blob: 827492792979052503c68660a1fb9f6154d77257 [file] [log] [blame]
#include "caffe2/operators/leaky_relu_op.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <>
bool LeakyReluOp<float, CPUContext>::RunOnDevice() {
const auto& X = Input(0);
auto* Y = Output(0);
Y->ResizeLike(X);
ConstEigenVectorMap<float> Xvec(X.template data<float>(), X.size());
EigenVectorMap<float> Yvec(Y->template mutable_data<float>(), Y->size());
Yvec = Xvec.cwiseMax(0.f) + Xvec.cwiseMin(0.f) * alpha_;
return true;
}
template <>
bool LeakyReluGradientOp<float, CPUContext>::RunOnDevice() {
const auto& Y = Input(0);
const auto& dY = Input(1);
auto* dX = Output(0);
dX->ResizeLike(Y);
CAFFE_ENFORCE_EQ(Y.size(), dY.size());
ConstEigenVectorMap<float> Yvec(Y.template data<float>(), Y.size());
ConstEigenVectorMap<float> dYvec(dY.template data<float>(), dY.size());
EigenVectorMap<float> dXvec(dX->template mutable_data<float>(), dX->size());
Eigen::VectorXf gtZero = (Yvec.array() >= 0.0f).cast<float>();
dXvec = dYvec.array() * gtZero.array() -
dYvec.array() * (gtZero.array() - 1.0f) * alpha_;
return true;
}
REGISTER_CPU_OPERATOR(LeakyRelu, LeakyReluOp<float, CPUContext>);
REGISTER_CPU_OPERATOR(
LeakyReluGradient,
LeakyReluGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(LeakyRelu)
.NumInputs(1)
.NumOutputs(1)
.Arg("alpha", "Coefficient of leakage")
.AllowInplace({{0, 0}})
.IdenticalTypeAndShape()
.SetDoc(R"DOC(
LeakyRelu takes input data (Tensor<T>) and an argument alpha, and produces one
output data (Tensor<T>) where the function `f(x) = alpha * x for x < 0`,
`f(x) = x for x >= 0`, is applied to the data tensor elementwise.
)DOC")
.Input(0, "X", "1D input tensor")
.Output(0, "Y", "1D input tensor");
OPERATOR_SCHEMA(LeakyReluGradient)
.NumInputs(2)
.NumOutputs(1)
.AllowInplace({{1, 0}})
.Arg("alpha", "Coefficient of leakage");
class GetLeakyReluGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
return SingleGradientDef(
"LeakyReluGradient",
"",
vector<string>{O(0), GO(0)},
vector<string>{GI(0)});
}
};
REGISTER_GRADIENT(LeakyRelu, GetLeakyReluGradient);
} // namespace caffe2