fusion_conv_bn_add_relu_op.h 2.8 KB
Newer Older
Y
yangfei 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
/* 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_CONVBNADDRELU_OP

#pragma once

#include <string>
L
liuruilong 已提交
20
#include <utility>
L
liuruilong 已提交
21
#include <vector>
Y
yangfei 已提交
22 23 24
#include "framework/operator.h"
#include "framework/program/program-optimize/fusion_op_register.h"
#include "operators/kernel/conv_bn_add_relu_kernel.h"
L
liuruilong 已提交
25
#include "operators/op_param.h"
Y
yangfei 已提交
26 27

namespace paddle_mobile {
28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78
namespace operators {
using std::string;
using std::vector;
class FusionConvBNAddReluMatcher : public framework::FusionOpMatcher {
 public:
  FusionConvBNAddReluMatcher() {
    node_ = framework::Node(G_OP_TYPE_CONV);
    node_ > std::make_shared<framework::Node>(G_OP_TYPE_BATCHNORM) >
        std::make_shared<framework::Node>(G_OP_TYPE_ELEMENTWISE_ADD) >
        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_ELEMENTWISE_ADD, {{"Y", "Y"}, {"X", "X"}}},
                  {G_OP_TYPE_BATCHNORM,
                   {{"Scale", "Scale"},
                    {"Mean", "Mean"},
                    {"Bias", "Bias"},
                    {"Variance", "Variance"},
                    {"Y", "BNY"}}}},
                 removed_nodes);
  }

  std::string Type() { return G_OP_TYPE_FUSION_CONV_BN_ADD_RELU; }
  std::vector<std::pair<int, std::string>> NeedCheck() {
    DLOG << " conv bn add relu check add X ";
    return {{2, "Y"}, {2, "X"}};
  }
};

template <typename DeviceType, typename T>
class FusionConvBNAddReluOp
    : public framework::OperatorWithKernel<
          DeviceType, FusionConvBNAddReluParam<DeviceType>,
          operators::ConvBNAddReluKernel<DeviceType, T>> {
 public:
  FusionConvBNAddReluOp(const string &type, const VariableNameMap &inputs,
                        const VariableNameMap &outputs,
                        const framework::AttributeMap &attrs,
                        std::shared_ptr<framework::Scope> scope)
      : framework::OperatorWithKernel<
            DeviceType, FusionConvBNAddReluParam<DeviceType>,
            operators::ConvBNAddReluKernel<DeviceType, T>>(
            type, inputs, outputs, attrs, scope) {}
  void InferShape() const override;

 protected:
};
Y
yangfei 已提交
79

80
}  // namespace operators
Y
yangfei 已提交
81 82 83
}  // namespace paddle_mobile

#endif