high, at::IntArrayRef size) {
        return at::_ops::randint_out::redispatch(dispatchKeySet, high, size, out);
    }
    
    // aten::randint.out(int high, int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, at::Tensor & out) {
        return at::_ops::randint_out::redispatch(dispatchKeySet, high, size, out);
    }
    
    // aten::randint.generator_out(int high, int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator) {
        return at::_ops::randint_generator_out::redispatch(dispatchKeySet, high, size, generator, out);
    }
    
    // aten::randint.generator_out(int high, int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::randint_generator_out::redispatch(dispatchKeySet, high, size, generator, out);
    }
    
    // aten::randint.low_out(int low, int high, int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t low, int64_t high, at::IntArrayRef size) {
        return at::_ops::randint_low_out::redispatch(dispatchKeySet, low, high, size, out);
    }
    
    // aten::randint.low_out(int low, int high, int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, at::Tensor & out) {
        return at::_ops::randint_low_out::redispatch(dispatchKeySet, low, high, size, out);
    }
    
    // aten::randint.low_generator_out(int low, int high, int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator) {
        return at::_ops::randint_low_generator_out::redispatch(dispatchKeySet, low, high, size, generator, out);
    }
    
    // aten::randint.low_generator_out(int low, int high, int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::randint_low_generator_out::redispatch(dispatchKeySet, low, high, size, generator, out);
    }
    
    // aten::randint_like(Tensor self, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t high, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::randint_like::redispatch(dispatchKeySet, self, high, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::randint_like(Tensor self, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t high, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::randint_like::redispatch(dispatchKeySet, self, high, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::randint_like.low_dtype(Tensor self, int low, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t low, int64_t high, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::randint_like_low_dtype::redispatch(dispatchKeySet, self, low, high, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::randint_like.low_dtype(Tensor self, int low, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t low, int64_t high, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::randint_like_low_dtype::redispatch(dispatchKeySet, self, low, high, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::randn(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::randn::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randn(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randn::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory);
    }
    
    // aten::randn.generator(int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) {
        return at::_ops::randn_generator::redispatch(dispatchKeySet, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randn.generator(int[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randn_generator::redispatch(dispatchKeySet, size, generator, dtype, layout, device, pin_memory);
    }
    
    // aten::randn.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
        return at::_ops::randn_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randn.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randn_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory);
    }
    
    // aten::randn.generator_with_names(int[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
        return at::_ops::randn_generator_with_names::redispatch(dispatchKeySet, size, generator, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randn.generator_with_names(int[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randn_generator_with_names::redispatch(dispatchKeySet, size, generator, names, dtype, layout, device, pin_memory);
    }
    
    // aten::randn.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) {
        return at::_ops::randn_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::randn.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randn_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) {
        return at::_ops::randn_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::randn.generator_out(int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator) {
        return at::_ops::randn_generator_out::redispatch(dispatchKeySet, size, generator, out);
    }
    
    // aten::randn.generator_out(int[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randn_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::randn_generator_out::redispatch(dispatchKeySet, size, generator, out);
    }
    
    // aten::randn_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor randn_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::randn_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::randn_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor randn_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::randn_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::randperm(int n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, at::TensorOptions options=at::kLong) {
        return at::_ops::randperm::redispatch(dispatchKeySet, n, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randperm(int n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randperm::redispatch(dispatchKeySet, n, dtype, layout, device, pin_memory);
    }
    
    // aten::randperm.generator(int n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::Generator> generator, at::TensorOptions options=at::kLong) {
        return at::_ops::randperm_generator::redispatch(dispatchKeySet, n, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::randperm.generator(int n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::randperm_generator::redispatch(dispatchKeySet, n, generator, dtype, layout, device, pin_memory);
    }
    
    // aten::randperm.out(int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randperm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n) {
        return at::_ops::randperm_out::redispatch(dispatchKeySet, n, out);
    }
    
    // aten::randperm.out(int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randperm_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, at::Tensor & out) {
        return at::_ops::randperm_out::redispatch(dispatchKeySet, n, out);
    }
    
    // aten::randperm.generator_out(int n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randperm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, c10::optional<at::Generator> generator) {
        return at::_ops::randperm_generator_out::redispatch(dispatchKeySet, n, generator, out);
    }
    
    // aten::randperm.generator_out(int n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & randperm_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::randperm_generator_out::redispatch(dispatchKeySet, n, generator, out);
    }
    
    // aten::range.step(Scalar start, Scalar end, Scalar step=1, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step=1, at::TensorOptions options={}) {
        return at::_ops::range_step::redispatch(dispatchKeySet, start, end, step, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::range.step(Scalar start, Scalar end, Scalar step=1, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::range_step::redispatch(dispatchKeySet, start, end, step, dtype, layout, device, pin_memory);
    }
    
    // aten::range(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, at::TensorOptions options={}) {
        return at::_ops::range::redispatch(dispatchKeySet, start, end, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::range(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::range::redispatch(dispatchKeySet, start, end, dtype, layout, device, pin_memory);
    }
    
    // aten::range.out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & range_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step=1) {
        return at::_ops::range_out::redispatch(dispatchKeySet, start, end, step, out);
    }
    
    // aten::range.out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & range_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, at::Tensor & out) {
        return at::_ops::range_out::redispatch(dispatchKeySet, start, end, step, out);
    }
    
    // aten::ravel(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor ravel(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::ravel::redispatch(dispatchKeySet, self);
    }
    
    // aten::reciprocal(Tensor self) -> Tensor
    TORCH_API inline at::Tensor reciprocal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::reciprocal::redispatch(dispatchKeySet, self);
    }
    
    // aten::reciprocal_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & reciprocal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::reciprocal_::redispatch(dispatchKeySet, self);
    }
    
    // aten::reciprocal.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reciprocal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::reciprocal_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::reciprocal.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reciprocal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::reciprocal_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::neg(Tensor self) -> Tensor
    TORCH_API inline at::Tensor neg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::neg::redispatch(dispatchKeySet, self);
    }
    
    // aten::neg_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & neg_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::neg_::redispatch(dispatchKeySet, self);
    }
    
    // aten::neg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & neg_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::neg_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::neg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & neg_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::neg_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::negative(Tensor self) -> Tensor
    TORCH_API inline at::Tensor negative(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::negative::redispatch(dispatchKeySet, self);
    }
    
    // aten::negative_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & negative_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::negative_::redispatch(dispatchKeySet, self);
    }
    
    // aten::negative.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & negative_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::negative_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::negative.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & negative_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::negative_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::repeat(Tensor self, int[] repeats) -> Tensor
    TORCH_API inline at::Tensor repeat(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef repeats) {
        return at::_ops::repeat::redispatch(dispatchKeySet, self, repeats);
    }
    
    // aten::repeat_interleave.Tensor(Tensor repeats, *, int? output_size=None) -> Tensor
    TORCH_API inline at::Tensor repeat_interleave(c10::DispatchKeySet dispatchKeySet, const at::Tensor & repeats, c10::optional<int64_t> output_size=c10::nullopt) {
        return at::_ops::repeat_interleave_Tensor::redispatch(dispatchKeySet, repeats, output_size);
    }
    
    // aten::repeat_interleave.self_Tensor(Tensor self, Tensor repeats, int? dim=None, *, int? output_size=None) -> Tensor
    TORCH_API inline at::Tensor repeat_interleave(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) {
        return at::_ops::repeat_interleave_self_Tensor::redispatch(dispatchKeySet, self, repeats, dim, output_size);
    }
    
    // aten::repeat_interleave.self_int(Tensor self, int repeats, int? dim=None, *, int? output_size=None) -> Tensor
    TORCH_API inline at::Tensor repeat_interleave(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) {
        return at::_ops::repeat_interleave_self_int::redispatch(dispatchKeySet, self, repeats, dim, output_size);
    }
    
    // aten::reshape(Tensor(a) self, int[] shape) -> Tensor(a)
    TORCH_API inline at::Tensor reshape(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shape) {
        return at::_ops::reshape::redispatch(dispatchKeySet, self, shape);
    }
    
    // aten::_reshape_alias(Tensor(a) self, int[] size, int[] stride) -> Tensor(a)
    TORCH_API inline at::Tensor _reshape_alias(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride) {
        return at::_ops::_reshape_alias::redispatch(dispatchKeySet, self, size, stride);
    }
    
    // aten::_mkldnn_reshape(Tensor self, int[] shape) -> Tensor
    TORCH_API inline at::Tensor _mkldnn_reshape(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shape) {
        return at::_ops::_mkldnn_reshape::redispatch(dispatchKeySet, self, shape);
    }
    
    // aten::reshape_as(Tensor(a) self, Tensor other) -> Tensor(a)
    TORCH_API inline at::Tensor reshape_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::reshape_as::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::round(Tensor self) -> Tensor
    TORCH_API inline at::Tensor round(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::round::redispatch(dispatchKeySet, self);
    }
    
    // aten::round_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & round_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::round_::redispatch(dispatchKeySet, self);
    }
    
    // aten::round.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & round_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::round_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::round.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & round_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::round_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::rrelu(Tensor self, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor rrelu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::rrelu::redispatch(dispatchKeySet, self, lower, upper, training, generator);
    }
    
    // aten::rrelu_(Tensor(a!) self, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & rrelu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::rrelu_::redispatch(dispatchKeySet, self, lower, upper, training, generator);
    }
    
    // aten::relu(Tensor self) -> Tensor
    TORCH_API inline at::Tensor relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::relu::redispatch(dispatchKeySet, self);
    }
    
    // aten::relu_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::relu_::redispatch(dispatchKeySet, self);
    }
    
    // aten::relu6(Tensor self) -> Tensor
    TORCH_API inline at::Tensor relu6(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::relu6::redispatch(dispatchKeySet, self);
    }
    
    // aten::relu6_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & relu6_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::relu6_::redispatch(dispatchKeySet, self);
    }
    
    // aten::prelu(Tensor self, Tensor weight) -> Tensor
    TORCH_API inline at::Tensor prelu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight) {
        return at::_ops::prelu::redispatch(dispatchKeySet, self, weight);
    }
    
    // aten::prelu_backward(Tensor grad_output, Tensor self, Tensor weight) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> prelu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight) {
        return at::_ops::prelu_backward::redispatch(dispatchKeySet, grad_output, self, weight);
    }
    
    // aten::gelu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gelu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::gelu_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::gelu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gelu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::gelu_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::gelu(Tensor self) -> Tensor
    TORCH_API inline at::Tensor gelu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::gelu::redispatch(dispatchKeySet, self);
    }
    
    // aten::gelu_backward.grad_input(Tensor grad, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & gelu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad, const at::Tensor & self) {
        return at::_ops::gelu_backward_grad_input::redispatch(dispatchKeySet, grad, self, grad_input);
    }
    
    // aten::gelu_backward.grad_input(Tensor grad, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & gelu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, at::Tensor & grad_input) {
        return at::_ops::gelu_backward_grad_input::redispatch(dispatchKeySet, grad, self, grad_input);
    }
    
    // aten::gelu_backward(Tensor grad, Tensor self) -> Tensor
    TORCH_API inline at::Tensor gelu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self) {
        return at::_ops::gelu_backward::redispatch(dispatchKeySet, grad, self);
    }
    
    // aten::infinitely_differentiable_gelu_backward(Tensor grad, Tensor self) -> Tensor
    TORCH_API inline at::Tensor infinitely_differentiable_gelu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self) {
        return at::_ops::infinitely_differentiable_gelu_backward::redispatch(dispatchKeySet, grad, self);
    }
    
    // aten::hardshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardshrink_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & lambd=0.5) {
        return at::_ops::hardshrink_out::redispatch(dispatchKeySet, self, lambd, out);
    }
    
    // aten::hardshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardshrink_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & out) {
        return at::_ops::hardshrink_out::redispatch(dispatchKeySet, self, lambd, out);
    }
    
    // aten::hardshrink(Tensor self, Scalar lambd=0.5) -> Tensor
    TORCH_API inline at::Tensor hardshrink(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd=0.5) {
        return at::_ops::hardshrink::redispatch(dispatchKeySet, self, lambd);
    }
    
    // aten::hardshrink_backward.grad_input(Tensor grad_out, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardshrink_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd) {
        return at::_ops::hardshrink_backward_grad_input::redispatch(dispatchKeySet, grad_out, self, lambd, grad_input);
    }
    
    // aten::hardshrink_backward.grad_input(Tensor grad_out, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardshrink_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & grad_input) {
        return at::_ops::hardshrink_backward_grad_input::redispatch(dispatchKeySet, grad_out, self, lambd, grad_input);
    }
    
    // aten::hardshrink_backward(Tensor grad_out, Tensor self, Scalar lambd) -> Tensor
    TORCH_API inline at::Tensor hardshrink_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd) {
        return at::_ops::hardshrink_backward::redispatch(dispatchKeySet, grad_out, self, lambd);
    }
    
    // aten::rsqrt(Tensor self) -> Tensor
    TORCH_API inline at::Tensor rsqrt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::rsqrt::redispatch(dispatchKeySet, self);
    }
    
    // aten::rsqrt_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & rsqrt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::rsqrt_::redispatch(dispatchKeySet, self);
    }
    
    // aten::rsqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rsqrt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::rsqrt_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::rsqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rsqrt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::rsqrt_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::select.Dimname(Tensor(a) self, Dimname dim, int index) -> Tensor(a)
    TORCH_API inline at::Tensor select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, int64_t index) {
        return at::_ops::select_Dimname::redispatch(dispatchKeySet, self, dim, index);
    }
    
    // aten::select.int(Tensor(a) self, int dim, int index) -> Tensor(a)
    TORCH_API inline at::Tensor select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t index) {
        return at::_ops::select_int::redispatch(dispatchKeySet, self, dim, index);
    }
    
    // aten::select_backward(Tensor grad_output, int[] input_sizes, int dim, int index) -> Tensor
    TORCH_API inline at::Tensor select_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t index) {
        return at::_ops::select_backward::redispatch(dispatchKeySet, grad_output, input_sizes, dim, index);
    }
    
    // aten::selu(Tensor self) -> Tensor
    TORCH_API inline at::Tensor selu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::selu::redispatch(dispatchKeySet, self);
    }
    
    // aten::selu_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & selu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::selu_::redispatch(dispatchKeySet, self);
    }
    
    // aten::celu(Tensor self, Scalar alpha=1.0) -> Tensor
    TORCH_API inline at::Tensor celu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha=1.0) {
        return at::_ops::celu::redispatch(dispatchKeySet, self, alpha);
    }
    
    // aten::celu_(Tensor(a!) self, Scalar alpha=1.0) -> Tensor(a!)
    TORCH_API inline at::Tensor & celu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & alpha=1.0) {
        return at::_ops::celu_::redispatch(dispatchKeySet, self, alpha);
    }
    
    // aten::silu(Tensor self) -> Tensor
    TORCH_API inline at::Tensor silu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::silu::redispatch(dispatchKeySet, self);
    }
    
    // aten::silu_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & silu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::silu_::redispatch(dispatchKeySet, self);
    }
    
    // aten::silu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & silu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::silu_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::silu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & silu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::silu_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::silu_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & silu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::silu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input);
    }
    
    // aten::silu_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & silu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input) {
        return at::_ops::silu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input);
    }
    
    // aten::silu_backward(Tensor grad_output, Tensor self) -> Tensor
    TORCH_API inline at::Tensor silu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::silu_backward::redispatch(dispatchKeySet, grad_output, self);
    }
    
    // aten::mish(Tensor self) -> Tensor
    TORCH_API inline at::Tensor mish(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::mish::redispatch(dispatchKeySet, self);
    }
    
    // aten::mish_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & mish_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::mish_::redispatch(dispatchKeySet, self);
    }
    
    // aten::mish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mish_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::mish_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::mish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mish_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::mish_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::mish_backward(Tensor grad_output, Tensor self) -> Tensor
    TORCH_API inline at::Tensor mish_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::mish_backward::redispatch(dispatchKeySet, grad_output, self);
    }
    
    // aten::sigmoid(Tensor self) -> Tensor
    TORCH_API inline at::Tensor sigmoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sigmoid::redispatch(dispatchKeySet, self);
    }
    
    // aten::sigmoid_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & sigmoid_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::sigmoid_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sigmoid_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::sigmoid_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sigmoid_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::sigmoid_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::logit(Tensor self, float? eps=None) -> Tensor
    TORCH_API inline at::Tensor logit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) {
        return at::_ops::logit::redispatch(dispatchKeySet, self, eps);
    }
    
    // aten::logit_(Tensor(a!) self, float? eps=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & logit_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<double> eps=c10::nullopt) {
        return at::_ops::logit_::redispatch(dispatchKeySet, self, eps);
    }
    
    // aten::logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) {
        return at::_ops::logit_out::redispatch(dispatchKeySet, self, eps, out);
    }
    
    // aten::logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & logit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps, at::Tensor & out) {
        return at::_ops::logit_out::redispatch(dispatchKeySet, self, eps, out);
    }
    
    // aten::sin(Tensor self) -> Tensor
    TORCH_API inline at::Tensor sin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sin::redispatch(dispatchKeySet, self);
    }
    
    // aten::sin_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & sin_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::sin_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::sin_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::sin_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sinc(Tensor self) -> Tensor
    TORCH_API inline at::Tensor sinc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sinc::redispatch(dispatchKeySet, self);
    }
    
    // aten::sinc_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & sinc_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::sinc_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sinc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::sinc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sinc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::sinc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sinh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor sinh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sinh::redispatch(dispatchKeySet, self);
    }
    
    // aten::sinh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & sinh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::sinh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sinh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::sinh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sinh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::sinh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::detach(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor detach(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::detach::redispatch(dispatchKeySet, self);
    }
    
    // aten::detach_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & detach_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::detach_::redispatch(dispatchKeySet, self);
    }
    
    // aten::size.int(Tensor self, int dim) -> int
    TORCH_API inline int64_t __dispatch_size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::size_int::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::size.Dimname(Tensor self, Dimname dim) -> int
    TORCH_API inline int64_t size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::size_Dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::slice.Tensor(Tensor(a) self, int dim=0, int? start=None, int? end=None, int step=1) -> Tensor(a)
    TORCH_API inline at::Tensor slice(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) {
        return at::_ops::slice_Tensor::redispatch(dispatchKeySet, self, dim, start, end, step);
    }
    
    // aten::slice_backward(Tensor grad_output, int[] input_sizes, int dim, int start, int end, int step) -> Tensor
    TORCH_API inline at::Tensor slice_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t start, int64_t end, int64_t step) {
        return at::_ops::slice_backward::redispatch(dispatchKeySet, grad_output, input_sizes, dim, start, end, step);
    }
    
    // aten::slogdet(Tensor self) -> (Tensor sign, Tensor logabsdet)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> slogdet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::slogdet::redispatch(dispatchKeySet, self);
    }
    
    // aten::smm(Tensor self, Tensor mat2) -> Tensor
    TORCH_API inline at::Tensor smm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2) {
        return at::_ops::smm::redispatch(dispatchKeySet, self, mat2);
    }
    
    // aten::softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::softmax_int::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor
    TORCH_API inline at::Tensor _softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) {
        return at::_ops::_softmax::redispatch(dispatchKeySet, self, dim, half_to_float);
    }
    
    // aten::_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) {
        return at::_ops::_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out);
    }
    
    // aten::_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) {
        return at::_ops::_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out);
    }
    
    // aten::_softmax_backward_data(Tensor grad_output, Tensor output, int dim, Tensor self) -> Tensor
    TORCH_API inline at::Tensor _softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) {
        return at::_ops::_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, self);
    }
    
    // aten::_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & _softmax_backward_data_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) {
        return at::_ops::_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, grad_input);
    }
    
    // aten::_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & _softmax_backward_data_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self, at::Tensor & grad_input) {
        return at::_ops::_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, grad_input);
    }
    
    // aten::unsafe_split.Tensor(Tensor self, int split_size, int dim=0) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> unsafe_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t split_size, int64_t dim=0) {
        return at::_ops::unsafe_split_Tensor::redispatch(dispatchKeySet, self, split_size, dim);
    }
    
    // aten::split.Tensor(Tensor(a) self, int split_size, int dim=0) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t split_size, int64_t dim=0) {
        return at::_ops::split_Tensor::redispatch(dispatchKeySet, self, split_size, dim);
    }
    
    // aten::unsafe_split_with_sizes(Tensor self, int[] split_sizes, int dim=0) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> unsafe_split_with_sizes(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim=0) {
        return at::_ops::unsafe_split_with_sizes::redispatch(dispatchKeySet, self, split_sizes, dim);
    }
    
    // aten::split_with_sizes(Tensor(a) self, int[] split_sizes, int dim=0) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> split_with_sizes(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim=0) {
        return at::_ops::split_with_sizes::redispatch(dispatchKeySet, self, split_sizes, dim);
    }
    
    // aten::hsplit.int(Tensor(a) self, int sections) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> hsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections) {
        return at::_ops::hsplit_int::redispatch(dispatchKeySet, self, sections);
    }
    
    // aten::hsplit.array(Tensor(a) self, int[] indices) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> hsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices) {
        return at::_ops::hsplit_array::redispatch(dispatchKeySet, self, indices);
    }
    
    // aten::vsplit.int(Tensor(a) self, int sections) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> vsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections) {
        return at::_ops::vsplit_int::redispatch(dispatchKeySet, self, sections);
    }
    
    // aten::vsplit.array(Tensor(a) self, int[] indices) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> vsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices) {
        return at::_ops::vsplit_array::redispatch(dispatchKeySet, self, indices);
    }
    
    // aten::dsplit.int(Tensor(a) self, int sections) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> dsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections) {
        return at::_ops::dsplit_int::redispatch(dispatchKeySet, self, sections);
    }
    
    // aten::dsplit.array(Tensor(a) self, int[] indices) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> dsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices) {
        return at::_ops::dsplit_array::redispatch(dispatchKeySet, self, indices);
    }
    
    // aten::squeeze(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor squeeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::squeeze::redispatch(dispatchKeySet, self);
    }
    
    // aten::squeeze.dim(Tensor(a) self, int dim) -> Tensor(a)
    TORCH_API inline at::Tensor squeeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::squeeze_dim::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::squeeze.dimname(Tensor(a) self, Dimname dim) -> Tensor(a)
    TORCH_API inline at::Tensor squeeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::squeeze_dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::squeeze_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & squeeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::squeeze_::redispatch(dispatchKeySet, self);
    }
    
    // aten::squeeze_.dim(Tensor(a!) self, int dim) -> Tensor(a!)
    TORCH_API inline at::Tensor & squeeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim) {
        return at::_ops::squeeze__dim::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::squeeze_.dimname(Tensor(a!) self, Dimname dim) -> Tensor(a!)
    TORCH_API inline at::Tensor & squeeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim) {
        return at::_ops::squeeze__dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::sspaddmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor sspaddmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::sspaddmm::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha);
    }
    
    // aten::sspaddmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sspaddmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::sspaddmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out);
    }
    
    // aten::sspaddmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sspaddmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::sspaddmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out);
    }
    
    // aten::stack(Tensor[] tensors, int dim=0) -> Tensor
    TORCH_API inline at::Tensor stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::stack::redispatch(dispatchKeySet, tensors, dim);
    }
    
    // aten::stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::stack_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) {
        return at::_ops::stack_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::_stack(Tensor[] tensors, int dim=0) -> Tensor
    TORCH_API inline at::Tensor _stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::_stack::redispatch(dispatchKeySet, tensors, dim);
    }
    
    // aten::_stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::_stack_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::_stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) {
        return at::_ops::_stack_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::hstack(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor hstack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::hstack::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::hstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hstack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) {
        return at::_ops::hstack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::hstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hstack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) {
        return at::_ops::hstack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::vstack(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor vstack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::vstack::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::vstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & vstack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) {
        return at::_ops::vstack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::vstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & vstack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) {
        return at::_ops::vstack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::dstack(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor dstack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::dstack::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::dstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & dstack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) {
        return at::_ops::dstack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::dstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & dstack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) {
        return at::_ops::dstack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::stft(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool normalized=False, bool? onesided=None, bool? return_complex=None) -> Tensor
    TORCH_API inline at::Tensor stft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n_fft, c10::optional<int64_t> hop_length=c10::nullopt, c10::optional<int64_t> win_length=c10::nullopt, const c10::optional<at::Tensor> & window={}, bool normalized=false, c10::optional<bool> onesided=c10::nullopt, c10::optional<bool> return_complex=c10::nullopt) {
        return at::_ops::stft::redispatch(dispatchKeySet, self, n_fft, hop_length, win_length, window, normalized, onesided, return_complex);
    }
    
    // aten::istft(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool center=True, bool normalized=False, bool? onesided=None, int? length=None, bool return_complex=False) -> Tensor
    TORCH_API inline at::Tensor istft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n_fft, c10::optional<int64_t> hop_length=c10::nullopt, c10::optional<int64_t> win_length=c10::nullopt, const c10::optional<at::Tensor> & window={}, bool center=true, bool normalized=false, c10::optional<bool> onesided=c10::nullopt, c10::optional<int64_t> length=c10::nullopt, bool return_complex=false) {
        return at::_ops::istft::redispatch(dispatchKeySet, self, n_fft, hop_length, win_length, window, center, normalized, onesided, length, return_complex);
    }
    
    // aten::stride.int(Tensor self, int dim) -> int
    TORCH_API inline int64_t __dispatch_stride(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::stride_int::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::stride.Dimname(Tensor self, Dimname dim) -> int
    TORCH_API inline int64_t stride(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::stride_Dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::sum::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::sum.dim_IntList(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::sum_dim_IntList::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::sum.dim_DimnameList(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::sum_dim_DimnameList::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::sum.IntList_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::sum_IntList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::sum.IntList_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::sum_IntList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::sum_DimnameList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::sum_DimnameList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::nansum(Tensor self, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor nansum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::nansum::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::nansum.dim_IntList(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor nansum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::nansum_dim_IntList::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::nansum.IntList_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nansum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::nansum_IntList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::nansum.IntList_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nansum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::nansum_IntList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::sum_to_size(Tensor self, int[] size) -> Tensor
    TORCH_API inline at::Tensor sum_to_size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) {
        return at::_ops::sum_to_size::redispatch(dispatchKeySet, self, size);
    }
    
    // aten::sqrt(Tensor self) -> Tensor
    TORCH_API inline at::Tensor sqrt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sqrt::redispatch(dispatchKeySet, self);
    }
    
    // aten::sqrt_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & sqrt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::sqrt_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sqrt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::sqrt_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sqrt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::sqrt_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::square(Tensor self) -> Tensor
    TORCH_API inline at::Tensor square(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::square::redispatch(dispatchKeySet, self);
    }
    
    // aten::square_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & square_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::square_::redispatch(dispatchKeySet, self);
    }
    
    // aten::square.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & square_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::square_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::square.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & square_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::square_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::std(Tensor self, bool unbiased=True) -> Tensor
    TORCH_API inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased=true) {
        return at::_ops::std::redispatch(dispatchKeySet, self, unbiased);
    }
    
    // aten::std.dim(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::std_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::std.correction(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::std_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::std_mean(Tensor self, bool unbiased=True) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased=true) {
        return at::_ops::std_mean::redispatch(dispatchKeySet, self, unbiased);
    }
    
    // aten::std_mean.dim(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::std_mean_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::std_mean.correction(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::std_mean_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::std_mean.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::std_mean_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::std_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::std_mean_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::std.out(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::std_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::std.out(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) {
        return at::_ops::std_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::std.correction_out(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::std_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::std.correction_out(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) {
        return at::_ops::std_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::std.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::std_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::std.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::std_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::std.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) {
        return at::_ops::std_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::std.correction_names(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::std_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::std_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) {
        return at::_ops::std_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::prod(Tensor self, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor prod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::prod::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::prod.dim_int(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor prod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::prod_dim_int::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::prod.int_out(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & prod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::prod_int_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::prod.int_out(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & prod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::prod_int_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::prod.dim_Dimname(Tensor self, Dimname dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor prod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::prod_dim_Dimname::redispatch(dispatchKeySet, self, dim, keepdim, dtype);
    }
    
    // aten::prod.Dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & prod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::prod_Dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::prod.Dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & prod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::prod_Dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out);
    }
    
    // aten::t(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor t(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::t::redispatch(dispatchKeySet, self);
    }
    
    // aten::t_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & t_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::t_::redispatch(dispatchKeySet, self);
    }
    
    // aten::tan(Tensor self) -> Tensor
    TORCH_API inline at::Tensor tan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::tan::redispatch(dispatchKeySet, self);
    }
    
    // aten::tan_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & tan_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::tan_::redispatch(dispatchKeySet, self);
    }
    
    // aten::tan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tan_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::tan_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::tan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tan_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::tan_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::tanh(Tensor self) -> Tensor
    TORCH_API inline at::Tensor tanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::tanh::redispatch(dispatchKeySet, self);
    }
    
    // aten::tanh_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & tanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::tanh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::tanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::tanh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::tanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::tanh_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::tensordot(Tensor self, Tensor other, int[] dims_self, int[] dims_other) -> Tensor
    TORCH_API inline at::Tensor tensordot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other) {
        return at::_ops::tensordot::redispatch(dispatchKeySet, self, other, dims_self, dims_other);
    }
    
    // aten::tensordot.out(Tensor self, Tensor other, int[] dims_self, int[] dims_other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tensordot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other) {
        return at::_ops::tensordot_out::redispatch(dispatchKeySet, self, other, dims_self, dims_other, out);
    }
    
    // aten::tensordot.out(Tensor self, Tensor other, int[] dims_self, int[] dims_other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tensordot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other, at::Tensor & out) {
        return at::_ops::tensordot_out::redispatch(dispatchKeySet, self, other, dims_self, dims_other, out);
    }
    
    // aten::threshold(Tensor self, Scalar threshold, Scalar value) -> Tensor
    TORCH_API inline at::Tensor threshold(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value) {
        return at::_ops::threshold::redispatch(dispatchKeySet, self, threshold, value);
    }
    
    // aten::threshold_(Tensor(a!) self, Scalar threshold, Scalar value) -> Tensor(a!)
    TORCH_API inline at::Tensor & threshold_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value) {
        return at::_ops::threshold_::redispatch(dispatchKeySet, self, threshold, value);
    }
    
    // aten::threshold.out(Tensor self, Scalar threshold, Scalar value, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & threshold_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value) {
        return at::_ops::threshold_out::redispatch(dispatchKeySet, self, threshold, value, out);
    }
    
    // aten::threshold.out(Tensor self, Scalar threshold, Scalar value, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & threshold_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value, at::Tensor & out) {
        return at::_ops::threshold_out::redispatch(dispatchKeySet, self, threshold, value, out);
    }
    
    // aten::threshold_backward.grad_input(Tensor grad_output, Tensor self, Scalar threshold, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & threshold_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold) {
        return at::_ops::threshold_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, threshold, grad_input);
    }
    
    // aten::threshold_backward.grad_input(Tensor grad_output, Tensor self, Scalar threshold, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & threshold_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold, at::Tensor & grad_input) {
        return at::_ops::threshold_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, threshold, grad_input);
    }
    
    // aten::threshold_backward(Tensor grad_output, Tensor self, Scalar threshold) -> Tensor
    TORCH_API inline at::Tensor threshold_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold) {
        return at::_ops::threshold_backward::redispatch(dispatchKeySet, grad_output, self, threshold);
    }
    
    // aten::tile(Tensor self, int[] dims) -> Tensor
    TORCH_API inline at::Tensor tile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims) {
        return at::_ops::tile::redispatch(dispatchKeySet, self, dims);
    }
    
    // aten::transpose.int(Tensor(a) self, int dim0, int dim1) -> Tensor(a)
    TORCH_API inline at::Tensor transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1) {
        return at::_ops::transpose_int::redispatch(dispatchKeySet, self, dim0, dim1);
    }
    
    // aten::transpose.Dimname(Tensor(a) self, Dimname dim0, Dimname dim1) -> Tensor(a)
    TORCH_API inline at::Tensor transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim0, at::Dimname dim1) {
        return at::_ops::transpose_Dimname::redispatch(dispatchKeySet, self, dim0, dim1);
    }
    
    // aten::_mkldnn_transpose(Tensor self, int dim0, int dim1) -> Tensor
    TORCH_API inline at::Tensor _mkldnn_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1) {
        return at::_ops::_mkldnn_transpose::redispatch(dispatchKeySet, self, dim0, dim1);
    }
    
    // aten::transpose_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!)
    TORCH_API inline at::Tensor & transpose_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim0, int64_t dim1) {
        return at::_ops::transpose_::redispatch(dispatchKeySet, self, dim0, dim1);
    }
    
    // aten::_mkldnn_transpose_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!)
    TORCH_API inline at::Tensor & _mkldnn_transpose_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim0, int64_t dim1) {
        return at::_ops::_mkldnn_transpose_::redispatch(dispatchKeySet, self, dim0, dim1);
    }
    
    // aten::one_hot(Tensor self, int num_classes=-1) -> Tensor
    TORCH_API inline at::Tensor one_hot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t num_classes=-1) {
        return at::_ops::one_hot::redispatch(dispatchKeySet, self, num_classes);
    }
    
    // aten::flip(Tensor self, int[] dims) -> Tensor
    TORCH_API inline at::Tensor flip(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims) {
        return at::_ops::flip::redispatch(dispatchKeySet, self, dims);
    }
    
    // aten::fliplr(Tensor self) -> Tensor
    TORCH_API inline at::Tensor fliplr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::fliplr::redispatch(dispatchKeySet, self);
    }
    
    // aten::flipud(Tensor self) -> Tensor
    TORCH_API inline at::Tensor flipud(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::flipud::redispatch(dispatchKeySet, self);
    }
    
    // aten::roll(Tensor self, int[1] shifts, int[1] dims=[]) -> Tensor
    TORCH_API inline at::Tensor roll(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims={}) {
        return at::_ops::roll::redispatch(dispatchKeySet, self, shifts, dims);
    }
    
    // aten::rot90(Tensor self, int k=1, int[] dims=[0,1]) -> Tensor
    TORCH_API inline at::Tensor rot90(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k=1, at::IntArrayRef dims={0,1}) {
        return at::_ops::rot90::redispatch(dispatchKeySet, self, k, dims);
    }
    
    // aten::trapezoid.x(Tensor y, Tensor x, *, int dim=-1) -> Tensor
    TORCH_API inline at::Tensor trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Tensor & x, int64_t dim=-1) {
        return at::_ops::trapezoid_x::redispatch(dispatchKeySet, y, x, dim);
    }
    
