/usr/local/lib64/python3.6/site-packages/torch/include/ATen/
/usr/local/lib64/python3.6/site-packages/torch/include/ATen
NameSizeModeActions
core/-0755rm
cpu/-0755rm
cuda/-0755rm
cudnn/-0755rm
detail/-0755rm
hip/-0755rm
native/-0755rm
quantized/-0755rm
AccumulateType.h44380644editdlrm
ArrayRef.h440644editdlrm
ATen.h9980644editdlrm
autocast_mode.h67160644editdlrm
Backend.h430644editdlrm
Backtrace.h460644editdlrm
BatchedFallback.h9650644editdlrm
BatchedTensorImpl.h53830644editdlrm
CompositeExplicitAutogradFunctions.h16220644editdlrm
CompositeExplicitAutogradFunctions_inl.h540750644editdlrm
CompositeImplicitAutogradFunctions.h16220644editdlrm
CompositeImplicitAutogradFunctions_inl.h1420820644editdlrm
Config.h7340644editdlrm
Context.h127670644editdlrm
cpp_custom_type_hack.h53260644editdlrm
CPUApplyUtils.h125820644editdlrm
CPUFixedAllocator.h8300644editdlrm
CPUFunctions.h16000644editdlrm
CPUFunctions_inl.h1719240644editdlrm
CPUGeneratorImpl.h14310644editdlrm
CUDAFunctions.h16010644editdlrm
CUDAFunctions_inl.h1856960644editdlrm
CUDAGeneratorImpl.h46950644editdlrm
Device.h420644editdlrm
DeviceGuard.h11340644editdlrm
Dimname.h310644editdlrm
DimVector.h460644editdlrm
Dispatch.h521370644editdlrm
div_rtn.h2040644editdlrm
DLConvertor.h5760644editdlrm
dlpack.h52440644editdlrm
DynamicLibrary.h3690644editdlrm
ExpandUtils.h145060644editdlrm
Formatting.h340644editdlrm
Functions.h8463260644editdlrm
Generator.h460644editdlrm
InferSize.h21430644editdlrm
InitialTensorOptions.h4450644editdlrm
Layout.h420644editdlrm
MapAllocator.h29990644editdlrm
MatrixRef.h30160644editdlrm
MemoryOverlap.h11170644editdlrm
MetaFunctions.h16010644editdlrm
MetaFunctions_inl.h840060644editdlrm
NamedTensor.h350644editdlrm
NamedTensorUtils.h57470644editdlrm
NativeFunctions.h3546510644editdlrm
NativeMetaFunctions.h354450644editdlrm
NumericUtils.h27870644editdlrm
OpaqueTensorImpl.h60800644editdlrm
Operators.h17071990644editdlrm
OpMathType.h4600644editdlrm
Parallel.h48750644editdlrm
ParallelNative.h24430644editdlrm
ParallelNativeTBB.h29340644editdlrm
ParallelOpenMP.h30490644editdlrm
PTThreadPool.h3940644editdlrm
record_function.h240440644editdlrm
RedispatchFunctions.h11128860644editdlrm
RegistrationDeclarations.h5457770644editdlrm
SavedTensorHooks.h3280644editdlrm
Scalar.h440644editdlrm
ScalarOps.h22720644editdlrm
ScalarType.h1290644editdlrm
SequenceNumber.h3730644editdlrm
SmallVector.h470644editdlrm
SparseCsrTensorImpl.h20450644editdlrm
SparseCsrTensorUtils.h5230644editdlrm
SparseTensorImpl.h124170644editdlrm
SparseTensorUtils.h42190644editdlrm
Storage.h430644editdlrm
Tensor.h480644editdlrm
TensorAccessor.h510644editdlrm
TensorGeometry.h18550644editdlrm
TensorIndexing.h219230644editdlrm
TensorIterator.h299620644editdlrm
TensorIteratorInternal.h18620644editdlrm
TensorMeta.h29170644editdlrm
TensorNames.h25190644editdlrm
TensorOperators.h32750644editdlrm
TensorOptions.h490644editdlrm
TensorUtils.h56870644editdlrm
ThreadLocalState.h32890644editdlrm
TracerMode.h55760644editdlrm
TypeDefault.h6800644editdlrm
Utils.h59930644editdlrm
Version.h3400644editdlrm
VmapMode.h9520644editdlrm
VmapTransforms.h76540644editdlrm
WrapDimUtils.h34380644editdlrm
WrapDimUtilsMulti.h7680644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/ATen/MetaFunctions_inl.h (84006B)
// @generated by tools/codegen/gen.py from DispatchKeyFunctions_inl.h // NB: The implementing C++ file is RegisterDispatchKey.cpp // The only #includes we need are for custom classes that have defaults in the C++ API #include #include #include namespace at { namespace meta { TORCH_API at::Tensor sgn(const at::Tensor & self); TORCH_API at::Tensor & sgn_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & sgn_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & sgn_(at::Tensor & self); TORCH_API at::Tensor acos(const at::Tensor & self); TORCH_API at::Tensor & acos_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & acos_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & acos_(at::Tensor & self); TORCH_API at::Tensor add(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1); TORCH_API at::Tensor & add_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1); TORCH_API at::Tensor & add_outf(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out); TORCH_API at::Tensor & add_(at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1); TORCH_API at::Tensor & _add_relu_(at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1); TORCH_API at::Tensor & _add_relu_(at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1); TORCH_API at::Tensor addmv(const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1); TORCH_API at::Tensor & addmv_out(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); TORCH_API at::Tensor & addmv_outf(const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out); TORCH_API at::Tensor & addmv_(at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1); TORCH_API at::Tensor all(const at::Tensor & self, int64_t dim, bool keepdim=false); TORCH_API at::Tensor & all_out(at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false); TORCH_API at::Tensor & all_outf(const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & out); TORCH_API at::Tensor any(const at::Tensor & self, int64_t dim, bool keepdim=false); TORCH_API at::Tensor & any_out(at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false); TORCH_API at::Tensor & any_outf(const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & out); TORCH_API at::Tensor argmax(const at::Tensor & self, c10::optional dim=c10::nullopt, bool keepdim=false); TORCH_API at::Tensor & argmax_out(at::Tensor & out, const at::Tensor & self, c10::optional dim=c10::nullopt, bool keepdim=false); TORCH_API at::Tensor & argmax_outf(const at::Tensor & self, c10::optional dim, bool keepdim, at::Tensor & out); TORCH_API at::Tensor argmin(const at::Tensor & self, c10::optional dim=c10::nullopt, bool keepdim=false); TORCH_API at::Tensor & argmin_out(at::Tensor & out, const at::Tensor & self, c10::optional dim=c10::nullopt, bool keepdim=false); TORCH_API at::Tensor & argmin_outf(const at::Tensor & self, c10::optional dim, bool keepdim, at::Tensor & out); TORCH_API at::Tensor acosh(const at::Tensor & self); TORCH_API at::Tensor & acosh_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & acosh_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & acosh_(at::Tensor & self); TORCH_API at::Tensor asinh(const at::Tensor & self); TORCH_API at::Tensor & asinh_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & asinh_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & asinh_(at::Tensor & self); TORCH_API at::Tensor atanh(const at::Tensor & self); TORCH_API at::Tensor & atanh_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & atanh_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & atanh_(at::Tensor & self); TORCH_API at::Tensor as_strided(const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional storage_offset=c10::nullopt); TORCH_API at::Tensor asin(const at::Tensor & self); TORCH_API at::Tensor & asin_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & asin_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & asin_(at::Tensor & self); TORCH_API at::Tensor atan(const at::Tensor & self); TORCH_API at::Tensor & atan_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & atan_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & atan_(at::Tensor & self); TORCH_API at::Tensor & baddbmm_(at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1); TORCH_API at::Tensor & bernoulli_(at::Tensor & self, const at::Tensor & p, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & bernoulli_(at::Tensor & self, double p=0.5, c10::optional generator=c10::nullopt); TORCH_API