fusion_dwconv_bn_relu_op.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. */

#ifdef FUSION_DWCONVBNRELU_OP

#pragma once

#include <string>
#include <vector>
#include "framework/operator.h"
#include "framework/program/program-optimize/fusion_op_register.h"
#include "op_param.h"
#include "operators/kernel/dwconv_bn_relu_kernel.h"

namespace paddle_mobile {
namespace operators {
using std::string;
using std::vector;
class FusionDWConvBNReluMatcher : public framework::FusionOpMatcher {
 public:
  FusionDWConvBNReluMatcher() {
    node_ = framework::Node(G_OP_TYPE_DEPTHWISE_CONV);
    node_ > std::make_shared<framework::Node>(G_OP_TYPE_BATCHNORM) >
        std::make_shared<framework::Node>(G_OP_TYPE_RELU);
  }

  void FolderNodes(
      framework::Node *node,
      std::vector<std::shared_ptr<framework::Node>> *removed_nodes) {
    node->Folder(node_.Depth(), Type(),
                 {{G_OP_TYPE_BATCHNORM,
                   {{"Scale", "Scale"},
                    {"Mean", "Mean"},
                    {"Bias", "Bias"},
                    {"Variance", "Variance"}}}},
                 removed_nodes);
  }

  std::string Type() { return G_OP_TYPE_FUSION_DWCONV_BN_RELU; }
};

template <typename DeviceType, typename T>
class FusionDWConvBNReluOp : public framework::OperatorWithKernel<
                                 DeviceType, FusionDWConvBNReluParam,
                                 operators::DWConvBNReluKernel<DeviceType, T>> {
 public:
  FusionDWConvBNReluOp(const string &type, const VariableNameMap &inputs,
                       const VariableNameMap &outputs,
                       const framework::AttributeMap &attrs,
                       std::shared_ptr<framework::Scope> scope)
      : framework::OperatorWithKernel<
            DeviceType, FusionDWConvBNReluParam,
            operators::DWConvBNReluKernel<DeviceType, T>>(type, inputs, outputs,
                                                          attrs, scope) {}

  using framework::OperatorWithKernel<
      DeviceType, FusionDWConvBNReluParam,
      operators::DWConvBNReluKernel<DeviceType, T>>::OperatorWithKernel;
  void InferShape() const override;

 protected:
};

#ifdef PADDLE_MOBILE_CPU

#ifndef FUSION_DWCONV_BN_RELU_REGISTER
static framework::FusionOpRegistrar fusion_dwconv_bn_relu_registrar(
    new FusionDWConvBNReluMatcher());
#define FUSION_DWCONV_BN_RELU_REGISTER
#endif

#endif

#ifdef PADDLE_MOBILE_MALI_GPU

#ifndef FUSION_DWCONV_BN_RELU_REGISTER
static framework::FusionOpRegistrar fusion_dwconv_bn_relu_registrar(
    new FusionDWConvBNReluMatcher());
#define FUSION_DWCONV_BN_RELU_REGISTER
#endif

#endif

#ifdef PADDLE_MOBILE_FPGA
#endif

}  // namespace operators
}  // namespace paddle_mobile

#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(fusion_dwconv_bn_relu);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif

#endif