    // aten::trapezoid.dx(Tensor y, *, Scalar dx=1, int dim=-1) -> Tensor
    TORCH_API inline at::Tensor trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Scalar & dx=1, int64_t dim=-1) {
        return at::_ops::trapezoid_dx::redispatch(dispatchKeySet, y, dx, dim);
    }
    
    // aten::trapz.x(Tensor y, Tensor x, *, int dim=-1) -> Tensor
    TORCH_API inline at::Tensor trapz(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Tensor & x, int64_t dim=-1) {
        return at::_ops::trapz_x::redispatch(dispatchKeySet, y, x, dim);
    }
    
    // aten::trapz.dx(Tensor y, *, float dx=1, int dim=-1) -> Tensor
    TORCH_API inline at::Tensor trapz(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, double dx=1, int64_t dim=-1) {
        return at::_ops::trapz_dx::redispatch(dispatchKeySet, y, dx, dim);
    }
    
    // aten::_trilinear(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1) -> Tensor
    TORCH_API inline at::Tensor _trilinear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & i1, const at::Tensor & i2, const at::Tensor & i3, at::IntArrayRef expand1, at::IntArrayRef expand2, at::IntArrayRef expand3, at::IntArrayRef sumdim, int64_t unroll_dim=1) {
        return at::_ops::_trilinear::redispatch(dispatchKeySet, i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim);
    }
    
    // aten::triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, float margin=1.0, float p=2, float eps=1e-06, bool swap=False, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor triplet_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & anchor, const at::Tensor & positive, const at::Tensor & negative, double margin=1.0, double p=2, double eps=1e-06, bool swap=false, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::triplet_margin_loss::redispatch(dispatchKeySet, anchor, positive, negative, margin, p, eps, swap, reduction);
    }
    
    // aten::trunc(Tensor self) -> Tensor
    TORCH_API inline at::Tensor trunc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::trunc::redispatch(dispatchKeySet, self);
    }
    
    // aten::trunc_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & trunc_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::trunc_::redispatch(dispatchKeySet, self);
    }
    
    // aten::trunc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & trunc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::trunc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::trunc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & trunc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::trunc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::fix(Tensor self) -> Tensor
    TORCH_API inline at::Tensor fix(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::fix::redispatch(dispatchKeySet, self);
    }
    
    // aten::fix_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & fix_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::fix_::redispatch(dispatchKeySet, self);
    }
    
    // aten::fix.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fix_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::fix_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::fix.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fix_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::fix_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::type_as(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor type_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::type_as::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> bool
    TORCH_API inline bool _has_compatible_shallow_copy_type(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & from) {
        return at::_ops::_has_compatible_shallow_copy_type::redispatch(dispatchKeySet, self, from);
    }
    
    // aten::_unique(Tensor self, bool sorted=True, bool return_inverse=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _unique(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted=true, bool return_inverse=false) {
        return at::_ops::_unique::redispatch(dispatchKeySet, self, sorted, return_inverse);
    }
    
    // aten::unique_dim(Tensor self, int dim, bool sorted=True, bool return_inverse=False, bool return_counts=False) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> unique_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool sorted=true, bool return_inverse=false, bool return_counts=false) {
        return at::_ops::unique_dim::redispatch(dispatchKeySet, self, dim, sorted, return_inverse, return_counts);
    }
    
    // aten::unique_consecutive(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> unique_consecutive(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool return_inverse=false, bool return_counts=false, c10::optional<int64_t> dim=c10::nullopt) {
        return at::_ops::unique_consecutive::redispatch(dispatchKeySet, self, return_inverse, return_counts, dim);
    }
    
    // aten::unique_dim_consecutive(Tensor self, int dim, bool return_inverse=False, bool return_counts=False) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> unique_dim_consecutive(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool return_inverse=false, bool return_counts=false) {
        return at::_ops::unique_dim_consecutive::redispatch(dispatchKeySet, self, dim, return_inverse, return_counts);
    }
    
    // aten::_unique2(Tensor self, bool sorted=True, bool return_inverse=False, bool return_counts=False) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _unique2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted=true, bool return_inverse=false, bool return_counts=false) {
        return at::_ops::_unique2::redispatch(dispatchKeySet, self, sorted, return_inverse, return_counts);
    }
    
    // aten::_unsafe_view(Tensor self, int[] size) -> Tensor
    TORCH_API inline at::Tensor _unsafe_view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) {
        return at::_ops::_unsafe_view::redispatch(dispatchKeySet, self, size);
    }
    
    // aten::unsqueeze(Tensor(a) self, int dim) -> Tensor(a)
    TORCH_API inline at::Tensor unsqueeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) {
        return at::_ops::unsqueeze::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::unsqueeze_(Tensor(a!) self, int dim) -> Tensor(a!)
    TORCH_API inline at::Tensor & unsqueeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim) {
        return at::_ops::unsqueeze_::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::vander(Tensor x, int? N=None, bool increasing=False) -> Tensor
    TORCH_API inline at::Tensor vander(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, c10::optional<int64_t> N=c10::nullopt, bool increasing=false) {
        return at::_ops::vander::redispatch(dispatchKeySet, x, N, increasing);
    }
    
    // aten::var(Tensor self, bool unbiased=True) -> Tensor
    TORCH_API inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased=true) {
        return at::_ops::var::redispatch(dispatchKeySet, self, unbiased);
    }
    
    // aten::var.dim(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::var_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::var.correction(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::var_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::var.out(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::var_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::var.out(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) {
        return at::_ops::var_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::var.correction_out(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::var_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::var.correction_out(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) {
        return at::_ops::var_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::var.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::var_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::var.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::var_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::var.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) {
        return at::_ops::var_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out);
    }
    
    // aten::var.correction_names(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::var_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::var_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) {
        return at::_ops::var_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out);
    }
    
    // aten::var_mean(Tensor self, bool unbiased=True) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased=true) {
        return at::_ops::var_mean::redispatch(dispatchKeySet, self, unbiased);
    }
    
    // aten::var_mean.dim(Tensor self, int[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::var_mean_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::var_mean.correction(Tensor self, int[1]? dim, *, int? correction, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::var_mean_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::var_mean.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased=true, bool keepdim=false) {
        return at::_ops::var_mean_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim);
    }
    
    // aten::var_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction, bool keepdim=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim=false) {
        return at::_ops::var_mean_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim);
    }
    
    // aten::view_as(Tensor(a) self, Tensor other) -> Tensor(a)
    TORCH_API inline at::Tensor view_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::view_as::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::where.self(Tensor condition, Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::where_self::redispatch(dispatchKeySet, condition, self, other);
    }
    
    // aten::where.ScalarSelf(Tensor condition, Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::where_ScalarSelf::redispatch(dispatchKeySet, condition, self, other);
    }
    
    // aten::where.ScalarOther(Tensor condition, Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::where_ScalarOther::redispatch(dispatchKeySet, condition, self, other);
    }
    
    // aten::where.Scalar(Tensor condition, Scalar self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Scalar & self, const at::Scalar & other) {
        return at::_ops::where_Scalar::redispatch(dispatchKeySet, condition, self, other);
    }
    
    // aten::where(Tensor condition) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition) {
        return at::_ops::where::redispatch(dispatchKeySet, condition);
    }
    
    // aten::_s_where(Tensor condition, Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor _s_where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::_s_where::redispatch(dispatchKeySet, condition, self, other);
    }
    
    // aten::norm_except_dim(Tensor v, int pow=2, int dim=0) -> Tensor
    TORCH_API inline at::Tensor norm_except_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & v, int64_t pow=2, int64_t dim=0) {
        return at::_ops::norm_except_dim::redispatch(dispatchKeySet, v, pow, dim);
    }
    
    // aten::_weight_norm(Tensor v, Tensor g, int dim=0) -> Tensor
    TORCH_API inline at::Tensor _weight_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & v, const at::Tensor & g, int64_t dim=0) {
        return at::_ops::_weight_norm::redispatch(dispatchKeySet, v, g, dim);
    }
    
    // aten::_weight_norm_cuda_interface(Tensor v, Tensor g, int dim=0) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _weight_norm_cuda_interface(c10::DispatchKeySet dispatchKeySet, const at::Tensor & v, const at::Tensor & g, int64_t dim=0) {
        return at::_ops::_weight_norm_cuda_interface::redispatch(dispatchKeySet, v, g, dim);
    }
    
    // aten::_weight_norm_cuda_interface_backward(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, int dim) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _weight_norm_cuda_interface_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim) {
        return at::_ops::_weight_norm_cuda_interface_backward::redispatch(dispatchKeySet, grad_w, saved_v, saved_g, saved_norms, dim);
    }
    
    // aten::_weight_norm_differentiable_backward(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, int dim) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _weight_norm_differentiable_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim) {
        return at::_ops::_weight_norm_differentiable_backward::redispatch(dispatchKeySet, grad_w, saved_v, saved_g, saved_norms, dim);
    }
    
    // aten::zeros.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
        return at::_ops::zeros_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::zeros.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::zeros_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory);
    }
    
    // aten::zeros(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::zeros::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::zeros(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::zeros::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory);
    }
    
    // aten::zeros.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & zeros_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) {
        return at::_ops::zeros_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::zeros.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & zeros_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) {
        return at::_ops::zeros_out::redispatch(dispatchKeySet, size, out);
    }
    
    // aten::zeros_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor zeros_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::zeros_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::zeros_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor zeros_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::zeros_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format);
    }
    
    // aten::_standard_gamma_grad(Tensor self, Tensor output) -> Tensor
    TORCH_API inline at::Tensor _standard_gamma_grad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & output) {
        return at::_ops::_standard_gamma_grad::redispatch(dispatchKeySet, self, output);
    }
    
    // aten::_standard_gamma(Tensor self, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor _standard_gamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::_standard_gamma::redispatch(dispatchKeySet, self, generator);
    }
    
    // aten::_dirichlet_grad(Tensor x, Tensor alpha, Tensor total) -> Tensor
    TORCH_API inline at::Tensor _dirichlet_grad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & alpha, const at::Tensor & total) {
        return at::_ops::_dirichlet_grad::redispatch(dispatchKeySet, x, alpha, total);
    }
    
    // aten::_sample_dirichlet(Tensor self, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor _sample_dirichlet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::_sample_dirichlet::redispatch(dispatchKeySet, self, generator);
    }
    
    // aten::poisson(Tensor self, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor poisson(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::poisson::redispatch(dispatchKeySet, self, generator);
    }
    
    // aten::binomial(Tensor count, Tensor prob, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor binomial(c10::DispatchKeySet dispatchKeySet, const at::Tensor & count, const at::Tensor & prob, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::binomial::redispatch(dispatchKeySet, count, prob, generator);
    }
    
    // aten::native_norm(Tensor self, Scalar p=2) -> Tensor
    TORCH_API inline at::Tensor native_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p=2) {
        return at::_ops::native_norm::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::native_norm.ScalarOpt_dim_dtype(Tensor self, Scalar? p, int[1] dim, bool keepdim, ScalarType? dtype) -> Tensor
    TORCH_API inline at::Tensor native_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) {
        return at::_ops::native_norm_ScalarOpt_dim_dtype::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype);
    }
    
    // aten::_sparse_sum(Tensor self) -> Tensor
    TORCH_API inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_sparse_sum::redispatch(dispatchKeySet, self);
    }
    
    // aten::_sparse_sum.dtype(Tensor self, *, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype) {
        return at::_ops::_sparse_sum_dtype::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::_sparse_sum.dim(Tensor self, int[1] dim) -> Tensor
    TORCH_API inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim) {
        return at::_ops::_sparse_sum_dim::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::_sparse_sum.dim_dtype(Tensor self, int[1] dim, *, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, at::ScalarType dtype) {
        return at::_ops::_sparse_sum_dim_dtype::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::_sparse_sum_backward(Tensor grad, Tensor self, int[] dim) -> Tensor
    TORCH_API inline at::Tensor _sparse_sum_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, at::IntArrayRef dim) {
        return at::_ops::_sparse_sum_backward::redispatch(dispatchKeySet, grad, self, dim);
    }
    
    // aten::_sparse_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::_sparse_softmax_int::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::_sparse_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::_sparse_softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::_sparse_softmax(Tensor self, int dim, bool half_to_float) -> Tensor
    TORCH_API inline at::Tensor _sparse_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) {
        return at::_ops::_sparse_softmax::redispatch(dispatchKeySet, self, dim, half_to_float);
    }
    
    // aten::_sparse_softmax_backward_data(Tensor grad_output, Tensor output, int dim, Tensor self) -> Tensor
    TORCH_API inline at::Tensor _sparse_softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) {
        return at::_ops::_sparse_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, self);
    }
    
    // aten::_sparse_log_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::_sparse_log_softmax_int::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::_sparse_log_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::_sparse_log_softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::_sparse_log_softmax(Tensor self, int dim, bool half_to_float) -> Tensor
    TORCH_API inline at::Tensor _sparse_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) {
        return at::_ops::_sparse_log_softmax::redispatch(dispatchKeySet, self, dim, half_to_float);
    }
    
    // aten::_sparse_log_softmax_backward_data(Tensor grad_output, Tensor output, int dim, Tensor self) -> Tensor
    TORCH_API inline at::Tensor _sparse_log_softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) {
        return at::_ops::_sparse_log_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, self);
    }
    
    // aten::norm.ScalarOpt_dtype(Tensor self, Scalar? p, *, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::ScalarType dtype) {
        return at::_ops::norm_ScalarOpt_dtype::redispatch(dispatchKeySet, self, p, dtype);
    }
    
    // aten::norm.Scalar(Tensor self, Scalar p=2) -> Tensor
    TORCH_API inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p=2) {
        return at::_ops::norm_Scalar::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::norm.ScalarOpt_dim_dtype(Tensor self, Scalar? p, int[1] dim, bool keepdim, *, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype) {
        return at::_ops::norm_ScalarOpt_dim_dtype::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype);
    }
    
    // aten::norm.ScalarOpt_dim(Tensor self, Scalar? p, int[1] dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::norm_ScalarOpt_dim::redispatch(dispatchKeySet, self, p, dim, keepdim);
    }
    
    // aten::norm.dtype_out(Tensor self, Scalar? p, int[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype) {
        return at::_ops::norm_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out);
    }
    
    // aten::norm.dtype_out(Tensor self, Scalar? p, int[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype, at::Tensor & out) {
        return at::_ops::norm_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out);
    }
    
    // aten::norm.out(Tensor self, Scalar? p, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::norm_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out);
    }
    
    // aten::norm.out(Tensor self, Scalar? p, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::Tensor & out) {
        return at::_ops::norm_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out);
    }
    
    // aten::norm.names_ScalarOpt_dim_dtype(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim, *, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) {
        return at::_ops::norm_names_ScalarOpt_dim_dtype::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype);
    }
    
    // aten::norm.names_ScalarOpt_dim(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim=false) {
        return at::_ops::norm_names_ScalarOpt_dim::redispatch(dispatchKeySet, self, p, dim, keepdim);
    }
    
    // aten::norm.names_dtype_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) {
        return at::_ops::norm_names_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out);
    }
    
    // aten::norm.names_dtype_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype, at::Tensor & out) {
        return at::_ops::norm_names_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out);
    }
    
    // aten::norm.names_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim=false) {
        return at::_ops::norm_names_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out);
    }
    
    // aten::norm.names_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::Tensor & out) {
        return at::_ops::norm_names_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out);
    }
    
    // aten::frexp.Tensor(Tensor self) -> (Tensor mantissa, Tensor exponent)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> frexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::frexp_Tensor::redispatch(dispatchKeySet, self);
    }
    
    // aten::frexp.Tensor_out(Tensor self, *, Tensor(a!) mantissa, Tensor(b!) exponent) -> (Tensor(a!) mantissa, Tensor(b!) exponent)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> frexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & mantissa, at::Tensor & exponent, const at::Tensor & self) {
        return at::_ops::frexp_Tensor_out::redispatch(dispatchKeySet, self, mantissa, exponent);
    }
    
    // aten::frexp.Tensor_out(Tensor self, *, Tensor(a!) mantissa, Tensor(b!) exponent) -> (Tensor(a!) mantissa, Tensor(b!) exponent)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> frexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & mantissa, at::Tensor & exponent) {
        return at::_ops::frexp_Tensor_out::redispatch(dispatchKeySet, self, mantissa, exponent);
    }
    
    // aten::frobenius_norm(Tensor self) -> Tensor
    TORCH_API inline at::Tensor frobenius_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::frobenius_norm::redispatch(dispatchKeySet, self);
    }
    
    // aten::frobenius_norm.dim(Tensor self, int[1] dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor frobenius_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::frobenius_norm_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::frobenius_norm.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & frobenius_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::frobenius_norm_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::frobenius_norm.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & frobenius_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) {
        return at::_ops::frobenius_norm_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::nuclear_norm(Tensor self, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor nuclear_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool keepdim=false) {
        return at::_ops::nuclear_norm::redispatch(dispatchKeySet, self, keepdim);
    }
    
    // aten::nuclear_norm.out(Tensor self, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nuclear_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool keepdim=false) {
        return at::_ops::nuclear_norm_out::redispatch(dispatchKeySet, self, keepdim, out);
    }
    
    // aten::nuclear_norm.out(Tensor self, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nuclear_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool keepdim, at::Tensor & out) {
        return at::_ops::nuclear_norm_out::redispatch(dispatchKeySet, self, keepdim, out);
    }
    
    // aten::nuclear_norm.dim(Tensor self, int[2] dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor nuclear_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::nuclear_norm_dim::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::nuclear_norm.dim_out(Tensor self, int[2] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nuclear_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::nuclear_norm_dim_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::nuclear_norm.dim_out(Tensor self, int[2] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nuclear_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) {
        return at::_ops::nuclear_norm_dim_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor clone(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::clone::redispatch(dispatchKeySet, self, memory_format);
    }
    
    // aten::positive(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor positive(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::positive::redispatch(dispatchKeySet, self);
    }
    
    // aten::resize_as_(Tensor(a!) self, Tensor the_template, *, MemoryFormat? memory_format=None) -> Tensor(a!)
    TORCH_API inline const at::Tensor & resize_as_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::resize_as_::redispatch(dispatchKeySet, self, the_template, memory_format);
    }
    
    // aten::resize_as_sparse_(Tensor(a!) self, Tensor the_template) -> Tensor(a!)
    TORCH_API inline const at::Tensor & resize_as_sparse_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template) {
        return at::_ops::resize_as_sparse_::redispatch(dispatchKeySet, self, the_template);
    }
    
    // aten::zero_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & zero_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::zero_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sub.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sub_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::sub_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::sub.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sub_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::sub_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::sub.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor sub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::sub_Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::sub_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & sub_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::sub__Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::sub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor sub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::sub_Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::sub_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & sub_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::sub__Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::subtract.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & subtract_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::subtract_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::subtract.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & subtract_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::subtract_out::redispatch(dispatchKeySet, self, other, alpha, out);
    }
    
    // aten::subtract.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor subtract(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::subtract_Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::subtract_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & subtract_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::subtract__Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::subtract.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor subtract(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::subtract_Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::subtract_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & subtract_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::subtract__Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::rsub.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor rsub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::rsub_Tensor::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::heaviside.out(Tensor self, Tensor values, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & heaviside_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & values) {
        return at::_ops::heaviside_out::redispatch(dispatchKeySet, self, values, out);
    }
    
    // aten::heaviside.out(Tensor self, Tensor values, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & heaviside_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & values, at::Tensor & out) {
        return at::_ops::heaviside_out::redispatch(dispatchKeySet, self, values, out);
    }
    
    // aten::heaviside(Tensor self, Tensor values) -> Tensor
    TORCH_API inline at::Tensor heaviside(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & values) {
        return at::_ops::heaviside::redispatch(dispatchKeySet, self, values);
    }
    
    // aten::heaviside_(Tensor(a!) self, Tensor values) -> Tensor(a!)
    TORCH_API inline at::Tensor & heaviside_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & values) {
        return at::_ops::heaviside_::redispatch(dispatchKeySet, self, values);
    }
    
    // aten::rsub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor rsub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) {
        return at::_ops::rsub_Scalar::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::_sparse_addmm(Tensor self, Tensor sparse, Tensor dense, *, Scalar beta=1, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor _sparse_addmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & sparse, const at::Tensor & dense, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::_sparse_addmm::redispatch(dispatchKeySet, self, sparse, dense, beta, alpha);
    }
    
    // aten::addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out);
    }
    
    // aten::addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out);
    }
    
    // aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor addmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addmm::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha);
    }
    
    // aten::addmm_(Tensor(a!) self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & addmm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addmm_::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha);
    }
    
    // aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) {
        return at::_ops::sparse_csr_tensor_crow_col_value_size::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::sparse_csr_tensor_crow_col_value_size::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, dtype, layout, device, pin_memory);
    }
    
    // aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::TensorOptions options) {
        return at::_ops::sparse_csr_tensor_crow_col_value::redispatch(dispatchKeySet, crow_indices, col_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::sparse_csr_tensor_crow_col_value::redispatch(dispatchKeySet, crow_indices, col_indices, values, dtype, layout, device, pin_memory);
    }
    
    // aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_csr_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::_sparse_csr_tensor_unsafe::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_csr_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::_sparse_csr_tensor_unsafe::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, dtype, layout, device, pin_memory);
    }
    
    // aten::sparse_coo_tensor.size(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options) {
        return at::_ops::sparse_coo_tensor_size::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::sparse_coo_tensor.size(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::sparse_coo_tensor_size::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory);
    }
    
    // aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::TensorOptions options={}) {
        return at::_ops::sparse_coo_tensor_indices::redispatch(dispatchKeySet, indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::sparse_coo_tensor_indices::redispatch(dispatchKeySet, indices, values, dtype, layout, device, pin_memory);
    }
    
    // aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::sparse_coo_tensor_indices_size::redispatch(dispatchKeySet, indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::sparse_coo_tensor_indices_size::redispatch(dispatchKeySet, indices, values, size, dtype, layout, device, pin_memory);
    }
    
    // aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_coo_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) {
        return at::_ops::_sparse_coo_tensor_unsafe::redispatch(dispatchKeySet, indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor _sparse_coo_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::_sparse_coo_tensor_unsafe::redispatch(dispatchKeySet, indices, values, size, dtype, layout, device, pin_memory);
    }
    
    // aten::_validate_sparse_coo_tensor_args(Tensor indices, Tensor values, int[] size) -> ()
    TORCH_API inline void _validate_sparse_coo_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size) {
        return at::_ops::_validate_sparse_coo_tensor_args::redispatch(dispatchKeySet, indices, values, size);
    }
    
    // aten::_validate_sparse_csr_tensor_args(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size) -> ()
    TORCH_API inline void _validate_sparse_csr_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) {
        return at::_ops::_validate_sparse_csr_tensor_args::redispatch(dispatchKeySet, crow_indices, col_indices, values, size);
    }
    
    // aten::_sparse_coo_tensor_with_dims(int sparse_dim, int dense_dim, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor _sparse_coo_tensor_with_dims(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, at::TensorOptions options) {
        return at::_ops::_sparse_coo_tensor_with_dims::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::_sparse_coo_tensor_with_dims(int sparse_dim, int dense_dim, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor _sparse_coo_tensor_with_dims(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::_sparse_coo_tensor_with_dims::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, dtype, layout, device, pin_memory);
    }
    
    // aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, int[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values, at::TensorOptions options) {
        return at::_ops::_sparse_coo_tensor_with_dims_and_tensors::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, int[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
    TORCH_API inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::_sparse_coo_tensor_with_dims_and_tensors::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, indices, values, dtype, layout, device, pin_memory);
    }
    
    // aten::sparse_resize_(Tensor(a!) self, int[] size, int sparse_dim, int dense_dim) -> Tensor(a!)
    TORCH_API inline const at::Tensor & sparse_resize_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) {
        return at::_ops::sparse_resize_::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim);
    }
    
    // aten::sparse_resize_and_clear_(Tensor(a!) self, int[] size, int sparse_dim, int dense_dim) -> Tensor(a!)
    TORCH_API inline const at::Tensor & sparse_resize_and_clear_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) {
        return at::_ops::sparse_resize_and_clear_::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim);
    }
    
    // aten::sparse_mask(Tensor self, Tensor mask) -> Tensor
    TORCH_API inline at::Tensor sparse_mask(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask) {
        return at::_ops::sparse_mask::redispatch(dispatchKeySet, self, mask);
    }
    
    // aten::_to_cpu(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _to_cpu(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_to_cpu::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::to_dense(Tensor self, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor to_dense(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::to_dense::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::to_dense_backward(Tensor grad, Tensor input) -> Tensor
    TORCH_API inline at::Tensor to_dense_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input) {
        return at::_ops::to_dense_backward::redispatch(dispatchKeySet, grad, input);
    }
    
    // aten::sparse_dim(Tensor self) -> int
    TORCH_API inline int64_t sparse_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sparse_dim::redispatch(dispatchKeySet, self);
    }
    
    // aten::_dimI(Tensor self) -> int
    TORCH_API inline int64_t _dimI(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_dimI::redispatch(dispatchKeySet, self);
    }
    
    // aten::dense_dim(Tensor self) -> int
    TORCH_API inline int64_t dense_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::dense_dim::redispatch(dispatchKeySet, self);
    }
    
    // aten::_dimV(Tensor self) -> int
    TORCH_API inline int64_t _dimV(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_dimV::redispatch(dispatchKeySet, self);
    }
    
    // aten::_nnz(Tensor self) -> int
    TORCH_API inline int64_t _nnz(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_nnz::redispatch(dispatchKeySet, self);
    }
    
    // aten::coalesce(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor coalesce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::coalesce::redispatch(dispatchKeySet, self);
    }
    
    // aten::_coalesce(Tensor self) -> Tensor
    TORCH_API inline at::Tensor _coalesce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_coalesce::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_coalesced(Tensor self) -> bool
    TORCH_API inline bool is_coalesced(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::is_coalesced::redispatch(dispatchKeySet, self);
    }
    
    // aten::_indices(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor _indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_indices::redispatch(dispatchKeySet, self);
    }
    
    // aten::_values(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor _values(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_values::redispatch(dispatchKeySet, self);
    }
    
    // aten::_coalesced_(Tensor(a!) self, bool coalesced) -> Tensor(a!)
    TORCH_API inline at::Tensor & _coalesced_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, bool coalesced) {
        return at::_ops::_coalesced_::redispatch(dispatchKeySet, self, coalesced);
    }
    
    // aten::indices(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::indices::redispatch(dispatchKeySet, self);
    }
    
    // aten::values(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor values(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::values::redispatch(dispatchKeySet, self);
    }
    
    // aten::crow_indices(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor crow_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::crow_indices::redispatch(dispatchKeySet, self);
    }
    
    // aten::col_indices(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor col_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::col_indices::redispatch(dispatchKeySet, self);
    }
    
    // aten::hspmm.out(Tensor mat1, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hspmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & mat1, const at::Tensor & mat2) {
        return at::_ops::hspmm_out::redispatch(dispatchKeySet, mat1, mat2, out);
    }
    
    // aten::hspmm.out(Tensor mat1, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hspmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mat1, const at::Tensor & mat2, at::Tensor & out) {
        return at::_ops::hspmm_out::redispatch(dispatchKeySet, mat1, mat2, out);
    }
    
    // aten::hspmm(Tensor mat1, Tensor mat2) -> Tensor
    TORCH_API inline at::Tensor hspmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mat1, const at::Tensor & mat2) {
        return at::_ops::hspmm::redispatch(dispatchKeySet, mat1, mat2);
    }
    
    // aten::copy_sparse_to_sparse_(Tensor(a!) self, Tensor src, bool non_blocking=False) -> Tensor(a!)
    TORCH_API inline at::Tensor & copy_sparse_to_sparse_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & src, bool non_blocking=false) {
        return at::_ops::copy_sparse_to_sparse_::redispatch(dispatchKeySet, self, src, non_blocking);
    }
    
    // aten::unbind.int(Tensor(a) self, int dim=0) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> unbind(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0) {
        return at::_ops::unbind_int::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::unbind.Dimname(Tensor(a) self, Dimname dim) -> Tensor(a)[]
    TORCH_API inline ::std::vector<at::Tensor> unbind(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) {
        return at::_ops::unbind_Dimname::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::to_sparse.sparse_dim(Tensor self, int sparse_dim) -> Tensor
    TORCH_API inline at::Tensor to_sparse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sparse_dim) {
        return at::_ops::to_sparse_sparse_dim::redispatch(dispatchKeySet, self, sparse_dim);
    }
    
    // aten::to_sparse(Tensor self) -> Tensor
    TORCH_API inline at::Tensor to_sparse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::to_sparse::redispatch(dispatchKeySet, self);
    }
    
    // aten::to_mkldnn(Tensor self, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor to_mkldnn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::to_mkldnn::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::mkldnn_reorder_conv2d_weight(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor mkldnn_reorder_conv2d_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding=0, at::IntArrayRef stride=1, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::mkldnn_reorder_conv2d_weight::redispatch(dispatchKeySet, self, padding, stride, dilation, groups);
    }
    
    // aten::mkldnn_reorder_conv3d_weight(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1) -> Tensor
    TORCH_API inline at::Tensor mkldnn_reorder_conv3d_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding=0, at::IntArrayRef stride=1, at::IntArrayRef dilation=1, int64_t groups=1) {
        return at::_ops::mkldnn_reorder_conv3d_weight::redispatch(dispatchKeySet, self, padding, stride, dilation, groups);
    }
    
    // aten::to_mkldnn_backward(Tensor grad, Tensor input) -> Tensor
    TORCH_API inline at::Tensor to_mkldnn_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input) {
        return at::_ops::to_mkldnn_backward::redispatch(dispatchKeySet, grad, input);
    }
    
    // aten::quantize_per_tensor(Tensor self, float scale, int zero_point, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor quantize_per_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, at::ScalarType dtype) {
        return at::_ops::quantize_per_tensor::redispatch(dispatchKeySet, self, scale, zero_point, dtype);
    }
    
    // aten::quantize_per_tensor.tensor_qparams(Tensor self, Tensor scale, Tensor zero_point, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor quantize_per_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, at::ScalarType dtype) {
        return at::_ops::quantize_per_tensor_tensor_qparams::redispatch(dispatchKeySet, self, scale, zero_point, dtype);
    }
    
    // aten::quantize_per_tensor.tensors(Tensor[] tensors, Tensor scales, Tensor zero_points, ScalarType dtype) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> quantize_per_tensor(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, const at::Tensor & scales, const at::Tensor & zero_points, at::ScalarType dtype) {
        return at::_ops::quantize_per_tensor_tensors::redispatch(dispatchKeySet, tensors, scales, zero_points, dtype);
    }
    
    // aten::quantize_per_channel(Tensor self, Tensor scales, Tensor zero_points, int axis, ScalarType dtype) -> Tensor
    TORCH_API inline at::Tensor quantize_per_channel(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, at::ScalarType dtype) {
        return at::_ops::quantize_per_channel::redispatch(dispatchKeySet, self, scales, zero_points, axis, dtype);
    }
    
    // aten::dequantize.self(Tensor self) -> Tensor
    TORCH_API inline at::Tensor dequantize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::dequantize_self::redispatch(dispatchKeySet, self);
    }
    
    // aten::dequantize.tensors(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> dequantize(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::dequantize_tensors::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::q_scale(Tensor self) -> float
    TORCH_API inline double q_scale(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::q_scale::redispatch(dispatchKeySet, self);
    }
    
    // aten::q_zero_point(Tensor self) -> int
    TORCH_API inline int64_t q_zero_point(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::q_zero_point::redispatch(dispatchKeySet, self);
    }
    
    // aten::q_per_channel_scales(Tensor self) -> Tensor
    TORCH_API inline at::Tensor q_per_channel_scales(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::q_per_channel_scales::redispatch(dispatchKeySet, self);
    }
    
    // aten::q_per_channel_zero_points(Tensor self) -> Tensor
    TORCH_API inline at::Tensor q_per_channel_zero_points(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::q_per_channel_zero_points::redispatch(dispatchKeySet, self);
    }
    
    // aten::q_per_channel_axis(Tensor self) -> int
    TORCH_API inline int64_t q_per_channel_axis(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::q_per_channel_axis::redispatch(dispatchKeySet, self);
    }
    
    // aten::int_repr(Tensor self) -> Tensor
    TORCH_API inline at::Tensor int_repr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::int_repr::redispatch(dispatchKeySet, self);
    }
    
    // aten::_make_per_tensor_quantized_tensor(Tensor self, float scale, int zero_point) -> Tensor
    TORCH_API inline at::Tensor _make_per_tensor_quantized_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point) {
        return at::_ops::_make_per_tensor_quantized_tensor::redispatch(dispatchKeySet, self, scale, zero_point);
    }
    
    // aten::_make_per_channel_quantized_tensor(Tensor self, Tensor scale, Tensor zero_point, int axis) -> Tensor
    TORCH_API inline at::Tensor _make_per_channel_quantized_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis) {
        return at::_ops::_make_per_channel_quantized_tensor::redispatch(dispatchKeySet, self, scale, zero_point, axis);
    }
    
    // aten::qscheme(Tensor self) -> QScheme
    TORCH_API inline at::QScheme qscheme(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::qscheme::redispatch(dispatchKeySet, self);
    }
    
    // aten::fake_quantize_per_tensor_affine(Tensor self, float scale, int zero_point, int quant_min, int quant_max) -> Tensor
    TORCH_API inline at::Tensor fake_quantize_per_tensor_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) {
        return at::_ops::fake_quantize_per_tensor_affine::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max);
    }
    
    // aten::fake_quantize_per_tensor_affine.tensor_qparams(Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max) -> Tensor
    TORCH_API inline at::Tensor fake_quantize_per_tensor_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max) {
        return at::_ops::fake_quantize_per_tensor_affine_tensor_qparams::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max);
    }
    
    // aten::fake_quantize_per_tensor_affine_cachemask(Tensor self, float scale, int zero_point, int quant_min, int quant_max) -> (Tensor output, Tensor mask)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> fake_quantize_per_tensor_affine_cachemask(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) {
        return at::_ops::fake_quantize_per_tensor_affine_cachemask::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max);
    }
    
    // aten::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams(Tensor self, Tensor scale, Tensor zero_point, Tensor fake_quant_enabled, int quant_min, int quant_max) -> (Tensor output, Tensor mask)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _fake_quantize_per_tensor_affine_cachemask_tensor_qparams(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, const at::Tensor & fake_quant_enabled, int64_t quant_min, int64_t quant_max) {
        return at::_ops::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams::redispatch(dispatchKeySet, self, scale, zero_point, fake_quant_enabled, quant_min, quant_max);
    }
    