at::Tensor bitwise_not(const at::Tensor & self); TORCH_API at::Tensor & bitwise_not_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & bitwise_not_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & bitwise_not_(at::Tensor & self); TORCH_API at::Tensor copysign(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & copysign_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & copysign_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & copysign_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor ceil(const at::Tensor & self); TORCH_API at::Tensor & ceil_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & ceil_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & ceil_(at::Tensor & self); TORCH_API at::Tensor clamp(const at::Tensor & self, const c10::optional & min, const c10::optional & max=c10::nullopt); TORCH_API at::Tensor & clamp_out(at::Tensor & out, const at::Tensor & self, const c10::optional & min, const c10::optional & max=c10::nullopt); TORCH_API at::Tensor & clamp_outf(const at::Tensor & self, const c10::optional & min, const c10::optional & max, at::Tensor & out); TORCH_API at::Tensor & clamp_(at::Tensor & self, const c10::optional & min, const c10::optional & max=c10::nullopt); TORCH_API at::Tensor cos(const at::Tensor & self); TORCH_API at::Tensor & cos_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & cos_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & cos_(at::Tensor & self); TORCH_API at::Tensor cosh(const at::Tensor & self); TORCH_API at::Tensor & cosh_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & cosh_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & cosh_(at::Tensor & self); TORCH_API at::Tensor cumprod(const at::Tensor & self, int64_t dim, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & cumprod_out(at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & cumprod_outf(const at::Tensor & self, int64_t dim, c10::optional dtype, at::Tensor & out); TORCH_API at::Tensor & cumprod_(at::Tensor & self, int64_t dim, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor cumsum(const at::Tensor & self, int64_t dim, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & cumsum_out(at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & cumsum_outf(const at::Tensor & self, int64_t dim, c10::optional dtype, at::Tensor & out); TORCH_API at::Tensor & cumsum_(at::Tensor & self, int64_t dim, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor div(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & div_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & div_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & div_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor div(const at::Tensor & self, const at::Tensor & other, c10::optional rounding_mode); TORCH_API at::Tensor & div_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional rounding_mode); TORCH_API at::Tensor & div_outf(const at::Tensor & self, const at::Tensor & other, c10::optional rounding_mode, at::Tensor & out); TORCH_API at::Tensor & div_(at::Tensor & self, const at::Tensor & other, c10::optional rounding_mode); TORCH_API at::Tensor & embedding_renorm_(at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type); TORCH_API at::Tensor empty(at::IntArrayRef size, at::TensorOptions options={}, c10::optional memory_format=c10::nullopt); TORCH_API at::Tensor empty(at::IntArrayRef size, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory, c10::optional memory_format); TORCH_API const at::Tensor & resize_(const at::Tensor & self, at::IntArrayRef size, c10::optional memory_format=c10::nullopt); TORCH_API at::Tensor empty_strided(at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}); TORCH_API at::Tensor empty_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory); TORCH_API at::Tensor erf(const at::Tensor & self); TORCH_API at::Tensor & erf_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & erf_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & erf_(at::Tensor & self); TORCH_API at::Tensor erfc(const at::Tensor & self); TORCH_API at::Tensor & erfc_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & erfc_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & erfc_(at::Tensor & self); TORCH_API at::Tensor exp(const at::Tensor & self); TORCH_API at::Tensor & exp_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & exp_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & exp_(at::Tensor & self); TORCH_API at::Tensor exp2(const at::Tensor & self); TORCH_API at::Tensor & exp2_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & exp2_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & exp2_(at::Tensor & self); TORCH_API at::Tensor expm1(const at::Tensor & self); TORCH_API at::Tensor & expm1_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & expm1_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & expm1_(at::Tensor & self); TORCH_API at::Tensor & fill_(at::Tensor & self, const at::Scalar & value); TORCH_API at::Tensor & fill_(at::Tensor & self, const at::Tensor & value); TORCH_API at::Tensor floor(const at::Tensor & self); TORCH_API at::Tensor & floor_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & floor_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & floor_(at::Tensor & self); TORCH_API at::Tensor & floor_divide_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor frac(const at::Tensor & self); TORCH_API at::Tensor & frac_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & frac_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & frac_(at::Tensor & self); TORCH_API at::Tensor gcd(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & gcd_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & gcd_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & gcd_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor lcm(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & lcm_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & lcm_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & lcm_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & _index_put_impl_(at::Tensor & self, const c10::List> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false); TORCH_API at::Tensor isin(const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); TORCH_API at::Tensor & isin_outf(const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out); TORCH_API at::Tensor isin(const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false); TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false); TORCH_API at::Tensor & isin_outf(const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique, bool invert, at::Tensor & out); TORCH_API at::Tensor isin(const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); TORCH_API at::Tensor & isin_outf(const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out); TORCH_API at::Tensor log(const at::Tensor & self); TORCH_API at::Tensor & log_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & log_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & log_(at::Tensor & self); TORCH_API at::Tensor log10(const at::Tensor & self); TORCH_API at::Tensor & log10_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & log10_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & log10_(at::Tensor & self); TORCH_API at::Tensor log1p(const at::Tensor & self); TORCH_API at::Tensor & log1p_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & log1p_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & log1p_(at::Tensor & self); TORCH_API at::Tensor log2(const at::Tensor & self); TORCH_API at::Tensor & log2_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & log2_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & log2_(at::Tensor & self); TORCH_API at::Tensor logaddexp(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & logaddexp_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & logaddexp_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor logaddexp2(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & logaddexp2_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & logaddexp2_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor xlogy(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & xlogy_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & xlogy_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & xlogy_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor _log_softmax(const at::Tensor & self, int64_t dim, bool half_to_float); TORCH_API at::Tensor & _log_softmax_out(at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float); TORCH_API at::Tensor & _log_softmax_outf(const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out); TORCH_API at::Tensor _log_softmax_backward_data(const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self); TORCH_API at::Tensor & _log_softmax_backward_data_out(at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self); TORCH_API at::Tensor & _log_softmax_backward_data_outf(const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self, at::Tensor & out); TORCH_API ::std::tuple aminmax(const at::Tensor & self, c10::optional dim=c10::nullopt, bool keepdim=false); TORCH_API ::std::tuple aminmax_out(at::Tensor & min, at::Tensor & max, const at::Tensor & self, c10::optional dim=c10::nullopt, bool keepdim=false); TORCH_API ::std::tuple aminmax_outf(const at::Tensor & self, c10::optional dim, bool keepdim, at::Tensor & min, at::Tensor & max); TORCH_API at::Tensor mean(const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & mean_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & mean_outf(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional dtype, at::Tensor & out); TORCH_API at::Tensor mm(const at::Tensor & self, const at::Tensor & mat2); TORCH_API at::Tensor & mm_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & mat2); TORCH_API at::Tensor & mm_outf(const at::Tensor & self, const at::Tensor & mat2, at::Tensor & out); TORCH_API at::Tensor mul(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & mul_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & mul_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & mul_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor reciprocal(const at::Tensor & self); TORCH_API at::Tensor & reciprocal_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & reciprocal_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & reciprocal_(at::Tensor & self); TORCH_API at::Tensor neg(const at::Tensor & self); TORCH_API at::Tensor & neg_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & neg_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & neg_(at::Tensor & self); TORCH_API at::Tensor _reshape_alias(const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride); TORCH_API at::Tensor round(const at::Tensor & self); TORCH_API at::Tensor & round_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & round_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & round_(at::Tensor & self); TORCH_API at::Tensor & relu_(at::Tensor & self); TORCH_API at::Tensor gelu(const at::Tensor & self); TORCH_API at::Tensor & gelu_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & gelu_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor gelu_backward(const at::Tensor & grad, const at::Tensor & self); TORCH_API at::Tensor & gelu_backward_out(at::Tensor & grad_input, const at::Tensor & grad, const at::Tensor & self); TORCH_API at::Tensor & gelu_backward_outf(const at::Tensor & grad, const at::Tensor & self, at::Tensor & grad_input); TORCH_API at::Tensor hardshrink(const at::Tensor & self, const at::Scalar & lambd=0.5); TORCH_API at::Tensor & hardshrink_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & lambd=0.5); TORCH_API at::Tensor & hardshrink_outf(const at::Tensor & self, const at::Scalar & lambd, at::Tensor & out); TORCH_API at::Tensor hardshrink_backward(const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd); TORCH_API at::Tensor & hardshrink_backward_out(at::Tensor & grad_input, const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd); TORCH_API at::Tensor & hardshrink_backward_outf(const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & grad_input); TORCH_API at::Tensor rsqrt(const at::Tensor & self); TORCH_API at::Tensor & rsqrt_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & rsqrt_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & rsqrt_(at::Tensor & self); TORCH_API at::Tensor silu(const at::Tensor & self); TORCH_API at::Tensor & silu_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & silu_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & silu_(at::Tensor & self); TORCH_API at::Tensor silu_backward(const at::Tensor & grad_output, const at::Tensor & self); TORCH_API at::Tensor & silu_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self); TORCH_API at::Tensor & silu_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input); TORCH_API at::Tensor mish(const at::Tensor & self); TORCH_API at::Tensor & mish_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & mish_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & mish_(at::Tensor & self); TORCH_API at::Tensor sigmoid(const at::Tensor & self); TORCH_API at::Tensor & sigmoid_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & sigmoid_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & sigmoid_(at::Tensor & self); TORCH_API at::Tensor & logit_(at::Tensor & self, c10::optional eps=c10::nullopt); TORCH_API at::Tensor sin(const at::Tensor & self); TORCH_API at::Tensor & sin_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & sin_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & sin_(at::Tensor & self); TORCH_API at::Tensor sinc(const at::Tensor & self); TORCH_API at::Tensor & sinc_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & sinc_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & sinc_(at::Tensor & self); TORCH_API at::Tensor sinh(const at::Tensor & self); TORCH_API at::Tensor & sinh_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & sinh_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & sinh_(at::Tensor & self); TORCH_API at::Tensor _softmax(const at::Tensor & self, int64_t dim, bool half_to_float); TORCH_API at::Tensor & _softmax_out(at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float); TORCH_API at::Tensor & _softmax_outf(const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out); TORCH_API at::Tensor _softmax_backward_data(const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self); TORCH_API at::Tensor & _softmax_backward_data_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self); TORCH_API at::Tensor & _softmax_backward_data_outf(const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self, at::Tensor & grad_input); TORCH_API at::Tensor sum(const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & sum_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & sum_outf(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional dtype, at::Tensor & out); TORCH_API at::Tensor sqrt(const at::Tensor & self); TORCH_API at::Tensor & sqrt_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & sqrt_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & sqrt_(at::Tensor & self); TORCH_API at::Tensor prod(const at::Tensor & self, int64_t dim, bool keepdim=false, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & prod_out(at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false, c10::optional