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bb9ff58c6d
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9379 Add cudnn activation ops Reviewed By: houseroad Differential Revision: D8818013 fbshipit-source-id: d3881c634a46578b9331da07f9fdf7e1f31d7e8a
54 lines
1.3 KiB
C++
54 lines
1.3 KiB
C++
#include "caffe2/operators/sigmoid_op.h"
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#include "caffe2/utils/eigen_utils.h"
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#include <algorithm>
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#include <functional>
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#include <string>
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#include <vector>
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namespace caffe2 {
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template <>
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template <typename T>
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bool SigmoidGradientFunctor<CPUContext>::Forward(
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const std::vector<int>& Y_dims,
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const std::vector<int>& /* dY_dims */,
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const T* Y,
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const T* dY,
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T* dX,
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CPUContext* /* context */) const {
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const int size = std::accumulate(
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Y_dims.cbegin(), Y_dims.cend(), 1, std::multiplies<int>());
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ConstEigenVectorArrayMap<T> dY_arr(dY, size);
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ConstEigenVectorArrayMap<T> Y_arr(Y, size);
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EigenVectorArrayMap<T>(dX, size) = dY_arr * Y_arr * (T(1) - Y_arr);
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return true;
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}
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REGISTER_CPU_OPERATOR(
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SigmoidGradient,
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BinaryElementwiseOp<
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TensorTypes<float>,
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CPUContext,
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SigmoidGradientFunctor<CPUContext>>);
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namespace {
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class GetSigmoidGradient : public GradientMakerBase {
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using GradientMakerBase::GradientMakerBase;
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std::vector<OperatorDef> GetGradientDefs() override {
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return SingleGradientDef(
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"SigmoidGradient",
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"",
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std::vector<std::string>{O(0), GO(0)},
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std::vector<std::string>{GI(0)});
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}
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};
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} // namespace
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REGISTER_GRADIENT(Sigmoid, GetSigmoidGradient);
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} // namespace caffe2
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