    // aten::fake_quantize_per_tensor_affine_cachemask_backward(Tensor grad, Tensor mask) -> Tensor
    TORCH_API inline at::Tensor fake_quantize_per_tensor_affine_cachemask_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & mask) {
        return at::_ops::fake_quantize_per_tensor_affine_cachemask_backward::redispatch(dispatchKeySet, grad, mask);
    }
    
    // aten::_fake_quantize_learnable_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max, float grad_factor=1.0) -> Tensor
    TORCH_API inline at::Tensor _fake_quantize_learnable_per_tensor_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) {
        return at::_ops::_fake_quantize_learnable_per_tensor_affine::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max, grad_factor);
    }
    
    // aten::_fake_quantize_learnable_per_tensor_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max, float grad_factor=1.0) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _fake_quantize_learnable_per_tensor_affine_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) {
        return at::_ops::_fake_quantize_learnable_per_tensor_affine_backward::redispatch(dispatchKeySet, grad, self, scale, zero_point, quant_min, quant_max, grad_factor);
    }
    
    // aten::fake_quantize_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max) -> Tensor
    TORCH_API inline at::Tensor fake_quantize_per_channel_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max) {
        return at::_ops::fake_quantize_per_channel_affine::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max);
    }
    
    // aten::fake_quantize_per_channel_affine_cachemask(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max) -> (Tensor output, Tensor mask)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> fake_quantize_per_channel_affine_cachemask(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max) {
        return at::_ops::fake_quantize_per_channel_affine_cachemask::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max);
    }
    
    // aten::fake_quantize_per_channel_affine_cachemask_backward(Tensor grad, Tensor mask) -> Tensor
    TORCH_API inline at::Tensor fake_quantize_per_channel_affine_cachemask_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & mask) {
        return at::_ops::fake_quantize_per_channel_affine_cachemask_backward::redispatch(dispatchKeySet, grad, mask);
    }
    
    // aten::_fake_quantize_learnable_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, float grad_factor=1.0) -> Tensor
    TORCH_API inline at::Tensor _fake_quantize_learnable_per_channel_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) {
        return at::_ops::_fake_quantize_learnable_per_channel_affine::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max, grad_factor);
    }
    
    // aten::_fake_quantize_learnable_per_channel_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, float grad_factor=1.0) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _fake_quantize_learnable_per_channel_affine_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) {
        return at::_ops::_fake_quantize_learnable_per_channel_affine_backward::redispatch(dispatchKeySet, grad, self, scale, zero_point, axis, quant_min, quant_max, grad_factor);
    }
    
    // aten::fused_moving_avg_obs_fake_quant(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor(a!) running_min, Tensor(b!) running_max, Tensor(c!) scale, Tensor(d!) zero_point, float averaging_const, int quant_min, int quant_max, int ch_axis, bool per_row_fake_quant=False, bool symmetric_quant=False) -> Tensor
    TORCH_API inline at::Tensor fused_moving_avg_obs_fake_quant(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & observer_on, const at::Tensor & fake_quant_on, at::Tensor & running_min, at::Tensor & running_max, at::Tensor & scale, at::Tensor & zero_point, double averaging_const, int64_t quant_min, int64_t quant_max, int64_t ch_axis, bool per_row_fake_quant=false, bool symmetric_quant=false) {
        return at::_ops::fused_moving_avg_obs_fake_quant::redispatch(dispatchKeySet, self, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant, symmetric_quant);
    }
    
    // aten::_fused_moving_avg_obs_fq_helper(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor(a!) running_min, Tensor(b!) running_max, Tensor(c!) scale, Tensor(d!) zero_point, float averaging_const, int quant_min, int quant_max, int ch_axis, bool per_row_fake_quant=False, bool symmetric_quant=False) -> (Tensor output, Tensor mask)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _fused_moving_avg_obs_fq_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & observer_on, const at::Tensor & fake_quant_on, at::Tensor & running_min, at::Tensor & running_max, at::Tensor & scale, at::Tensor & zero_point, double averaging_const, int64_t quant_min, int64_t quant_max, int64_t ch_axis, bool per_row_fake_quant=false, bool symmetric_quant=false) {
        return at::_ops::_fused_moving_avg_obs_fq_helper::redispatch(dispatchKeySet, self, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant, symmetric_quant);
    }
    
    // aten::_choose_qparams_per_tensor(Tensor self, bool reduce_range=False) -> (float, int)
    TORCH_API inline ::std::tuple<double,int64_t> _choose_qparams_per_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool reduce_range=false) {
        return at::_ops::_choose_qparams_per_tensor::redispatch(dispatchKeySet, self, reduce_range);
    }
    
    // aten::_saturate_weight_to_fp16(Tensor weight) -> Tensor
    TORCH_API inline at::Tensor _saturate_weight_to_fp16(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight) {
        return at::_ops::_saturate_weight_to_fp16::redispatch(dispatchKeySet, weight);
    }
    
    // aten::choose_qparams_optimized(Tensor input, int numel, int n_bins, float ratio, int bit_width) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> choose_qparams_optimized(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, int64_t numel, int64_t n_bins, double ratio, int64_t bit_width) {
        return at::_ops::choose_qparams_optimized::redispatch(dispatchKeySet, input, numel, n_bins, ratio, bit_width);
    }
    
    // aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor _to_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, bool non_blocking=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::_to_copy::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), non_blocking, c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor
    TORCH_API inline at::Tensor _to_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, bool non_blocking, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::_to_copy::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, non_blocking, memory_format);
    }
    
    // aten::to.dtype_layout(Tensor(a) self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a)
    TORCH_API inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::to_dtype_layout::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), non_blocking, copy, c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));
    }
    
    // aten::to.dtype_layout(Tensor(a) self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a)
    TORCH_API inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) {
        return at::_ops::to_dtype_layout::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, non_blocking, copy, memory_format);
    }
    
    // aten::to.device(Tensor(a) self, Device device, ScalarType dtype, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a)
    TORCH_API inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Device device, at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::to_device::redispatch(dispatchKeySet, self, device, dtype, non_blocking, copy, memory_format);
    }
    
    // aten::to.dtype(Tensor(a) self, ScalarType dtype, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a)
    TORCH_API inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::to_dtype::redispatch(dispatchKeySet, self, dtype, non_blocking, copy, memory_format);
    }
    
    // aten::to.other(Tensor(a) self, Tensor other, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a)
    TORCH_API inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {
        return at::_ops::to_other::redispatch(dispatchKeySet, self, other, non_blocking, copy, memory_format);
    }
    
    // aten::meshgrid(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> meshgrid(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::meshgrid::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::meshgrid.indexing(Tensor[] tensors, *, str indexing) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> meshgrid(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, c10::string_view indexing) {
        return at::_ops::meshgrid_indexing::redispatch(dispatchKeySet, tensors, indexing);
    }
    
    // aten::cartesian_prod(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor cartesian_prod(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::cartesian_prod::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::combinations(Tensor self, int r=2, bool with_replacement=False) -> Tensor
    TORCH_API inline at::Tensor combinations(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t r=2, bool with_replacement=false) {
        return at::_ops::combinations::redispatch(dispatchKeySet, self, r, with_replacement);
    }
    
    // aten::item(Tensor self) -> Scalar
    TORCH_API inline at::Scalar item(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::item::redispatch(dispatchKeySet, self);
    }
    
    // aten::result_type.Tensor(Tensor tensor, Tensor other) -> ScalarType
    TORCH_API inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Tensor & tensor, const at::Tensor & other) {
        return at::_ops::result_type_Tensor::redispatch(dispatchKeySet, tensor, other);
    }
    
    // aten::result_type.Scalar(Tensor tensor, Scalar other) -> ScalarType
    TORCH_API inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Tensor & tensor, const at::Scalar & other) {
        return at::_ops::result_type_Scalar::redispatch(dispatchKeySet, tensor, other);
    }
    
    // aten::result_type.Scalar_Tensor(Scalar scalar, Tensor tensor) -> ScalarType
    TORCH_API inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Scalar & scalar, const at::Tensor & tensor) {
        return at::_ops::result_type_Scalar_Tensor::redispatch(dispatchKeySet, scalar, tensor);
    }
    
    // aten::result_type.Scalar_Scalar(Scalar scalar1, Scalar scalar2) -> ScalarType
    TORCH_API inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Scalar & scalar1, const at::Scalar & scalar2) {
        return at::_ops::result_type_Scalar_Scalar::redispatch(dispatchKeySet, scalar1, scalar2);
    }
    
    // aten::can_cast(ScalarType from, ScalarType to) -> bool
    TORCH_API inline bool can_cast(c10::DispatchKeySet dispatchKeySet, at::ScalarType from, at::ScalarType to) {
        return at::_ops::can_cast::redispatch(dispatchKeySet, from, to);
    }
    
    // aten::promote_types(ScalarType type1, ScalarType type2) -> ScalarType
    TORCH_API inline at::ScalarType promote_types(c10::DispatchKeySet dispatchKeySet, at::ScalarType type1, at::ScalarType type2) {
        return at::_ops::promote_types::redispatch(dispatchKeySet, type1, type2);
    }
    
    // aten::_local_scalar_dense(Tensor self) -> Scalar
    TORCH_API inline at::Scalar _local_scalar_dense(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_local_scalar_dense::redispatch(dispatchKeySet, self);
    }
    
    // aten::_thnn_fused_lstm_cell(Tensor input_gates, Tensor hidden_gates, Tensor cx, Tensor? input_bias=None, Tensor? hidden_bias=None) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _thnn_fused_lstm_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & cx, const c10::optional<at::Tensor> & input_bias={}, const c10::optional<at::Tensor> & hidden_bias={}) {
        return at::_ops::_thnn_fused_lstm_cell::redispatch(dispatchKeySet, input_gates, hidden_gates, cx, input_bias, hidden_bias);
    }
    
    // aten::_thnn_fused_lstm_cell_backward(Tensor? grad_hy, Tensor? grad_cy, Tensor cx, Tensor cy, Tensor workspace, bool has_bias) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_fused_lstm_cell_backward(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & cx, const at::Tensor & cy, const at::Tensor & workspace, bool has_bias) {
        return at::_ops::_thnn_fused_lstm_cell_backward::redispatch(dispatchKeySet, grad_hy, grad_cy, cx, cy, workspace, has_bias);
    }
    
    // aten::_thnn_differentiable_lstm_cell_backward(Tensor? grad_hy, Tensor? grad_cy, Tensor input_gates, Tensor hidden_gates, Tensor? input_bias, Tensor? hidden_bias, Tensor cx, Tensor cy) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_differentiable_lstm_cell_backward(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const c10::optional<at::Tensor> & input_bias, const c10::optional<at::Tensor> & hidden_bias, const at::Tensor & cx, const at::Tensor & cy) {
        return at::_ops::_thnn_differentiable_lstm_cell_backward::redispatch(dispatchKeySet, grad_hy, grad_cy, input_gates, hidden_gates, input_bias, hidden_bias, cx, cy);
    }
    
    // aten::_thnn_fused_gru_cell(Tensor input_gates, Tensor hidden_gates, Tensor hx, Tensor? input_bias=None, Tensor? hidden_bias=None) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _thnn_fused_gru_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias={}, const c10::optional<at::Tensor> & hidden_bias={}) {
        return at::_ops::_thnn_fused_gru_cell::redispatch(dispatchKeySet, input_gates, hidden_gates, hx, input_bias, hidden_bias);
    }
    
    // aten::_thnn_fused_gru_cell_backward(Tensor grad_hy, Tensor workspace, bool has_bias) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_fused_gru_cell_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_hy, const at::Tensor & workspace, bool has_bias) {
        return at::_ops::_thnn_fused_gru_cell_backward::redispatch(dispatchKeySet, grad_hy, workspace, has_bias);
    }
    
    // aten::_thnn_differentiable_gru_cell_backward(Tensor grad_hy, Tensor input_gates, Tensor hidden_gates, Tensor hx, Tensor? input_bias, Tensor? hidden_bias) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_differentiable_gru_cell_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_hy, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias, const c10::optional<at::Tensor> & hidden_bias) {
        return at::_ops::_thnn_differentiable_gru_cell_backward::redispatch(dispatchKeySet, grad_hy, input_gates, hidden_gates, hx, input_bias, hidden_bias);
    }
    
    // aten::lstm.input(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lstm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) {
        return at::_ops::lstm_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first);
    }
    
    // aten::lstm.data(Tensor data, Tensor batch_sizes, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lstm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) {
        return at::_ops::lstm_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional);
    }
    
    // aten::gru.input(Tensor input, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> gru(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) {
        return at::_ops::gru_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first);
    }
    
    // aten::gru.data(Tensor data, Tensor batch_sizes, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> gru(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) {
        return at::_ops::gru_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional);
    }
    
    // aten::rnn_tanh.input(Tensor input, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> rnn_tanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) {
        return at::_ops::rnn_tanh_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first);
    }
    
    // aten::rnn_tanh.data(Tensor data, Tensor batch_sizes, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> rnn_tanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) {
        return at::_ops::rnn_tanh_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional);
    }
    
    // aten::rnn_relu.input(Tensor input, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> rnn_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) {
        return at::_ops::rnn_relu_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first);
    }
    
    // aten::rnn_relu.data(Tensor data, Tensor batch_sizes, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> rnn_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) {
        return at::_ops::rnn_relu_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional);
    }
    
    // aten::lstm_cell(Tensor input, Tensor[] hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> lstm_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) {
        return at::_ops::lstm_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh);
    }
    
    // aten::gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> Tensor
    TORCH_API inline at::Tensor gru_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) {
        return at::_ops::gru_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh);
    }
    
    // aten::rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> Tensor
    TORCH_API inline at::Tensor rnn_tanh_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) {
        return at::_ops::rnn_tanh_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh);
    }
    
    // aten::rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> Tensor
    TORCH_API inline at::Tensor rnn_relu_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) {
        return at::_ops::rnn_relu_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh);
    }
    
    // aten::quantized_lstm_cell(Tensor input, Tensor[] hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> quantized_lstm_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) {
        return at::_ops::quantized_lstm_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh);
    }
    
    // aten::quantized_gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> Tensor
    TORCH_API inline at::Tensor quantized_gru_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) {
        return at::_ops::quantized_gru_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh);
    }
    
    // aten::quantized_rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> Tensor
    TORCH_API inline at::Tensor quantized_rnn_relu_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) {
        return at::_ops::quantized_rnn_relu_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh);
    }
    
    // aten::quantized_rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> Tensor
    TORCH_API inline at::Tensor quantized_rnn_tanh_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) {
        return at::_ops::quantized_rnn_tanh_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh);
    }
    
    // aten::_pack_padded_sequence(Tensor input, Tensor lengths, bool batch_first) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _pack_padded_sequence(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & lengths, bool batch_first) {
        return at::_ops::_pack_padded_sequence::redispatch(dispatchKeySet, input, lengths, batch_first);
    }
    
    // aten::_pack_padded_sequence_backward(Tensor grad, int[] input_size, Tensor batch_sizes, bool batch_first) -> Tensor
    TORCH_API inline at::Tensor _pack_padded_sequence_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef input_size, const at::Tensor & batch_sizes, bool batch_first) {
        return at::_ops::_pack_padded_sequence_backward::redispatch(dispatchKeySet, grad, input_size, batch_sizes, batch_first);
    }
    
    // aten::_pad_packed_sequence(Tensor data, Tensor batch_sizes, bool batch_first, Scalar padding_value, int total_length) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _pad_packed_sequence(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, bool batch_first, const at::Scalar & padding_value, int64_t total_length) {
        return at::_ops::_pad_packed_sequence::redispatch(dispatchKeySet, data, batch_sizes, batch_first, padding_value, total_length);
    }
    
    // aten::set_.source_Storage(Tensor(a!) self, Storage source) -> Tensor(a!)
    TORCH_API inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Storage source) {
        return at::_ops::set__source_Storage::redispatch(dispatchKeySet, self, source);
    }
    
    // aten::set_.source_Storage_storage_offset(Tensor(a!) self, Storage source, int storage_offset, int[] size, int[] stride=[]) -> Tensor(a!)
    TORCH_API inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) {
        return at::_ops::set__source_Storage_storage_offset::redispatch(dispatchKeySet, self, source, storage_offset, size, stride);
    }
    
    // aten::set_.source_Tensor(Tensor(a!) self, Tensor source) -> Tensor(a!)
    TORCH_API inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & source) {
        return at::_ops::set__source_Tensor::redispatch(dispatchKeySet, self, source);
    }
    
    // aten::set_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::set_::redispatch(dispatchKeySet, self);
    }
    
    // aten::is_set_to(Tensor self, Tensor tensor) -> bool
    TORCH_API inline bool is_set_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor) {
        return at::_ops::is_set_to::redispatch(dispatchKeySet, self, tensor);
    }
    
    // aten::masked_fill_.Scalar(Tensor(a!) self, Tensor mask, Scalar value) -> Tensor(a!)
    TORCH_API inline at::Tensor & masked_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mask, const at::Scalar & value) {
        return at::_ops::masked_fill__Scalar::redispatch(dispatchKeySet, self, mask, value);
    }
    
    // aten::masked_fill.Scalar(Tensor self, Tensor mask, Scalar value) -> Tensor
    TORCH_API inline at::Tensor masked_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Scalar & value) {
        return at::_ops::masked_fill_Scalar::redispatch(dispatchKeySet, self, mask, value);
    }
    
    // aten::masked_fill_.Tensor(Tensor(a!) self, Tensor mask, Tensor value) -> Tensor(a!)
    TORCH_API inline at::Tensor & masked_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mask, const at::Tensor & value) {
        return at::_ops::masked_fill__Tensor::redispatch(dispatchKeySet, self, mask, value);
    }
    
    // aten::masked_fill.Tensor(Tensor self, Tensor mask, Tensor value) -> Tensor
    TORCH_API inline at::Tensor masked_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & value) {
        return at::_ops::masked_fill_Tensor::redispatch(dispatchKeySet, self, mask, value);
    }
    
    // aten::masked_scatter_(Tensor(a!) self, Tensor mask, Tensor source) -> Tensor(a!)
    TORCH_API inline at::Tensor & masked_scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mask, const at::Tensor & source) {
        return at::_ops::masked_scatter_::redispatch(dispatchKeySet, self, mask, source);
    }
    
    // aten::masked_scatter(Tensor self, Tensor mask, Tensor source) -> Tensor
    TORCH_API inline at::Tensor masked_scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & source) {
        return at::_ops::masked_scatter::redispatch(dispatchKeySet, self, mask, source);
    }
    
    // aten::view(Tensor(a) self, int[] size) -> Tensor(a)
    TORCH_API inline at::Tensor view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) {
        return at::_ops::view::redispatch(dispatchKeySet, self, size);
    }
    
    // aten::view.dtype(Tensor(a) self, ScalarType dtype) -> Tensor(a)
    TORCH_API inline at::Tensor view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype) {
        return at::_ops::view_dtype::redispatch(dispatchKeySet, self, dtype);
    }
    
    // aten::put_(Tensor(a!) self, Tensor index, Tensor source, bool accumulate=False) -> Tensor(a!)
    TORCH_API inline at::Tensor & put_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false) {
        return at::_ops::put_::redispatch(dispatchKeySet, self, index, source, accumulate);
    }
    
    // aten::put(Tensor self, Tensor index, Tensor source, bool accumulate=False) -> Tensor
    TORCH_API inline at::Tensor put(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false) {
        return at::_ops::put::redispatch(dispatchKeySet, self, index, source, accumulate);
    }
    
    // aten::index_add_(Tensor(a!) self, int dim, Tensor index, Tensor source) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) {
        return at::_ops::index_add_::redispatch(dispatchKeySet, self, dim, index, source);
    }
    
    // aten::index_add_.alpha(Tensor(a!) self, int dim, Tensor index, Tensor source, *, Scalar alpha) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha) {
        return at::_ops::index_add__alpha::redispatch(dispatchKeySet, self, dim, index, source, alpha);
    }
    
    // aten::index_add(Tensor self, int dim, Tensor index, Tensor source) -> Tensor
    TORCH_API inline at::Tensor index_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) {
        return at::_ops::index_add::redispatch(dispatchKeySet, self, dim, index, source);
    }
    
    // aten::index_add.alpha(Tensor self, int dim, Tensor index, Tensor source, *, Scalar alpha) -> Tensor
    TORCH_API inline at::Tensor index_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha) {
        return at::_ops::index_add_alpha::redispatch(dispatchKeySet, self, dim, index, source, alpha);
    }
    
    // aten::index_add.dimname(Tensor self, Dimname dim, Tensor index, Tensor source, *, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor index_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) {
        return at::_ops::index_add_dimname::redispatch(dispatchKeySet, self, dim, index, source, alpha);
    }
    
    // aten::index_fill_.int_Scalar(Tensor(a!) self, int dim, Tensor index, Scalar value) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::index_fill__int_Scalar::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::index_fill.int_Scalar(Tensor self, int dim, Tensor index, Scalar value) -> Tensor
    TORCH_API inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::index_fill_int_Scalar::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::index_fill_.int_Tensor(Tensor(a!) self, int dim, Tensor index, Tensor value) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & value) {
        return at::_ops::index_fill__int_Tensor::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::index_fill.int_Tensor(Tensor self, int dim, Tensor index, Tensor value) -> Tensor
    TORCH_API inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & value) {
        return at::_ops::index_fill_int_Tensor::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::index_fill_.Dimname_Scalar(Tensor(a!) self, Dimname dim, Tensor index, Scalar value) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::index_fill__Dimname_Scalar::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::index_fill_.Dimname_Tensor(Tensor(a!) self, Dimname dim, Tensor index, Tensor value) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) {
        return at::_ops::index_fill__Dimname_Tensor::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::index_fill.Dimname_Scalar(Tensor self, Dimname dim, Tensor index, Scalar value) -> Tensor
    TORCH_API inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::index_fill_Dimname_Scalar::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::index_fill.Dimname_Tensor(Tensor self, Dimname dim, Tensor index, Tensor value) -> Tensor
    TORCH_API inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) {
        return at::_ops::index_fill_Dimname_Tensor::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::scatter.src(Tensor self, int dim, Tensor index, Tensor src) -> Tensor
    TORCH_API inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter_src::redispatch(dispatchKeySet, self, dim, index, src);
    }
    
    // aten::scatter_.src(Tensor(a!) self, int dim, Tensor index, Tensor src) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter__src::redispatch(dispatchKeySet, self, dim, index, src);
    }
    
    // aten::scatter.src_out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter_src_out::redispatch(dispatchKeySet, self, dim, index, src, out);
    }
    
    // aten::scatter.src_out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, at::Tensor & out) {
        return at::_ops::scatter_src_out::redispatch(dispatchKeySet, self, dim, index, src, out);
    }
    
    // aten::scatter.value(Tensor self, int dim, Tensor index, Scalar value) -> Tensor
    TORCH_API inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::scatter_value::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::scatter_.value(Tensor(a!) self, int dim, Tensor index, Scalar value) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::scatter__value::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::scatter.value_out(Tensor self, int dim, Tensor index, Scalar value, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::scatter_value_out::redispatch(dispatchKeySet, self, dim, index, value, out);
    }
    
    // aten::scatter.value_out(Tensor self, int dim, Tensor index, Scalar value, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, at::Tensor & out) {
        return at::_ops::scatter_value_out::redispatch(dispatchKeySet, self, dim, index, value, out);
    }
    
    // aten::scatter.reduce(Tensor self, int dim, Tensor index, Tensor src, *, str reduce) -> Tensor
    TORCH_API inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) {
        return at::_ops::scatter_reduce::redispatch(dispatchKeySet, self, dim, index, src, reduce);
    }
    
    // aten::scatter_.reduce(Tensor(a!) self, int dim, Tensor index, Tensor src, *, str reduce) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) {
        return at::_ops::scatter__reduce::redispatch(dispatchKeySet, self, dim, index, src, reduce);
    }
    
    // aten::scatter.reduce_out(Tensor self, int dim, Tensor index, Tensor src, *, str reduce, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) {
        return at::_ops::scatter_reduce_out::redispatch(dispatchKeySet, self, dim, index, src, reduce, out);
    }
    
    // aten::scatter.reduce_out(Tensor self, int dim, Tensor index, Tensor src, *, str reduce, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, at::Tensor & out) {
        return at::_ops::scatter_reduce_out::redispatch(dispatchKeySet, self, dim, index, src, reduce, out);
    }
    
    // aten::scatter.value_reduce(Tensor self, int dim, Tensor index, Scalar value, *, str reduce) -> Tensor
    TORCH_API inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) {
        return at::_ops::scatter_value_reduce::redispatch(dispatchKeySet, self, dim, index, value, reduce);
    }
    
    // aten::scatter_.value_reduce(Tensor(a!) self, int dim, Tensor index, Scalar value, *, str reduce) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) {
        return at::_ops::scatter__value_reduce::redispatch(dispatchKeySet, self, dim, index, value, reduce);
    }
    
    // aten::scatter.value_reduce_out(Tensor self, int dim, Tensor index, Scalar value, *, str reduce, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) {
        return at::_ops::scatter_value_reduce_out::redispatch(dispatchKeySet, self, dim, index, value, reduce, out);
    }
    
    // aten::scatter.value_reduce_out(Tensor self, int dim, Tensor index, Scalar value, *, str reduce, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce, at::Tensor & out) {
        return at::_ops::scatter_value_reduce_out::redispatch(dispatchKeySet, self, dim, index, value, reduce, out);
    }
    
    // aten::scatter.dimname_src(Tensor self, Dimname dim, Tensor index, Tensor src) -> Tensor
    TORCH_API inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter_dimname_src::redispatch(dispatchKeySet, self, dim, index, src);
    }
    
    // aten::scatter.dimname_value(Tensor self, Dimname dim, Tensor index, Scalar value) -> Tensor
    TORCH_API inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) {
        return at::_ops::scatter_dimname_value::redispatch(dispatchKeySet, self, dim, index, value);
    }
    
    // aten::scatter_add(Tensor self, int dim, Tensor index, Tensor src) -> Tensor
    TORCH_API inline at::Tensor scatter_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter_add::redispatch(dispatchKeySet, self, dim, index, src);
    }
    
    // aten::scatter_add_(Tensor(a!) self, int dim, Tensor index, Tensor src) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter_add_::redispatch(dispatchKeySet, self, dim, index, src);
    }
    
    // aten::scatter_add.out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_add_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter_add_out::redispatch(dispatchKeySet, self, dim, index, src, out);
    }
    
    // aten::scatter_add.out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & scatter_add_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, at::Tensor & out) {
        return at::_ops::scatter_add_out::redispatch(dispatchKeySet, self, dim, index, src, out);
    }
    
    // aten::scatter_add.dimname(Tensor self, Dimname dim, Tensor index, Tensor src) -> Tensor
    TORCH_API inline at::Tensor scatter_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) {
        return at::_ops::scatter_add_dimname::redispatch(dispatchKeySet, self, dim, index, src);
    }
    
    // aten::eq_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & eq_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::eq__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::eq_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & eq_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::eq__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_and.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_and_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_and_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_and.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_and_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::bitwise_and_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_and.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_and_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_and_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_and.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_and_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::bitwise_and_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_and.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor bitwise_and(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_and_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_and.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor bitwise_and(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_and_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_and_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_and_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_and__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_and_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_and_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_and__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__and__.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor __and__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__and___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__and__.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor __and__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__and___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__iand__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __iand__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__iand___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__iand__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __iand__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__iand___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_or.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_or_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_or_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_or.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_or_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::bitwise_or_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_or.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_or_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_or_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_or.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_or_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::bitwise_or_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_or.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor bitwise_or(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_or_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_or.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor bitwise_or(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_or_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_or_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_or_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_or__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_or_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_or_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_or__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__or__.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor __or__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__or___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__or__.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor __or__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__or___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__ior__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __ior__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__ior___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__ior__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __ior__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__ior___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_xor.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_xor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_xor_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_xor.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_xor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::bitwise_xor_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_xor.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_xor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_xor_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_xor.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_xor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::bitwise_xor_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_xor.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor bitwise_xor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_xor_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_xor.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor bitwise_xor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_xor_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_xor_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_xor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_xor__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_xor_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_xor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_xor__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__xor__.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor __xor__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__xor___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__xor__.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor __xor__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__xor___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__ixor__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __ixor__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__ixor___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__ixor__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __ixor__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__ixor___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__lshift__.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor __lshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__lshift___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__lshift__.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor __lshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__lshift___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__ilshift__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __ilshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__ilshift___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__ilshift__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __ilshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__ilshift___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_left_shift.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor bitwise_left_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_left_shift_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_left_shift_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_left_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_left_shift__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_left_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_left_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_left_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_left_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_left_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::bitwise_left_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_left_shift.Tensor_Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor bitwise_left_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_left_shift_Tensor_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_left_shift_.Tensor_Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_left_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_left_shift__Tensor_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_left_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_left_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_left_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_left_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_left_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::bitwise_left_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_left_shift.Scalar_Tensor(Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor bitwise_left_shift(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::bitwise_left_shift_Scalar_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__rshift__.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor __rshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__rshift___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__rshift__.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor __rshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__rshift___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__irshift__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __irshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::__irshift___Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::__irshift__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & __irshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::__irshift___Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_right_shift.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor bitwise_right_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_right_shift_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_right_shift_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_right_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_right_shift__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_right_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_right_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::bitwise_right_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_right_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_right_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::bitwise_right_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_right_shift.Tensor_Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor bitwise_right_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_right_shift_Tensor_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_right_shift_.Tensor_Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_right_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_right_shift__Tensor_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::bitwise_right_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_right_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::bitwise_right_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_right_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bitwise_right_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::bitwise_right_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::bitwise_right_shift.Scalar_Tensor(Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor bitwise_right_shift(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::bitwise_right_shift_Scalar_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::tril_(Tensor(a!) self, int diagonal=0) -> Tensor(a!)
    TORCH_API inline at::Tensor & tril_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::tril_::redispatch(dispatchKeySet, self, diagonal);
    }
    
    // aten::triu_(Tensor(a!) self, int diagonal=0) -> Tensor(a!)
    TORCH_API inline at::Tensor & triu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::triu_::redispatch(dispatchKeySet, self, diagonal);
    }
    
    // aten::digamma_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & digamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::digamma_::redispatch(dispatchKeySet, self);
    }
    
    // aten::lerp_.Scalar(Tensor(a!) self, Tensor end, Scalar weight) -> Tensor(a!)
    TORCH_API inline at::Tensor & lerp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) {
        return at::_ops::lerp__Scalar::redispatch(dispatchKeySet, self, end, weight);
    }
    
    // aten::lerp_.Tensor(Tensor(a!) self, Tensor end, Tensor weight) -> Tensor(a!)
    TORCH_API inline at::Tensor & lerp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) {
        return at::_ops::lerp__Tensor::redispatch(dispatchKeySet, self, end, weight);
    }
    
    // aten::addbmm_(Tensor(a!) self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & addbmm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addbmm_::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha);
    }
    
    // aten::addbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addbmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out);
    }
    
    // aten::addbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addbmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) {
        return at::_ops::addbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out);
    }
    
    // aten::addbmm(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor addbmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) {
        return at::_ops::addbmm::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha);
    }
    
    // aten::random_.from(Tensor(a!) self, int from, int? to, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & random_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::random__from::redispatch(dispatchKeySet, self, from, to, generator);
    }
    
    // aten::random_.to(Tensor(a!) self, int to, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & random_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t to, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::random__to::redispatch(dispatchKeySet, self, to, generator);
    }
    
    // aten::random_(Tensor(a!) self, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & random_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::random_::redispatch(dispatchKeySet, self, generator);
    }
    
    // aten::uniform_(Tensor(a!) self, float from=0, float to=1, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & uniform_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double from=0, double to=1, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::uniform_::redispatch(dispatchKeySet, self, from, to, generator);
    }
    
    // aten::cauchy_(Tensor(a!) self, float median=0, float sigma=1, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & cauchy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double median=0, double sigma=1, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::cauchy_::redispatch(dispatchKeySet, self, median, sigma, generator);
    }
    
    // aten::log_normal_(Tensor(a!) self, float mean=1, float std=2, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_normal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double mean=1, double std=2, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::log_normal_::redispatch(dispatchKeySet, self, mean, std, generator);
    }
    
    // aten::exponential_(Tensor(a!) self, float lambd=1, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & exponential_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double lambd=1, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::exponential_::redispatch(dispatchKeySet, self, lambd, generator);
    }
    
    // aten::geometric_(Tensor(a!) self, float p, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & geometric_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::geometric_::redispatch(dispatchKeySet, self, p, generator);
    }
    
    // aten::diag.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & diag_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::diag_out::redispatch(dispatchKeySet, self, diagonal, out);
    }
    
    // aten::diag.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & diag_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal, at::Tensor & out) {
        return at::_ops::diag_out::redispatch(dispatchKeySet, self, diagonal, out);
    }
    
    // aten::diag(Tensor self, int diagonal=0) -> Tensor
    TORCH_API inline at::Tensor diag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::diag::redispatch(dispatchKeySet, self, diagonal);
    }
    
    // aten::diag_backward(Tensor grad, int[] input_sizes, int diagonal) -> Tensor
    TORCH_API inline at::Tensor diag_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef input_sizes, int64_t diagonal) {
        return at::_ops::diag_backward::redispatch(dispatchKeySet, grad, input_sizes, diagonal);
    }
    
    // aten::cross.out(Tensor self, Tensor other, int? dim=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cross_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim=c10::nullopt) {
        return at::_ops::cross_out::redispatch(dispatchKeySet, self, other, dim, out);
    }
    
    // aten::cross.out(Tensor self, Tensor other, int? dim=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cross_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim, at::Tensor & out) {
        return at::_ops::cross_out::redispatch(dispatchKeySet, self, other, dim, out);
    }
    
    // aten::cross(Tensor self, Tensor other, int? dim=None) -> Tensor
    TORCH_API inline at::Tensor cross(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim=c10::nullopt) {
        return at::_ops::cross::redispatch(dispatchKeySet, self, other, dim);
    }
    
    // aten::triu.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & triu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::triu_out::redispatch(dispatchKeySet, self, diagonal, out);
    }
    
    // aten::triu.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & triu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal, at::Tensor & out) {
        return at::_ops::triu_out::redispatch(dispatchKeySet, self, diagonal, out);
    }
    
    // aten::triu(Tensor self, int diagonal=0) -> Tensor
    TORCH_API inline at::Tensor triu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::triu::redispatch(dispatchKeySet, self, diagonal);
    }
    