dtype=c10::nullopt); TORCH_API at::Tensor & prod_outf(const at::Tensor & self, int64_t dim, bool keepdim, c10::optional dtype, at::Tensor & out); TORCH_API at::Tensor tan(const at::Tensor & self); TORCH_API at::Tensor & tan_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & tan_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & tan_(at::Tensor & self); TORCH_API at::Tensor tanh(const at::Tensor & self); TORCH_API at::Tensor & tanh_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & tanh_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & tanh_(at::Tensor & self); TORCH_API at::Tensor threshold(const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value); TORCH_API at::Tensor & threshold_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value); TORCH_API at::Tensor & threshold_outf(const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value, at::Tensor & out); TORCH_API at::Tensor & threshold_(at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value); TORCH_API at::Tensor threshold_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold); TORCH_API at::Tensor & threshold_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold); TORCH_API at::Tensor & threshold_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold, at::Tensor & grad_input); TORCH_API at::Tensor & _mkldnn_transpose_(at::Tensor & self, int64_t dim0, int64_t dim1); TORCH_API at::Tensor trunc(const at::Tensor & self); TORCH_API at::Tensor & trunc_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & trunc_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & trunc_(at::Tensor & self); TORCH_API at::Tensor norm(const at::Tensor & self, const c10::optional & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype); TORCH_API at::Tensor & norm_out(at::Tensor & out, const at::Tensor & self, const c10::optional & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype); TORCH_API at::Tensor & norm_outf(const at::Tensor & self, const c10::optional & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype, at::Tensor & out); TORCH_API at::Tensor norm(const at::Tensor & self, const c10::optional & p, at::IntArrayRef dim, bool keepdim=false); TORCH_API at::Tensor & norm_out(at::Tensor & out, const at::Tensor & self, const c10::optional & p, at::IntArrayRef dim, bool keepdim=false); TORCH_API at::Tensor & norm_outf(const at::Tensor & self, const c10::optional & p, at::IntArrayRef dim, bool keepdim, at::Tensor & out); TORCH_API const at::Tensor & resize_as_sparse_(const at::Tensor & self, const at::Tensor & the_template); TORCH_API at::Tensor & zero_(at::Tensor & self); TORCH_API at::Tensor sub(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1); TORCH_API at::Tensor & sub_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1); TORCH_API at::Tensor & sub_outf(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out); TORCH_API at::Tensor & sub_(at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1); TORCH_API at::Tensor heaviside(const at::Tensor & self, const at::Tensor & values); TORCH_API at::Tensor & heaviside_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & values); TORCH_API at::Tensor & heaviside_outf(const at::Tensor & self, const at::Tensor & values, at::Tensor & out); TORCH_API at::Tensor & heaviside_(at::Tensor & self, const at::Tensor & values); TORCH_API at::Tensor addmm(const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1); TORCH_API at::Tensor & addmm_out(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); TORCH_API at::Tensor & addmm_outf(const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out); TORCH_API at::Tensor & addmm_(at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1); TORCH_API const at::Tensor & sparse_resize_(const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); TORCH_API const at::Tensor & sparse_resize_and_clear_(const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); TORCH_API at::Tensor & _coalesced_(at::Tensor & self, bool coalesced); TORCH_API at::Tensor & copy_sparse_to_sparse_(at::Tensor & self, const at::Tensor & src, bool non_blocking=false); TORCH_API at::Tensor & set_(at::Tensor & self, at::Storage source); TORCH_API at::Tensor & set_(at::Tensor & self, at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}); TORCH_API at::Tensor & set_(at::Tensor & self, const at::Tensor & source); TORCH_API at::Tensor & set_(at::Tensor & self); TORCH_API at::Tensor & masked_fill_(at::Tensor & self, const at::Tensor & mask, const at::Scalar & value); TORCH_API at::Tensor & masked_fill_(at::Tensor & self, const at::Tensor & mask, const at::Tensor & value); TORCH_API at::Tensor & masked_scatter_(at::Tensor & self, const at::Tensor & mask, const at::Tensor & source); TORCH_API at::Tensor view(const at::Tensor & self, at::IntArrayRef size); TORCH_API at::Tensor & put_(at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false); TORCH_API at::Tensor & index_add_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha); TORCH_API at::Tensor & index_fill_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value); TORCH_API at::Tensor & index_fill_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & value); TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src); TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src); TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, at::Tensor & out); TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src); TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value); TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value); TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, at::Tensor & out); TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value); TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce); TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce); TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, at::Tensor & out); TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce); TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce); TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce); TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce, at::Tensor & out); TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce); TORCH_API at::Tensor scatter_add(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src); TORCH_API at::Tensor & scatter_add_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src); TORCH_API at::Tensor & scatter_add_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, at::Tensor & out); TORCH_API at::Tensor & scatter_add_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src); TORCH_API at::Tensor eq(const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & eq_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & eq_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out); TORCH_API at::Tensor & eq_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor eq(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & eq_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & eq_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & eq_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor bitwise_and(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_and_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_and_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & bitwise_and_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor bitwise_or(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_or_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_or_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & bitwise_or_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor