FM / operators

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators

Name	Size	Mode	Actions
abs_op.h	705	0644	edit dl rm
accumulate_op.h	1073	0644	edit dl rm
accuracy_op.h	652	0644	edit dl rm
acos_op.h	711	0644	edit dl rm
activation_ops_cudnn.h	4122	0644	edit dl rm
affine_channel_op.h	3450	0644	edit dl rm
alias_with_name.h	1234	0644	edit dl rm
apmeter_op.h	1027	0644	edit dl rm
arg_ops.h	2319	0644	edit dl rm
asin_op.h	711	0644	edit dl rm
assert_op.h	1335	0644	edit dl rm
async_net_barrier_op.h	904	0644	edit dl rm
atan_op.h	711	0644	edit dl rm
batch_box_cox_op.h	2287	0644	edit dl rm
batch_bucketize_op.h	720	0644	edit dl rm
batch_gather_ops.h	5264	0644	edit dl rm
batch_matmul_op.h	9602	0644	edit dl rm
batch_moments_op.h	3364	0644	edit dl rm
batch_permutation_op.h	954	0644	edit dl rm
batch_sparse_to_dense_op.h	6147	0644	edit dl rm
bbox_transform_op.h	2668	0644	edit dl rm
bisect_percentile_op.h	4921	0644	edit dl rm
boolean_mask_ops.h	2665	0644	edit dl rm
boolean_unmask_ops.h	378	0644	edit dl rm
box_with_nms_limit_op.h	4960	0644	edit dl rm
bucketize_op.h	1361	0644	edit dl rm
byte_weight_dequant_op.h	1722	0644	edit dl rm
cast_op.h	1393	0644	edit dl rm
cbrt_op.h	723	0644	edit dl rm
cc_bmm_bg_op.h	3894	0644	edit dl rm
ceil_op.h	782	0644	edit dl rm
channel_backprop_stats_op.h	737	0644	edit dl rm
channel_shuffle_op.h	1902	0644	edit dl rm
channel_stats_op.h	1807	0644	edit dl rm
clip_op.h	1639	0644	edit dl rm
collect_and_distribute_fpn_rpn_proposals_op.h	6875	0644	edit dl rm
concat_split_op.h	11850	0644	edit dl rm
conditional_op.h	487	0644	edit dl rm
conv_op.h	3125	0644	edit dl rm
conv_op_cache_cudnn.h	1935	0644	edit dl rm
conv_op_impl.h	28729	0644	edit dl rm
conv_op_shared.h	672	0644	edit dl rm
conv_pool_op_base.h	32109	0644	edit dl rm
conv_transpose_op.h	1727	0644	edit dl rm
conv_transpose_op_impl.h	18264	0644	edit dl rm
conv_transpose_op_mobile.h	1470	0644	edit dl rm
conv_transpose_op_mobile_impl.h	19587	0644	edit dl rm
conv_transpose_unpool_op_base.h	10303	0644	edit dl rm
copy_op.h	1296	0644	edit dl rm
copy_rows_to_tensor_op.h	2599	0644	edit dl rm
cosh_op.h	711	0644	edit dl rm
cosine_embedding_criterion_op.h	1127	0644	edit dl rm
cos_op.h	705	0644	edit dl rm
counter_ops.h	4596	0644	edit dl rm
create_scope_op.h	5232	0644	edit dl rm
cross_entropy_op.h	4420	0644	edit dl rm
ctc_beam_search_decoder_op.h	1102	0644	edit dl rm
ctc_greedy_decoder_op.h	817	0644	edit dl rm
cube_op.h	723	0644	edit dl rm
dataset_ops.h	5501	0644	edit dl rm
data_couple.h	464	0644	edit dl rm
deform_conv_op.h	3543	0644	edit dl rm
deform_conv_op_impl.h	13171	0644	edit dl rm
dense_vector_to_id_list_op.h	1797	0644	edit dl rm
distance_op.h	8419	0644	edit dl rm