    // aten::tril.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tril_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::tril_out::redispatch(dispatchKeySet, self, diagonal, out);
    }
    
    // aten::tril.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & tril_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal, at::Tensor & out) {
        return at::_ops::tril_out::redispatch(dispatchKeySet, self, diagonal, out);
    }
    
    // aten::tril(Tensor self, int diagonal=0) -> Tensor
    TORCH_API inline at::Tensor tril(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal=0) {
        return at::_ops::tril::redispatch(dispatchKeySet, self, diagonal);
    }
    
    // aten::tril_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor tril_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset=0, at::TensorOptions options=at::kLong) {
        return at::_ops::tril_indices::redispatch(dispatchKeySet, row, col, offset, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::tril_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor tril_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::tril_indices::redispatch(dispatchKeySet, row, col, offset, dtype, layout, device, pin_memory);
    }
    
    // aten::triu_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor triu_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset=0, at::TensorOptions options=at::kLong) {
        return at::_ops::triu_indices::redispatch(dispatchKeySet, row, col, offset, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::triu_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor triu_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::triu_indices::redispatch(dispatchKeySet, row, col, offset, dtype, layout, device, pin_memory);
    }
    
    // aten::trace(Tensor self) -> Tensor
    TORCH_API inline at::Tensor trace(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::trace::redispatch(dispatchKeySet, self);
    }
    
    // aten::trace_backward(Tensor grad, int[] sizes) -> Tensor
    TORCH_API inline at::Tensor trace_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef sizes) {
        return at::_ops::trace_backward::redispatch(dispatchKeySet, grad, sizes);
    }
    
    // aten::ne.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ne_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::ne_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ne.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ne_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::ne_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ne.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor ne(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::ne_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ne.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ne_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ne_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ne.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ne_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::ne_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ne.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor ne(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ne_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ne_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & ne_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::ne__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ne_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & ne_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ne__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::not_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & not_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::not_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::not_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & not_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::not_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::not_equal.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor not_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::not_equal_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::not_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & not_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::not_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::not_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & not_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::not_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::not_equal.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor not_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::not_equal_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::not_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & not_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::not_equal__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::not_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & not_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::not_equal__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::eq.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::eq_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::eq.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eq_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::eq_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::eq.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor eq(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::eq_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::eq.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::eq_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::eq.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & eq_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::eq_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::eq.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor eq(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::eq_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ge.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ge_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::ge_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ge.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ge_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::ge_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ge.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor ge(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::ge_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ge.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ge_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ge_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ge.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ge_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::ge_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::ge.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor ge(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ge_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ge_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & ge_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::ge__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::ge_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & ge_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::ge__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::greater_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::greater_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater_equal.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor greater_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::greater_equal_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::greater_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::greater_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater_equal.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor greater_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::greater_equal_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::greater_equal__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::greater_equal__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::le.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & le_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::le_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::le.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & le_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::le_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::le.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor le(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::le_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::le.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & le_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::le_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::le.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & le_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::le_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::le.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor le(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::le_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::le_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & le_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::le__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::le_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & le_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::le__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::less_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::less_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less_equal.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor less_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::less_equal_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::less_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::less_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less_equal.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor less_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::less_equal_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::less_equal__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::less_equal__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::gt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::gt_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::gt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::gt_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::gt.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor gt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::gt_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::gt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::gt_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::gt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::gt_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::gt.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor gt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::gt_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::gt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & gt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::gt__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::gt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & gt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::gt__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::greater_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::greater_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor greater(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::greater_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::greater_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::greater_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::greater.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor greater(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::greater_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::greater__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::greater_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & greater_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::greater__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::lt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::lt_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::lt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::lt_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::lt.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor lt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::lt_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::lt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::lt_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::lt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::lt_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::lt.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor lt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::lt_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::lt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & lt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::lt__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::lt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & lt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::lt__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::less_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::less_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor less(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::less_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::less_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::less_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::less.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor less(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::less_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::less__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::less_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & less_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::less__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::take.out(Tensor self, Tensor index, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & take_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & index) {
        return at::_ops::take_out::redispatch(dispatchKeySet, self, index, out);
    }
    
    // aten::take.out(Tensor self, Tensor index, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & take_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & index, at::Tensor & out) {
        return at::_ops::take_out::redispatch(dispatchKeySet, self, index, out);
    }
    
    // aten::take(Tensor self, Tensor index) -> Tensor
    TORCH_API inline at::Tensor take(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & index) {
        return at::_ops::take::redispatch(dispatchKeySet, self, index);
    }
    
    // aten::take_along_dim.out(Tensor self, Tensor indices, int? dim=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & take_along_dim_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim=c10::nullopt) {
        return at::_ops::take_along_dim_out::redispatch(dispatchKeySet, self, indices, dim, out);
    }
    
    // aten::take_along_dim.out(Tensor self, Tensor indices, int? dim=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & take_along_dim_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim, at::Tensor & out) {
        return at::_ops::take_along_dim_out::redispatch(dispatchKeySet, self, indices, dim, out);
    }
    
    // aten::take_along_dim(Tensor self, Tensor indices, int? dim=None) -> Tensor
    TORCH_API inline at::Tensor take_along_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim=c10::nullopt) {
        return at::_ops::take_along_dim::redispatch(dispatchKeySet, self, indices, dim);
    }
    
    // aten::index_select.out(Tensor self, int dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_select_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index) {
        return at::_ops::index_select_out::redispatch(dispatchKeySet, self, dim, index, out);
    }
    
    // aten::index_select.out(Tensor self, int dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_select_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, at::Tensor & out) {
        return at::_ops::index_select_out::redispatch(dispatchKeySet, self, dim, index, out);
    }
    
    // aten::index_select(Tensor self, int dim, Tensor index) -> Tensor
    TORCH_API inline at::Tensor index_select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index) {
        return at::_ops::index_select::redispatch(dispatchKeySet, self, dim, index);
    }
    
    // aten::index_select.dimname_out(Tensor self, Dimname dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_select_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, const at::Tensor & index) {
        return at::_ops::index_select_dimname_out::redispatch(dispatchKeySet, self, dim, index, out);
    }
    
    // aten::index_select.dimname_out(Tensor self, Dimname dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & index_select_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, at::Tensor & out) {
        return at::_ops::index_select_dimname_out::redispatch(dispatchKeySet, self, dim, index, out);
    }
    
    // aten::index_select.dimname(Tensor self, Dimname dim, Tensor index) -> Tensor
    TORCH_API inline at::Tensor index_select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index) {
        return at::_ops::index_select_dimname::redispatch(dispatchKeySet, self, dim, index);
    }
    
    // aten::index_select_backward(Tensor grad, int[] self_sizes, int dim, Tensor index) -> Tensor
    TORCH_API inline at::Tensor index_select_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef self_sizes, int64_t dim, const at::Tensor & index) {
        return at::_ops::index_select_backward::redispatch(dispatchKeySet, grad, self_sizes, dim, index);
    }
    
    // aten::masked_select.out(Tensor self, Tensor mask, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & masked_select_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask) {
        return at::_ops::masked_select_out::redispatch(dispatchKeySet, self, mask, out);
    }
    
    // aten::masked_select.out(Tensor self, Tensor mask, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & masked_select_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, at::Tensor & out) {
        return at::_ops::masked_select_out::redispatch(dispatchKeySet, self, mask, out);
    }
    
    // aten::masked_select(Tensor self, Tensor mask) -> Tensor
    TORCH_API inline at::Tensor masked_select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask) {
        return at::_ops::masked_select::redispatch(dispatchKeySet, self, mask);
    }
    
    // aten::masked_select_backward(Tensor grad, Tensor input, Tensor mask) -> Tensor
    TORCH_API inline at::Tensor masked_select_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input, const at::Tensor & mask) {
        return at::_ops::masked_select_backward::redispatch(dispatchKeySet, grad, input, mask);
    }
    
    // aten::nonzero.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nonzero_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::nonzero_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::nonzero.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nonzero_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::nonzero_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::nonzero(Tensor self) -> Tensor
    TORCH_API inline at::Tensor nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::nonzero::redispatch(dispatchKeySet, self);
    }
    
    // aten::nonzero_numpy(Tensor self) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> nonzero_numpy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::nonzero_numpy::redispatch(dispatchKeySet, self);
    }
    
    // aten::gather.out(Tensor self, int dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gather_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad=false) {
        return at::_ops::gather_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out);
    }
    
    // aten::gather.out(Tensor self, int dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gather_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad, at::Tensor & out) {
        return at::_ops::gather_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out);
    }
    
    // aten::gather(Tensor self, int dim, Tensor index, *, bool sparse_grad=False) -> Tensor
    TORCH_API inline at::Tensor gather(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad=false) {
        return at::_ops::gather::redispatch(dispatchKeySet, self, dim, index, sparse_grad);
    }
    
    // aten::gather_backward(Tensor grad, Tensor self, int dim, Tensor index, bool sparse_grad) -> Tensor
    TORCH_API inline at::Tensor gather_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad) {
        return at::_ops::gather_backward::redispatch(dispatchKeySet, grad, self, dim, index, sparse_grad);
    }
    
    // aten::gather.dimname_out(Tensor self, Dimname dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gather_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad=false) {
        return at::_ops::gather_dimname_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out);
    }
    
    // aten::gather.dimname_out(Tensor self, Dimname dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & gather_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad, at::Tensor & out) {
        return at::_ops::gather_dimname_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out);
    }
    
    // aten::gather.dimname(Tensor self, Dimname dim, Tensor index, *, bool sparse_grad=False) -> Tensor
    TORCH_API inline at::Tensor gather(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad=false) {
        return at::_ops::gather_dimname::redispatch(dispatchKeySet, self, dim, index, sparse_grad);
    }
    
    // aten::_gather_sparse_backward(Tensor self, int dim, Tensor index, Tensor grad) -> Tensor
    TORCH_API inline at::Tensor _gather_sparse_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & grad) {
        return at::_ops::_gather_sparse_backward::redispatch(dispatchKeySet, self, dim, index, grad);
    }
    
    // aten::addcmul.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addcmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) {
        return at::_ops::addcmul_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out);
    }
    
    // aten::addcmul.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addcmul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out) {
        return at::_ops::addcmul_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out);
    }
    
    // aten::addcmul(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor
    TORCH_API inline at::Tensor addcmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) {
        return at::_ops::addcmul::redispatch(dispatchKeySet, self, tensor1, tensor2, value);
    }
    
    // aten::addcmul_(Tensor(a!) self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & addcmul_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) {
        return at::_ops::addcmul_::redispatch(dispatchKeySet, self, tensor1, tensor2, value);
    }
    
    // aten::addcdiv.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addcdiv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) {
        return at::_ops::addcdiv_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out);
    }
    
    // aten::addcdiv.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & addcdiv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out) {
        return at::_ops::addcdiv_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out);
    }
    
    // aten::addcdiv(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor
    TORCH_API inline at::Tensor addcdiv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) {
        return at::_ops::addcdiv::redispatch(dispatchKeySet, self, tensor1, tensor2, value);
    }
    
    // aten::addcdiv_(Tensor(a!) self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & addcdiv_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) {
        return at::_ops::addcdiv_::redispatch(dispatchKeySet, self, tensor1, tensor2, value);
    }
    
    // aten::cross_entropy_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100, float label_smoothing=0.0) -> Tensor
    TORCH_API inline at::Tensor cross_entropy_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100, double label_smoothing=0.0) {
        return at::_ops::cross_entropy_loss::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, label_smoothing);
    }
    
    // aten::lstsq.X(Tensor self, Tensor A, *, Tensor(a!) X, Tensor(b!) qr) -> (Tensor(a!) solution, Tensor(b!) QR)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> lstsq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & X, at::Tensor & qr, const at::Tensor & self, const at::Tensor & A) {
        return at::_ops::lstsq_X::redispatch(dispatchKeySet, self, A, X, qr);
    }
    
    // aten::lstsq.X(Tensor self, Tensor A, *, Tensor(a!) X, Tensor(b!) qr) -> (Tensor(a!) solution, Tensor(b!) QR)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> lstsq_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, at::Tensor & X, at::Tensor & qr) {
        return at::_ops::lstsq_X::redispatch(dispatchKeySet, self, A, X, qr);
    }
    
    // aten::lstsq(Tensor self, Tensor A) -> (Tensor solution, Tensor QR)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> lstsq(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A) {
        return at::_ops::lstsq::redispatch(dispatchKeySet, self, A);
    }
    
    // aten::triangular_solve.X(Tensor self, Tensor A, bool upper=True, bool transpose=False, bool unitriangular=False, *, Tensor(a!) X, Tensor(b!) M) -> (Tensor(a!) solution, Tensor(b!) cloned_coefficient)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> triangular_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & X, at::Tensor & M, const at::Tensor & self, const at::Tensor & A, bool upper=true, bool transpose=false, bool unitriangular=false) {
        return at::_ops::triangular_solve_X::redispatch(dispatchKeySet, self, A, upper, transpose, unitriangular, X, M);
    }
    
    // aten::triangular_solve.X(Tensor self, Tensor A, bool upper=True, bool transpose=False, bool unitriangular=False, *, Tensor(a!) X, Tensor(b!) M) -> (Tensor(a!) solution, Tensor(b!) cloned_coefficient)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> triangular_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, bool upper, bool transpose, bool unitriangular, at::Tensor & X, at::Tensor & M) {
        return at::_ops::triangular_solve_X::redispatch(dispatchKeySet, self, A, upper, transpose, unitriangular, X, M);
    }
    
    // aten::triangular_solve(Tensor self, Tensor A, bool upper=True, bool transpose=False, bool unitriangular=False) -> (Tensor solution, Tensor cloned_coefficient)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> triangular_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, bool upper=true, bool transpose=false, bool unitriangular=false) {
        return at::_ops::triangular_solve::redispatch(dispatchKeySet, self, A, upper, transpose, unitriangular);
    }
    
    // aten::symeig.e(Tensor self, bool eigenvectors=False, bool upper=True, *, Tensor(a!) e, Tensor(b!) V) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> symeig_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & e, at::Tensor & V, const at::Tensor & self, bool eigenvectors=false, bool upper=true) {
        return at::_ops::symeig_e::redispatch(dispatchKeySet, self, eigenvectors, upper, e, V);
    }
    
    // aten::symeig.e(Tensor self, bool eigenvectors=False, bool upper=True, *, Tensor(a!) e, Tensor(b!) V) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> symeig_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool eigenvectors, bool upper, at::Tensor & e, at::Tensor & V) {
        return at::_ops::symeig_e::redispatch(dispatchKeySet, self, eigenvectors, upper, e, V);
    }
    
    // aten::symeig(Tensor self, bool eigenvectors=False, bool upper=True) -> (Tensor eigenvalues, Tensor eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> symeig(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool eigenvectors=false, bool upper=true) {
        return at::_ops::symeig::redispatch(dispatchKeySet, self, eigenvectors, upper);
    }
    
    // aten::_symeig_helper(Tensor self, bool eigenvectors, bool upper) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _symeig_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool eigenvectors, bool upper) {
        return at::_ops::_symeig_helper::redispatch(dispatchKeySet, self, eigenvectors, upper);
    }
    
    // aten::eig.e(Tensor self, bool eigenvectors=False, *, Tensor(a!) e, Tensor(b!) v) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> eig_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & e, at::Tensor & v, const at::Tensor & self, bool eigenvectors=false) {
        return at::_ops::eig_e::redispatch(dispatchKeySet, self, eigenvectors, e, v);
    }
    
    // aten::eig.e(Tensor self, bool eigenvectors=False, *, Tensor(a!) e, Tensor(b!) v) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> eig_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool eigenvectors, at::Tensor & e, at::Tensor & v) {
        return at::_ops::eig_e::redispatch(dispatchKeySet, self, eigenvectors, e, v);
    }
    
    // aten::eig(Tensor self, bool eigenvectors=False) -> (Tensor eigenvalues, Tensor eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> eig(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool eigenvectors=false) {
        return at::_ops::eig::redispatch(dispatchKeySet, self, eigenvectors);
    }
    
    // aten::svd.U(Tensor self, bool some=True, bool compute_uv=True, *, Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) V)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> svd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & U, at::Tensor & S, at::Tensor & V, const at::Tensor & self, bool some=true, bool compute_uv=true) {
        return at::_ops::svd_U::redispatch(dispatchKeySet, self, some, compute_uv, U, S, V);
    }
    
    // aten::svd.U(Tensor self, bool some=True, bool compute_uv=True, *, Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) V)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> svd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some, bool compute_uv, at::Tensor & U, at::Tensor & S, at::Tensor & V) {
        return at::_ops::svd_U::redispatch(dispatchKeySet, self, some, compute_uv, U, S, V);
    }
    
    // aten::svd(Tensor self, bool some=True, bool compute_uv=True) -> (Tensor U, Tensor S, Tensor V)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> svd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some=true, bool compute_uv=true) {
        return at::_ops::svd::redispatch(dispatchKeySet, self, some, compute_uv);
    }
    
    // aten::_svd_helper(Tensor self, bool some, bool compute_uv) -> (Tensor U, Tensor S, Tensor V)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _svd_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some, bool compute_uv) {
        return at::_ops::_svd_helper::redispatch(dispatchKeySet, self, some, compute_uv);
    }
    
    // aten::swapaxes(Tensor(a) self, int axis0, int axis1) -> Tensor(a)
    TORCH_API inline at::Tensor swapaxes(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t axis0, int64_t axis1) {
        return at::_ops::swapaxes::redispatch(dispatchKeySet, self, axis0, axis1);
    }
    
    // aten::swapaxes_(Tensor(a!) self, int axis0, int axis1) -> Tensor(a!)
    TORCH_API inline at::Tensor & swapaxes_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t axis0, int64_t axis1) {
        return at::_ops::swapaxes_::redispatch(dispatchKeySet, self, axis0, axis1);
    }
    
    // aten::swapdims(Tensor(a) self, int dim0, int dim1) -> Tensor(a)
    TORCH_API inline at::Tensor swapdims(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1) {
        return at::_ops::swapdims::redispatch(dispatchKeySet, self, dim0, dim1);
    }
    
    // aten::swapdims_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!)
    TORCH_API inline at::Tensor & swapdims_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim0, int64_t dim1) {
        return at::_ops::swapdims_::redispatch(dispatchKeySet, self, dim0, dim1);
    }
    
    // aten::cholesky.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cholesky_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool upper=false) {
        return at::_ops::cholesky_out::redispatch(dispatchKeySet, self, upper, out);
    }
    
    // aten::cholesky.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cholesky_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, at::Tensor & out) {
        return at::_ops::cholesky_out::redispatch(dispatchKeySet, self, upper, out);
    }
    
    // aten::cholesky(Tensor self, bool upper=False) -> Tensor
    TORCH_API inline at::Tensor cholesky(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false) {
        return at::_ops::cholesky::redispatch(dispatchKeySet, self, upper);
    }
    
    // aten::cholesky_solve.out(Tensor self, Tensor input2, bool upper=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cholesky_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & input2, bool upper=false) {
        return at::_ops::cholesky_solve_out::redispatch(dispatchKeySet, self, input2, upper, out);
    }
    
    // aten::cholesky_solve.out(Tensor self, Tensor input2, bool upper=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cholesky_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, bool upper, at::Tensor & out) {
        return at::_ops::cholesky_solve_out::redispatch(dispatchKeySet, self, input2, upper, out);
    }
    
    // aten::cholesky_solve(Tensor self, Tensor input2, bool upper=False) -> Tensor
    TORCH_API inline at::Tensor cholesky_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, bool upper=false) {
        return at::_ops::cholesky_solve::redispatch(dispatchKeySet, self, input2, upper);
    }
    
    // aten::_cholesky_solve_helper(Tensor self, Tensor A, bool upper) -> Tensor
    TORCH_API inline at::Tensor _cholesky_solve_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, bool upper) {
        return at::_ops::_cholesky_solve_helper::redispatch(dispatchKeySet, self, A, upper);
    }
    
    // aten::solve(Tensor self, Tensor A) -> (Tensor solution, Tensor LU)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A) {
        return at::_ops::solve::redispatch(dispatchKeySet, self, A);
    }
    
    // aten::solve.solution(Tensor self, Tensor A, *, Tensor(a!) solution, Tensor(b!) lu) -> (Tensor(a!) solution, Tensor(b!) LU)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & solution, at::Tensor & lu, const at::Tensor & self, const at::Tensor & A) {
        return at::_ops::solve_solution::redispatch(dispatchKeySet, self, A, solution, lu);
    }
    
    // aten::solve.solution(Tensor self, Tensor A, *, Tensor(a!) solution, Tensor(b!) lu) -> (Tensor(a!) solution, Tensor(b!) LU)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, at::Tensor & solution, at::Tensor & lu) {
        return at::_ops::solve_solution::redispatch(dispatchKeySet, self, A, solution, lu);
    }
    
    // aten::_solve_helper(Tensor self, Tensor A) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _solve_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A) {
        return at::_ops::_solve_helper::redispatch(dispatchKeySet, self, A);
    }
    
    // aten::cholesky_inverse(Tensor self, bool upper=False) -> Tensor
    TORCH_API inline at::Tensor cholesky_inverse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false) {
        return at::_ops::cholesky_inverse::redispatch(dispatchKeySet, self, upper);
    }
    
    // aten::cholesky_inverse.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cholesky_inverse_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool upper=false) {
        return at::_ops::cholesky_inverse_out::redispatch(dispatchKeySet, self, upper, out);
    }
    
    // aten::cholesky_inverse.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & cholesky_inverse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, at::Tensor & out) {
        return at::_ops::cholesky_inverse_out::redispatch(dispatchKeySet, self, upper, out);
    }
    
    // aten::qr.Q(Tensor self, bool some=True, *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> qr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & Q, at::Tensor & R, const at::Tensor & self, bool some=true) {
        return at::_ops::qr_Q::redispatch(dispatchKeySet, self, some, Q, R);
    }
    
    // aten::qr.Q(Tensor self, bool some=True, *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> qr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some, at::Tensor & Q, at::Tensor & R) {
        return at::_ops::qr_Q::redispatch(dispatchKeySet, self, some, Q, R);
    }
    
    // aten::qr(Tensor self, bool some=True) -> (Tensor Q, Tensor R)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> qr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some=true) {
        return at::_ops::qr::redispatch(dispatchKeySet, self, some);
    }
    
    // aten::geqrf.a(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) -> (Tensor(a!) a, Tensor(b!) tau)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> geqrf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & a, at::Tensor & tau, const at::Tensor & self) {
        return at::_ops::geqrf_a::redispatch(dispatchKeySet, self, a, tau);
    }
    
    // aten::geqrf.a(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) -> (Tensor(a!) a, Tensor(b!) tau)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> geqrf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & a, at::Tensor & tau) {
        return at::_ops::geqrf_a::redispatch(dispatchKeySet, self, a, tau);
    }
    
    // aten::geqrf(Tensor self) -> (Tensor a, Tensor tau)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> geqrf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::geqrf::redispatch(dispatchKeySet, self);
    }
    
    // aten::orgqr(Tensor self, Tensor input2) -> Tensor
    TORCH_API inline at::Tensor orgqr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2) {
        return at::_ops::orgqr::redispatch(dispatchKeySet, self, input2);
    }
    
    // aten::orgqr.out(Tensor self, Tensor input2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & orgqr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & input2) {
        return at::_ops::orgqr_out::redispatch(dispatchKeySet, self, input2, out);
    }
    
    // aten::orgqr.out(Tensor self, Tensor input2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & orgqr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, at::Tensor & out) {
        return at::_ops::orgqr_out::redispatch(dispatchKeySet, self, input2, out);
    }
    
    // aten::ormqr.out(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ormqr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left=true, bool transpose=false) {
        return at::_ops::ormqr_out::redispatch(dispatchKeySet, self, input2, input3, left, transpose, out);
    }
    
    // aten::ormqr.out(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ormqr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left, bool transpose, at::Tensor & out) {
        return at::_ops::ormqr_out::redispatch(dispatchKeySet, self, input2, input3, left, transpose, out);
    }
    
    // aten::ormqr(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False) -> Tensor
    TORCH_API inline at::Tensor ormqr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left=true, bool transpose=false) {
        return at::_ops::ormqr::redispatch(dispatchKeySet, self, input2, input3, left, transpose);
    }
    
    // aten::_lu_with_info(Tensor self, bool pivot=True, bool check_errors=True) -> (Tensor LU, Tensor pivots, Tensor info)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _lu_with_info(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool pivot=true, bool check_errors=true) {
        return at::_ops::_lu_with_info::redispatch(dispatchKeySet, self, pivot, check_errors);
    }
    
    // aten::lu_solve.out(Tensor self, Tensor LU_data, Tensor LU_pivots, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lu_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots) {
        return at::_ops::lu_solve_out::redispatch(dispatchKeySet, self, LU_data, LU_pivots, out);
    }
    
    // aten::lu_solve.out(Tensor self, Tensor LU_data, Tensor LU_pivots, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lu_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots, at::Tensor & out) {
        return at::_ops::lu_solve_out::redispatch(dispatchKeySet, self, LU_data, LU_pivots, out);
    }
    
    // aten::lu_solve(Tensor self, Tensor LU_data, Tensor LU_pivots) -> Tensor
    TORCH_API inline at::Tensor lu_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots) {
        return at::_ops::lu_solve::redispatch(dispatchKeySet, self, LU_data, LU_pivots);
    }
    
    // aten::lu_unpack(Tensor LU_data, Tensor LU_pivots, bool unpack_data=True, bool unpack_pivots=True) -> (Tensor P, Tensor L, Tensor U)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lu_unpack(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LU_data, const at::Tensor & LU_pivots, bool unpack_data=true, bool unpack_pivots=true) {
        return at::_ops::lu_unpack::redispatch(dispatchKeySet, LU_data, LU_pivots, unpack_data, unpack_pivots);
    }
    
    // aten::lu_unpack.out(Tensor LU_data, Tensor LU_pivots, bool unpack_data=True, bool unpack_pivots=True, *, Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) -> (Tensor(a!) P, Tensor(b!) L, Tensor(c!) U)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> lu_unpack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & P, at::Tensor & L, at::Tensor & U, const at::Tensor & LU_data, const at::Tensor & LU_pivots, bool unpack_data=true, bool unpack_pivots=true) {
        return at::_ops::lu_unpack_out::redispatch(dispatchKeySet, LU_data, LU_pivots, unpack_data, unpack_pivots, P, L, U);
    }
    
    // aten::lu_unpack.out(Tensor LU_data, Tensor LU_pivots, bool unpack_data=True, bool unpack_pivots=True, *, Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) -> (Tensor(a!) P, Tensor(b!) L, Tensor(c!) U)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> lu_unpack_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LU_data, const at::Tensor & LU_pivots, bool unpack_data, bool unpack_pivots, at::Tensor & P, at::Tensor & L, at::Tensor & U) {
        return at::_ops::lu_unpack_out::redispatch(dispatchKeySet, LU_data, LU_pivots, unpack_data, unpack_pivots, P, L, U);
    }
    
    // aten::multinomial.out(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multinomial_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t num_samples, bool replacement=false, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::multinomial_out::redispatch(dispatchKeySet, self, num_samples, replacement, generator, out);
    }
    
    // aten::multinomial.out(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multinomial_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t num_samples, bool replacement, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::multinomial_out::redispatch(dispatchKeySet, self, num_samples, replacement, generator, out);
    }
    
    // aten::multinomial(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor multinomial(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t num_samples, bool replacement=false, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::multinomial::redispatch(dispatchKeySet, self, num_samples, replacement, generator);
    }
    
    // aten::lgamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lgamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::lgamma_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::lgamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lgamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::lgamma_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::lgamma_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & lgamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::lgamma_::redispatch(dispatchKeySet, self);
    }
    
    // aten::lgamma(Tensor self) -> Tensor
    TORCH_API inline at::Tensor lgamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::lgamma::redispatch(dispatchKeySet, self);
    }
    
    // aten::digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & digamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::digamma_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & digamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::digamma_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::digamma(Tensor self) -> Tensor
    TORCH_API inline at::Tensor digamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::digamma::redispatch(dispatchKeySet, self);
    }
    
    // aten::polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & polygamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, const at::Tensor & self) {
        return at::_ops::polygamma_out::redispatch(dispatchKeySet, n, self, out);
    }
    
    // aten::polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & polygamma_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::polygamma_out::redispatch(dispatchKeySet, n, self, out);
    }
    
    // aten::polygamma(int n, Tensor self) -> Tensor
    TORCH_API inline at::Tensor polygamma(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self) {
        return at::_ops::polygamma::redispatch(dispatchKeySet, n, self);
    }
    
    // aten::polygamma_(Tensor(a!) self, int n) -> Tensor(a!)
    TORCH_API inline at::Tensor & polygamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t n) {
        return at::_ops::polygamma_::redispatch(dispatchKeySet, self, n);
    }
    
    // aten::erfinv(Tensor self) -> Tensor
    TORCH_API inline at::Tensor erfinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::erfinv::redispatch(dispatchKeySet, self);
    }
    
    // aten::erfinv_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & erfinv_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::erfinv_::redispatch(dispatchKeySet, self);
    }
    
    // aten::erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & erfinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::erfinv_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & erfinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::erfinv_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::i0(Tensor self) -> Tensor
    TORCH_API inline at::Tensor i0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::i0::redispatch(dispatchKeySet, self);
    }
    
    // aten::i0_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & i0_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::i0_::redispatch(dispatchKeySet, self);
    }
    
    // aten::i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & i0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::i0_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & i0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::i0_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sign(Tensor self) -> Tensor
    TORCH_API inline at::Tensor sign(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::sign::redispatch(dispatchKeySet, self);
    }
    
    // aten::sign_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & sign_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::sign_::redispatch(dispatchKeySet, self);
    }
    
    // aten::sign.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sign_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::sign_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::sign.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & sign_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::sign_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::signbit(Tensor self) -> Tensor
    TORCH_API inline at::Tensor signbit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::signbit::redispatch(dispatchKeySet, self);
    }
    
    // aten::signbit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & signbit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::signbit_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::signbit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & signbit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::signbit_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::dist(Tensor self, Tensor other, Scalar p=2) -> Tensor
    TORCH_API inline at::Tensor dist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & p=2) {
        return at::_ops::dist::redispatch(dispatchKeySet, self, other, p);
    }
    
    // aten::atan2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & atan2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::atan2_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::atan2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & atan2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::atan2_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::atan2_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & atan2_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::atan2_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::atan2(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor atan2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::atan2::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::lerp.Scalar_out(Tensor self, Tensor end, Scalar weight, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lerp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) {
        return at::_ops::lerp_Scalar_out::redispatch(dispatchKeySet, self, end, weight, out);
    }
    
    // aten::lerp.Scalar_out(Tensor self, Tensor end, Scalar weight, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lerp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight, at::Tensor & out) {
        return at::_ops::lerp_Scalar_out::redispatch(dispatchKeySet, self, end, weight, out);
    }
    
    // aten::lerp.Tensor_out(Tensor self, Tensor end, Tensor weight, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lerp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) {
        return at::_ops::lerp_Tensor_out::redispatch(dispatchKeySet, self, end, weight, out);
    }
    
    // aten::lerp.Tensor_out(Tensor self, Tensor end, Tensor weight, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & lerp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight, at::Tensor & out) {
        return at::_ops::lerp_Tensor_out::redispatch(dispatchKeySet, self, end, weight, out);
    }
    
    // aten::lerp.Scalar(Tensor self, Tensor end, Scalar weight) -> Tensor
    TORCH_API inline at::Tensor lerp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) {
        return at::_ops::lerp_Scalar::redispatch(dispatchKeySet, self, end, weight);
    }
    
    // aten::lerp.Tensor(Tensor self, Tensor end, Tensor weight) -> Tensor
    TORCH_API inline at::Tensor lerp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) {
        return at::_ops::lerp_Tensor::redispatch(dispatchKeySet, self, end, weight);
    }
    
    // aten::histc.out(Tensor self, int bins=100, Scalar min=0, Scalar max=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & histc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t bins=100, const at::Scalar & min=0, const at::Scalar & max=0) {
        return at::_ops::histc_out::redispatch(dispatchKeySet, self, bins, min, max, out);
    }
    
    // aten::histc.out(Tensor self, int bins=100, Scalar min=0, Scalar max=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & histc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins, const at::Scalar & min, const at::Scalar & max, at::Tensor & out) {
        return at::_ops::histc_out::redispatch(dispatchKeySet, self, bins, min, max, out);
    }
    
    // aten::histc(Tensor self, int bins=100, Scalar min=0, Scalar max=0) -> Tensor
    TORCH_API inline at::Tensor histc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins=100, const at::Scalar & min=0, const at::Scalar & max=0) {
        return at::_ops::histc::redispatch(dispatchKeySet, self, bins, min, max);
    }
    
    // aten::histogram.bins_tensor_out(Tensor self, Tensor bins, *, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & hist, at::Tensor & bin_edges, const at::Tensor & self, const at::Tensor & bins, const c10::optional<at::Tensor> & weight={}, bool density=false) {
        return at::_ops::histogram_bins_tensor_out::redispatch(dispatchKeySet, self, bins, weight, density, hist, bin_edges);
    }
    
    // aten::histogram.bins_tensor_out(Tensor self, Tensor bins, *, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & bins, const c10::optional<at::Tensor> & weight, bool density, at::Tensor & hist, at::Tensor & bin_edges) {
        return at::_ops::histogram_bins_tensor_out::redispatch(dispatchKeySet, self, bins, weight, density, hist, bin_edges);
    }
    
    // aten::histogram.bins_tensor(Tensor self, Tensor bins, *, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor bin_edges)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> histogram(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & bins, const c10::optional<at::Tensor> & weight={}, bool density=false) {
        return at::_ops::histogram_bins_tensor::redispatch(dispatchKeySet, self, bins, weight, density);
    }
    
    // aten::histogram.bin_ct_out(Tensor self, int bins=100, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & hist, at::Tensor & bin_edges, const at::Tensor & self, int64_t bins=100, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) {
        return at::_ops::histogram_bin_ct_out::redispatch(dispatchKeySet, self, bins, range, weight, density, hist, bin_edges);
    }
    
    // aten::histogram.bin_ct_out(Tensor self, int bins=100, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density, at::Tensor & hist, at::Tensor & bin_edges) {
        return at::_ops::histogram_bin_ct_out::redispatch(dispatchKeySet, self, bins, range, weight, density, hist, bin_edges);
    }
    