bitwise_xor(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_xor_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_xor_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & bitwise_xor_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & __ilshift__(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & __ilshift__(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor bitwise_left_shift(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_left_shift_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_left_shift_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & bitwise_left_shift_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_left_shift_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & __irshift__(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & __irshift__(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor bitwise_right_shift(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_right_shift_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_right_shift_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & bitwise_right_shift_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & bitwise_right_shift_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & tril_(at::Tensor & self, int64_t diagonal=0); TORCH_API at::Tensor & triu_(at::Tensor & self, int64_t diagonal=0); TORCH_API at::Tensor digamma(const at::Tensor & self); TORCH_API at::Tensor & digamma_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & digamma_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & digamma_(at::Tensor & self); TORCH_API at::Tensor & lerp_(at::Tensor & self, const at::Tensor & end, const at::Scalar & weight); TORCH_API at::Tensor & lerp_(at::Tensor & self, const at::Tensor & end, const at::Tensor & weight); TORCH_API at::Tensor & addbmm_(at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1); TORCH_API at::Tensor & random_(at::Tensor & self, int64_t from, c10::optional to, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & random_(at::Tensor & self, int64_t to, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & random_(at::Tensor & self, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & uniform_(at::Tensor & self, double from=0, double to=1, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & cauchy_(at::Tensor & self, double median=0, double sigma=1, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & log_normal_(at::Tensor & self, double mean=1, double std=2, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & exponential_(at::Tensor & self, double lambd=1, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & geometric_(at::Tensor & self, double p, c10::optional generator=c10::nullopt); TORCH_API at::Tensor ne(const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & ne_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & ne_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out); TORCH_API at::Tensor & ne_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor ne(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & ne_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & ne_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & ne_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor ge(const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & ge_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & ge_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out); TORCH_API at::Tensor & ge_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor ge(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & ge_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & ge_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & ge_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor le(const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & le_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & le_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out); TORCH_API at::Tensor & le_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor le(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & le_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & le_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & le_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor gt(const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & gt_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & gt_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out); TORCH_API at::Tensor & gt_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor gt(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & gt_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & gt_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & gt_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor lt(const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & lt_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor & lt_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out); TORCH_API at::Tensor & lt_(at::Tensor & self, const at::Scalar & other); TORCH_API at::Tensor lt(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & lt_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & lt_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & lt_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor gather(const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad=false); TORCH_API at::Tensor & gather_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad=false); TORCH_API at::Tensor & gather_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad, at::Tensor & out); TORCH_API at::Tensor addcmul(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); TORCH_API at::Tensor & addcmul_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); TORCH_API at::Tensor & addcmul_outf(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out); TORCH_API at::Tensor & addcmul_(at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); TORCH_API at::Tensor addcdiv(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); TORCH_API at::Tensor & addcdiv_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); TORCH_API at::Tensor & addcdiv_outf(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out); TORCH_API at::Tensor & addcdiv_(at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); TORCH_API at::Tensor lgamma(const at::Tensor & self); TORCH_API at::Tensor & lgamma_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & lgamma_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & lgamma_(at::Tensor & self); TORCH_API at::Tensor polygamma(int64_t n, const at::Tensor & self); TORCH_API at::Tensor & polygamma_out(at::Tensor & out, int64_t n, const at::Tensor & self); TORCH_API at::Tensor & polygamma_outf(int64_t n, const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor erfinv(const at::Tensor & self); TORCH_API at::Tensor & erfinv_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & erfinv_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & erfinv_(at::Tensor & self); TORCH_API at::Tensor i0(const at::Tensor & self); TORCH_API at::Tensor & i0_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & i0_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & i0_(at::Tensor & self); TORCH_API at::Tensor sign(const at::Tensor & self); TORCH_API at::Tensor & sign_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & sign_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & sign_(at::Tensor & self); TORCH_API at::Tensor signbit(const at::Tensor & self); TORCH_API at::Tensor & signbit_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & signbit_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor atan2(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & atan2_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & atan2_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & atan2_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor