42 lines
1.4 KiB
42 lines
1.4 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/operators/type_alias.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
template <typename Place, typename T>
|
|
class MulKernel : public OpKernel {
|
|
public:
|
|
void Compute(const KernelContext& context) const override {
|
|
Eigen::array<Eigen::IndexPair<Eigen::DenseIndex>, 1> dim_pair = {
|
|
{Eigen::IndexPair<Eigen::DenseIndex>(1, 0)}};
|
|
|
|
auto input0 = context.Input(0)->Get<Tensor>();
|
|
auto input1 = context.Input(1)->Get<Tensor>();
|
|
auto* output = context.Output(0)->GetMutable<Tensor>();
|
|
|
|
output->mutable_data<T>(context.GetPlace());
|
|
|
|
EigenMatrix<T>::From(*output).device(*(context.GetEigenDevice<Place>())) =
|
|
EigenMatrix<T>::From(input0).contract(EigenMatrix<T>::From(input1),
|
|
dim_pair);
|
|
}
|
|
};
|
|
} // namespace operators
|
|
} // namespace paddle
|