    // aten::histogram.bin_ct(Tensor self, int bins=100, *, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor bin_edges)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> histogram(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins=100, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) {
        return at::_ops::histogram_bin_ct::redispatch(dispatchKeySet, self, bins, range, weight, density);
    }
    
    // aten::fmod.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::fmod_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::fmod.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::fmod_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::fmod.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor fmod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::fmod_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::fmod_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::fmod__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::fmod.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::fmod_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::fmod.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::fmod_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::fmod.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor fmod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::fmod_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::fmod_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::fmod__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::hypot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hypot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::hypot_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::hypot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hypot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::hypot_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::hypot(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor hypot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::hypot::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::hypot_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & hypot_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::hypot_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::igamma.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & igamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::igamma_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::igamma.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & igamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::igamma_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::igamma(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor igamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::igamma::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::igamma_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & igamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::igamma_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::igammac.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & igammac_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::igammac_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::igammac.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & igammac_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::igammac_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::igammac(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor igammac(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::igammac::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::igammac_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & igammac_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::igammac_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::nextafter.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nextafter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::nextafter_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::nextafter.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nextafter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::nextafter_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::nextafter(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor nextafter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::nextafter::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::nextafter_(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & nextafter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::nextafter_::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::remainder.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & remainder_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::remainder_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::remainder.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & remainder_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::remainder_Scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::remainder.Scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor remainder(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::remainder_Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::remainder_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)
    TORCH_API inline at::Tensor & remainder_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) {
        return at::_ops::remainder__Scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::remainder.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & remainder_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::remainder_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::remainder.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & remainder_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::remainder_Tensor_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::remainder.Tensor(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor remainder(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::remainder_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::remainder_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)
    TORCH_API inline at::Tensor & remainder_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) {
        return at::_ops::remainder__Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::remainder.Scalar_Tensor(Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor remainder(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::remainder_Scalar_Tensor::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::min(Tensor self) -> Tensor
    TORCH_API inline at::Tensor min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::min::redispatch(dispatchKeySet, self);
    }
    
    // aten::fmin(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor fmin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::fmin::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::fmin.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::fmin_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::fmin.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::fmin_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::max(Tensor self) -> Tensor
    TORCH_API inline at::Tensor max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::max::redispatch(dispatchKeySet, self);
    }
    
    // aten::fmax(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor fmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::fmax::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::fmax.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::fmax_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::fmax.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::fmax_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::maximum(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor maximum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::maximum::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::maximum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & maximum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::maximum_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::maximum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & maximum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::maximum_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::max.other(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::max_other::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::max.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::max_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::max.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::max_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::minimum(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor minimum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::minimum::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::minimum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & minimum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::minimum_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::minimum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & minimum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::minimum_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::min.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::min_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::min.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::min_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::min.other(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::min_other::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::quantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::quantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::quantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) {
        return at::_ops::quantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::quantile.scalar(Tensor self, float q, int? dim=None, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor quantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::quantile_scalar::redispatch(dispatchKeySet, self, q, dim, keepdim);
    }
    
    // aten::quantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::quantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::quantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) {
        return at::_ops::quantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::quantile(Tensor self, Tensor q, int? dim=None, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor quantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::quantile::redispatch(dispatchKeySet, self, q, dim, keepdim);
    }
    
    // aten::nanquantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::nanquantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::nanquantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) {
        return at::_ops::nanquantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::nanquantile.scalar(Tensor self, float q, int? dim=None, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor nanquantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::nanquantile_scalar::redispatch(dispatchKeySet, self, q, dim, keepdim);
    }
    
    // aten::nanquantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::nanquantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::nanquantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) {
        return at::_ops::nanquantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, out);
    }
    
    // aten::nanquantile(Tensor self, Tensor q, int? dim=None, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor nanquantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) {
        return at::_ops::nanquantile::redispatch(dispatchKeySet, self, q, dim, keepdim);
    }
    
    // aten::quantile.new_scalar_out(Tensor self, float q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::quantile_new_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::quantile.new_scalar_out(Tensor self, float q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) {
        return at::_ops::quantile_new_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::quantile.new_scalar(Tensor self, float q, int? dim, bool keepdim, *, str interpolation) -> Tensor
    TORCH_API inline at::Tensor quantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::quantile_new_scalar::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation);
    }
    
    // aten::quantile.new_out(Tensor self, Tensor q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::quantile_new_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::quantile.new_out(Tensor self, Tensor q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & quantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) {
        return at::_ops::quantile_new_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::quantile.new(Tensor self, Tensor q, int? dim, bool keepdim, *, str interpolation) -> Tensor
    TORCH_API inline at::Tensor quantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::quantile_new::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation);
    }
    
    // aten::nanquantile.new_scalar_out(Tensor self, float q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::nanquantile_new_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::nanquantile.new_scalar_out(Tensor self, float q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) {
        return at::_ops::nanquantile_new_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::nanquantile.new_scalar(Tensor self, float q, int? dim, bool keepdim, *, str interpolation) -> Tensor
    TORCH_API inline at::Tensor nanquantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::nanquantile_new_scalar::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation);
    }
    
    // aten::nanquantile.new_out(Tensor self, Tensor q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::nanquantile_new_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::nanquantile.new_out(Tensor self, Tensor q, int? dim, bool keepdim, *, str interpolation, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nanquantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) {
        return at::_ops::nanquantile_new_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out);
    }
    
    // aten::nanquantile.new(Tensor self, Tensor q, int? dim, bool keepdim, *, str interpolation) -> Tensor
    TORCH_API inline at::Tensor nanquantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) {
        return at::_ops::nanquantile_new::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation);
    }
    
    // aten::sort.values(Tensor self, int dim=-1, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim=-1, bool descending=false) {
        return at::_ops::sort_values::redispatch(dispatchKeySet, self, dim, descending, values, indices);
    }
    
    // aten::sort.values(Tensor self, int dim=-1, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool descending, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::sort_values::redispatch(dispatchKeySet, self, dim, descending, values, indices);
    }
    
    // aten::sort.values_stable(Tensor self, *, bool? stable, int dim=-1, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, c10::optional<bool> stable, int64_t dim=-1, bool descending=false) {
        return at::_ops::sort_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices);
    }
    
    // aten::sort.values_stable(Tensor self, *, bool? stable, int dim=-1, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, int64_t dim, bool descending, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::sort_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices);
    }
    
    // aten::sort(Tensor self, int dim=-1, bool descending=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1, bool descending=false) {
        return at::_ops::sort::redispatch(dispatchKeySet, self, dim, descending);
    }
    
    // aten::sort.stable(Tensor self, *, bool? stable, int dim=-1, bool descending=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, int64_t dim=-1, bool descending=false) {
        return at::_ops::sort_stable::redispatch(dispatchKeySet, self, stable, dim, descending);
    }
    
    // aten::sort.dimname_values(Tensor self, Dimname dim, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool descending=false) {
        return at::_ops::sort_dimname_values::redispatch(dispatchKeySet, self, dim, descending, values, indices);
    }
    
    // aten::sort.dimname_values(Tensor self, Dimname dim, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::sort_dimname_values::redispatch(dispatchKeySet, self, dim, descending, values, indices);
    }
    
    // aten::sort.dimname_values_stable(Tensor self, *, bool? stable, Dimname dim, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending=false) {
        return at::_ops::sort_dimname_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices);
    }
    
    // aten::sort.dimname_values_stable(Tensor self, *, bool? stable, Dimname dim, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::sort_dimname_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices);
    }
    
    // aten::sort.dimname(Tensor self, Dimname dim, bool descending=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool descending=false) {
        return at::_ops::sort_dimname::redispatch(dispatchKeySet, self, dim, descending);
    }
    
    // aten::sort.dimname_stable(Tensor self, *, bool? stable, Dimname dim, bool descending=False) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending=false) {
        return at::_ops::sort_dimname_stable::redispatch(dispatchKeySet, self, stable, dim, descending);
    }
    
    // aten::msort.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & msort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::msort_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::msort.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & msort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::msort_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::msort(Tensor self) -> Tensor
    TORCH_API inline at::Tensor msort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::msort::redispatch(dispatchKeySet, self);
    }
    
    // aten::argsort(Tensor self, int dim=-1, bool descending=False) -> Tensor
    TORCH_API inline at::Tensor argsort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1, bool descending=false) {
        return at::_ops::argsort::redispatch(dispatchKeySet, self, dim, descending);
    }
    
    // aten::argsort.dimname(Tensor self, Dimname dim, bool descending=False) -> Tensor
    TORCH_API inline at::Tensor argsort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool descending=false) {
        return at::_ops::argsort_dimname::redispatch(dispatchKeySet, self, dim, descending);
    }
    
    // aten::topk.values(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> topk_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) {
        return at::_ops::topk_values::redispatch(dispatchKeySet, self, k, dim, largest, sorted, values, indices);
    }
    
    // aten::topk.values(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> topk_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim, bool largest, bool sorted, at::Tensor & values, at::Tensor & indices) {
        return at::_ops::topk_values::redispatch(dispatchKeySet, self, k, dim, largest, sorted, values, indices);
    }
    
    // aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> topk(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) {
        return at::_ops::topk::redispatch(dispatchKeySet, self, k, dim, largest, sorted);
    }
    
    // aten::all(Tensor self) -> Tensor
    TORCH_API inline at::Tensor all(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::all::redispatch(dispatchKeySet, self);
    }
    
    // aten::all.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & all_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::all_all_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::all.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & all_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::all_all_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::any(Tensor self) -> Tensor
    TORCH_API inline at::Tensor any(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::any::redispatch(dispatchKeySet, self);
    }
    
    // aten::any.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & any_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::any_all_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::any.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & any_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::any_all_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::renorm.out(Tensor self, Scalar p, int dim, Scalar maxnorm, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & renorm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) {
        return at::_ops::renorm_out::redispatch(dispatchKeySet, self, p, dim, maxnorm, out);
    }
    
    // aten::renorm.out(Tensor self, Scalar p, int dim, Scalar maxnorm, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & renorm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm, at::Tensor & out) {
        return at::_ops::renorm_out::redispatch(dispatchKeySet, self, p, dim, maxnorm, out);
    }
    
    // aten::renorm(Tensor self, Scalar p, int dim, Scalar maxnorm) -> Tensor
    TORCH_API inline at::Tensor renorm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) {
        return at::_ops::renorm::redispatch(dispatchKeySet, self, p, dim, maxnorm);
    }
    
    // aten::renorm_(Tensor(a!) self, Scalar p, int dim, Scalar maxnorm) -> Tensor(a!)
    TORCH_API inline at::Tensor & renorm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) {
        return at::_ops::renorm_::redispatch(dispatchKeySet, self, p, dim, maxnorm);
    }
    
    // aten::unfold(Tensor(a) self, int dimension, int size, int step) -> Tensor(a)
    TORCH_API inline at::Tensor unfold(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dimension, int64_t size, int64_t step) {
        return at::_ops::unfold::redispatch(dispatchKeySet, self, dimension, size, step);
    }
    
    // aten::unfold_backward(Tensor grad_in, int[] input_sizes, int dim, int size, int step) -> Tensor
    TORCH_API inline at::Tensor unfold_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_in, at::IntArrayRef input_sizes, int64_t dim, int64_t size, int64_t step) {
        return at::_ops::unfold_backward::redispatch(dispatchKeySet, grad_in, input_sizes, dim, size, step);
    }
    
    // aten::equal(Tensor self, Tensor other) -> bool
    TORCH_API inline bool equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::equal::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::pow.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent) {
        return at::_ops::pow_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::pow.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out) {
        return at::_ops::pow_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::pow.Tensor_Tensor(Tensor self, Tensor exponent) -> Tensor
    TORCH_API inline at::Tensor pow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent) {
        return at::_ops::pow_Tensor_Tensor::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::pow.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent) {
        return at::_ops::pow_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::pow.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out) {
        return at::_ops::pow_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::pow.Scalar(Scalar self, Tensor exponent) -> Tensor
    TORCH_API inline at::Tensor pow(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent) {
        return at::_ops::pow_Scalar::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::pow.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent) {
        return at::_ops::pow_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::pow.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out) {
        return at::_ops::pow_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::pow.Tensor_Scalar(Tensor self, Scalar exponent) -> Tensor
    TORCH_API inline at::Tensor pow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent) {
        return at::_ops::pow_Tensor_Scalar::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::pow_.Scalar(Tensor(a!) self, Scalar exponent) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & exponent) {
        return at::_ops::pow__Scalar::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::pow_.Tensor(Tensor(a!) self, Tensor exponent) -> Tensor(a!)
    TORCH_API inline at::Tensor & pow_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & exponent) {
        return at::_ops::pow__Tensor::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::float_power.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent) {
        return at::_ops::float_power_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::float_power.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out) {
        return at::_ops::float_power_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::float_power.Tensor_Tensor(Tensor self, Tensor exponent) -> Tensor
    TORCH_API inline at::Tensor float_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent) {
        return at::_ops::float_power_Tensor_Tensor::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::float_power.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent) {
        return at::_ops::float_power_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::float_power.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out) {
        return at::_ops::float_power_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::float_power.Scalar(Scalar self, Tensor exponent) -> Tensor
    TORCH_API inline at::Tensor float_power(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent) {
        return at::_ops::float_power_Scalar::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::float_power.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent) {
        return at::_ops::float_power_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::float_power.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out) {
        return at::_ops::float_power_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out);
    }
    
    // aten::float_power.Tensor_Scalar(Tensor self, Scalar exponent) -> Tensor
    TORCH_API inline at::Tensor float_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent) {
        return at::_ops::float_power_Tensor_Scalar::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::float_power_.Scalar(Tensor(a!) self, Scalar exponent) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & exponent) {
        return at::_ops::float_power__Scalar::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::float_power_.Tensor(Tensor(a!) self, Tensor exponent) -> Tensor(a!)
    TORCH_API inline at::Tensor & float_power_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & exponent) {
        return at::_ops::float_power__Tensor::redispatch(dispatchKeySet, self, exponent);
    }
    
    // aten::normal_(Tensor(a!) self, float mean=0, float std=1, *, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double mean=0, double std=1, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_::redispatch(dispatchKeySet, self, mean, std, generator);
    }
    
    // aten::normal.Tensor_float_out(Tensor mean, float std=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & mean, double std=1, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_Tensor_float_out::redispatch(dispatchKeySet, mean, std, generator, out);
    }
    
    // aten::normal.Tensor_float_out(Tensor mean, float std=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, double std, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::normal_Tensor_float_out::redispatch(dispatchKeySet, mean, std, generator, out);
    }
    
    // aten::normal.Tensor_float(Tensor mean, float std=1, *, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, double std=1, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_Tensor_float::redispatch(dispatchKeySet, mean, std, generator);
    }
    
    // aten::normal.float_Tensor_out(float mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, double mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_float_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out);
    }
    
    // aten::normal.float_Tensor_out(float mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, double mean, const at::Tensor & std, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::normal_float_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out);
    }
    
    // aten::normal.float_Tensor(float mean, Tensor std, *, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, double mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_float_Tensor::redispatch(dispatchKeySet, mean, std, generator);
    }
    
    // aten::normal.Tensor_Tensor_out(Tensor mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_Tensor_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out);
    }
    
    // aten::normal.Tensor_Tensor_out(Tensor mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, const at::Tensor & std, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::normal_Tensor_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out);
    }
    
    // aten::normal.Tensor_Tensor(Tensor mean, Tensor std, *, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_Tensor_Tensor::redispatch(dispatchKeySet, mean, std, generator);
    }
    
    // aten::normal.float_float(float mean, float std, int[] size, *, Generator? generator=None, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator=c10::nullopt, at::TensorOptions options={}) {
        return at::_ops::normal_float_float::redispatch(dispatchKeySet, mean, std, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::normal.float_float(float mean, float std, int[] size, *, Generator? generator=None, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::normal_float_float::redispatch(dispatchKeySet, mean, std, size, generator, dtype, layout, device, pin_memory);
    }
    
    // aten::normal.float_float_out(float mean, float std, int[] size, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::normal_float_float_out::redispatch(dispatchKeySet, mean, std, size, generator, out);
    }
    
    // aten::normal.float_float_out(float mean, float std, int[] size, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::normal_float_float_out::redispatch(dispatchKeySet, mean, std, size, generator, out);
    }
    
    // aten::alias(Tensor(a) self) -> Tensor(a)
    TORCH_API inline at::Tensor alias(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::alias::redispatch(dispatchKeySet, self);
    }
    
    // aten::_index_copy_(Tensor(a!) self, int dim, Tensor index, Tensor source) -> Tensor(a!)
    TORCH_API inline at::Tensor & _index_copy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) {
        return at::_ops::_index_copy_::redispatch(dispatchKeySet, self, dim, index, source);
    }
    
    // aten::_amp_foreach_non_finite_check_and_unscale_(Tensor(a!)[] self, Tensor(b!) found_inf, Tensor inv_scale) -> ()
    TORCH_API inline void _amp_foreach_non_finite_check_and_unscale_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::Tensor & found_inf, const at::Tensor & inv_scale) {
        return at::_ops::_amp_foreach_non_finite_check_and_unscale_::redispatch(dispatchKeySet, self, found_inf, inv_scale);
    }
    
    // aten::_amp_update_scale_(Tensor(a!) self, Tensor(b!) growth_tracker, Tensor found_inf, float scale_growth_factor, float scale_backoff_factor, int growth_interval) -> Tensor(a!)
    TORCH_API inline at::Tensor & _amp_update_scale_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Tensor & growth_tracker, const at::Tensor & found_inf, double scale_growth_factor, double scale_backoff_factor, int64_t growth_interval) {
        return at::_ops::_amp_update_scale_::redispatch(dispatchKeySet, self, growth_tracker, found_inf, scale_growth_factor, scale_backoff_factor, growth_interval);
    }
    
    // aten::_cat(Tensor[] tensors, int dim=0) -> Tensor
    TORCH_API inline at::Tensor _cat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::_cat::redispatch(dispatchKeySet, tensors, dim);
    }
    
    // aten::_cat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _cat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) {
        return at::_ops::_cat_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::_cat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _cat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) {
        return at::_ops::_cat_out::redispatch(dispatchKeySet, tensors, dim, out);
    }
    
    // aten::_foreach_add.Scalar(Tensor[] tensors, Scalar scalar) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_add(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, const at::Scalar & scalar) {
        return at::_ops::_foreach_add_Scalar::redispatch(dispatchKeySet, tensors, scalar);
    }
    
    // aten::_foreach_add_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
    TORCH_API inline void _foreach_add_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) {
        return at::_ops::_foreach_add__Scalar::redispatch(dispatchKeySet, self, scalar);
    }
    
    // aten::_foreach_sub.Scalar(Tensor[] tensors, Scalar scalar) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_sub(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, const at::Scalar & scalar) {
        return at::_ops::_foreach_sub_Scalar::redispatch(dispatchKeySet, tensors, scalar);
    }
    
    // aten::_foreach_sub_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
    TORCH_API inline void _foreach_sub_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) {
        return at::_ops::_foreach_sub__Scalar::redispatch(dispatchKeySet, self, scalar);
    }
    
    // aten::_foreach_mul.Scalar(Tensor[] tensors, Scalar scalar) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_mul(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, const at::Scalar & scalar) {
        return at::_ops::_foreach_mul_Scalar::redispatch(dispatchKeySet, tensors, scalar);
    }
    
    // aten::_foreach_mul_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
    TORCH_API inline void _foreach_mul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) {
        return at::_ops::_foreach_mul__Scalar::redispatch(dispatchKeySet, self, scalar);
    }
    
    // aten::_foreach_div.Scalar(Tensor[] tensors, Scalar scalar) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_div(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, const at::Scalar & scalar) {
        return at::_ops::_foreach_div_Scalar::redispatch(dispatchKeySet, tensors, scalar);
    }
    
    // aten::_foreach_div_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
    TORCH_API inline void _foreach_div_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) {
        return at::_ops::_foreach_div__Scalar::redispatch(dispatchKeySet, self, scalar);
    }
    
    // aten::_foreach_add.List(Tensor[] tensors1, Tensor[] tensors2, *, Scalar alpha=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_add(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors1, at::TensorList tensors2, const at::Scalar & alpha=1) {
        return at::_ops::_foreach_add_List::redispatch(dispatchKeySet, tensors1, tensors2, alpha);
    }
    
    // aten::_foreach_add_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
    TORCH_API inline void _foreach_add_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) {
        return at::_ops::_foreach_add__List::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::_foreach_sub.List(Tensor[] tensors1, Tensor[] tensors2, *, Scalar alpha=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_sub(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors1, at::TensorList tensors2, const at::Scalar & alpha=1) {
        return at::_ops::_foreach_sub_List::redispatch(dispatchKeySet, tensors1, tensors2, alpha);
    }
    
    // aten::_foreach_sub_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
    TORCH_API inline void _foreach_sub_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) {
        return at::_ops::_foreach_sub__List::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::_foreach_mul.List(Tensor[] tensors1, Tensor[] tensors2) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_mul(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors1, at::TensorList tensors2) {
        return at::_ops::_foreach_mul_List::redispatch(dispatchKeySet, tensors1, tensors2);
    }
    
    // aten::_foreach_mul_.List(Tensor(a!)[] self, Tensor[] other) -> ()
    TORCH_API inline void _foreach_mul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) {
        return at::_ops::_foreach_mul__List::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::_foreach_div.List(Tensor[] tensors1, Tensor[] tensors2) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_div(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors1, at::TensorList tensors2) {
        return at::_ops::_foreach_div_List::redispatch(dispatchKeySet, tensors1, tensors2);
    }
    
    // aten::_foreach_div_.List(Tensor(a!)[] self, Tensor[] other) -> ()
    TORCH_API inline void _foreach_div_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) {
        return at::_ops::_foreach_div__List::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::_foreach_add.ScalarList(Tensor[] tensors, Scalar[] scalars) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_add(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_add_ScalarList::redispatch(dispatchKeySet, tensors, scalars);
    }
    
    // aten::_foreach_add_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
    TORCH_API inline void _foreach_add_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_add__ScalarList::redispatch(dispatchKeySet, self, scalars);
    }
    
    // aten::_foreach_sub.ScalarList(Tensor[] tensors, Scalar[] scalars) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_sub(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_sub_ScalarList::redispatch(dispatchKeySet, tensors, scalars);
    }
    
    // aten::_foreach_sub_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
    TORCH_API inline void _foreach_sub_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_sub__ScalarList::redispatch(dispatchKeySet, self, scalars);
    }
    
    // aten::_foreach_div.ScalarList(Tensor[] tensors, Scalar[] scalars) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_div(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_div_ScalarList::redispatch(dispatchKeySet, tensors, scalars);
    }
    
    // aten::_foreach_div_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
    TORCH_API inline void _foreach_div_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_div__ScalarList::redispatch(dispatchKeySet, self, scalars);
    }
    
    // aten::_foreach_mul.ScalarList(Tensor[] tensors, Scalar[] scalars) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_mul(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_mul_ScalarList::redispatch(dispatchKeySet, tensors, scalars);
    }
    
    // aten::_foreach_mul_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
    TORCH_API inline void _foreach_mul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_mul__ScalarList::redispatch(dispatchKeySet, self, scalars);
    }
    
    // aten::_foreach_exp(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_exp(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_exp::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_zero_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_zero_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_zero_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_exp_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_exp_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_exp_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_sqrt(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_sqrt(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_sqrt::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_sqrt_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_sqrt_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_sqrt_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_abs(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_abs(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_abs::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_abs_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_abs_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_abs_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_acos(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_acos(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_acos::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_acos_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_acos_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_acos_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_asin(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_asin(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_asin::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_asin_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_asin_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_asin_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_atan(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_atan(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_atan::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_atan_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_atan_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_atan_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_ceil(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_ceil(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_ceil::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_ceil_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_ceil_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_ceil_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_cos(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_cos(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_cos::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_cos_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_cos_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_cos_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_cosh(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_cosh(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_cosh::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_cosh_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_cosh_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_cosh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_erf(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_erf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_erf::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_erf_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_erf_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_erf_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_erfc(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_erfc(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_erfc::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_erfc_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_erfc_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_erfc_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_expm1(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_expm1(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_expm1::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_expm1_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_expm1_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_expm1_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_floor(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_floor(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_floor::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_floor_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_floor_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_floor_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_log(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_log(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_log::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_log_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_log_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_log_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_log10(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_log10(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_log10::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_log10_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_log10_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_log10_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_log1p(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_log1p(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_log1p::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_log1p_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_log1p_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_log1p_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_log2(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_log2(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_log2::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_log2_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_log2_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_log2_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_neg(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_neg(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_neg::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_neg_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_neg_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_neg_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_tan(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_tan(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_tan::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_tan_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_tan_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_tan_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_tanh(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_tanh(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_tanh::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_tanh_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_tanh_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_tanh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_sin(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_sin(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_sin::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_sin_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_sin_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_sin_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_sinh(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_sinh(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_sinh::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_sinh_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_sinh_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_sinh_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_round(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_round(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_round::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_round_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_round_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_round_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_lgamma(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_lgamma(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_lgamma::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_lgamma_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_lgamma_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_lgamma_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_frac(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_frac(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_frac::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_frac_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_frac_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_frac_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_reciprocal(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_reciprocal(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_reciprocal::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_reciprocal_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_reciprocal_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_reciprocal_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_sigmoid(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_sigmoid(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_sigmoid::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_sigmoid_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_sigmoid_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_sigmoid_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_trunc(Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_trunc(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::_foreach_trunc::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::_foreach_trunc_(Tensor(a!)[] self) -> ()
    TORCH_API inline void _foreach_trunc_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) {
        return at::_ops::_foreach_trunc_::redispatch(dispatchKeySet, self);
    }
    
    // aten::_foreach_addcdiv_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
    TORCH_API inline void _foreach_addcdiv_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) {
        return at::_ops::_foreach_addcdiv__Scalar::redispatch(dispatchKeySet, self, tensor1, tensor2, value);
    }
    
    // aten::_foreach_addcmul_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
    TORCH_API inline void _foreach_addcmul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) {
        return at::_ops::_foreach_addcmul__Scalar::redispatch(dispatchKeySet, self, tensor1, tensor2, value);
    }
    
    // aten::_foreach_addcdiv_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
    TORCH_API inline void _foreach_addcdiv_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_addcdiv__ScalarList::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars);
    }
    
    // aten::_foreach_addcmul_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
    TORCH_API inline void _foreach_addcmul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_addcmul__ScalarList::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars);
    }
    
    // aten::_foreach_addcdiv.Scalar(Tensor[] input, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_addcdiv(c10::DispatchKeySet dispatchKeySet, at::TensorList input, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) {
        return at::_ops::_foreach_addcdiv_Scalar::redispatch(dispatchKeySet, input, tensor1, tensor2, value);
    }
    
    // aten::_foreach_addcmul.Scalar(Tensor[] input, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_addcmul(c10::DispatchKeySet dispatchKeySet, at::TensorList input, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) {
        return at::_ops::_foreach_addcmul_Scalar::redispatch(dispatchKeySet, input, tensor1, tensor2, value);
    }
    
    // aten::_foreach_addcdiv.ScalarList(Tensor[] input, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_addcdiv(c10::DispatchKeySet dispatchKeySet, at::TensorList input, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_addcdiv_ScalarList::redispatch(dispatchKeySet, input, tensor1, tensor2, scalars);
    }
    
    // aten::_foreach_addcmul.ScalarList(Tensor[] input, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_addcmul(c10::DispatchKeySet dispatchKeySet, at::TensorList input, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) {
        return at::_ops::_foreach_addcmul_ScalarList::redispatch(dispatchKeySet, input, tensor1, tensor2, scalars);
    }
    
    // aten::_foreach_maximum.List(Tensor[] tensors1, Tensor[] tensors2) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_maximum(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors1, at::TensorList tensors2) {
        return at::_ops::_foreach_maximum_List::redispatch(dispatchKeySet, tensors1, tensors2);
    }
    
    // aten::_foreach_minimum.List(Tensor[] tensors1, Tensor[] tensors2) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> _foreach_minimum(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors1, at::TensorList tensors2) {
        return at::_ops::_foreach_minimum_List::redispatch(dispatchKeySet, tensors1, tensors2);
    }
    
    // aten::bucketize.Tensor(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
    TORCH_API inline at::Tensor bucketize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & boundaries, bool out_int32=false, bool right=false) {
        return at::_ops::bucketize_Tensor::redispatch(dispatchKeySet, self, boundaries, out_int32, right);
    }
    
    // aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bucketize_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & boundaries, bool out_int32=false, bool right=false) {
        return at::_ops::bucketize_Tensor_out::redispatch(dispatchKeySet, self, boundaries, out_int32, right, out);
    }
    
    // aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & bucketize_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & boundaries, bool out_int32, bool right, at::Tensor & out) {
        return at::_ops::bucketize_Tensor_out::redispatch(dispatchKeySet, self, boundaries, out_int32, right, out);
    }
    
    // aten::bucketize.Scalar(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
    TORCH_API inline at::Tensor bucketize(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & boundaries, bool out_int32=false, bool right=false) {
        return at::_ops::bucketize_Scalar::redispatch(dispatchKeySet, self, boundaries, out_int32, right);
    }
    
    // aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False) -> Tensor
    TORCH_API inline at::Tensor searchsorted(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sorted_sequence, const at::Tensor & self, bool out_int32=false, bool right=false) {
        return at::_ops::searchsorted_Tensor::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right);
    }
    
    // aten::searchsorted.Tensor_out(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & searchsorted_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & sorted_sequence, const at::Tensor & self, bool out_int32=false, bool right=false) {
        return at::_ops::searchsorted_Tensor_out::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, out);
    }
    
    // aten::searchsorted.Tensor_out(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & searchsorted_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sorted_sequence, const at::Tensor & self, bool out_int32, bool right, at::Tensor & out) {
        return at::_ops::searchsorted_Tensor_out::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, out);
    }
    
    // aten::searchsorted.Scalar(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False) -> Tensor
    TORCH_API inline at::Tensor searchsorted(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sorted_sequence, const at::Scalar & self, bool out_int32=false, bool right=false) {
        return at::_ops::searchsorted_Scalar::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right);
    }
    
    // aten::_convert_indices_from_coo_to_csr(Tensor self, int size, *, bool out_int32=False) -> Tensor
    TORCH_API inline at::Tensor _convert_indices_from_coo_to_csr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t size, bool out_int32=false) {
        return at::_ops::_convert_indices_from_coo_to_csr::redispatch(dispatchKeySet, self, size, out_int32);
    }
    
    // aten::_convert_indices_from_coo_to_csr.out(Tensor self, int size, *, bool out_int32=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _convert_indices_from_coo_to_csr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t size, bool out_int32=false) {
        return at::_ops::_convert_indices_from_coo_to_csr_out::redispatch(dispatchKeySet, self, size, out_int32, out);
    }
    
    // aten::_convert_indices_from_coo_to_csr.out(Tensor self, int size, *, bool out_int32=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & _convert_indices_from_coo_to_csr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t size, bool out_int32, at::Tensor & out) {
        return at::_ops::_convert_indices_from_coo_to_csr_out::redispatch(dispatchKeySet, self, size, out_int32, out);
    }
    
    // aten::mse_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mse_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::mse_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::mse_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & mse_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) {
        return at::_ops::mse_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::mse_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor mse_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::mse_loss::redispatch(dispatchKeySet, self, target, reduction);
    }
    
    // aten::mse_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & mse_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::mse_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input);
    }
    
    // aten::mse_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & mse_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & grad_input) {
        return at::_ops::mse_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input);
    }
    
    // aten::mse_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction) -> Tensor
    TORCH_API inline at::Tensor mse_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::mse_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction);
    }
    
    // aten::l1_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & l1_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::l1_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::l1_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & l1_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) {
        return at::_ops::l1_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::l1_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor l1_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::l1_loss::redispatch(dispatchKeySet, self, target, reduction);
    }
    
    // aten::l1_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & l1_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::l1_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input);
    }
    
    // aten::l1_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & l1_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & grad_input) {
        return at::_ops::l1_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input);
    }
    
    // aten::l1_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction) -> Tensor
    TORCH_API inline at::Tensor l1_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::l1_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction);
    }
    
    // aten::multi_margin_loss.out(Tensor self, Tensor target, Scalar p=1, Scalar margin=1, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multi_margin_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p=1, const at::Scalar & margin=1, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::multi_margin_loss_out::redispatch(dispatchKeySet, self, target, p, margin, weight, reduction, out);
    }
    
    // aten::multi_margin_loss.out(Tensor self, Tensor target, Scalar p=1, Scalar margin=1, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multi_margin_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & out) {
        return at::_ops::multi_margin_loss_out::redispatch(dispatchKeySet, self, target, p, margin, weight, reduction, out);
    }
    
    // aten::multi_margin_loss(Tensor self, Tensor target, Scalar p=1, Scalar margin=1, Tensor? weight=None, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor multi_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p=1, const at::Scalar & margin=1, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::multi_margin_loss::redispatch(dispatchKeySet, self, target, p, margin, weight, reduction);
    }
    
    // aten::multi_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & multi_margin_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::multi_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, p, margin, weight, reduction, grad_input);
    }
    
    // aten::multi_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & multi_margin_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & grad_input) {
        return at::_ops::multi_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, p, margin, weight, reduction, grad_input);
    }
    
    // aten::multi_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, Tensor? weight=None, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor multi_margin_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::multi_margin_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, p, margin, weight, reduction);
    }
    
    // aten::multilabel_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multilabel_margin_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::multilabel_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::multilabel_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & multilabel_margin_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) {
        return at::_ops::multilabel_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::multilabel_margin_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor multilabel_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::multilabel_margin_loss::redispatch(dispatchKeySet, self, target, reduction);
    }
    
    // aten::multilabel_margin_loss_forward.output(Tensor self, Tensor target, int reduction, *, Tensor(a!) output, Tensor(b!) is_target) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> multilabel_margin_loss_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & is_target, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::multilabel_margin_loss_forward_output::redispatch(dispatchKeySet, self, target, reduction, output, is_target);
    }
    
    // aten::multilabel_margin_loss_forward.output(Tensor self, Tensor target, int reduction, *, Tensor(a!) output, Tensor(b!) is_target) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> multilabel_margin_loss_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & output, at::Tensor & is_target) {
        return at::_ops::multilabel_margin_loss_forward_output::redispatch(dispatchKeySet, self, target, reduction, output, is_target);
    }
    
    // aten::multilabel_margin_loss_forward(Tensor self, Tensor target, int reduction) -> (Tensor output, Tensor is_target)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> multilabel_margin_loss_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::multilabel_margin_loss_forward::redispatch(dispatchKeySet, self, target, reduction);
    }
    