fmod(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & fmod_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & fmod_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & fmod_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor hypot(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & hypot_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & hypot_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & hypot_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor igamma(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & igamma_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & igamma_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & igamma_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor igammac(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & igammac_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & igammac_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & igammac_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor nextafter(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & nextafter_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & nextafter_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & nextafter_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor remainder(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & remainder_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & remainder_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor & remainder_(at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor fmin(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & fmin_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & fmin_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor fmax(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & fmax_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & fmax_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor maximum(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & maximum_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & maximum_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor minimum(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & minimum_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & minimum_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API ::std::tuple topk(const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true); TORCH_API ::std::tuple topk_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true); TORCH_API ::std::tuple topk_outf(const at::Tensor & self, int64_t k, int64_t dim, bool largest, bool sorted, at::Tensor & values, at::Tensor & indices); TORCH_API at::Tensor all(const at::Tensor & self); TORCH_API at::Tensor & all_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & all_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor any(const at::Tensor & self); TORCH_API at::Tensor & any_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & any_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor renorm(const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm); TORCH_API at::Tensor & renorm_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm); TORCH_API at::Tensor & renorm_outf(const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm, at::Tensor & out); TORCH_API at::Tensor & renorm_(at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm); TORCH_API at::Tensor pow(const at::Tensor & self, const at::Tensor & exponent); TORCH_API at::Tensor & pow_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent); TORCH_API at::Tensor & pow_outf(const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out); TORCH_API at::Tensor & pow_(at::Tensor & self, const at::Tensor & exponent); TORCH_API at::Tensor pow(const at::Scalar & self, const at::Tensor & exponent); TORCH_API at::Tensor & pow_out(at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent); TORCH_API at::Tensor & pow_outf(const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out); TORCH_API at::Tensor pow(const at::Tensor & self, const at::Scalar & exponent); TORCH_API at::Tensor & pow_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent); TORCH_API at::Tensor & pow_outf(const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out); TORCH_API at::Tensor & pow_(at::Tensor & self, const at::Scalar & exponent); TORCH_API at::Tensor & normal_(at::Tensor & self, double mean=0, double std=1, c10::optional generator=c10::nullopt); TORCH_API at::Tensor & _index_copy_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source); TORCH_API at::Tensor & _amp_update_scale_(at::Tensor & self, at::Tensor & growth_tracker, const at::Tensor & found_inf, double scale_growth_factor, double scale_backoff_factor, int64_t growth_interval); TORCH_API at::Tensor _convert_indices_from_coo_to_csr(const at::Tensor & self, int64_t size, bool out_int32=false); TORCH_API at::Tensor & _convert_indices_from_coo_to_csr_out(at::Tensor & out, const at::Tensor & self, int64_t size, bool out_int32=false); TORCH_API at::Tensor & _convert_indices_from_coo_to_csr_outf(const at::Tensor & self, int64_t size, bool out_int32, at::Tensor & out); TORCH_API ::std::tuple nll_loss_forward(const at::Tensor & self, const at::Tensor & target, const c10::optional & weight, int64_t reduction, int64_t ignore_index); TORCH_API ::std::tuple nll_loss_forward_out(at::Tensor & output, at::Tensor & total_weight, const at::Tensor & self, const at::Tensor & target, const c10::optional & weight, int64_t reduction, int64_t ignore_index); TORCH_API ::std::tuple nll_loss_forward_outf(const at::Tensor & self, const at::Tensor & target, const c10::optional & weight, int64_t reduction, int64_t ignore_index, at::Tensor & output, at::Tensor & total_weight); TORCH_API at::Tensor nll_loss_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight); TORCH_API at::Tensor & nll_loss_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight); TORCH_API at::Tensor & nll_loss_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input); TORCH_API at::Tensor elu(const at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1); TORCH_API at::Tensor & elu_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1); TORCH_API at::Tensor & elu_outf(const at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, at::Tensor & out); TORCH_API at::Tensor & elu_(at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1); TORCH_API at::Tensor elu_backward(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); TORCH_API at::Tensor & elu_backward_out(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); TORCH_API at::Tensor & elu_backward_outf(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); TORCH_API at::Tensor glu(const at::Tensor & self, int64_t dim=-1); TORCH_API at::Tensor & glu_out(at::Tensor & out, const at::Tensor & self, int64_t dim=-1); TORCH_API at::Tensor & glu_outf(const at::Tensor & self, int64_t dim, at::Tensor & out); TORCH_API at::Tensor hardsigmoid(const at::Tensor & self); TORCH_API at::Tensor & hardsigmoid_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & hardsigmoid_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & hardsigmoid_(at::Tensor & self); TORCH_API at::Tensor hardsigmoid_backward(const at::Tensor & grad_output, const at::Tensor & self); TORCH_API at::Tensor & hardsigmoid_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self); TORCH_API at::Tensor & hardsigmoid_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input); TORCH_API at::Tensor & hardtanh_(at::Tensor & self, const at::Scalar & min_val=-1, const at::Scalar & max_val=1); TORCH_API at::Tensor & hardswish_(at::Tensor & self); TORCH_API at::Tensor leaky_relu(const at::Tensor & self, const at::Scalar & negative_slope=0.01); TORCH_API