blob: d02f4b6b1f684e3ef2a55baad90f01ccf3dfeb14 [file] [log] [blame]
#include "caffe2/operators/elementwise_op.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
struct ExpCPUFunctor {
template <typename T>
inline void
operator()(const int n, const T* x, T* y, CPUContext* device_context) {
math::Exp<T, CPUContext>(n, x, y, device_context);
}
};
REGISTER_CPU_OPERATOR(
Exp,
UnaryElementwiseOp<TensorTypes<float>, CPUContext, ExpCPUFunctor>);
OPERATOR_SCHEMA(Exp)
.NumInputs(1)
.NumOutputs(1)
.AllowInplace({{0, 0}})
.IdenticalTypeAndShape()
.SetDoc(R"DOC(
Calculates the exponential of the given input tensor, element-wise. This
operation can be done in an in-place fashion too, by providing the same input
and output blobs.
)DOC")
.Input(0, "input", "Input tensor")
.Output(
0,
"output",
"The exponential of the input tensor computed "
"element-wise")
.InheritOnnxSchema("Exp");
class GetExpGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
return SingleGradientDef(
"Mul",
"",
std::vector<string>{O(0), GO(0)},
std::vector<string>{GI(0)});
}
};
REGISTER_GRADIENT(Exp, GetExpGradient);
} // namespace caffe2