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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16929 Separate CPU reduce functions from math i-am-not-moving-c2-to-c10 Reviewed By: houseroad Differential Revision: D13999469 fbshipit-source-id: bd628b15a6e3c1f04cc62aefffb0110690e1c0d1
36 lines
1008 B
C++
36 lines
1008 B
C++
#ifndef CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_
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#define CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_
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#include <tuple>
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#include <vector>
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#include "caffe2/core/context.h"
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#include "caffe2/core/tensor.h"
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namespace caffe2 {
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namespace elementwise_ops_utils {
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CAFFE2_API std::tuple<size_t, size_t, size_t>
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ComputeLegacyBroadcastSizes(const Tensor& A, const Tensor& B, int axis);
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CAFFE2_API std::vector<int> ComputeBinaryBroadcastForwardDims(
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const std::vector<int>& A_dims,
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const std::vector<int>& B_dims);
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CAFFE2_API void ComputeBinaryBroadcastBackwardAxes(
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const std::vector<int>& A_dims,
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const std::vector<int>& B_dims,
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std::vector<int>* A_axes,
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std::vector<int>* B_axes);
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CAFFE2_API void ComputeBinaryBroadcastBackwardDims(
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const std::vector<int>& A_dims,
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const std::vector<int>& B_dims,
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std::vector<int>* A_back_dims,
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std::vector<int>* B_back_dims);
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} // namespace elementwise_ops_utils
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_ELEMENTWISE_OPS_UTILS_H_
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