do_op.h	6981	0644	edit dl rm
dropout_op.h	1516	0644	edit dl rm
elementwise_add_op.h	2024	0644	edit dl rm
elementwise_div_op.h	1224	0644	edit dl rm
elementwise_linear_op.h	1170	0644	edit dl rm
elementwise_logical_ops.h	5083	0644	edit dl rm
elementwise_mul_op.h	1224	0644	edit dl rm
elementwise_ops.h	19115	0644	edit dl rm
elementwise_ops_utils.h	1008	0644	edit dl rm
elementwise_op_test.h	9237	0644	edit dl rm
elementwise_sub_op.h	2025	0644	edit dl rm
elu_op.h	875	0644	edit dl rm
enforce_finite_op.h	2303	0644	edit dl rm
ensure_clipped_op.h	1608	0644	edit dl rm
ensure_cpu_output_op.h	1465	0644	edit dl rm
erf_op.h	751	0644	edit dl rm
expand_op.h	3877	0644	edit dl rm
expand_squeeze_dims_op.h	3451	0644	edit dl rm
exp_op.h	425	0644	edit dl rm
fc_inference.h	775	0644	edit dl rm
feature_maps_ops.h	32437	0644	edit dl rm
feed_blob_op.h	802	0644	edit dl rm
filler_op.h	18431	0644	edit dl rm
find_duplicate_elements_op.h	1563	0644	edit dl rm
find_op.h	2055	0644	edit dl rm
flatten_op.h	1525	0644	edit dl rm
flexible_top_k.h	936	0644	edit dl rm
floor_op.h	788	0644	edit dl rm
free_op.h	777	0644	edit dl rm
fully_connected_op.h	9351	0644	edit dl rm
fused_rowwise_8bit_conversion_ops.h	6601	0644	edit dl rm
fused_rowwise_nbitfake_conversion_ops.h	4375	0644	edit dl rm
fused_rowwise_nbit_conversion_ops.h	8723	0644	edit dl rm
fused_rowwise_random_quantization_ops.h	2607	0644	edit dl rm
gather_fused_8bit_rowwise_op.h	2179	0644	edit dl rm
gather_op.h	7505	0644	edit dl rm
gather_ranges_to_dense_op.h	8188	0644	edit dl rm
gelu_op.h	1452	0644	edit dl rm
generate_proposals_op.h	6256	0644	edit dl rm
generate_proposals_op_util_boxes.h	14309	0644	edit dl rm
generate_proposals_op_util_nms.h	26214	0644	edit dl rm
generate_proposals_op_util_nms_gpu.h	2128	0644	edit dl rm
given_tensor_byte_string_to_uint8_fill_op.h	2150	0644	edit dl rm
given_tensor_fill_op.h	3002	0644	edit dl rm
glu_op.h	1458	0644	edit dl rm
group_norm_op.h	8967	0644	edit dl rm
gru_unit_op.h	6626	0644	edit dl rm
half_float_ops.h	2732	0644	edit dl rm
hard_sigmoid_op.h	994	0644	edit dl rm
heatmap_max_keypoint_op.h	939	0644	edit dl rm
histogram_op.h	2421	0644	edit dl rm
h_softmax_op.h	4954	0644	edit dl rm
if_op.h	1764	0644	edit dl rm
im2col_op.h	8943	0644	edit dl rm
index_hash_ops.h	2232	0644	edit dl rm
index_ops.h	3155	0644	edit dl rm
inference_lstm_op.h	9881	0644	edit dl rm
instance_norm_op.h	7441	0644	edit dl rm
integral_image_op.h	923	0644	edit dl rm
is_empty_op.h	558	0644	edit dl rm
jsd_op.h	721	0644	edit dl rm
key_split_ops.h	1400	0644	edit dl rm
layer_norm_op.h	8098	0644	edit dl rm
leaky_relu_op.h	1111	0644	edit dl rm
lengths_pad_op.h	2574	0644	edit dl rm
