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neilisaac / torch   python

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Version: 1.8.0 

/ include / caffe2 / operators / elementwise_ops_utils.h

#ifndef CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_

#include <tuple>
#include <vector>

#include "caffe2/core/context.h"
#include "caffe2/core/tensor.h"

namespace caffe2 {
namespace elementwise_ops_utils {

TORCH_API std::tuple<size_t, size_t, size_t>
ComputeLegacyBroadcastSizes(const Tensor& A, const Tensor& B, int axis);

TORCH_API std::vector<int> ComputeBinaryBroadcastForwardDims(
    const std::vector<int>& A_dims,
    const std::vector<int>& B_dims);

TORCH_API void ComputeBinaryBroadcastBackwardAxes(
    const std::vector<int>& A_dims,
    const std::vector<int>& B_dims,
    std::vector<int>* A_axes,
    std::vector<int>* B_axes);

TORCH_API void ComputeBinaryBroadcastBackwardDims(
    const std::vector<int>& A_dims,
    const std::vector<int>& B_dims,
    std::vector<int>* A_back_dims,
    std::vector<int>* B_back_dims);

} // namespace elementwise_ops_utils
} // namespace caffe2

#endif // CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_