    // aten::multilabel_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & multilabel_margin_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target) {
        return at::_ops::multilabel_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, is_target, grad_input);
    }
    
    // aten::multilabel_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & multilabel_margin_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target, at::Tensor & grad_input) {
        return at::_ops::multilabel_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, is_target, grad_input);
    }
    
    // aten::multilabel_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target) -> Tensor
    TORCH_API inline at::Tensor multilabel_margin_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target) {
        return at::_ops::multilabel_margin_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction, is_target);
    }
    
    // aten::nll_loss.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) {
        return at::_ops::nll_loss_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out);
    }
    
    // aten::nll_loss.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & out) {
        return at::_ops::nll_loss_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out);
    }
    
    // aten::nll_loss_nd(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100) -> Tensor
    TORCH_API inline at::Tensor nll_loss_nd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) {
        return at::_ops::nll_loss_nd::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index);
    }
    
    // aten::nll_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100) -> Tensor
    TORCH_API inline at::Tensor nll_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) {
        return at::_ops::nll_loss::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index);
    }
    
    // aten::nll_loss_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & total_weight, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) {
        return at::_ops::nll_loss_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight);
    }
    
    // aten::nll_loss_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & output, at::Tensor & total_weight) {
        return at::_ops::nll_loss_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight);
    }
    
    // aten::nll_loss_forward(Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index) -> (Tensor output, Tensor total_weight)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> nll_loss_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) {
        return at::_ops::nll_loss_forward::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index);
    }
    
    // aten::nll_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) {
        return at::_ops::nll_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input);
    }
    
    // aten::nll_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input) {
        return at::_ops::nll_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input);
    }
    
    // aten::nll_loss_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, Tensor total_weight) -> Tensor
    TORCH_API inline at::Tensor nll_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) {
        return at::_ops::nll_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight);
    }
    
    // aten::nll_loss2d.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) {
        return at::_ops::nll_loss2d_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out);
    }
    
    // aten::nll_loss2d.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & out) {
        return at::_ops::nll_loss2d_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out);
    }
    
    // aten::nll_loss2d(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, int ignore_index=-100) -> Tensor
    TORCH_API inline at::Tensor nll_loss2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) {
        return at::_ops::nll_loss2d::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index);
    }
    
    // aten::nll_loss2d_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss2d_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & total_weight, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) {
        return at::_ops::nll_loss2d_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight);
    }
    
    // aten::nll_loss2d_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss2d_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & output, at::Tensor & total_weight) {
        return at::_ops::nll_loss2d_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight);
    }
    
    // aten::nll_loss2d_forward(Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index) -> (Tensor output, Tensor total_weight)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> nll_loss2d_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) {
        return at::_ops::nll_loss2d_forward::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index);
    }
    
    // aten::nll_loss2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) {
        return at::_ops::nll_loss2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input);
    }
    
    // aten::nll_loss2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & nll_loss2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input) {
        return at::_ops::nll_loss2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input);
    }
    
    // aten::nll_loss2d_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, int ignore_index, Tensor total_weight) -> Tensor
    TORCH_API inline at::Tensor nll_loss2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) {
        return at::_ops::nll_loss2d_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight);
    }
    
    // aten::smooth_l1_loss.out(Tensor self, Tensor target, int reduction=Mean, float beta=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & smooth_l1_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double beta=1.0) {
        return at::_ops::smooth_l1_loss_out::redispatch(dispatchKeySet, self, target, reduction, beta, out);
    }
    
    // aten::smooth_l1_loss.out(Tensor self, Tensor target, int reduction=Mean, float beta=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & smooth_l1_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta, at::Tensor & out) {
        return at::_ops::smooth_l1_loss_out::redispatch(dispatchKeySet, self, target, reduction, beta, out);
    }
    
    // aten::smooth_l1_loss(Tensor self, Tensor target, int reduction=Mean, float beta=1.0) -> Tensor
    TORCH_API inline at::Tensor smooth_l1_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double beta=1.0) {
        return at::_ops::smooth_l1_loss::redispatch(dispatchKeySet, self, target, reduction, beta);
    }
    
    // aten::smooth_l1_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, float beta, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & smooth_l1_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta) {
        return at::_ops::smooth_l1_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, beta, grad_input);
    }
    
    // aten::smooth_l1_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, float beta, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & smooth_l1_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta, at::Tensor & grad_input) {
        return at::_ops::smooth_l1_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, beta, grad_input);
    }
    
    // aten::smooth_l1_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction, float beta) -> Tensor
    TORCH_API inline at::Tensor smooth_l1_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta) {
        return at::_ops::smooth_l1_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction, beta);
    }
    
    // aten::huber_loss.out(Tensor self, Tensor target, int reduction=Mean, float delta=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & huber_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double delta=1.0) {
        return at::_ops::huber_loss_out::redispatch(dispatchKeySet, self, target, reduction, delta, out);
    }
    
    // aten::huber_loss.out(Tensor self, Tensor target, int reduction=Mean, float delta=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & huber_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta, at::Tensor & out) {
        return at::_ops::huber_loss_out::redispatch(dispatchKeySet, self, target, reduction, delta, out);
    }
    
    // aten::huber_loss(Tensor self, Tensor target, int reduction=Mean, float delta=1.0) -> Tensor
    TORCH_API inline at::Tensor huber_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double delta=1.0) {
        return at::_ops::huber_loss::redispatch(dispatchKeySet, self, target, reduction, delta);
    }
    
    // aten::huber_loss_backward.out(Tensor grad_output, Tensor self, Tensor target, int reduction, float delta, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & huber_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta) {
        return at::_ops::huber_loss_backward_out::redispatch(dispatchKeySet, grad_output, self, target, reduction, delta, grad_input);
    }
    
    // aten::huber_loss_backward.out(Tensor grad_output, Tensor self, Tensor target, int reduction, float delta, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & huber_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta, at::Tensor & grad_input) {
        return at::_ops::huber_loss_backward_out::redispatch(dispatchKeySet, grad_output, self, target, reduction, delta, grad_input);
    }
    
    // aten::huber_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction, float delta) -> Tensor
    TORCH_API inline at::Tensor huber_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta) {
        return at::_ops::huber_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction, delta);
    }
    
    // aten::soft_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & soft_margin_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::soft_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::soft_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & soft_margin_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) {
        return at::_ops::soft_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out);
    }
    
    // aten::soft_margin_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor
    TORCH_API inline at::Tensor soft_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
        return at::_ops::soft_margin_loss::redispatch(dispatchKeySet, self, target, reduction);
    }
    
    // aten::soft_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & soft_margin_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::soft_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input);
    }
    
    // aten::soft_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & soft_margin_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & grad_input) {
        return at::_ops::soft_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input);
    }
    
    // aten::soft_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction) -> Tensor
    TORCH_API inline at::Tensor soft_margin_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) {
        return at::_ops::soft_margin_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction);
    }
    
    // aten::elu.out(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & elu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1) {
        return at::_ops::elu_out::redispatch(dispatchKeySet, self, alpha, scale, input_scale, out);
    }
    
    // aten::elu.out(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & elu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, at::Tensor & out) {
        return at::_ops::elu_out::redispatch(dispatchKeySet, self, alpha, scale, input_scale, out);
    }
    
    // aten::elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> Tensor
    TORCH_API inline at::Tensor elu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1) {
        return at::_ops::elu::redispatch(dispatchKeySet, self, alpha, scale, input_scale);
    }
    
    // aten::elu_backward.grad_input(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, bool is_result, Tensor self_or_result, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & elu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result) {
        return at::_ops::elu_backward_grad_input::redispatch(dispatchKeySet, grad_output, alpha, scale, input_scale, is_result, self_or_result, grad_input);
    }
    
    // aten::elu_backward.grad_input(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, bool is_result, Tensor self_or_result, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & elu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result, at::Tensor & grad_input) {
        return at::_ops::elu_backward_grad_input::redispatch(dispatchKeySet, grad_output, alpha, scale, input_scale, is_result, self_or_result, grad_input);
    }
    
    // aten::elu_backward(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, bool is_result, Tensor self_or_result) -> Tensor
    TORCH_API inline at::Tensor elu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result) {
        return at::_ops::elu_backward::redispatch(dispatchKeySet, grad_output, alpha, scale, input_scale, is_result, self_or_result);
    }
    
    // aten::elu_(Tensor(a!) self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & elu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1) {
        return at::_ops::elu_::redispatch(dispatchKeySet, self, alpha, scale, input_scale);
    }
    
    // aten::glu.out(Tensor self, int dim=-1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & glu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim=-1) {
        return at::_ops::glu_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::glu.out(Tensor self, int dim=-1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & glu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) {
        return at::_ops::glu_out::redispatch(dispatchKeySet, self, dim, out);
    }
    
    // aten::glu(Tensor self, int dim=-1) -> Tensor
    TORCH_API inline at::Tensor glu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1) {
        return at::_ops::glu::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::glu_backward.grad_input(Tensor grad_output, Tensor self, int dim, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & glu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim) {
        return at::_ops::glu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, dim, grad_input);
    }
    
    // aten::glu_backward.grad_input(Tensor grad_output, Tensor self, int dim, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & glu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim, at::Tensor & grad_input) {
        return at::_ops::glu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, dim, grad_input);
    }
    
    // aten::glu_backward(Tensor grad_output, Tensor self, int dim) -> Tensor
    TORCH_API inline at::Tensor glu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim) {
        return at::_ops::glu_backward::redispatch(dispatchKeySet, grad_output, self, dim);
    }
    
    // aten::hardsigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardsigmoid_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::hardsigmoid_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::hardsigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardsigmoid_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::hardsigmoid_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::hardsigmoid(Tensor self) -> Tensor
    TORCH_API inline at::Tensor hardsigmoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::hardsigmoid::redispatch(dispatchKeySet, self);
    }
    
    // aten::hardsigmoid_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardsigmoid_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::hardsigmoid_::redispatch(dispatchKeySet, self);
    }
    
    // aten::hardsigmoid_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardsigmoid_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::hardsigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input);
    }
    
    // aten::hardsigmoid_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardsigmoid_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input) {
        return at::_ops::hardsigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input);
    }
    
    // aten::hardsigmoid_backward(Tensor grad_output, Tensor self) -> Tensor
    TORCH_API inline at::Tensor hardsigmoid_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::hardsigmoid_backward::redispatch(dispatchKeySet, grad_output, self);
    }
    
    // aten::hardtanh.out(Tensor self, Scalar min_val=-1, Scalar max_val=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardtanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & min_val=-1, const at::Scalar & max_val=1) {
        return at::_ops::hardtanh_out::redispatch(dispatchKeySet, self, min_val, max_val, out);
    }
    
    // aten::hardtanh.out(Tensor self, Scalar min_val=-1, Scalar max_val=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardtanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val, at::Tensor & out) {
        return at::_ops::hardtanh_out::redispatch(dispatchKeySet, self, min_val, max_val, out);
    }
    
    // aten::hardtanh(Tensor self, Scalar min_val=-1, Scalar max_val=1) -> Tensor
    TORCH_API inline at::Tensor hardtanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min_val=-1, const at::Scalar & max_val=1) {
        return at::_ops::hardtanh::redispatch(dispatchKeySet, self, min_val, max_val);
    }
    
    // aten::hardtanh_backward.grad_input(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardtanh_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val) {
        return at::_ops::hardtanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, min_val, max_val, grad_input);
    }
    
    // aten::hardtanh_backward.grad_input(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardtanh_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val, at::Tensor & grad_input) {
        return at::_ops::hardtanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, min_val, max_val, grad_input);
    }
    
    // aten::hardtanh_backward(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val) -> Tensor
    TORCH_API inline at::Tensor hardtanh_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val) {
        return at::_ops::hardtanh_backward::redispatch(dispatchKeySet, grad_output, self, min_val, max_val);
    }
    
    // aten::hardtanh_(Tensor(a!) self, Scalar min_val=-1, Scalar max_val=1) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardtanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & min_val=-1, const at::Scalar & max_val=1) {
        return at::_ops::hardtanh_::redispatch(dispatchKeySet, self, min_val, max_val);
    }
    
    // aten::hardswish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardswish_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::hardswish_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::hardswish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardswish_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::hardswish_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::hardswish(Tensor self) -> Tensor
    TORCH_API inline at::Tensor hardswish(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::hardswish::redispatch(dispatchKeySet, self);
    }
    
    // aten::hardswish_(Tensor(a!) self) -> Tensor(a!)
    TORCH_API inline at::Tensor & hardswish_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) {
        return at::_ops::hardswish_::redispatch(dispatchKeySet, self);
    }
    
    // aten::hardswish_backward(Tensor grad_output, Tensor self) -> Tensor
    TORCH_API inline at::Tensor hardswish_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::hardswish_backward::redispatch(dispatchKeySet, grad_output, self);
    }
    
    // aten::leaky_relu.out(Tensor self, Scalar negative_slope=0.01, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & leaky_relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & negative_slope=0.01) {
        return at::_ops::leaky_relu_out::redispatch(dispatchKeySet, self, negative_slope, out);
    }
    
    // aten::leaky_relu.out(Tensor self, Scalar negative_slope=0.01, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & leaky_relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & negative_slope, at::Tensor & out) {
        return at::_ops::leaky_relu_out::redispatch(dispatchKeySet, self, negative_slope, out);
    }
    
    // aten::leaky_relu(Tensor self, Scalar negative_slope=0.01) -> Tensor
    TORCH_API inline at::Tensor leaky_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & negative_slope=0.01) {
        return at::_ops::leaky_relu::redispatch(dispatchKeySet, self, negative_slope);
    }
    
    // aten::leaky_relu_backward.grad_input(Tensor grad_output, Tensor self, Scalar negative_slope, bool self_is_result, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & leaky_relu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result) {
        return at::_ops::leaky_relu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, negative_slope, self_is_result, grad_input);
    }
    
    // aten::leaky_relu_backward.grad_input(Tensor grad_output, Tensor self, Scalar negative_slope, bool self_is_result, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & leaky_relu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result, at::Tensor & grad_input) {
        return at::_ops::leaky_relu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, negative_slope, self_is_result, grad_input);
    }
    
    // aten::leaky_relu_backward(Tensor grad_output, Tensor self, Scalar negative_slope, bool self_is_result) -> Tensor
    TORCH_API inline at::Tensor leaky_relu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result) {
        return at::_ops::leaky_relu_backward::redispatch(dispatchKeySet, grad_output, self, negative_slope, self_is_result);
    }
    
    // aten::leaky_relu_(Tensor(a!) self, Scalar negative_slope=0.01) -> Tensor(a!)
    TORCH_API inline at::Tensor & leaky_relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & negative_slope=0.01) {
        return at::_ops::leaky_relu_::redispatch(dispatchKeySet, self, negative_slope);
    }
    
    // aten::log_sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_sigmoid_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::log_sigmoid_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log_sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_sigmoid_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::log_sigmoid_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::log_sigmoid(Tensor self) -> Tensor
    TORCH_API inline at::Tensor log_sigmoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::log_sigmoid::redispatch(dispatchKeySet, self);
    }
    
    // aten::log_sigmoid_forward.output(Tensor self, *, Tensor(a!) output, Tensor(b!) buffer) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> log_sigmoid_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & buffer, const at::Tensor & self) {
        return at::_ops::log_sigmoid_forward_output::redispatch(dispatchKeySet, self, output, buffer);
    }
    
    // aten::log_sigmoid_forward.output(Tensor self, *, Tensor(a!) output, Tensor(b!) buffer) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> log_sigmoid_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & output, at::Tensor & buffer) {
        return at::_ops::log_sigmoid_forward_output::redispatch(dispatchKeySet, self, output, buffer);
    }
    
    // aten::log_sigmoid_forward(Tensor self) -> (Tensor output, Tensor buffer)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> log_sigmoid_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::log_sigmoid_forward::redispatch(dispatchKeySet, self);
    }
    
    // aten::log_sigmoid_backward.grad_input(Tensor grad_output, Tensor self, Tensor buffer, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_sigmoid_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer) {
        return at::_ops::log_sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, buffer, grad_input);
    }
    
    // aten::log_sigmoid_backward.grad_input(Tensor grad_output, Tensor self, Tensor buffer, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & log_sigmoid_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer, at::Tensor & grad_input) {
        return at::_ops::log_sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, buffer, grad_input);
    }
    
    // aten::log_sigmoid_backward(Tensor grad_output, Tensor self, Tensor buffer) -> Tensor
    TORCH_API inline at::Tensor log_sigmoid_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer) {
        return at::_ops::log_sigmoid_backward::redispatch(dispatchKeySet, grad_output, self, buffer);
    }
    
    // aten::rrelu_with_noise.out(Tensor self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rrelu_with_noise_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::rrelu_with_noise_out::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator, out);
    }
    
    // aten::rrelu_with_noise.out(Tensor self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & rrelu_with_noise_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower, const at::Scalar & upper, bool training, c10::optional<at::Generator> generator, at::Tensor & out) {
        return at::_ops::rrelu_with_noise_out::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator, out);
    }
    
    // aten::rrelu_with_noise(Tensor self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor
    TORCH_API inline at::Tensor rrelu_with_noise(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::rrelu_with_noise::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator);
    }
    
    // aten::rrelu_with_noise_backward(Tensor grad_output, Tensor self, Tensor noise, Scalar lower, Scalar upper, bool training, bool self_is_result) -> Tensor
    TORCH_API inline at::Tensor rrelu_with_noise_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower, const at::Scalar & upper, bool training, bool self_is_result) {
        return at::_ops::rrelu_with_noise_backward::redispatch(dispatchKeySet, grad_output, self, noise, lower, upper, training, self_is_result);
    }
    
    // aten::rrelu_with_noise_(Tensor(a!) self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor(a!)
    TORCH_API inline at::Tensor & rrelu_with_noise_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) {
        return at::_ops::rrelu_with_noise_::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator);
    }
    
    // aten::softplus.out(Tensor self, Scalar beta=1, Scalar threshold=20, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & softplus_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & beta=1, const at::Scalar & threshold=20) {
        return at::_ops::softplus_out::redispatch(dispatchKeySet, self, beta, threshold, out);
    }
    
    // aten::softplus.out(Tensor self, Scalar beta=1, Scalar threshold=20, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & softplus_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, at::Tensor & out) {
        return at::_ops::softplus_out::redispatch(dispatchKeySet, self, beta, threshold, out);
    }
    
    // aten::softplus(Tensor self, Scalar beta=1, Scalar threshold=20) -> Tensor
    TORCH_API inline at::Tensor softplus(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & beta=1, const at::Scalar & threshold=20) {
        return at::_ops::softplus::redispatch(dispatchKeySet, self, beta, threshold);
    }
    
    // aten::softplus_backward.grad_input(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & softplus_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, const at::Tensor & output) {
        return at::_ops::softplus_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, beta, threshold, output, grad_input);
    }
    
    // aten::softplus_backward.grad_input(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & softplus_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, const at::Tensor & output, at::Tensor & grad_input) {
        return at::_ops::softplus_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, beta, threshold, output, grad_input);
    }
    
    // aten::softplus_backward(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output) -> Tensor
    TORCH_API inline at::Tensor softplus_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, const at::Tensor & output) {
        return at::_ops::softplus_backward::redispatch(dispatchKeySet, grad_output, self, beta, threshold, output);
    }
    
    // aten::softshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & softshrink_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & lambd=0.5) {
        return at::_ops::softshrink_out::redispatch(dispatchKeySet, self, lambd, out);
    }
    
    // aten::softshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & softshrink_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & out) {
        return at::_ops::softshrink_out::redispatch(dispatchKeySet, self, lambd, out);
    }
    
    // aten::softshrink(Tensor self, Scalar lambd=0.5) -> Tensor
    TORCH_API inline at::Tensor softshrink(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd=0.5) {
        return at::_ops::softshrink::redispatch(dispatchKeySet, self, lambd);
    }
    
    // aten::softshrink_backward.grad_input(Tensor grad_output, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & softshrink_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd) {
        return at::_ops::softshrink_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, lambd, grad_input);
    }
    
    // aten::softshrink_backward.grad_input(Tensor grad_output, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & softshrink_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & grad_input) {
        return at::_ops::softshrink_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, lambd, grad_input);
    }
    
    // aten::softshrink_backward(Tensor grad_output, Tensor self, Scalar lambd) -> Tensor
    TORCH_API inline at::Tensor softshrink_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd) {
        return at::_ops::softshrink_backward::redispatch(dispatchKeySet, grad_output, self, lambd);
    }
    
    // aten::adaptive_avg_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_avg_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out);
    }
    
    // aten::adaptive_avg_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_avg_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) {
        return at::_ops::adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out);
    }
    
    // aten::adaptive_avg_pool2d(Tensor self, int[2] output_size) -> Tensor
    TORCH_API inline at::Tensor adaptive_avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_avg_pool2d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::mkldnn_adaptive_avg_pool2d(Tensor self, int[2] output_size) -> Tensor
    TORCH_API inline at::Tensor mkldnn_adaptive_avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::mkldnn_adaptive_avg_pool2d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::mkldnn_adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self) -> Tensor
    TORCH_API inline at::Tensor mkldnn_adaptive_avg_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::mkldnn_adaptive_avg_pool2d_backward::redispatch(dispatchKeySet, grad_output, self);
    }
    
    // aten::_adaptive_avg_pool2d(Tensor self, int[2] output_size) -> Tensor
    TORCH_API inline at::Tensor _adaptive_avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::_adaptive_avg_pool2d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::_adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self) -> Tensor
    TORCH_API inline at::Tensor _adaptive_avg_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::_adaptive_avg_pool2d_backward::redispatch(dispatchKeySet, grad_output, self);
    }
    
    // aten::adaptive_avg_pool3d.out(Tensor self, int[3] output_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_avg_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, output_size, out);
    }
    
    // aten::adaptive_avg_pool3d.out(Tensor self, int[3] output_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_avg_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) {
        return at::_ops::adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, output_size, out);
    }
    
    // aten::adaptive_avg_pool3d(Tensor self, int[3] output_size) -> Tensor
    TORCH_API inline at::Tensor adaptive_avg_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_avg_pool3d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::_adaptive_avg_pool3d(Tensor self, int[3] output_size) -> Tensor
    TORCH_API inline at::Tensor _adaptive_avg_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::_adaptive_avg_pool3d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::adaptive_avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_avg_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::adaptive_avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input);
    }
    
    // aten::adaptive_avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_avg_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input) {
        return at::_ops::adaptive_avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input);
    }
    
    // aten::_adaptive_avg_pool3d_backward(Tensor grad_output, Tensor self) -> Tensor
    TORCH_API inline at::Tensor _adaptive_avg_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) {
        return at::_ops::_adaptive_avg_pool3d_backward::redispatch(dispatchKeySet, grad_output, self);
    }
    
    // aten::adaptive_max_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_max_pool2d_out::redispatch(dispatchKeySet, self, output_size, out, indices);
    }
    
    // aten::adaptive_max_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out, at::Tensor & indices) {
        return at::_ops::adaptive_max_pool2d_out::redispatch(dispatchKeySet, self, output_size, out, indices);
    }
    
    // aten::adaptive_max_pool2d(Tensor self, int[2] output_size) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> adaptive_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_max_pool2d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::adaptive_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_max_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) {
        return at::_ops::adaptive_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input);
    }
    
    // aten::adaptive_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_max_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::Tensor & grad_input) {
        return at::_ops::adaptive_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input);
    }
    
    // aten::adaptive_max_pool2d_backward(Tensor grad_output, Tensor self, Tensor indices) -> Tensor
    TORCH_API inline at::Tensor adaptive_max_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) {
        return at::_ops::adaptive_max_pool2d_backward::redispatch(dispatchKeySet, grad_output, self, indices);
    }
    
    // aten::adaptive_max_pool3d.out(Tensor self, int[3] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_max_pool3d_out::redispatch(dispatchKeySet, self, output_size, out, indices);
    }
    
    // aten::adaptive_max_pool3d.out(Tensor self, int[3] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out, at::Tensor & indices) {
        return at::_ops::adaptive_max_pool3d_out::redispatch(dispatchKeySet, self, output_size, out, indices);
    }
    
    // aten::adaptive_max_pool3d(Tensor self, int[3] output_size) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> adaptive_max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) {
        return at::_ops::adaptive_max_pool3d::redispatch(dispatchKeySet, self, output_size);
    }
    
    // aten::adaptive_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_max_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) {
        return at::_ops::adaptive_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input);
    }
    
    // aten::adaptive_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & adaptive_max_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::Tensor & grad_input) {
        return at::_ops::adaptive_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input);
    }
    
    // aten::adaptive_max_pool3d_backward(Tensor grad_output, Tensor self, Tensor indices) -> Tensor
    TORCH_API inline at::Tensor adaptive_max_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) {
        return at::_ops::adaptive_max_pool3d_backward::redispatch(dispatchKeySet, grad_output, self, indices);
    }
    
    // aten::avg_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) {
        return at::_ops::avg_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out);
    }
    
    // aten::avg_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & out) {
        return at::_ops::avg_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out);
    }
    
    // aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor
    TORCH_API inline at::Tensor avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) {
        return at::_ops::avg_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override);
    }
    
    // aten::avg_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) {
        return at::_ops::avg_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input);
    }
    
    // aten::avg_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & grad_input) {
        return at::_ops::avg_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input);
    }
    
    // aten::avg_pool2d_backward(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, bool ceil_mode, bool count_include_pad, int? divisor_override) -> Tensor
    TORCH_API inline at::Tensor avg_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) {
        return at::_ops::avg_pool2d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override);
    }
    
    // aten::avg_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) {
        return at::_ops::avg_pool3d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out);
    }
    
    // aten::avg_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & out) {
        return at::_ops::avg_pool3d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out);
    }
    
    // aten::avg_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor
    TORCH_API inline at::Tensor avg_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) {
        return at::_ops::avg_pool3d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override);
    }
    
    // aten::avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) {
        return at::_ops::avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input);
    }
    
    // aten::avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & avg_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & grad_input) {
        return at::_ops::avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input);
    }
    
    // aten::avg_pool3d_backward(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, bool ceil_mode, bool count_include_pad, int? divisor_override) -> Tensor
    TORCH_API inline at::Tensor avg_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) {
        return at::_ops::avg_pool3d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override);
    }
    
    // aten::fractional_max_pool2d.output(Tensor self, int[2] kernel_size, int[2] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) {
        return at::_ops::fractional_max_pool2d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices);
    }
    
    // aten::fractional_max_pool2d.output(Tensor self, int[2] kernel_size, int[2] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples, at::Tensor & output, at::Tensor & indices) {
        return at::_ops::fractional_max_pool2d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices);
    }
    
    // aten::fractional_max_pool2d(Tensor self, int[2] kernel_size, int[2] output_size, Tensor random_samples) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> fractional_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) {
        return at::_ops::fractional_max_pool2d::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples);
    }
    
    // aten::fractional_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & fractional_max_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) {
        return at::_ops::fractional_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input);
    }
    
    // aten::fractional_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & fractional_max_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices, at::Tensor & grad_input) {
        return at::_ops::fractional_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input);
    }
    
    // aten::fractional_max_pool2d_backward(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] output_size, Tensor indices) -> Tensor
    TORCH_API inline at::Tensor fractional_max_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) {
        return at::_ops::fractional_max_pool2d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices);
    }
    
    // aten::fractional_max_pool3d.output(Tensor self, int[3] kernel_size, int[3] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) {
        return at::_ops::fractional_max_pool3d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices);
    }
    
    // aten::fractional_max_pool3d.output(Tensor self, int[3] kernel_size, int[3] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples, at::Tensor & output, at::Tensor & indices) {
        return at::_ops::fractional_max_pool3d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices);
    }
    
    // aten::fractional_max_pool3d(Tensor self, int[3] kernel_size, int[3] output_size, Tensor random_samples) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> fractional_max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) {
        return at::_ops::fractional_max_pool3d::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples);
    }
    
    // aten::fractional_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & fractional_max_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) {
        return at::_ops::fractional_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input);
    }
    
    // aten::fractional_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & fractional_max_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices, at::Tensor & grad_input) {
        return at::_ops::fractional_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input);
    }
    
    // aten::fractional_max_pool3d_backward(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] output_size, Tensor indices) -> Tensor
    TORCH_API inline at::Tensor fractional_max_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) {
        return at::_ops::fractional_max_pool3d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices);
    }
    
    // aten::max_pool2d_with_indices.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool2d_with_indices_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool2d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices);
    }
    
    // aten::max_pool2d_with_indices.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool2d_with_indices_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out, at::Tensor & indices) {
        return at::_ops::max_pool2d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices);
    }
    
    // aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> max_pool2d_with_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool2d_with_indices::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::max_pool2d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_pool2d_with_indices_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) {
        return at::_ops::max_pool2d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input);
    }
    
    // aten::max_pool2d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_pool2d_with_indices_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices, at::Tensor & grad_input) {
        return at::_ops::max_pool2d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input);
    }
    
    // aten::max_pool2d_with_indices_backward(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool ceil_mode, Tensor indices) -> Tensor
    TORCH_API inline at::Tensor max_pool2d_with_indices_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) {
        return at::_ops::max_pool2d_with_indices_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices);
    }
    
    // aten::max_pool3d_with_indices.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool3d_with_indices_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool3d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices);
    }
    
    // aten::max_pool3d_with_indices.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool3d_with_indices_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out, at::Tensor & indices) {
        return at::_ops::max_pool3d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices);
    }
    
    // aten::max_pool3d_with_indices(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> max_pool3d_with_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) {
        return at::_ops::max_pool3d_with_indices::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode);
    }
    
    // aten::max_pool3d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_pool3d_with_indices_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) {
        return at::_ops::max_pool3d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input);
    }
    
    // aten::max_pool3d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_pool3d_with_indices_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices, at::Tensor & grad_input) {
        return at::_ops::max_pool3d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input);
    }
    
    // aten::max_pool3d_with_indices_backward(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool ceil_mode, Tensor indices) -> Tensor
    TORCH_API inline at::Tensor max_pool3d_with_indices_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) {
        return at::_ops::max_pool3d_with_indices_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices);
    }
    
    // aten::max_unpool2d.out(Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size) {
        return at::_ops::max_unpool2d_out::redispatch(dispatchKeySet, self, indices, output_size, out);
    }
    
    // aten::max_unpool2d.out(Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::Tensor & out) {
        return at::_ops::max_unpool2d_out::redispatch(dispatchKeySet, self, indices, output_size, out);
    }
    
    // aten::max_unpool2d(Tensor self, Tensor indices, int[2] output_size) -> Tensor
    TORCH_API inline at::Tensor max_unpool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size) {
        return at::_ops::max_unpool2d::redispatch(dispatchKeySet, self, indices, output_size);
    }
    
    // aten::max_unpool2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size) {
        return at::_ops::max_unpool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, output_size, grad_input);
    }
    
    // aten::max_unpool2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::Tensor & grad_input) {
        return at::_ops::max_unpool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, output_size, grad_input);
    }
    
    // aten::max_unpool2d_backward(Tensor grad_output, Tensor self, Tensor indices, int[2] output_size) -> Tensor
    TORCH_API inline at::Tensor max_unpool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size) {
        return at::_ops::max_unpool2d_backward::redispatch(dispatchKeySet, grad_output, self, indices, output_size);
    }
    
    // aten::max_unpool3d.out(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::max_unpool3d_out::redispatch(dispatchKeySet, self, indices, output_size, stride, padding, out);
    }
    
    // aten::max_unpool3d.out(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::max_unpool3d_out::redispatch(dispatchKeySet, self, indices, output_size, stride, padding, out);
    }
    
    // aten::max_unpool3d(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding) -> Tensor
    TORCH_API inline at::Tensor max_unpool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::max_unpool3d::redispatch(dispatchKeySet, self, indices, output_size, stride, padding);
    }
    
    // aten::max_unpool3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::max_unpool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, output_size, stride, padding, grad_input);
    }
    
    // aten::max_unpool3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & max_unpool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & grad_input) {
        return at::_ops::max_unpool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, output_size, stride, padding, grad_input);
    }
    
    // aten::max_unpool3d_backward(Tensor grad_output, Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding) -> Tensor
    TORCH_API inline at::Tensor max_unpool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::max_unpool3d_backward::redispatch(dispatchKeySet, grad_output, self, indices, output_size, stride, padding);
    }
    
    // aten::reflection_pad1d.out(Tensor self, int[2] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad1d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::reflection_pad1d.out(Tensor self, int[2] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::reflection_pad1d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::reflection_pad1d(Tensor self, int[2] padding) -> Tensor
    TORCH_API inline at::Tensor reflection_pad1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad1d::redispatch(dispatchKeySet, self, padding);
    }
    
    // aten::reflection_pad1d_backward.grad_input(Tensor grad_output, Tensor self, int[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::reflection_pad1d_backward.grad_input(Tensor grad_output, Tensor self, int[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) {
        return at::_ops::reflection_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::reflection_pad1d_backward(Tensor grad_output, Tensor self, int[2] padding) -> Tensor
    TORCH_API inline at::Tensor reflection_pad1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad1d_backward::redispatch(dispatchKeySet, grad_output, self, padding);
    }
    
    // aten::reflection_pad2d.out(Tensor self, int[4] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad2d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::reflection_pad2d.out(Tensor self, int[4] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::reflection_pad2d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::reflection_pad2d(Tensor self, int[4] padding) -> Tensor
    TORCH_API inline at::Tensor reflection_pad2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad2d::redispatch(dispatchKeySet, self, padding);
    }
    
    // aten::reflection_pad2d_backward.grad_input(Tensor grad_output, Tensor self, int[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::reflection_pad2d_backward.grad_input(Tensor grad_output, Tensor self, int[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) {
        return at::_ops::reflection_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::reflection_pad2d_backward(Tensor grad_output, Tensor self, int[4] padding) -> Tensor
    TORCH_API inline at::Tensor reflection_pad2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad2d_backward::redispatch(dispatchKeySet, grad_output, self, padding);
    }
    
    // aten::reflection_pad3d.out(Tensor self, int[6] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad3d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::reflection_pad3d.out(Tensor self, int[6] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::reflection_pad3d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::reflection_pad3d(Tensor self, int[6] padding) -> Tensor
    TORCH_API inline at::Tensor reflection_pad3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad3d::redispatch(dispatchKeySet, self, padding);
    }
    
