blob: 8f65fb81dd76900bf08b6ee0de65c97d9b1e92cd [file] [log] [blame]
#include "caffe2/operators/cos_op.h"
#include <algorithm>
#include <functional>
namespace caffe2 {
template <>
template <typename T>
bool CosGradientFunctor<CPUContext>::Forward(
const std::vector<int>& dY_dims,
const std::vector<int>& /* X_dims */,
const T* dY,
const T* X,
T* dX,
CPUContext* /* context */) const {
const int size = std::accumulate(
dY_dims.cbegin(), dY_dims.cend(), 1, std::multiplies<int>());
ConstEigenVectorArrayMap<T> dY_arr(dY, size);
ConstEigenVectorArrayMap<T> X_arr(X, size);
EigenVectorMap<T>(dX, size) = -dY_arr * X_arr.sin();
return true;
}
REGISTER_CPU_OPERATOR(
Cos,
UnaryElementwiseOp<TensorTypes<float>, CPUContext, CosFunctor<CPUContext>>);
REGISTER_CPU_OPERATOR(
CosGradient,
BinaryElementwiseOp<
TensorTypes<float>,
CPUContext,
CosGradientFunctor<CPUContext>>);
OPERATOR_SCHEMA(Cos)
.NumInputs(1)
.NumOutputs(1)
.IdenticalTypeAndShape()
.SetDoc(R"DOC(
Calculates the cosine of the given input tensor, element-wise.
)DOC")
.Input(0, "input", "Input tensor")
.Output(
0,
"output",
"The cosine of the input tensor computed element-wise");
OPERATOR_SCHEMA(CosGradient).NumInputs(2).NumOutputs(1).IdenticalTypeAndShape();
namespace {
class GetCosGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
std::vector<OperatorDef> GetGradientDefs() override {
return SingleGradientDef(
"CosGradient",
"",
std::vector<std::string>{GO(0), I(0)},
std::vector<std::string>{GI(0)});
}
};
} // namespace
REGISTER_GRADIENT(Cos, GetCosGradient);
} // namespace caffe2