lengths_reducer_fused_8bit_rowwise_ops.h	5532	0644	edit dl rm
lengths_reducer_fused_nbit_rowwise_ops.h	23465	0644	edit dl rm
lengths_reducer_ops.h	23315	0644	edit dl rm
lengths_reducer_rowwise_8bit_ops.h	6180	0644	edit dl rm
lengths_tile_op.h	582	0644	edit dl rm
lengths_top_k_op.h	1358	0644	edit dl rm
length_split_op.h	2259	0644	edit dl rm
listwise_l2r_op.h	1677	0644	edit dl rm
load_save_op.h	14091	0644	edit dl rm
load_save_op_util.h	1642	0644	edit dl rm
locally_connected_op.h	3872	0644	edit dl rm
locally_connected_op_impl.h	26495	0644	edit dl rm
locally_connected_op_util.h	1332	0644	edit dl rm
local_response_normalization_op.h	2804	0644	edit dl rm
log1p_op.h	717	0644	edit dl rm
logit_op.h	1129	0644	edit dl rm
log_op.h	431	0644	edit dl rm
loss_op.h	1058	0644	edit dl rm
lpnorm_op.h	1279	0644	edit dl rm
lstm_unit_op.h	6733	0644	edit dl rm
lstm_utils.h	9424	0644	edit dl rm
map_ops.h	8011	0644	edit dl rm
margin_ranking_criterion_op.h	1113	0644	edit dl rm
matmul_op.h	2843	0644	edit dl rm
max_pool_with_index_gpu.h	1155	0644	edit dl rm
mean_op.h	3252	0644	edit dl rm
merge_id_lists_op.h	2570	0644	edit dl rm
minmax_ops.h	3829	0644	edit dl rm
mish_op.h	794	0644	edit dl rm
mod_op.h	984	0644	edit dl rm
moments_op.h	4051	0644	edit dl rm
multi_class_accuracy_op.h	539	0644	edit dl rm
negate_gradient_op.h	566	0644	edit dl rm
negative_op.h	451	0644	edit dl rm
ngram_ops.h	2644	0644	edit dl rm
normalize_l1_op.h	1075	0644	edit dl rm
normalize_op.h	3013	0644	edit dl rm
no_default_engine_op.h	1063	0644	edit dl rm
numpy_tile_op.h	3643	0644	edit dl rm
one_hot_ops.h	2562	0644	edit dl rm
onnx_while_op.h	10655	0644	edit dl rm
operator_fallback_gpu.h	4155	0644	edit dl rm
op_utils_cudnn.h	2112	0644	edit dl rm
order_switch_ops.h	2149	0644	edit dl rm
pack_rnn_sequence_op.h	3074	0644	edit dl rm
pack_segments.h	2729	0644	edit dl rm
pad_op.h	2902	0644	edit dl rm
partition_ops.h	9958	0644	edit dl rm
percentile_op.h	1009	0644	edit dl rm
perplexity_op.h	447	0644	edit dl rm
piecewise_linear_transform_op.h	8281	0644	edit dl rm
pool_op.h	8525	0644	edit dl rm
pool_op_util.h	1105	0644	edit dl rm
pow_op.h	4677	0644	edit dl rm
prefetch_op.h	4661	0644	edit dl rm
prelu_op.h	1067	0644	edit dl rm
prepend_dim_op.h	2760	0644	edit dl rm
quantile_op.h	4120	0644	edit dl rm
quant_decode_op.h	5370	0644	edit dl rm
rank_loss_op.h	820	0644	edit dl rm
reciprocal_op.h	721	0644	edit dl rm
reducer_functors.h	24556	0644	edit dl rm
reduce_front_back_max_ops.h	4399	0644	edit dl rm
reduce_front_back_sum_mean_ops.h	5337	0644	edit dl rm
reduce_ops.h	9962	0644	edit dl rm
reduction_ops.h	5944	0644	edit dl rm
relu_n_op.h	990	0644	edit dl rm
relu_op.h	624	0644	edit dl rm
remove_data_blocks_op.h	2651	0644	edit dl rm
