You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
71 lines
2.4 KiB
71 lines
2.4 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License. */
|
|
|
|
#pragma once
|
|
|
|
#include "paddle/framework/eigen.h"
|
|
#include "paddle/framework/op_registry.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
using Tensor = framework::Tensor;
|
|
|
|
template <typename T, size_t D, int MajorType = Eigen::RowMajor,
|
|
typename IndexType = Eigen::DenseIndex>
|
|
using EigenTensor = framework::EigenTensor<T, D, MajorType, IndexType>;
|
|
|
|
template <typename Place, typename T>
|
|
class ClipKernel : public framework::OpKernel {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
auto max = context.op().Attr<float>("max");
|
|
auto min = context.op().Attr<float>("min");
|
|
auto* x = context.Input<Tensor>("X");
|
|
auto* out = context.Output<Tensor>("Out");
|
|
out->mutable_data<T>(context.GetPlace());
|
|
auto x_tensor = EigenTensor<T, 2>::From(*x);
|
|
auto out_tensor = EigenTensor<T, 2>::From(*out);
|
|
auto place = context.GetEigenDevice<Place>();
|
|
out_tensor.device(place) = x_tensor.cwiseMin(max).cwiseMax(min);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
class ClipGradKernel : public framework::OpKernel {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
auto max = context.op().Attr<float>("max");
|
|
auto min = context.op().Attr<float>("min");
|
|
auto* d_out = context.Input<Tensor>(framework::GradVarName("Out"));
|
|
auto* d_x = context.Output<Tensor>(framework::GradVarName("X"));
|
|
auto* x = context.Input<Tensor>("X");
|
|
auto dims = d_x->dims();
|
|
size_t count = 1;
|
|
for (int i = 0; i < dims.size(); ++i) {
|
|
count *= dims[i];
|
|
}
|
|
|
|
auto d_x_data = d_x->mutable_data<T>(context.GetPlace());
|
|
auto d_out_data = d_out->data<T>();
|
|
auto x_data = x->data<T>();
|
|
for (int i = 0; i < count; ++i) {
|
|
d_x_data[i] = d_out_data[i] * (x_data[i] > min && x_data[i] < max);
|
|
}
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|