at::Tensor & leaky_relu_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & negative_slope=0.01); TORCH_API at::Tensor & leaky_relu_outf(const at::Tensor & self, const at::Scalar & negative_slope, at::Tensor & out); TORCH_API at::Tensor & leaky_relu_(at::Tensor & self, const at::Scalar & negative_slope=0.01); TORCH_API at::Tensor leaky_relu_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result); TORCH_API at::Tensor & leaky_relu_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result); TORCH_API at::Tensor & leaky_relu_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result, at::Tensor & grad_input); TORCH_API at::Tensor & rrelu_with_noise_(at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional generator=c10::nullopt); TORCH_API at::Tensor softplus(const at::Tensor & self, const at::Scalar & beta=1, const at::Scalar & threshold=20); TORCH_API at::Tensor & softplus_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & beta=1, const at::Scalar & threshold=20); TORCH_API at::Tensor & softplus_outf(const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, at::Tensor & out); TORCH_API at::Tensor softplus_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, const at::Tensor & output); TORCH_API at::Tensor & softplus_backward_out(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); TORCH_API at::Tensor & softplus_backward_outf(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); TORCH_API at::Tensor softshrink(const at::Tensor & self, const at::Scalar & lambd=0.5); TORCH_API at::Tensor & softshrink_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & lambd=0.5); TORCH_API at::Tensor & softshrink_outf(const at::Tensor & self, const at::Scalar & lambd, at::Tensor & out); TORCH_API at::Tensor softshrink_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd); TORCH_API at::Tensor & softshrink_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd); TORCH_API at::Tensor & softshrink_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & grad_input); TORCH_API ::std::tuple adaptive_max_pool2d(const at::Tensor & self, at::IntArrayRef output_size); TORCH_API ::std::tuple adaptive_max_pool2d_out(at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef output_size); TORCH_API ::std::tuple adaptive_max_pool2d_outf(const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out, at::Tensor & indices); TORCH_API at::Tensor adaptive_max_pool2d_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices); TORCH_API at::Tensor & adaptive_max_pool2d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices); TORCH_API at::Tensor & adaptive_max_pool2d_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::Tensor & grad_input); TORCH_API ::std::tuple adaptive_max_pool3d(const at::Tensor & self, at::IntArrayRef output_size); TORCH_API ::std::tuple adaptive_max_pool3d_out(at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef output_size); TORCH_API ::std::tuple adaptive_max_pool3d_outf(const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out, at::Tensor & indices); TORCH_API at::Tensor adaptive_max_pool3d_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices); TORCH_API at::Tensor & adaptive_max_pool3d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices); TORCH_API at::Tensor & adaptive_max_pool3d_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::Tensor & grad_input); TORCH_API at::Tensor avg_pool2d(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 divisor_override=c10::nullopt); TORCH_API at::Tensor & avg_pool2d_out(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 divisor_override=c10::nullopt); TORCH_API at::Tensor & avg_pool2d_outf(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional divisor_override, at::Tensor & out); TORCH_API at::Tensor avg_pool2d_backward(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 divisor_override); TORCH_API at::Tensor & avg_pool2d_backward_out(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 divisor_override); TORCH_API at::Tensor & avg_pool2d_backward_outf(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 divisor_override, at::Tensor & grad_input); TORCH_API at::Tensor avg_pool3d(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 divisor_override=c10::nullopt); TORCH_API at::Tensor & avg_pool3d_out(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 divisor_override=c10::nullopt); TORCH_API at::Tensor & avg_pool3d_outf(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional divisor_override, at::Tensor & out); TORCH_API at::Tensor avg_pool3d_backward(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 divisor_override); TORCH_API at::Tensor & avg_pool3d_backward_out(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 divisor_override); TORCH_API at::Tensor & avg_pool3d_backward_outf(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 divisor_override, at::Tensor & grad_input); TORCH_API ::std::tuple fractional_max_pool2d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples); TORCH_API ::std::tuple fractional_max_pool2d_out(at::Tensor & output, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples); TORCH_API ::std::tuple fractional_max_pool2d_outf(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples, at::Tensor & output, at::Tensor & indices); TORCH_API ::std::tuple max_pool2d_with_indices(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false); TORCH_API ::std::tuple max_pool2d_with_indices_out(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); TORCH_API ::std::tuple max_pool2d_with_indices_outf(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); TORCH_API at::Tensor max_pool2d_with_indices_backward(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); TORCH_API at::Tensor & max_pool2d_with_indices_backward_out(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); TORCH_API at::Tensor & max_pool2d_with_indices_backward_outf(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); TORCH_API at::Tensor reflection_pad1d(const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad1d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad1d_outf(const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out); TORCH_API at::Tensor reflection_pad1d_backward(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad1d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad1d_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input); TORCH_API at::Tensor reflection_pad3d(const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad3d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad3d_outf(const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out); TORCH_API at::Tensor reflection_pad3d_backward(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad3d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & reflection_pad3d_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input); TORCH_API at::Tensor replication_pad1d(const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad1d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad1d_outf(const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out); TORCH_API at::Tensor replication_pad1d_backward(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad1d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad1d_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input); TORCH_API at::Tensor replication_pad2d(const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad2d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad2d_outf(const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out); TORCH_API at::Tensor replication_pad3d(const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad3d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding); TORCH_API