replace_nan_op.h	1170	0644	edit dl rm
reshape_op.h	5723	0644	edit dl rm
resize_3d_op.h	2677	0644	edit dl rm
resize_op.h	2307	0644	edit dl rm
reverse_packed_segs_op.h	2772	0644	edit dl rm
rmac_regions_op.h	708	0644	edit dl rm
rms_norm_op.h	2968	0644	edit dl rm
roi_align_gradient_op.h	1486	0644	edit dl rm
roi_align_op.h	2857	0644	edit dl rm
roi_align_rotated_gradient_op.h	1369	0644	edit dl rm
roi_align_rotated_op.h	1636	0644	edit dl rm
roi_pool_op.h	2503	0644	edit dl rm
rowmul_op.h	1947	0644	edit dl rm
rsqrt_op.h	729	0644	edit dl rm
scale_blobs_op.h	1458	0644	edit dl rm
scale_op.h	1019	0644	edit dl rm
segment_reduction_op.h	71022	0644	edit dl rm
self_binning_histogram_op.h	6258	0644	edit dl rm
selu_op.h	1545	0644	edit dl rm
sequence_ops.h	8264	0644	edit dl rm
shape_op.h	1638	0644	edit dl rm
sigmoid_op.h	639	0644	edit dl rm
sinh_op.h	711	0644	edit dl rm
sinusoid_position_encoding_op.h	2834	0644	edit dl rm
sin_op.h	705	0644	edit dl rm
slice_op.h	10071	0644	edit dl rm
softmax_op.h	1174	0644	edit dl rm
softmax_utils.h	447	0644	edit dl rm
softmax_with_loss_op.h	2883	0644	edit dl rm
softplus_op.h	781	0644	edit dl rm
softsign_op.h	675	0644	edit dl rm
space_batch_op.h	6848	0644	edit dl rm
sparse_dropout_with_replacement_op.h	1122	0644	edit dl rm
sparse_itemwise_dropout_with_replacement_op.h	1163	0644	edit dl rm
sparse_lp_regularizer_op.h	1130	0644	edit dl rm
sparse_normalize_op.h	834	0644	edit dl rm
sparse_to_dense_mask_op.h	10051	0644	edit dl rm
sparse_to_dense_op.h	3977	0644	edit dl rm
spatial_batch_norm_op.h	15175	0644	edit dl rm
spatial_softmax_with_loss_op.h	2182	0644	edit dl rm
sqrt_op.h	448	0644	edit dl rm
sqr_op.h	431	0644	edit dl rm
square_root_divide_op.h	1857	0644	edit dl rm
stats_put_ops.h	2813	0644	edit dl rm
stop_gradient.h	548	0644	edit dl rm
string_ops.h	2067	0644	edit dl rm
stump_func_op.h	2112	0644	edit dl rm
summarize_op.h	1875	0644	edit dl rm
swish_op.h	772	0644	edit dl rm
tanh_op.h	723	0644	edit dl rm
tan_op.h	705	0644	edit dl rm
tensor_protos_db_input.h	3633	0644	edit dl rm
text_file_reader_utils.h	2900	0644	edit dl rm
thresholded_relu_op.h	1137	0644	edit dl rm
tile_op.h	8741	0644	edit dl rm
top_k.h	1061	0644	edit dl rm
transpose_op.h	2082	0644	edit dl rm
tt_linear_op.h	6501	0644	edit dl rm
unique_ops.h	1666	0644	edit dl rm
unsafe_coalesce.h	2481	0644	edit dl rm
upsample_op.h	2246	0644	edit dl rm
utility_ops.h	49994	0644	edit dl rm
variable_length_sequence_padding.h	1378	0644	edit dl rm
weighted_multi_sampling_op.h	602	0644	edit dl rm
weighted_sample_op.h	739	0644	edit dl rm
while_op.h	1961	0644	edit dl rm
zero_gradient_op.h	347	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/distance_op.h (8419B)