    // aten::reflection_pad3d_backward.grad_input(Tensor grad_output, Tensor self, int[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::reflection_pad3d_backward.grad_input(Tensor grad_output, Tensor self, int[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & reflection_pad3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) {
        return at::_ops::reflection_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::reflection_pad3d_backward(Tensor grad_output, Tensor self, int[6] padding) -> Tensor
    TORCH_API inline at::Tensor reflection_pad3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::reflection_pad3d_backward::redispatch(dispatchKeySet, grad_output, self, padding);
    }
    
    // aten::replication_pad1d.out(Tensor self, int[2] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad1d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::replication_pad1d.out(Tensor self, int[2] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::replication_pad1d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::replication_pad1d(Tensor self, int[2] padding) -> Tensor
    TORCH_API inline at::Tensor replication_pad1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad1d::redispatch(dispatchKeySet, self, padding);
    }
    
    // aten::replication_pad1d_backward.grad_input(Tensor grad_output, Tensor self, int[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::replication_pad1d_backward.grad_input(Tensor grad_output, Tensor self, int[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) {
        return at::_ops::replication_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::replication_pad1d_backward(Tensor grad_output, Tensor self, int[2] padding) -> Tensor
    TORCH_API inline at::Tensor replication_pad1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad1d_backward::redispatch(dispatchKeySet, grad_output, self, padding);
    }
    
    // aten::replication_pad2d.out(Tensor self, int[4] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad2d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::replication_pad2d.out(Tensor self, int[4] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::replication_pad2d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::replication_pad2d(Tensor self, int[4] padding) -> Tensor
    TORCH_API inline at::Tensor replication_pad2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad2d::redispatch(dispatchKeySet, self, padding);
    }
    
    // aten::replication_pad2d_backward.grad_input(Tensor grad_output, Tensor self, int[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::replication_pad2d_backward.grad_input(Tensor grad_output, Tensor self, int[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) {
        return at::_ops::replication_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::replication_pad2d_backward(Tensor grad_output, Tensor self, int[4] padding) -> Tensor
    TORCH_API inline at::Tensor replication_pad2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad2d_backward::redispatch(dispatchKeySet, grad_output, self, padding);
    }
    
    // aten::replication_pad3d.out(Tensor self, int[6] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad3d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::replication_pad3d.out(Tensor self, int[6] padding, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::replication_pad3d_out::redispatch(dispatchKeySet, self, padding, out);
    }
    
    // aten::replication_pad3d(Tensor self, int[6] padding) -> Tensor
    TORCH_API inline at::Tensor replication_pad3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad3d::redispatch(dispatchKeySet, self, padding);
    }
    
    // aten::replication_pad3d_backward.grad_input(Tensor grad_output, Tensor self, int[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::replication_pad3d_backward.grad_input(Tensor grad_output, Tensor self, int[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & replication_pad3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) {
        return at::_ops::replication_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input);
    }
    
    // aten::replication_pad3d_backward(Tensor grad_output, Tensor self, int[6] padding) -> Tensor
    TORCH_API inline at::Tensor replication_pad3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) {
        return at::_ops::replication_pad3d_backward::redispatch(dispatchKeySet, grad_output, self, padding);
    }
    
    // aten::upsample_linear1d.vec(Tensor input, int[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_linear1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::optional<at::IntArrayRef> output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_linear1d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors);
    }
    
    // aten::upsample_linear1d_backward.vec(Tensor grad_output, int[]? output_size, int[] input_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_linear1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::optional<at::IntArrayRef> output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_linear1d_backward_vec::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scale_factors);
    }
    
    // aten::upsample_bilinear2d.vec(Tensor input, int[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_bilinear2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::optional<at::IntArrayRef> output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_bilinear2d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors);
    }
    
    // aten::upsample_bilinear2d_backward.vec(Tensor grad_output, int[]? output_size, int[] input_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_bilinear2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::optional<at::IntArrayRef> output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_bilinear2d_backward_vec::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scale_factors);
    }
    
    // aten::upsample_trilinear3d.vec(Tensor input, int[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_trilinear3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::optional<at::IntArrayRef> output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_trilinear3d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors);
    }
    
    // aten::upsample_trilinear3d_backward.vec(Tensor grad_output, int[]? output_size, int[] input_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_trilinear3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::optional<at::IntArrayRef> output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_trilinear3d_backward_vec::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scale_factors);
    }
    
    // aten::upsample_bicubic2d.vec(Tensor input, int[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_bicubic2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::optional<at::IntArrayRef> output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_bicubic2d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors);
    }
    
    // aten::upsample_bicubic2d_backward.vec(Tensor grad_output, int[]? output_size, int[] input_size, bool align_corners, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_bicubic2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::optional<at::IntArrayRef> output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_bicubic2d_backward_vec::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scale_factors);
    }
    
    // aten::upsample_nearest1d.vec(Tensor input, int[]? output_size, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::optional<at::IntArrayRef> output_size, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_nearest1d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors);
    }
    
    // aten::upsample_nearest1d_backward.vec(Tensor grad_output, int[]? output_size, int[] input_size, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::optional<at::IntArrayRef> output_size, at::IntArrayRef input_size, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_nearest1d_backward_vec::redispatch(dispatchKeySet, grad_output, output_size, input_size, scale_factors);
    }
    
    // aten::upsample_nearest2d.vec(Tensor input, int[]? output_size, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::optional<at::IntArrayRef> output_size, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_nearest2d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors);
    }
    
    // aten::upsample_nearest2d_backward.vec(Tensor grad_output, int[]? output_size, int[] input_size, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::optional<at::IntArrayRef> output_size, at::IntArrayRef input_size, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_nearest2d_backward_vec::redispatch(dispatchKeySet, grad_output, output_size, input_size, scale_factors);
    }
    
    // aten::upsample_nearest3d.vec(Tensor input, int[]? output_size, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::optional<at::IntArrayRef> output_size, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_nearest3d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors);
    }
    
    // aten::upsample_nearest3d_backward.vec(Tensor grad_output, int[]? output_size, int[] input_size, float[]? scale_factors) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::optional<at::IntArrayRef> output_size, at::IntArrayRef input_size, c10::optional<at::ArrayRef<double>> scale_factors) {
        return at::_ops::upsample_nearest3d_backward_vec::redispatch(dispatchKeySet, grad_output, output_size, input_size, scale_factors);
    }
    
    // aten::upsample_linear1d.out(Tensor self, int[1] output_size, bool align_corners, float? scales=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_linear1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_linear1d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales, out);
    }
    
    // aten::upsample_linear1d.out(Tensor self, int[1] output_size, bool align_corners, float? scales=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_linear1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales, at::Tensor & out) {
        return at::_ops::upsample_linear1d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales, out);
    }
    
    // aten::upsample_linear1d(Tensor self, int[1] output_size, bool align_corners, float? scales=None) -> Tensor
    TORCH_API inline at::Tensor upsample_linear1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_linear1d::redispatch(dispatchKeySet, self, output_size, align_corners, scales);
    }
    
    // aten::upsample_linear1d_backward.grad_input(Tensor grad_output, int[1] output_size, int[3] input_size, bool align_corners, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_linear1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_linear1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales, grad_input);
    }
    
    // aten::upsample_linear1d_backward.grad_input(Tensor grad_output, int[1] output_size, int[3] input_size, bool align_corners, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_linear1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales, at::Tensor & grad_input) {
        return at::_ops::upsample_linear1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales, grad_input);
    }
    
    // aten::upsample_linear1d_backward(Tensor grad_output, int[1] output_size, int[3] input_size, bool align_corners, float? scales=None) -> Tensor
    TORCH_API inline at::Tensor upsample_linear1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_linear1d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales);
    }
    
    // aten::upsample_bilinear2d.out(Tensor self, int[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bilinear2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bilinear2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out);
    }
    
    // aten::upsample_bilinear2d.out(Tensor self, int[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bilinear2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) {
        return at::_ops::upsample_bilinear2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out);
    }
    
    // aten::upsample_bilinear2d(Tensor self, int[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_bilinear2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bilinear2d::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w);
    }
    
    // aten::upsample_bilinear2d_backward.grad_input(Tensor grad_output, int[2] output_size, int[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bilinear2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bilinear2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_bilinear2d_backward.grad_input(Tensor grad_output, int[2] output_size, int[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bilinear2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) {
        return at::_ops::upsample_bilinear2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_bilinear2d_backward(Tensor grad_output, int[2] output_size, int[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_bilinear2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bilinear2d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w);
    }
    
    // aten::upsample_bicubic2d.out(Tensor self, int[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bicubic2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bicubic2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out);
    }
    
    // aten::upsample_bicubic2d.out(Tensor self, int[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bicubic2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) {
        return at::_ops::upsample_bicubic2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out);
    }
    
    // aten::upsample_bicubic2d(Tensor self, int[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_bicubic2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bicubic2d::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w);
    }
    
    // aten::upsample_bicubic2d_backward.grad_input(Tensor grad_output, int[2] output_size, int[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bicubic2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bicubic2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_bicubic2d_backward.grad_input(Tensor grad_output, int[2] output_size, int[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_bicubic2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) {
        return at::_ops::upsample_bicubic2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_bicubic2d_backward(Tensor grad_output, int[2] output_size, int[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_bicubic2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_bicubic2d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w);
    }
    
    // aten::upsample_trilinear3d.out(Tensor self, int[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_trilinear3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_trilinear3d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_d, scales_h, scales_w, out);
    }
    
    // aten::upsample_trilinear3d.out(Tensor self, int[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_trilinear3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) {
        return at::_ops::upsample_trilinear3d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_d, scales_h, scales_w, out);
    }
    
    // aten::upsample_trilinear3d(Tensor self, int[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_trilinear3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_trilinear3d::redispatch(dispatchKeySet, self, output_size, align_corners, scales_d, scales_h, scales_w);
    }
    
    // aten::upsample_trilinear3d_backward.grad_input(Tensor grad_output, int[3] output_size, int[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_trilinear3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_trilinear3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_d, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_trilinear3d_backward.grad_input(Tensor grad_output, int[3] output_size, int[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_trilinear3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) {
        return at::_ops::upsample_trilinear3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_d, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_trilinear3d_backward(Tensor grad_output, int[3] output_size, int[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_trilinear3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_trilinear3d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_d, scales_h, scales_w);
    }
    
    // aten::upsample_nearest1d.out(Tensor self, int[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_nearest1d_out::redispatch(dispatchKeySet, self, output_size, scales, out);
    }
    
    // aten::upsample_nearest1d.out(Tensor self, int[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales, at::Tensor & out) {
        return at::_ops::upsample_nearest1d_out::redispatch(dispatchKeySet, self, output_size, scales, out);
    }
    
    // aten::upsample_nearest1d(Tensor self, int[1] output_size, float? scales=None) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_nearest1d::redispatch(dispatchKeySet, self, output_size, scales);
    }
    
    // aten::upsample_nearest1d_backward.grad_input(Tensor grad_output, int[1] output_size, int[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_nearest1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales, grad_input);
    }
    
    // aten::upsample_nearest1d_backward.grad_input(Tensor grad_output, int[1] output_size, int[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales, at::Tensor & grad_input) {
        return at::_ops::upsample_nearest1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales, grad_input);
    }
    
    // aten::upsample_nearest1d_backward(Tensor grad_output, int[1] output_size, int[3] input_size, float? scales=None) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales=c10::nullopt) {
        return at::_ops::upsample_nearest1d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales);
    }
    
    // aten::upsample_nearest2d.out(Tensor self, int[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest2d_out::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w, out);
    }
    
    // aten::upsample_nearest2d.out(Tensor self, int[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) {
        return at::_ops::upsample_nearest2d_out::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w, out);
    }
    
    // aten::upsample_nearest2d(Tensor self, int[2] output_size, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest2d::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w);
    }
    
    // aten::upsample_nearest2d_backward.grad_input(Tensor grad_output, int[2] output_size, int[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_nearest2d_backward.grad_input(Tensor grad_output, int[2] output_size, int[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) {
        return at::_ops::upsample_nearest2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_nearest2d_backward(Tensor grad_output, int[2] output_size, int[4] input_size, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest2d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w);
    }
    
    // aten::upsample_nearest3d.out(Tensor self, int[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest3d_out::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w, out);
    }
    
    // aten::upsample_nearest3d.out(Tensor self, int[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) {
        return at::_ops::upsample_nearest3d_out::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w, out);
    }
    
    // aten::upsample_nearest3d(Tensor self, int[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest3d::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w);
    }
    
    // aten::upsample_nearest3d_backward.grad_input(Tensor grad_output, int[3] output_size, int[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_nearest3d_backward.grad_input(Tensor grad_output, int[3] output_size, int[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & upsample_nearest3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) {
        return at::_ops::upsample_nearest3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w, grad_input);
    }
    
    // aten::upsample_nearest3d_backward(Tensor grad_output, int[3] output_size, int[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor
    TORCH_API inline at::Tensor upsample_nearest3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) {
        return at::_ops::upsample_nearest3d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w);
    }
    
    // aten::sigmoid_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & sigmoid_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output) {
        return at::_ops::sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input);
    }
    
    // aten::sigmoid_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & sigmoid_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input) {
        return at::_ops::sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input);
    }
    
    // aten::sigmoid_backward(Tensor grad_output, Tensor output) -> Tensor
    TORCH_API inline at::Tensor sigmoid_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output) {
        return at::_ops::sigmoid_backward::redispatch(dispatchKeySet, grad_output, output);
    }
    
    // aten::logit_backward.grad_input(Tensor grad_output, Tensor self, float? eps=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & logit_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) {
        return at::_ops::logit_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, eps, grad_input);
    }
    
    // aten::logit_backward.grad_input(Tensor grad_output, Tensor self, float? eps=None, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & logit_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::optional<double> eps, at::Tensor & grad_input) {
        return at::_ops::logit_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, eps, grad_input);
    }
    
    // aten::logit_backward(Tensor grad_output, Tensor self, float? eps=None) -> Tensor
    TORCH_API inline at::Tensor logit_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) {
        return at::_ops::logit_backward::redispatch(dispatchKeySet, grad_output, self, eps);
    }
    
    // aten::tanh_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & tanh_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output) {
        return at::_ops::tanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input);
    }
    
    // aten::tanh_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & tanh_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input) {
        return at::_ops::tanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input);
    }
    
    // aten::tanh_backward(Tensor grad_output, Tensor output) -> Tensor
    TORCH_API inline at::Tensor tanh_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output) {
        return at::_ops::tanh_backward::redispatch(dispatchKeySet, grad_output, output);
    }
    
    // aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & slow_conv_transpose2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) {
        return at::_ops::slow_conv_transpose2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out);
    }
    
    // aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & slow_conv_transpose2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, at::Tensor & out) {
        return at::_ops::slow_conv_transpose2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out);
    }
    
    // aten::slow_conv_transpose2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] output_padding=0, int[2] dilation=1) -> Tensor
    TORCH_API inline at::Tensor slow_conv_transpose2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) {
        return at::_ops::slow_conv_transpose2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation);
    }
    
    // aten::slow_conv_transpose2d_backward.grad_output(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] output_padding, int[2] dilation, Tensor columns, Tensor ones, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv_transpose2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, const at::Tensor & columns, const at::Tensor & ones) {
        return at::_ops::slow_conv_transpose2d_backward_grad_output::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_padding, dilation, columns, ones, grad_input, grad_weight, grad_bias);
    }
    
    // aten::slow_conv_transpose2d_backward.grad_output(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] output_padding, int[2] dilation, Tensor columns, Tensor ones, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv_transpose2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, const at::Tensor & columns, const at::Tensor & ones, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias) {
        return at::_ops::slow_conv_transpose2d_backward_grad_output::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_padding, dilation, columns, ones, grad_input, grad_weight, grad_bias);
    }
    
    // aten::slow_conv_transpose2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] output_padding, int[2] dilation, Tensor columns, Tensor ones, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> slow_conv_transpose2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, const at::Tensor & columns, const at::Tensor & ones, ::std::array<bool,3> output_mask) {
        return at::_ops::slow_conv_transpose2d_backward_output_mask::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_padding, dilation, columns, ones, output_mask);
    }
    
    // aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & slow_conv_transpose3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) {
        return at::_ops::slow_conv_transpose3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out);
    }
    
    // aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & slow_conv_transpose3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, at::Tensor & out) {
        return at::_ops::slow_conv_transpose3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out);
    }
    
    // aten::slow_conv_transpose3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] output_padding=0, int[3] dilation=1) -> Tensor
    TORCH_API inline at::Tensor slow_conv_transpose3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) {
        return at::_ops::slow_conv_transpose3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation);
    }
    
    // aten::slow_conv_transpose3d_backward.grad_output(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] output_padding, int[3] dilation, Tensor finput, Tensor fgrad_input, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv_transpose3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, const at::Tensor & finput, const at::Tensor & fgrad_input) {
        return at::_ops::slow_conv_transpose3d_backward_grad_output::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_padding, dilation, finput, fgrad_input, grad_input, grad_weight, grad_bias);
    }
    
    // aten::slow_conv_transpose3d_backward.grad_output(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] output_padding, int[3] dilation, Tensor finput, Tensor fgrad_input, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv_transpose3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, const at::Tensor & finput, const at::Tensor & fgrad_input, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias) {
        return at::_ops::slow_conv_transpose3d_backward_grad_output::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_padding, dilation, finput, fgrad_input, grad_input, grad_weight, grad_bias);
    }
    
    // aten::slow_conv_transpose3d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] output_padding, int[3] dilation, Tensor finput, Tensor fgrad_input, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> slow_conv_transpose3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, const at::Tensor & finput, const at::Tensor & fgrad_input, ::std::array<bool,3> output_mask) {
        return at::_ops::slow_conv_transpose3d_backward_output_mask::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_padding, dilation, finput, fgrad_input, output_mask);
    }
    
    // aten::thnn_conv2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & thnn_conv2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) {
        return at::_ops::thnn_conv2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out);
    }
    
    // aten::thnn_conv2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & thnn_conv2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::thnn_conv2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out);
    }
    
    // aten::thnn_conv2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0) -> Tensor
    TORCH_API inline at::Tensor thnn_conv2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) {
        return at::_ops::thnn_conv2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding);
    }
    
    // aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, *, Tensor(a!) output, Tensor(b!) finput) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> _slow_conv2d_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & finput, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::_slow_conv2d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output, finput);
    }
    
    // aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, *, Tensor(a!) output, Tensor(b!) finput) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> _slow_conv2d_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & output, at::Tensor & finput) {
        return at::_ops::_slow_conv2d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output, finput);
    }
    
    // aten::_slow_conv2d_forward(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding) -> (Tensor output, Tensor finput)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _slow_conv2d_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::_slow_conv2d_forward::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding);
    }
    
    // aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, Tensor finput, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _slow_conv2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, const at::Tensor & finput) {
        return at::_ops::_slow_conv2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, finput, grad_input, grad_weight, grad_bias);
    }
    
    // aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, Tensor finput, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _slow_conv2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, const at::Tensor & finput, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias) {
        return at::_ops::_slow_conv2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, finput, grad_input, grad_weight, grad_bias);
    }
    
    // aten::_slow_conv2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, Tensor finput, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _slow_conv2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, const at::Tensor & finput, ::std::array<bool,3> output_mask) {
        return at::_ops::_slow_conv2d_backward_output_mask::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, finput, output_mask);
    }
    
    // aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline const at::Tensor & _conv_depthwise2d_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) {
        return at::_ops::_conv_depthwise2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out);
    }
    
    // aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline const at::Tensor & _conv_depthwise2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, const at::Tensor & out) {
        return at::_ops::_conv_depthwise2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out);
    }
    
    // aten::_conv_depthwise2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, int[2] dilation) -> Tensor
    TORCH_API inline at::Tensor _conv_depthwise2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) {
        return at::_ops::_conv_depthwise2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation);
    }
    
    // aten::_conv_depthwise2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, *, Tensor(a!) grad_input, Tensor(b!) grad_weight) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> _conv_depthwise2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, at::Tensor & grad_weight, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) {
        return at::_ops::_conv_depthwise2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, grad_input, grad_weight);
    }
    
    // aten::_conv_depthwise2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, *, Tensor(a!) grad_input, Tensor(b!) grad_weight) -> (Tensor(a!), Tensor(b!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> _conv_depthwise2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, at::Tensor & grad_input, at::Tensor & grad_weight) {
        return at::_ops::_conv_depthwise2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, grad_input, grad_weight);
    }
    
    // aten::_conv_depthwise2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool[2] output_mask) -> (Tensor grad_input, Tensor grad_weight)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _conv_depthwise2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, ::std::array<bool,2> output_mask) {
        return at::_ops::_conv_depthwise2d_backward_output_mask::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, output_mask);
    }
    
    // aten::conv_depthwise3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, int[3] padding, int[3] dilation) -> Tensor
    TORCH_API inline at::Tensor conv_depthwise3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) {
        return at::_ops::conv_depthwise3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation);
    }
    
    // aten::conv_depthwise3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> conv_depthwise3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) {
        return at::_ops::conv_depthwise3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, grad_input, grad_weight, grad_bias);
    }
    
    // aten::conv_depthwise3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> conv_depthwise3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias) {
        return at::_ops::conv_depthwise3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, grad_input, grad_weight, grad_bias);
    }
    
    // aten::conv_depthwise3d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> conv_depthwise3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, ::std::array<bool,3> output_mask) {
        return at::_ops::conv_depthwise3d_backward_output_mask::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, output_mask);
    }
    
    // aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, int[3] padding=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & slow_conv3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) {
        return at::_ops::slow_conv3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out);
    }
    
    // aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, int[3] padding=0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & slow_conv3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & out) {
        return at::_ops::slow_conv3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out);
    }
    
    // aten::slow_conv3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, int[3] padding=0) -> Tensor
    TORCH_API inline at::Tensor slow_conv3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) {
        return at::_ops::slow_conv3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding);
    }
    
    // aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, int[3] padding, *, Tensor(a!) output, Tensor(b!) finput, Tensor(c!) fgrad_input) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv3d_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & finput, at::Tensor & fgrad_input, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::slow_conv3d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output, finput, fgrad_input);
    }
    
    // aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, int[3] padding, *, Tensor(a!) output, Tensor(b!) finput, Tensor(c!) fgrad_input) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv3d_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & output, at::Tensor & finput, at::Tensor & fgrad_input) {
        return at::_ops::slow_conv3d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output, finput, fgrad_input);
    }
    
    // aten::slow_conv3d_forward(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, int[3] padding) -> (Tensor output, Tensor finput, Tensor fgrad_input)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> slow_conv3d_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) {
        return at::_ops::slow_conv3d_forward::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding);
    }
    
    // aten::slow_conv3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, Tensor finput, Tensor fgrad_input, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, const at::Tensor & finput, const at::Tensor & fgrad_input) {
        return at::_ops::slow_conv3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, finput, fgrad_input, grad_input, grad_weight, grad_bias);
    }
    
    // aten::slow_conv3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, Tensor finput, Tensor fgrad_input, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> slow_conv3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, const at::Tensor & finput, const at::Tensor & fgrad_input, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias) {
        return at::_ops::slow_conv3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, finput, fgrad_input, grad_input, grad_weight, grad_bias);
    }
    
    // aten::slow_conv3d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, Tensor finput, Tensor fgrad_input, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> slow_conv3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, const at::Tensor & finput, const at::Tensor & fgrad_input, ::std::array<bool,3> output_mask) {
        return at::_ops::slow_conv3d_backward_output_mask::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, finput, fgrad_input, output_mask);
    }
    
    // aten::slow_conv_dilated2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1) -> Tensor
    TORCH_API inline at::Tensor slow_conv_dilated2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1) {
        return at::_ops::slow_conv_dilated2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation);
    }
    
    // aten::slow_conv_dilated2d_backward(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> slow_conv_dilated2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, ::std::array<bool,3> output_mask) {
        return at::_ops::slow_conv_dilated2d_backward::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, output_mask);
    }
    
    // aten::slow_conv_dilated3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] dilation=1) -> Tensor
    TORCH_API inline at::Tensor slow_conv_dilated3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1) {
        return at::_ops::slow_conv_dilated3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation);
    }
    
    // aten::slow_conv_dilated3d_backward(Tensor grad_output, Tensor self, Tensor weight, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> slow_conv_dilated3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, ::std::array<bool,3> output_mask) {
        return at::_ops::slow_conv_dilated3d_backward::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, dilation, output_mask);
    }
    
    // aten::col2im.out(Tensor self, int[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & col2im_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::col2im_out::redispatch(dispatchKeySet, self, output_size, kernel_size, dilation, padding, stride, out);
    }
    
    // aten::col2im.out(Tensor self, int[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & col2im_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) {
        return at::_ops::col2im_out::redispatch(dispatchKeySet, self, output_size, kernel_size, dilation, padding, stride, out);
    }
    
    // aten::col2im(Tensor self, int[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride) -> Tensor
    TORCH_API inline at::Tensor col2im(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::col2im::redispatch(dispatchKeySet, self, output_size, kernel_size, dilation, padding, stride);
    }
    
    // aten::col2im_backward.grad_input(Tensor grad_output, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & col2im_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::col2im_backward_grad_input::redispatch(dispatchKeySet, grad_output, kernel_size, dilation, padding, stride, grad_input);
    }
    
    // aten::col2im_backward.grad_input(Tensor grad_output, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & col2im_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & grad_input) {
        return at::_ops::col2im_backward_grad_input::redispatch(dispatchKeySet, grad_output, kernel_size, dilation, padding, stride, grad_input);
    }
    
    // aten::col2im_backward(Tensor grad_output, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride) -> Tensor
    TORCH_API inline at::Tensor col2im_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::col2im_backward::redispatch(dispatchKeySet, grad_output, kernel_size, dilation, padding, stride);
    }
    
    // aten::column_stack(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor column_stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::column_stack::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::column_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & column_stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) {
        return at::_ops::column_stack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::column_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & column_stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) {
        return at::_ops::column_stack_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::im2col.out(Tensor self, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & im2col_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::im2col_out::redispatch(dispatchKeySet, self, kernel_size, dilation, padding, stride, out);
    }
    
    // aten::im2col.out(Tensor self, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & im2col_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) {
        return at::_ops::im2col_out::redispatch(dispatchKeySet, self, kernel_size, dilation, padding, stride, out);
    }
    
    // aten::im2col(Tensor self, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride) -> Tensor
    TORCH_API inline at::Tensor im2col(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::im2col::redispatch(dispatchKeySet, self, kernel_size, dilation, padding, stride);
    }
    
    // aten::im2col_backward.grad_input(Tensor grad_output, int[2] input_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & im2col_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef input_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::im2col_backward_grad_input::redispatch(dispatchKeySet, grad_output, input_size, kernel_size, dilation, padding, stride, grad_input);
    }
    
    // aten::im2col_backward.grad_input(Tensor grad_output, int[2] input_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) grad_input) -> Tensor(a!)
    TORCH_API inline at::Tensor & im2col_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & grad_input) {
        return at::_ops::im2col_backward_grad_input::redispatch(dispatchKeySet, grad_output, input_size, kernel_size, dilation, padding, stride, grad_input);
    }
    
    // aten::im2col_backward(Tensor grad_output, int[2] input_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride) -> Tensor
    TORCH_API inline at::Tensor im2col_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) {
        return at::_ops::im2col_backward::redispatch(dispatchKeySet, grad_output, input_size, kernel_size, dilation, padding, stride);
    }
    
    // aten::isfinite(Tensor self) -> Tensor
    TORCH_API inline at::Tensor isfinite(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::isfinite::redispatch(dispatchKeySet, self);
    }
    
    // aten::isinf(Tensor self) -> Tensor
    TORCH_API inline at::Tensor isinf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::isinf::redispatch(dispatchKeySet, self);
    }
    
    // aten::record_stream(Tensor(a!) self, Stream s) -> ()
    TORCH_API inline void record_stream(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Stream s) {
        return at::_ops::record_stream::redispatch(dispatchKeySet, self, s);
    }
    
    // aten::isposinf(Tensor self) -> Tensor
    TORCH_API inline at::Tensor isposinf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::isposinf::redispatch(dispatchKeySet, self);
    }
    
    // aten::isposinf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isposinf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::isposinf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::isposinf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isposinf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::isposinf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::isneginf(Tensor self) -> Tensor
    TORCH_API inline at::Tensor isneginf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::isneginf::redispatch(dispatchKeySet, self);
    }
    
    // aten::isneginf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isneginf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::isneginf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::isneginf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & isneginf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::isneginf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::_add_batch_dim(Tensor self, int batch_dim, int level) -> Tensor
    TORCH_API inline at::Tensor _add_batch_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t batch_dim, int64_t level) {
        return at::_ops::_add_batch_dim::redispatch(dispatchKeySet, self, batch_dim, level);
    }
    
    // aten::_remove_batch_dim(Tensor self, int level, int batch_size, int out_dim) -> Tensor
    TORCH_API inline at::Tensor _remove_batch_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t level, int64_t batch_size, int64_t out_dim) {
        return at::_ops::_remove_batch_dim::redispatch(dispatchKeySet, self, level, batch_size, out_dim);
    }
    
    // aten::special_entr(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_entr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_entr::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_entr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_entr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_entr_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_entr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_entr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_entr_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_ndtri(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_ndtri(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_ndtri::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_ndtri.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_ndtri_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_ndtri_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_ndtri.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_ndtri_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_ndtri_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_expm1(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_expm1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_expm1::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_expm1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_expm1_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_expm1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_expm1_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_exp2(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_exp2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_exp2::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_exp2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_exp2_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_exp2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_exp2_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_psi(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_psi(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_psi::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_psi.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_psi_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_psi_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_psi.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_psi_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_psi_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_digamma(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_digamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_digamma::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_digamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_digamma_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_digamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_digamma_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_gammaln(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_gammaln(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_gammaln::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_gammaln.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_gammaln_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_gammaln_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_gammaln.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_gammaln_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_gammaln_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erf(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_erf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_erf::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_erf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_erf_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erfc(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_erfc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_erfc::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erfc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_erfc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erfc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_erfc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erfcx(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_erfcx(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_erfcx::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_erfcx.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erfcx_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_erfcx_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erfcx.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erfcx_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_erfcx_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erfinv(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_erfinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_erfinv::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erfinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_erfinv_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_erfinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_erfinv_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_ndtr(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_ndtr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_ndtr::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_ndtr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_ndtr_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_ndtr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_ndtr_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_xlog1py(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_xlog1py(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_xlog1py::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_xlog1py.self_scalar(Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_xlog1py(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::special_xlog1py_self_scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_xlog1py.other_scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor special_xlog1py(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::special_xlog1py_other_scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_xlog1py.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlog1py_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_xlog1py_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlog1py.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlog1py_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_xlog1py_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlog1py.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlog1py_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::special_xlog1py_self_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlog1py.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlog1py_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_xlog1py_self_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlog1py.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlog1py_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::special_xlog1py_other_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlog1py.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlog1py_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::special_xlog1py_other_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlogy(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_xlogy::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_xlogy.self_scalar(Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_xlogy(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::special_xlogy_self_scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_xlogy.other_scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor special_xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::special_xlogy_other_scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_xlogy.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_xlogy_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlogy.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_xlogy_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlogy.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::special_xlogy_self_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlogy.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_xlogy_self_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlogy.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::special_xlogy_other_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_xlogy.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::special_xlogy_other_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_zeta(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_zeta(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_zeta::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_zeta.self_scalar(Scalar self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_zeta(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::special_zeta_self_scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_zeta.other_scalar(Tensor self, Scalar other) -> Tensor
    TORCH_API inline at::Tensor special_zeta(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::special_zeta_other_scalar::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_zeta.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_zeta_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_zeta_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_zeta.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_zeta_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_zeta_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_zeta.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_zeta_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) {
        return at::_ops::special_zeta_self_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_zeta.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_zeta_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_zeta_self_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_zeta.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_zeta_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) {
        return at::_ops::special_zeta_other_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_zeta.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_zeta_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) {
        return at::_ops::special_zeta_other_scalar_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_i0(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_i0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_i0::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_i0_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_i0_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_i0e(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_i0e(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_i0e::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_i0e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i0e_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_i0e_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_i0e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i0e_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_i0e_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_i1(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_i1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_i1::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_i1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_i1_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_i1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_i1_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_i1e(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_i1e(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_i1e::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_i1e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i1e_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_i1e_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_i1e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_i1e_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_i1e_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_logit(Tensor self, float? eps=None) -> Tensor
    TORCH_API inline at::Tensor special_logit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) {
        return at::_ops::special_logit::redispatch(dispatchKeySet, self, eps);
    }
    
    // aten::special_logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_logit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) {
        return at::_ops::special_logit_out::redispatch(dispatchKeySet, self, eps, out);
    }
    
    // aten::special_logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_logit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps, at::Tensor & out) {
        return at::_ops::special_logit_out::redispatch(dispatchKeySet, self, eps, out);
    }
    
    // aten::special_polygamma(int n, Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_polygamma(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self) {
        return at::_ops::special_polygamma::redispatch(dispatchKeySet, n, self);
    }
    
    // aten::special_polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_polygamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, const at::Tensor & self) {
        return at::_ops::special_polygamma_out::redispatch(dispatchKeySet, n, self, out);
    }
    
    // aten::special_polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_polygamma_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_polygamma_out::redispatch(dispatchKeySet, n, self, out);
    }
    
    // aten::special_logsumexp(Tensor self, int[1] dim, bool keepdim=False) -> Tensor
    TORCH_API inline at::Tensor special_logsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::special_logsumexp::redispatch(dispatchKeySet, self, dim, keepdim);
    }
    
    // aten::special_logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_logsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) {
        return at::_ops::special_logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::special_logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_logsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) {
        return at::_ops::special_logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out);
    }
    
    // aten::special_expit(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_expit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_expit::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_expit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_expit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_expit_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_expit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_expit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_expit_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_sinc(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_sinc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_sinc::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_sinc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_sinc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_sinc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_sinc_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_round(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_round(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_round::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_round.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_round_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_round_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_round.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_round_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_round_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_log1p(Tensor self) -> Tensor
    TORCH_API inline at::Tensor special_log1p(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::special_log1p::redispatch(dispatchKeySet, self);
    }
    
    // aten::special_log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_log1p_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::special_log1p_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_log1p_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::special_log1p_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::special_log_softmax(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor special_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::special_log_softmax::redispatch(dispatchKeySet, self, dim, dtype);
    }
    