at::Tensor & replication_pad3d_outf(const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out); TORCH_API at::Tensor upsample_linear1d(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_linear1d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_linear1d_outf(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales, at::Tensor & out); TORCH_API at::Tensor upsample_linear1d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_linear1d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_linear1d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales, at::Tensor & grad_input); TORCH_API at::Tensor upsample_bilinear2d(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bilinear2d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bilinear2d_outf(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_h, c10::optional scales_w, at::Tensor & out); TORCH_API at::Tensor upsample_bilinear2d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bilinear2d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bilinear2d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_h, c10::optional scales_w, at::Tensor & grad_input); TORCH_API at::Tensor upsample_bicubic2d(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bicubic2d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bicubic2d_outf(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_h, c10::optional scales_w, at::Tensor & out); TORCH_API at::Tensor upsample_bicubic2d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bicubic2d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_bicubic2d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_h, c10::optional scales_w, at::Tensor & grad_input); TORCH_API at::Tensor upsample_trilinear3d(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_trilinear3d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_trilinear3d_outf(const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional scales_d, c10::optional scales_h, c10::optional scales_w, at::Tensor & out); TORCH_API at::Tensor upsample_trilinear3d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_trilinear3d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_trilinear3d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional scales_d, c10::optional scales_h, c10::optional scales_w, at::Tensor & grad_input); TORCH_API at::Tensor upsample_nearest1d(const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_nearest1d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_nearest1d_outf(const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales, at::Tensor & out); TORCH_API at::Tensor upsample_nearest1d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_nearest1d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales=c10::nullopt); TORCH_API at::Tensor & upsample_nearest1d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales, at::Tensor & grad_input); TORCH_API at::Tensor upsample_nearest2d(const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest2d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest2d_outf(const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales_h, c10::optional scales_w, at::Tensor & out); TORCH_API at::Tensor upsample_nearest2d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest2d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest2d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales_h, c10::optional scales_w, at::Tensor & grad_input); TORCH_API at::Tensor upsample_nearest3d(const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest3d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest3d_outf(const at::Tensor & self, at::IntArrayRef output_size, c10::optional scales_d, c10::optional scales_h, c10::optional scales_w, at::Tensor & out); TORCH_API at::Tensor upsample_nearest3d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest3d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales_d=c10::nullopt, c10::optional scales_h=c10::nullopt, c10::optional scales_w=c10::nullopt); TORCH_API at::Tensor & upsample_nearest3d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional scales_d, c10::optional scales_h, c10::optional scales_w, at::Tensor & grad_input); TORCH_API at::Tensor sigmoid_backward(const at::Tensor & grad_output, const at::Tensor & output); TORCH_API at::Tensor & sigmoid_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output); TORCH_API at::Tensor & sigmoid_backward_outf(const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input); TORCH_API at::Tensor logit_backward(const at::Tensor & grad_output, const at::Tensor & self, c10::optional eps=c10::nullopt); TORCH_API at::Tensor & logit_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::optional eps=c10::nullopt); TORCH_API at::Tensor & logit_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, c10::optional eps, at::Tensor & grad_input); TORCH_API at::Tensor tanh_backward(const at::Tensor & grad_output, const at::Tensor & output); TORCH_API at::Tensor & tanh_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output); TORCH_API at::Tensor & tanh_backward_outf(const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input); TORCH_API at::Tensor slow_conv_transpose2d(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1); TORCH_API at::Tensor & slow_conv_transpose2d_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1); TORCH_API at::Tensor & slow_conv_transpose2d_outf(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, at::Tensor & out); TORCH_API at::Tensor isposinf(const at::Tensor & self); TORCH_API at::Tensor & isposinf_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & isposinf_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor isneginf(const at::Tensor & self); TORCH_API at::Tensor & isneginf_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & isneginf_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor special_entr(const at::Tensor & self); TORCH_API at::Tensor & special_entr_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & special_entr_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor special_ndtri(const at::Tensor & self); TORCH_API at::Tensor & special_ndtri_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & special_ndtri_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor special_erfcx(const at::Tensor & self); TORCH_API at::Tensor & special_erfcx_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & special_erfcx_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor special_xlog1py(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & special_xlog1py_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & special_xlog1py_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor special_zeta(const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & special_zeta_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); TORCH_API at::Tensor & special_zeta_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); TORCH_API at::Tensor special_i0e(const at::Tensor & self); TORCH_API at::Tensor & special_i0e_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & special_i0e_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor special_i1(const at::Tensor & self); TORCH_API at::Tensor & special_i1_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & special_i1_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor special_i1e(const at::Tensor & self); TORCH_API at::Tensor & special_i1e_out(at::Tensor & out, const at::Tensor & self); TORCH_API at::Tensor & special_i1e_outf(const at::Tensor & self, at::Tensor & out); TORCH_API at::Tensor & _linalg_inv_out_helper_(at::Tensor & self, at::Tensor & infos_lu, at::Tensor & infos_getri); } // namespace meta } // namespace at