#ifndef CAFFE2_OPERATORS_DISTANCE_OP_H_
#define CAFFE2_OPERATORS_DISTANCE_OP_H_

#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"

namespace caffe2 {

template <typename T, class Context>
class SquaredL2DistanceOp : public Operator<Context> {
 public:
  template <class... Args>
  explicit SquaredL2DistanceOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  // Input: X, Y; Output: Distance
};

template <typename T, class Context>
class SquaredL2DistanceGradientOp final : public Operator<Context> {
 public:
  template <class... Args>
  explicit SquaredL2DistanceGradientOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override {
    auto& X = Input(0);
    auto& Y = Input(1);
    auto& dDistance = Input(2);

int N = X.dim() > 0 ? X.dim32(0) : 1;
    int D = N > 0 ? X.numel() / N : 0;
    CAFFE_ENFORCE(X.dim() == Y.dim());
    for (int i = 0; i < X.dim(); ++i) {
      CAFFE_ENFORCE(X.dim32(i) == Y.dim32(i));
    }
    CAFFE_ENFORCE(dDistance.dim() == 1);
    CAFFE_ENFORCE(dDistance.dim32(0) == N);
    auto* dX = Output(0, X.sizes(), at::dtype<T>());
    auto* dY = Output(1, Y.sizes(), at::dtype<T>());
    math::Sub<T, Context>(
        X.numel(),
        X.template data<T>(),
        Y.template data<T>(),
        dX->template mutable_data<T>(),
        &context_);
    for (int i = 0; i < N; ++i) {
      math::Scale<T, T, Context>(
          D,
          dDistance.template data<T>() + i,
          dX->template data<T>() + i * D,
          dX->template mutable_data<T>() + i * D,
          &context_);
    }
    // The gradient of the other side is basically the negative.
    math::Scale<T, T, Context>(
        X.numel(),
        -1,
        dX->template data<T>(),
        dY->template mutable_data<T>(),
        &context_);
    return true;
  }

protected:
  // Input: X, Y, dDistance; Output: dX, dY
};

template <typename T, class Context>
class L1DistanceOp : public Operator<Context> {
 public:
  template <class... Args>
  explicit L1DistanceOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  // Input: X, Y; Output: Distance
};

template <typename T, class Context>
class L1DistanceGradientOp : public Operator<Context> {
 public:
  template <class... Args>
  explicit L1DistanceGradientOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  // Input: X, Y, dDistance; Output: dX, dY
};

template <typename T, class Context>
class DotProductOp : public Operator<Context> {
 public:
  template <class... Args>
  explicit DotProductOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  INPUT_TAGS(X_IN, Y_IN);
  OUTPUT_TAGS(DOT_OUT);
};

template <typename T, class Context>
class DotProductGradientOp final : public Operator<Context> {
 public:
  template <class... Args>
  explicit DotProductGradientOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  INPUT_TAGS(X_IN, Y_IN, DER_DOT_IN);
  OUTPUT_TAGS(DER_X_OUT, DER_Y_OUT);
};

template <typename T, class Context>
class DotProductWithPaddingOp : public Operator<Context> {
 public:
  template <class... Args>
  explicit DotProductWithPaddingOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...),
        pad_value_(this->template GetSingleArgument<float>("pad_value", 0.0)),
        replicate_(this->template GetSingleArgument<bool>("replicate", false)) {
  }
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  float pad_value_;
  bool replicate_;
  INPUT_TAGS(X_IN, Y_IN);
  OUTPUT_TAGS(DOT_OUT);
};

template <typename T, class Context>
class CosineSimilarityOp : public Operator<Context> {
 public:
  template <class... Args>
  explicit CosineSimilarityOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  INPUT_TAGS(X_IN, Y_IN);
  OUTPUT_TAGS(COS_OUT);

private:
  Tensor aux_;
};

template <typename T, class Context>
class CosineSimilarityGradientOp final : public Operator<Context> {
 public:
  template <class... Args>
  explicit CosineSimilarityGradientOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override;

protected:
  INPUT_TAGS(X_IN, Y_IN, DER_COS_IN);
  OUTPUT_TAGS(DER_X_OUT, DER_Y_OUT);

private:
  Tensor aux_;
};

