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https://github.com/zebrajr/pytorch.git
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a9b0a921d5
Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
55 lines
1.3 KiB
C++
55 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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// NOLINTNEXTLINE(modernize-use-transparent-functors)
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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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