depthwise_conv5x5.h

/* 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. */

#pragma once

#include <algorithm>
#include <vector>
#include "framework/tensor.h"

namespace paddle_mobile {
namespace operators {
namespace math {

// TODO(hjchen2) need to be implemented
// template<typename Itype, typename Otype>
// void DepthwiseConv5x5(const framework::Tensor *input,
//                      const framework::Tensor *filter,
//                      const std::vector<int> &strides,
//                      const std::vector<int> &paddings,
//                      framework::Tensor *output);

template <typename Itype, typename Otype>
void DepthwiseConv5x5S1(const framework::Tensor &input,
                        const framework::Tensor &filter,
                        const std::vector<int> &paddings,
                        framework::Tensor *output);

template <typename Itype, typename Otype>
void DepthwiseConv5x5S2(const framework::Tensor &input,
                        const framework::Tensor &filter,
                        const std::vector<int> &paddings,
                        framework::Tensor *output);

}  // namespace math
}  // namespace operators
}  // namespace paddle_mobile