template <typename T, class Context>
class DotProductWithPaddingGradientOp final : public Operator<Context> {
 public:
  template <class... Args>
  explicit DotProductWithPaddingGradientOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...),
        pad_value_(this->template GetSingleArgument<float>("pad_value", 0.0)),
        replicate_(this->template GetSingleArgument<bool>("replicate", false)) {
  }
  USE_OPERATOR_CONTEXT_FUNCTIONS;

bool RunOnDevice() override {
    auto& X = Input(X_IN);
    auto& Y = Input(Y_IN);
    auto& dDot = Input(DER_DOT_IN);

int N, D, DX, DY, restD;
    if (X.numel() > 0) {
      N = X.dim() > 0 ? X.dim32(0) : 1;
      DX = X.numel() / N;
      DY = Y.numel() / N;
    } else {
      N = 0;
      DX = 0;
      DY = 0;
    }
    CAFFE_ENFORCE(!replicate_ || DX % DY == 0 || DY % DX == 0);
    D = std::min(DX, DY);
    restD = std::max(DX, DY) - D;
    CAFFE_ENFORCE_EQ(X.dim(), Y.dim());
    CAFFE_ENFORCE_EQ(X.dim32(0), Y.dim32(0));
    CAFFE_ENFORCE_EQ(dDot.dim(), 1);
    CAFFE_ENFORCE_EQ(dDot.dim32(0), N);
    auto* dX = Output(DER_X_OUT, X.sizes(), at::dtype<T>());
    auto* dY = Output(DER_Y_OUT, Y.sizes(), at::dtype<T>());

const auto* X_data = X.template data<T>();
    const auto* Y_data = Y.template data<T>();
    const auto* dDot_data = dDot.template data<T>();
    auto* dX_data = dX->template mutable_data<T>();
    auto* dY_data = dY->template mutable_data<T>();
    for (int i = 0; i < N; ++i) { // TODO: multithreading
      auto offsetX = i * DX;
      auto offsetY = i * DY;
      if (replicate_) {
        // L_ for longer vector and S_ for shorter vector
        const T *L_data, *S_data;
        T *dL_data, *dS_data;
        int DL, DS;
        if (DX > DY) {
          L_data = X_data + offsetX;
          S_data = Y_data + offsetY;
          dL_data = dX_data + offsetX;
          dS_data = dY_data + offsetY;
          DL = DX;
          DS = DY;
        } else {
          L_data = Y_data + offsetY;
          S_data = X_data + offsetX;
          dL_data = dY_data + offsetY;
          dS_data = dX_data + offsetX;
          DL = DY;
          DS = DX;
        }

// TODO: get rid of temp memory use
        std::vector<T> tmp_data(DS);
        math::Set<T, Context>(DS, 0.0, dS_data, &context_);
        for (int j = 0; j < DL / DS; j++) {
          math::Scale<T, T, Context>(
              DS, dDot_data[i], S_data, dL_data + j * DS, &context_);
          math::Scale<T, T, Context>(
              DS, dDot_data[i], L_data + j * DS, tmp_data.data(), &context_);
          math::Axpy<float, T, Context>(
              DS, 1.0, tmp_data.data(), dS_data, &context_);
        }
      } else {
        math::Scale<T, T, Context>(
            D, dDot_data[i], X_data + offsetX, dY_data + offsetY, &context_);
        math::Scale<T, T, Context>(
            D, dDot_data[i], Y_data + offsetY, dX_data + offsetX, &context_);
      }

if (!replicate_ && DX != DY) {
        T* rest_data;
        if (DX > DY) {
          rest_data = dX_data + offsetX + D;
        } else {
          rest_data = dY_data + offsetY + D;
        }
        auto pad_gradient = dDot_data[i] * pad_value_;
        math::Set<T, Context>(restD, pad_gradient, rest_data, &context_);
      }
    }

return true;
  }

protected:
  float pad_value_;
  bool replicate_;
  INPUT_TAGS(X_IN, Y_IN, DER_DOT_IN);
  OUTPUT_TAGS(DER_X_OUT, DER_Y_OUT);
};

} // namespace caffe2

#endif // CAFFE2_OPERATORS_DISTANCE_OP_H_

cmd: