/* 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 {
namespace depthwise {

void conv_depthwise_3x3p0(const float* din, float* dout, int num, int ch_out,
                          int h_out, int w_out, int ch_in, int h_in, int w_in,
                          const float* weights, const float* bias, int stride,
                          bool flag_bias, bool flag_relu);

void conv_depthwise_3x3p1(const float* din, float* dout, int num, int ch_out,
                          int h_out, int w_out, int ch_in, int h_in, int w_in,
                          const float* weights, const float* bias, int stride,
                          bool flag_bias, bool flag_relu);

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