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Summary: Since caffe2 and torch have been consolidated, CAFFE2_API should be merged with TORCH_API. Addresses a TODO. Manually edited some references of the removed `CAFFE2_API`: * `CONTRIBUTING.md` * `caffe2/proto/CMakeLists.txt` * `cmake/ProtoBuf.cmake` * `c10/macros/Export.h` * `torch/csrc/WindowsTorchApiMacro.h` Pull Request resolved: https://github.com/pytorch/pytorch/pull/49496 Reviewed By: malfet, samestep Differential Revision: D25600726 Pulled By: janeyx99 fbshipit-source-id: 7e068d959e397ac183c097d7e9a9afeca5ddd782
35 lines
1,004 B
C++
35 lines
1,004 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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TORCH_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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TORCH_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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TORCH_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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TORCH_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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