mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
c2402a9257
Just a change pytorch/tree/master -> pytorch/tree/main pytorch/blob/master -> pytorch/blob/main Pull Request resolved: https://github.com/pytorch/pytorch/pull/100129 Approved by: https://github.com/huydhn
76 lines
2.0 KiB
C++
76 lines
2.0 KiB
C++
#include "caffe2/operators/log1p_op.h"
|
|
#include "caffe2/utils/eigen_utils.h"
|
|
|
|
#include <algorithm>
|
|
#include <functional>
|
|
|
|
namespace caffe2 {
|
|
|
|
template <>
|
|
template <typename T>
|
|
bool Log1pGradientFunctor<CPUContext>::Forward(
|
|
const std::vector<int>& X_dims,
|
|
const std::vector<int>& /* dY_dims */,
|
|
const T* X,
|
|
const T* dY,
|
|
T* dX,
|
|
CPUContext* /* context */) const {
|
|
const int size = std::accumulate(
|
|
// NOLINTNEXTLINE(modernize-use-transparent-functors)
|
|
X_dims.cbegin(), X_dims.cend(), 1, std::multiplies<int>());
|
|
ConstEigenVectorArrayMap<T> dY_arr(dY, size);
|
|
ConstEigenVectorArrayMap<T> X_arr(X, size);
|
|
EigenVectorMap<T>(dX, size) = dY_arr / (T(1) + X_arr);
|
|
return true;
|
|
}
|
|
|
|
REGISTER_CPU_OPERATOR(
|
|
Log1p,
|
|
UnaryElementwiseOp<TensorTypes<float>, CPUContext, Log1pFunctor<CPUContext>>);
|
|
REGISTER_CPU_OPERATOR(
|
|
Log1pGradient,
|
|
BinaryElementwiseOp<
|
|
TensorTypes<float>,
|
|
CPUContext,
|
|
Log1pGradientFunctor<CPUContext>>);
|
|
|
|
OPERATOR_SCHEMA(Log1p)
|
|
.NumInputs(1)
|
|
.NumOutputs(1)
|
|
.IdenticalTypeAndShape()
|
|
.SetDoc(R"DOC(
|
|
Calculates Log1p 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.
|
|
|
|
Github Link:
|
|
- https://github.com/pytorch/pytorch/blob/main/caffe2/operators/log1p_op.cc
|
|
)DOC")
|
|
.Input(0, "input", "Input data blob to be operated on.")
|
|
.Output(0, "output", "Output data blob with same shape as input")
|
|
.InheritOnnxSchema();
|
|
|
|
OPERATOR_SCHEMA(Log1pGradient)
|
|
.NumInputs(2)
|
|
.NumOutputs(1)
|
|
.IdenticalTypeAndShapeOfInput(0);
|
|
|
|
namespace {
|
|
|
|
class GetLog1pGradient : public GradientMakerBase {
|
|
using GradientMakerBase::GradientMakerBase;
|
|
std::vector<OperatorDef> GetGradientDefs() override {
|
|
return SingleGradientDef(
|
|
"Log1pGradient",
|
|
"",
|
|
std::vector<std::string>{I(0), GO(0)},
|
|
std::vector<std::string>{GI(0)});
|
|
}
|
|
};
|
|
|
|
} // namespace
|
|
|
|
REGISTER_GRADIENT(Log1p, GetLog1pGradient);
|
|
|
|
} // namespace caffe2
|