    // aten::special_gammainc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_gammainc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_gammainc_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_gammainc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_gammainc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_gammainc_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_gammainc(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_gammainc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_gammainc::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_gammaincc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_gammaincc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_gammaincc_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_gammaincc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_gammaincc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::special_gammaincc_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::special_gammaincc(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor special_gammaincc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::special_gammaincc::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::special_multigammaln(Tensor self, int p) -> Tensor
    TORCH_API inline at::Tensor special_multigammaln(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p) {
        return at::_ops::special_multigammaln::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::special_multigammaln.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_multigammaln_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t p) {
        return at::_ops::special_multigammaln_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::special_multigammaln.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & special_multigammaln_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p, at::Tensor & out) {
        return at::_ops::special_multigammaln_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::fft_fft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_fft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_fft::redispatch(dispatchKeySet, self, n, dim, norm);
    }
    
    // aten::fft_fft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_fft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_fft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_fft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_ifft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_ifft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ifft::redispatch(dispatchKeySet, self, n, dim, norm);
    }
    
    // aten::fft_ifft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ifft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ifft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_ifft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ifft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_ifft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_rfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_rfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_rfft::redispatch(dispatchKeySet, self, n, dim, norm);
    }
    
    // aten::fft_rfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_rfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_rfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_rfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_irfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_irfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_irfft::redispatch(dispatchKeySet, self, n, dim, norm);
    }
    
    // aten::fft_irfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_irfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_irfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_irfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_irfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_irfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_hfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_hfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_hfft::redispatch(dispatchKeySet, self, n, dim, norm);
    }
    
    // aten::fft_hfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_hfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_hfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_hfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_hfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_hfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_ihfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_ihfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ihfft::redispatch(dispatchKeySet, self, n, dim, norm);
    }
    
    // aten::fft_ihfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ihfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ihfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_ihfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ihfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_ihfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out);
    }
    
    // aten::fft_fft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_fft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_fft2::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_fft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_fft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_fft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_fft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_ifft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_ifft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ifft2::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_ifft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ifft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ifft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_ifft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ifft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_ifft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_rfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_rfft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_rfft2::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_rfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_rfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_rfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_rfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_irfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_irfft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_irfft2::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_irfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_irfft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_irfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_irfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_irfft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_irfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_fftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_fftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_fftn::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_fftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_fftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_fftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, c10::optional<at::IntArrayRef> dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_fftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_ifftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_ifftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ifftn::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_ifftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ifftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_ifftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_ifftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_ifftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, c10::optional<at::IntArrayRef> dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_ifftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_rfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_rfftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_rfftn::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_rfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_rfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_rfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, c10::optional<at::IntArrayRef> dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_rfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_irfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
    TORCH_API inline at::Tensor fft_irfftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_irfftn::redispatch(dispatchKeySet, self, s, dim, norm);
    }
    
    // aten::fft_irfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_irfftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::IntArrayRef> s=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) {
        return at::_ops::fft_irfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_irfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_irfftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> s, c10::optional<at::IntArrayRef> dim, c10::optional<c10::string_view> norm, at::Tensor & out) {
        return at::_ops::fft_irfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out);
    }
    
    // aten::fft_fftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor fft_fftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d=1.0, at::TensorOptions options={}) {
        return at::_ops::fft_fftfreq::redispatch(dispatchKeySet, n, d, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::fft_fftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor fft_fftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::fft_fftfreq::redispatch(dispatchKeySet, n, d, dtype, layout, device, pin_memory);
    }
    
    // aten::fft_fftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fftfreq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, double d=1.0) {
        return at::_ops::fft_fftfreq_out::redispatch(dispatchKeySet, n, d, out);
    }
    
    // aten::fft_fftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_fftfreq_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, at::Tensor & out) {
        return at::_ops::fft_fftfreq_out::redispatch(dispatchKeySet, n, d, out);
    }
    
    // aten::fft_rfftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor fft_rfftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d=1.0, at::TensorOptions options={}) {
        return at::_ops::fft_rfftfreq::redispatch(dispatchKeySet, n, d, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
    }
    
    // aten::fft_rfftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
    TORCH_API inline at::Tensor fft_rfftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
        return at::_ops::fft_rfftfreq::redispatch(dispatchKeySet, n, d, dtype, layout, device, pin_memory);
    }
    
    // aten::fft_rfftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfftfreq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, double d=1.0) {
        return at::_ops::fft_rfftfreq_out::redispatch(dispatchKeySet, n, d, out);
    }
    
    // aten::fft_rfftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & fft_rfftfreq_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, at::Tensor & out) {
        return at::_ops::fft_rfftfreq_out::redispatch(dispatchKeySet, n, d, out);
    }
    
    // aten::fft_fftshift(Tensor self, int[1]? dim=None) -> Tensor
    TORCH_API inline at::Tensor fft_fftshift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim=c10::nullopt) {
        return at::_ops::fft_fftshift::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::fft_ifftshift(Tensor self, int[1]? dim=None) -> Tensor
    TORCH_API inline at::Tensor fft_ifftshift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::IntArrayRef> dim=c10::nullopt) {
        return at::_ops::fft_ifftshift::redispatch(dispatchKeySet, self, dim);
    }
    
    // aten::linalg_cholesky_ex(Tensor self, *, bool upper=False, bool check_errors=False) -> (Tensor L, Tensor info)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> linalg_cholesky_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false, bool check_errors=false) {
        return at::_ops::linalg_cholesky_ex::redispatch(dispatchKeySet, self, upper, check_errors);
    }
    
    // aten::linalg_cholesky_ex.L(Tensor self, *, bool upper=False, bool check_errors=False, Tensor(a!) L, Tensor(b!) info) -> (Tensor(a!) L, Tensor(b!) info)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_cholesky_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & L, at::Tensor & info, const at::Tensor & self, bool upper=false, bool check_errors=false) {
        return at::_ops::linalg_cholesky_ex_L::redispatch(dispatchKeySet, self, upper, check_errors, L, info);
    }
    
    // aten::linalg_cholesky_ex.L(Tensor self, *, bool upper=False, bool check_errors=False, Tensor(a!) L, Tensor(b!) info) -> (Tensor(a!) L, Tensor(b!) info)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_cholesky_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, bool check_errors, at::Tensor & L, at::Tensor & info) {
        return at::_ops::linalg_cholesky_ex_L::redispatch(dispatchKeySet, self, upper, check_errors, L, info);
    }
    
    // aten::linalg_cholesky(Tensor self, *, bool upper=False) -> Tensor
    TORCH_API inline at::Tensor linalg_cholesky(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false) {
        return at::_ops::linalg_cholesky::redispatch(dispatchKeySet, self, upper);
    }
    
    // aten::linalg_cholesky.out(Tensor self, *, bool upper=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_cholesky_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool upper=false) {
        return at::_ops::linalg_cholesky_out::redispatch(dispatchKeySet, self, upper, out);
    }
    
    // aten::linalg_cholesky.out(Tensor self, *, bool upper=False, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_cholesky_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, at::Tensor & out) {
        return at::_ops::linalg_cholesky_out::redispatch(dispatchKeySet, self, upper, out);
    }
    
    // aten::linalg_det(Tensor self) -> Tensor
    TORCH_API inline at::Tensor linalg_det(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::linalg_det::redispatch(dispatchKeySet, self);
    }
    
    // aten::linalg_det.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_det_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::linalg_det_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::linalg_det.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_det_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::linalg_det_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::det(Tensor self) -> Tensor
    TORCH_API inline at::Tensor det(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::det::redispatch(dispatchKeySet, self);
    }
    
    // aten::_det_lu_based_helper(Tensor self) -> (Tensor det, Tensor lu, Tensor pivs)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _det_lu_based_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::_det_lu_based_helper::redispatch(dispatchKeySet, self);
    }
    
    // aten::_det_lu_based_helper_backward_helper(Tensor det_grad, Tensor det, Tensor self, Tensor lu, Tensor pivs) -> Tensor
    TORCH_API inline at::Tensor _det_lu_based_helper_backward_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & det_grad, const at::Tensor & det, const at::Tensor & self, const at::Tensor & lu, const at::Tensor & pivs) {
        return at::_ops::_det_lu_based_helper_backward_helper::redispatch(dispatchKeySet, det_grad, det, self, lu, pivs);
    }
    
    // aten::linalg_lstsq(Tensor self, Tensor b, float? rcond=None, *, str? driver=None) -> (Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> linalg_lstsq(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & b, c10::optional<double> rcond=c10::nullopt, c10::optional<c10::string_view> driver=c10::nullopt) {
        return at::_ops::linalg_lstsq::redispatch(dispatchKeySet, self, b, rcond, driver);
    }
    
    // aten::linalg_lstsq.out(Tensor self, Tensor b, float? rcond=None, *, str? driver=None, Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values) -> (Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> linalg_lstsq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & solution, at::Tensor & residuals, at::Tensor & rank, at::Tensor & singular_values, const at::Tensor & self, const at::Tensor & b, c10::optional<double> rcond=c10::nullopt, c10::optional<c10::string_view> driver=c10::nullopt) {
        return at::_ops::linalg_lstsq_out::redispatch(dispatchKeySet, self, b, rcond, driver, solution, residuals, rank, singular_values);
    }
    
    // aten::linalg_lstsq.out(Tensor self, Tensor b, float? rcond=None, *, str? driver=None, Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values) -> (Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> linalg_lstsq_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & b, c10::optional<double> rcond, c10::optional<c10::string_view> driver, at::Tensor & solution, at::Tensor & residuals, at::Tensor & rank, at::Tensor & singular_values) {
        return at::_ops::linalg_lstsq_out::redispatch(dispatchKeySet, self, b, rcond, driver, solution, residuals, rank, singular_values);
    }
    
    // aten::linalg_matmul(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor linalg_matmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::linalg_matmul::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::linalg_matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::linalg_matmul_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::linalg_matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matmul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::linalg_matmul_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::linalg_slogdet(Tensor self) -> (Tensor sign, Tensor logabsdet)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> linalg_slogdet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::linalg_slogdet::redispatch(dispatchKeySet, self);
    }
    
    // aten::linalg_slogdet.out(Tensor self, *, Tensor(a!) sign, Tensor(b!) logabsdet) -> (Tensor(a!) sign, Tensor(b!) logabsdet)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_slogdet_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & sign, at::Tensor & logabsdet, const at::Tensor & self) {
        return at::_ops::linalg_slogdet_out::redispatch(dispatchKeySet, self, sign, logabsdet);
    }
    
    // aten::linalg_slogdet.out(Tensor self, *, Tensor(a!) sign, Tensor(b!) logabsdet) -> (Tensor(a!) sign, Tensor(b!) logabsdet)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_slogdet_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & sign, at::Tensor & logabsdet) {
        return at::_ops::linalg_slogdet_out::redispatch(dispatchKeySet, self, sign, logabsdet);
    }
    
    // aten::linalg_eig(Tensor self) -> (Tensor eigenvalues, Tensor eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> linalg_eig(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::linalg_eig::redispatch(dispatchKeySet, self);
    }
    
    // aten::linalg_eig.out(Tensor self, *, Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eig_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & eigenvalues, at::Tensor & eigenvectors, const at::Tensor & self) {
        return at::_ops::linalg_eig_out::redispatch(dispatchKeySet, self, eigenvalues, eigenvectors);
    }
    
    // aten::linalg_eig.out(Tensor self, *, Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eig_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & eigenvalues, at::Tensor & eigenvectors) {
        return at::_ops::linalg_eig_out::redispatch(dispatchKeySet, self, eigenvalues, eigenvectors);
    }
    
    // aten::linalg_eigvals(Tensor self) -> Tensor
    TORCH_API inline at::Tensor linalg_eigvals(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::linalg_eigvals::redispatch(dispatchKeySet, self);
    }
    
    // aten::linalg_eigvals.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_eigvals_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::linalg_eigvals_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::linalg_eigvals.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_eigvals_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::linalg_eigvals_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::linalg_eigh(Tensor self, str UPLO="L") -> (Tensor eigenvalues, Tensor eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> linalg_eigh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO="L") {
        return at::_ops::linalg_eigh::redispatch(dispatchKeySet, self, UPLO);
    }
    
    // aten::linalg_eigh.eigvals(Tensor self, str UPLO="L", *, Tensor(a!) eigvals, Tensor(b!) eigvecs) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eigh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & eigvals, at::Tensor & eigvecs, const at::Tensor & self, c10::string_view UPLO="L") {
        return at::_ops::linalg_eigh_eigvals::redispatch(dispatchKeySet, self, UPLO, eigvals, eigvecs);
    }
    
    // aten::linalg_eigh.eigvals(Tensor self, str UPLO="L", *, Tensor(a!) eigvals, Tensor(b!) eigvecs) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eigh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO, at::Tensor & eigvals, at::Tensor & eigvecs) {
        return at::_ops::linalg_eigh_eigvals::redispatch(dispatchKeySet, self, UPLO, eigvals, eigvecs);
    }
    
    // aten::linalg_eigvalsh(Tensor self, str UPLO="L") -> Tensor
    TORCH_API inline at::Tensor linalg_eigvalsh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO="L") {
        return at::_ops::linalg_eigvalsh::redispatch(dispatchKeySet, self, UPLO);
    }
    
    // aten::linalg_eigvalsh.out(Tensor self, str UPLO='L', *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_eigvalsh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view UPLO="L") {
        return at::_ops::linalg_eigvalsh_out::redispatch(dispatchKeySet, self, UPLO, out);
    }
    
    // aten::linalg_eigvalsh.out(Tensor self, str UPLO='L', *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_eigvalsh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO, at::Tensor & out) {
        return at::_ops::linalg_eigvalsh_out::redispatch(dispatchKeySet, self, UPLO, out);
    }
    
    // aten::linalg_householder_product(Tensor input, Tensor tau) -> Tensor
    TORCH_API inline at::Tensor linalg_householder_product(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tau) {
        return at::_ops::linalg_householder_product::redispatch(dispatchKeySet, input, tau);
    }
    
    // aten::linalg_householder_product.out(Tensor input, Tensor tau, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_householder_product_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & tau) {
        return at::_ops::linalg_householder_product_out::redispatch(dispatchKeySet, input, tau, out);
    }
    
    // aten::linalg_householder_product.out(Tensor input, Tensor tau, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_householder_product_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tau, at::Tensor & out) {
        return at::_ops::linalg_householder_product_out::redispatch(dispatchKeySet, input, tau, out);
    }
    
    // aten::_linalg_inv_out_helper_(Tensor(a!) self, Tensor(b!) infos_lu, Tensor(c!) infos_getri) -> Tensor(a!)
    TORCH_API inline at::Tensor & _linalg_inv_out_helper_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Tensor & infos_lu, at::Tensor & infos_getri) {
        return at::_ops::_linalg_inv_out_helper_::redispatch(dispatchKeySet, self, infos_lu, infos_getri);
    }
    
    // aten::linalg_inv_ex(Tensor self, *, bool check_errors=False) -> (Tensor inverse, Tensor info)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> linalg_inv_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool check_errors=false) {
        return at::_ops::linalg_inv_ex::redispatch(dispatchKeySet, self, check_errors);
    }
    
    // aten::linalg_inv_ex.inverse(Tensor self, *, bool check_errors=False, Tensor(a!) inverse, Tensor(b!) info) -> (Tensor(a!) inverse, Tensor(b!) info)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_inv_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & inverse, at::Tensor & info, const at::Tensor & self, bool check_errors=false) {
        return at::_ops::linalg_inv_ex_inverse::redispatch(dispatchKeySet, self, check_errors, inverse, info);
    }
    
    // aten::linalg_inv_ex.inverse(Tensor self, *, bool check_errors=False, Tensor(a!) inverse, Tensor(b!) info) -> (Tensor(a!) inverse, Tensor(b!) info)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_inv_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool check_errors, at::Tensor & inverse, at::Tensor & info) {
        return at::_ops::linalg_inv_ex_inverse::redispatch(dispatchKeySet, self, check_errors, inverse, info);
    }
    
    // aten::linalg_inv(Tensor self) -> Tensor
    TORCH_API inline at::Tensor linalg_inv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) {
        return at::_ops::linalg_inv::redispatch(dispatchKeySet, self);
    }
    
    // aten::linalg_inv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_inv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) {
        return at::_ops::linalg_inv_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::linalg_inv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_inv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) {
        return at::_ops::linalg_inv_out::redispatch(dispatchKeySet, self, out);
    }
    
    // aten::inner(Tensor self, Tensor other) -> Tensor
    TORCH_API inline at::Tensor inner(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::inner::redispatch(dispatchKeySet, self, other);
    }
    
    // aten::inner.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & inner_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
        return at::_ops::inner_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::inner.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & inner_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::inner_out::redispatch(dispatchKeySet, self, other, out);
    }
    
    // aten::outer(Tensor self, Tensor vec2) -> Tensor
    TORCH_API inline at::Tensor outer(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2) {
        return at::_ops::outer::redispatch(dispatchKeySet, self, vec2);
    }
    
    // aten::outer.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & outer_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec2) {
        return at::_ops::outer_out::redispatch(dispatchKeySet, self, vec2, out);
    }
    
    // aten::outer.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & outer_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) {
        return at::_ops::outer_out::redispatch(dispatchKeySet, self, vec2, out);
    }
    
    // aten::ger(Tensor self, Tensor vec2) -> Tensor
    TORCH_API inline at::Tensor ger(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2) {
        return at::_ops::ger::redispatch(dispatchKeySet, self, vec2);
    }
    
    // aten::ger.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ger_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec2) {
        return at::_ops::ger_out::redispatch(dispatchKeySet, self, vec2, out);
    }
    
    // aten::ger.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & ger_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) {
        return at::_ops::ger_out::redispatch(dispatchKeySet, self, vec2, out);
    }
    
    // aten::linalg_norm(Tensor self, Scalar? ord=None, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor linalg_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & ord=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_norm::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype);
    }
    
    // aten::linalg_norm.ord_str(Tensor self, str ord, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor linalg_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord, c10::optional<at::IntArrayRef> dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_norm_ord_str::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype);
    }
    
    // aten::linalg_norm.out(Tensor self, Scalar? ord=None, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & ord=c10::nullopt, c10::optional<at::IntArrayRef> dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_norm.out(Tensor self, Scalar? ord=None, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & ord, c10::optional<at::IntArrayRef> dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::linalg_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_norm.ord_str_out(Tensor self, str ord, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view ord, c10::optional<at::IntArrayRef> dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_norm_ord_str_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_norm.ord_str_out(Tensor self, str ord, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord, c10::optional<at::IntArrayRef> dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::linalg_norm_ord_str_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_vector_norm(Tensor self, Scalar ord=2, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor linalg_vector_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord=2, c10::optional<at::IntArrayRef> dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_vector_norm::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype);
    }
    
    // aten::linalg_vector_norm.out(Tensor self, Scalar ord=2, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_vector_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & ord=2, c10::optional<at::IntArrayRef> dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_vector_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_vector_norm.out(Tensor self, Scalar ord=2, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_vector_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord, c10::optional<at::IntArrayRef> dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::linalg_vector_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_matrix_norm(Tensor self, Scalar ord, int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor linalg_matrix_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_matrix_norm::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype);
    }
    
    // aten::linalg_matrix_norm.out(Tensor self, Scalar ord, int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_matrix_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_matrix_norm.out(Tensor self, Scalar ord, int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::linalg_matrix_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_matrix_norm.str_ord(Tensor self, str ord='fro', int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
    TORCH_API inline at::Tensor linalg_matrix_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord="fro", at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_matrix_norm_str_ord::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype);
    }
    
    // aten::linalg_matrix_norm.str_ord_out(Tensor self, str ord='fro', int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view ord="fro", at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
        return at::_ops::linalg_matrix_norm_str_ord_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_matrix_norm.str_ord_out(Tensor self, str ord='fro', int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
        return at::_ops::linalg_matrix_norm_str_ord_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out);
    }
    
    // aten::linalg_svd.U(Tensor self, bool full_matrices=True, *, Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_svd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & U, at::Tensor & S, at::Tensor & Vh, const at::Tensor & self, bool full_matrices=true) {
        return at::_ops::linalg_svd_U::redispatch(dispatchKeySet, self, full_matrices, U, S, Vh);
    }
    
    // aten::linalg_svd.U(Tensor self, bool full_matrices=True, *, Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_svd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool full_matrices, at::Tensor & U, at::Tensor & S, at::Tensor & Vh) {
        return at::_ops::linalg_svd_U::redispatch(dispatchKeySet, self, full_matrices, U, S, Vh);
    }
    
    // aten::linalg_svd(Tensor self, bool full_matrices=True) -> (Tensor U, Tensor S, Tensor Vh)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linalg_svd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool full_matrices=true) {
        return at::_ops::linalg_svd::redispatch(dispatchKeySet, self, full_matrices);
    }
    
    // aten::linalg_svdvals(Tensor input) -> Tensor
    TORCH_API inline at::Tensor linalg_svdvals(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input) {
        return at::_ops::linalg_svdvals::redispatch(dispatchKeySet, input);
    }
    
    // aten::linalg_svdvals.out(Tensor input, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_svdvals_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input) {
        return at::_ops::linalg_svdvals_out::redispatch(dispatchKeySet, input, out);
    }
    
    // aten::linalg_svdvals.out(Tensor input, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_svdvals_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::Tensor & out) {
        return at::_ops::linalg_svdvals_out::redispatch(dispatchKeySet, input, out);
    }
    
    // aten::linalg_cond(Tensor self, Scalar? p=None) -> Tensor
    TORCH_API inline at::Tensor linalg_cond(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p=c10::nullopt) {
        return at::_ops::linalg_cond::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::linalg_cond.out(Tensor self, Scalar? p=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_cond_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p=c10::nullopt) {
        return at::_ops::linalg_cond_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::linalg_cond.out(Tensor self, Scalar? p=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_cond_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::Tensor & out) {
        return at::_ops::linalg_cond_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::linalg_cond.p_str(Tensor self, str p) -> Tensor
    TORCH_API inline at::Tensor linalg_cond(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view p) {
        return at::_ops::linalg_cond_p_str::redispatch(dispatchKeySet, self, p);
    }
    
    // aten::linalg_cond.p_str_out(Tensor self, str p, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_cond_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view p) {
        return at::_ops::linalg_cond_p_str_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::linalg_cond.p_str_out(Tensor self, str p, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_cond_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view p, at::Tensor & out) {
        return at::_ops::linalg_cond_p_str_out::redispatch(dispatchKeySet, self, p, out);
    }
    
    // aten::linalg_pinv(Tensor self, float rcond=1e-15, bool hermitian=False) -> Tensor
    TORCH_API inline at::Tensor linalg_pinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double rcond=1e-15, bool hermitian=false) {
        return at::_ops::linalg_pinv::redispatch(dispatchKeySet, self, rcond, hermitian);
    }
    
    // aten::linalg_pinv.rcond_tensor(Tensor self, Tensor rcond, bool hermitian=False) -> Tensor
    TORCH_API inline at::Tensor linalg_pinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & rcond, bool hermitian=false) {
        return at::_ops::linalg_pinv_rcond_tensor::redispatch(dispatchKeySet, self, rcond, hermitian);
    }
    
    // aten::linalg_pinv.out(Tensor self, float rcond=1e-15, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_pinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double rcond=1e-15, bool hermitian=false) {
        return at::_ops::linalg_pinv_out::redispatch(dispatchKeySet, self, rcond, hermitian, out);
    }
    
    // aten::linalg_pinv.out(Tensor self, float rcond=1e-15, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_pinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double rcond, bool hermitian, at::Tensor & out) {
        return at::_ops::linalg_pinv_out::redispatch(dispatchKeySet, self, rcond, hermitian, out);
    }
    
    // aten::linalg_pinv.out_rcond_tensor(Tensor self, Tensor rcond, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_pinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & rcond, bool hermitian=false) {
        return at::_ops::linalg_pinv_out_rcond_tensor::redispatch(dispatchKeySet, self, rcond, hermitian, out);
    }
    
    // aten::linalg_pinv.out_rcond_tensor(Tensor self, Tensor rcond, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_pinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & rcond, bool hermitian, at::Tensor & out) {
        return at::_ops::linalg_pinv_out_rcond_tensor::redispatch(dispatchKeySet, self, rcond, hermitian, out);
    }
    
    // aten::linalg_solve(Tensor input, Tensor other) -> Tensor
    TORCH_API inline at::Tensor linalg_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & other) {
        return at::_ops::linalg_solve::redispatch(dispatchKeySet, input, other);
    }
    
    // aten::linalg_solve.out(Tensor input, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & other) {
        return at::_ops::linalg_solve_out::redispatch(dispatchKeySet, input, other, out);
    }
    
    // aten::linalg_solve.out(Tensor input, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & other, at::Tensor & out) {
        return at::_ops::linalg_solve_out::redispatch(dispatchKeySet, input, other, out);
    }
    
    // aten::linalg_tensorinv(Tensor self, int ind=2) -> Tensor
    TORCH_API inline at::Tensor linalg_tensorinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t ind=2) {
        return at::_ops::linalg_tensorinv::redispatch(dispatchKeySet, self, ind);
    }
    
    // aten::linalg_tensorinv.out(Tensor self, int ind=2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_tensorinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t ind=2) {
        return at::_ops::linalg_tensorinv_out::redispatch(dispatchKeySet, self, ind, out);
    }
    
    // aten::linalg_tensorinv.out(Tensor self, int ind=2, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_tensorinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t ind, at::Tensor & out) {
        return at::_ops::linalg_tensorinv_out::redispatch(dispatchKeySet, self, ind, out);
    }
    
    // aten::linalg_tensorsolve(Tensor self, Tensor other, int[]? dims=None) -> Tensor
    TORCH_API inline at::Tensor linalg_tensorsolve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<at::IntArrayRef> dims=c10::nullopt) {
        return at::_ops::linalg_tensorsolve::redispatch(dispatchKeySet, self, other, dims);
    }
    
    // aten::linalg_tensorsolve.out(Tensor self, Tensor other, int[]? dims=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_tensorsolve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<at::IntArrayRef> dims=c10::nullopt) {
        return at::_ops::linalg_tensorsolve_out::redispatch(dispatchKeySet, self, other, dims, out);
    }
    
    // aten::linalg_tensorsolve.out(Tensor self, Tensor other, int[]? dims=None, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_tensorsolve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<at::IntArrayRef> dims, at::Tensor & out) {
        return at::_ops::linalg_tensorsolve_out::redispatch(dispatchKeySet, self, other, dims, out);
    }
    
    // aten::linalg_qr(Tensor self, str mode='reduced') -> (Tensor Q, Tensor R)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> linalg_qr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view mode="reduced") {
        return at::_ops::linalg_qr::redispatch(dispatchKeySet, self, mode);
    }
    
    // aten::linalg_qr.out(Tensor self, str mode='reduced', *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_qr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & Q, at::Tensor & R, const at::Tensor & self, c10::string_view mode="reduced") {
        return at::_ops::linalg_qr_out::redispatch(dispatchKeySet, self, mode, Q, R);
    }
    
    // aten::linalg_qr.out(Tensor self, str mode='reduced', *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R)
    TORCH_API inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_qr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view mode, at::Tensor & Q, at::Tensor & R) {
        return at::_ops::linalg_qr_out::redispatch(dispatchKeySet, self, mode, Q, R);
    }
    
    // aten::_linalg_qr_helper(Tensor self, str mode) -> (Tensor, Tensor)
    TORCH_API inline ::std::tuple<at::Tensor,at::Tensor> _linalg_qr_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view mode) {
        return at::_ops::_linalg_qr_helper::redispatch(dispatchKeySet, self, mode);
    }
    
    // aten::linalg_matrix_power(Tensor self, int n) -> Tensor
    TORCH_API inline at::Tensor linalg_matrix_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n) {
        return at::_ops::linalg_matrix_power::redispatch(dispatchKeySet, self, n);
    }
    
    // aten::linalg_matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t n) {
        return at::_ops::linalg_matrix_power_out::redispatch(dispatchKeySet, self, n, out);
    }
    
    // aten::linalg_matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n, at::Tensor & out) {
        return at::_ops::linalg_matrix_power_out::redispatch(dispatchKeySet, self, n, out);
    }
    
    // aten::linalg_matrix_rank(Tensor self, float? tol=None, bool hermitian=False) -> Tensor
    TORCH_API inline at::Tensor linalg_matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> tol=c10::nullopt, bool hermitian=false) {
        return at::_ops::linalg_matrix_rank::redispatch(dispatchKeySet, self, tol, hermitian);
    }
    
    // aten::linalg_matrix_rank.out(Tensor self, float? tol=None, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_rank_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> tol=c10::nullopt, bool hermitian=false) {
        return at::_ops::linalg_matrix_rank_out::redispatch(dispatchKeySet, self, tol, hermitian, out);
    }
    
    // aten::linalg_matrix_rank.out(Tensor self, float? tol=None, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_rank_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> tol, bool hermitian, at::Tensor & out) {
        return at::_ops::linalg_matrix_rank_out::redispatch(dispatchKeySet, self, tol, hermitian, out);
    }
    
    // aten::linalg_matrix_rank.tol_tensor(Tensor input, Tensor tol, bool hermitian=False) -> Tensor
    TORCH_API inline at::Tensor linalg_matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tol, bool hermitian=false) {
        return at::_ops::linalg_matrix_rank_tol_tensor::redispatch(dispatchKeySet, input, tol, hermitian);
    }
    
    // aten::linalg_matrix_rank.out_tol_tensor(Tensor input, Tensor tol, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_rank_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & tol, bool hermitian=false) {
        return at::_ops::linalg_matrix_rank_out_tol_tensor::redispatch(dispatchKeySet, input, tol, hermitian, out);
    }
    
    // aten::linalg_matrix_rank.out_tol_tensor(Tensor input, Tensor tol, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_matrix_rank_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tol, bool hermitian, at::Tensor & out) {
        return at::_ops::linalg_matrix_rank_out_tol_tensor::redispatch(dispatchKeySet, input, tol, hermitian, out);
    }
    
    // aten::linalg_multi_dot(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor linalg_multi_dot(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::linalg_multi_dot::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::linalg_multi_dot.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_multi_dot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) {
        return at::_ops::linalg_multi_dot_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::linalg_multi_dot.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)
    TORCH_API inline at::Tensor & linalg_multi_dot_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) {
        return at::_ops::linalg_multi_dot_out::redispatch(dispatchKeySet, tensors, out);
    }
    
    // aten::_test_serialization_subcmul(Tensor self, Tensor other, Scalar alpha=1) -> Tensor
    TORCH_API inline at::Tensor _test_serialization_subcmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) {
        return at::_ops::_test_serialization_subcmul::redispatch(dispatchKeySet, self, other, alpha);
    }
    
    // aten::_test_optional_intlist(Tensor values, int[]? addends) -> Tensor
    TORCH_API inline at::Tensor _test_optional_intlist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, c10::optional<at::IntArrayRef> addends) {
        return at::_ops::_test_optional_intlist::redispatch(dispatchKeySet, values, addends);
    }
    
    // aten::_test_optional_filled_intlist(Tensor values, int[2]? addends) -> Tensor
    TORCH_API inline at::Tensor _test_optional_filled_intlist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, c10::optional<at::IntArrayRef> addends) {
        return at::_ops::_test_optional_filled_intlist::redispatch(dispatchKeySet, values, addends);
    }
    
    // aten::_test_optional_floatlist(Tensor values, float[]? addends) -> Tensor
    TORCH_API inline at::Tensor _test_optional_floatlist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, c10::optional<at::ArrayRef<double>> addends) {
        return at::_ops::_test_optional_floatlist::redispatch(dispatchKeySet, values, addends);
    }
    
    // aten::_test_string_default(Tensor dummy, str a="\"'\\", str b='"\'\\') -> Tensor
    TORCH_API inline at::Tensor _test_string_default(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dummy, c10::string_view a="\"'\\", c10::string_view b="\"'\\") {
        return at::_ops::_test_string_default::redispatch(dispatchKeySet, dummy, a, b);
    }
    
    // aten::_test_ambiguous_defaults.a(Tensor dummy, int a=1, int b=1) -> Tensor
    TORCH_API inline at::Tensor _test_ambiguous_defaults(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dummy, int64_t a=1, int64_t b=1) {
        return at::_ops::_test_ambiguous_defaults_a::redispatch(dispatchKeySet, dummy, a, b);
    }
    
    // aten::_test_ambiguous_defaults.b(Tensor dummy, int a=2, str b="2") -> Tensor
    TORCH_API inline at::Tensor _test_ambiguous_defaults(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dummy, int64_t a, c10::string_view b) {
        return at::_ops::_test_ambiguous_defaults_b::redispatch(dispatchKeySet, dummy, a, b);
    }
    
    // aten::segment_reduce(Tensor data, str reduce, *, Tensor? lengths=None, Tensor? indices=None, int axis=0, bool unsafe=False, Scalar? initial=None) -> Tensor
    TORCH_API inline at::Tensor segment_reduce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths={}, const c10::optional<at::Tensor> & indices={}, int64_t axis=0, bool unsafe=false, const c10::optional<at::Scalar> & initial=c10::nullopt) {
        return at::_ops::segment_reduce::redispatch(dispatchKeySet, data, reduce, lengths, indices, axis, unsafe, initial);
    }
    
    // aten::_segment_reduce_backward(Tensor grad, Tensor output, Tensor data, str reduce, *, Tensor? lengths=None, int axis=0) -> Tensor
    TORCH_API inline at::Tensor _segment_reduce_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & output, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths={}, int64_t axis=0) {
        return at::_ops::_segment_reduce_backward::redispatch(dispatchKeySet, grad, output, data, reduce, lengths, axis);
    }
    
    // aten::pad_sequence(Tensor[] sequences, bool batch_first=False, float padding_value=0.0) -> Tensor
    TORCH_API inline at::Tensor pad_sequence(c10::DispatchKeySet dispatchKeySet, at::TensorList sequences, bool batch_first=false, double padding_value=0.0) {
        return at::_ops::pad_sequence::redispatch(dispatchKeySet, sequences, batch_first, padding_value);
    }
    
    // aten::flatten_dense_tensors(Tensor[] tensors) -> Tensor
    TORCH_API inline at::Tensor flatten_dense_tensors(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) {
        return at::_ops::flatten_dense_tensors::redispatch(dispatchKeySet, tensors);
    }
    
    // aten::unflatten_dense_tensors(Tensor flat, Tensor[] tensors) -> Tensor[]
    TORCH_API inline ::std::vector<at::Tensor> unflatten_dense_tensors(c10::DispatchKeySet dispatchKeySet, const at::Tensor & flat, at::TensorList tensors) {
        return at::_ops::unflatten_dense_tensors::redispatch(dispatchKeySet, flat, tensors);
    }
} // namespace redispatch

}

cmd: