elementwise_add_kernel.cpp 1.5 KB
Newer Older
S
sharper 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.

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. */

#ifdef ELEMENTWISEADD_OP

#pragma once

#include "operators/kernel/elementwise_add_kernel.h"

namespace paddle_mobile {
namespace operators {

template <typename T>
struct AddFunctor {
  inline T operator()(T a, T b) const { return a + b; }
};

template <>
E
eclipsess 已提交
30
bool ElementwiseAddKernel<GPU_MALI, float>::Init(ElementwiseAddParam *param) {
S
sharper 已提交
31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51
  return true;
}

template <>
void ElementwiseAddKernel<GPU_MALI, float>::Compute(
    const ElementwiseAddParam &param) const {
  const Tensor *input_x = param.InputX();
  const Tensor *input_y = param.InputY();
  Tensor *Out = param.Out();
  Out->mutable_data<float>();
  int axis = param.Axis();
  ElementwiseComputeEx<AddFunctor<float>, float>(input_x, input_y, axis,
                                                 AddFunctor<float>(), Out);
}

template class ElementwiseAddKernel<GPU_MALI, float>;

}  // namespace operators
}  // namespace paddle_mobile

#endif