text: // Copyright (c) 2019 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.
  
  #include "lite/core/mir/fusion/conv_conv_fuse_pass.h"
  #include <memory>
  #include <vector>
  #include "lite/core/mir/fusion/conv_conv_fuser.h"
  #include "lite/core/mir/graph_visualize_pass.h"
  #include "lite/core/mir/pass_registry.h"
  
  namespace paddle {
  namespace lite {
  namespace mir {
  
  void ConvConvFusePass::Apply(const std::unique_ptr<SSAGraph>& graph) {
    // initialze fuser params
    std::vector<bool> conv_has_bias_cases{true, false};
    std::vector<std::string> conv_type_cases{"conv2d", "depthwise_conv2d"};
    bool has_fp32 = false;
    bool has_int8 = false;
    for (auto& place : graph->valid_places()) {
      if (place.target == TARGET(kARM) || place.target == TARGET(kHost)) {
        if (place.precision == PRECISION(kFloat)) {
          has_fp32 = true;
        }
        if (place.precision == PRECISION(kInt8)) {
          has_int8 = true;
        }
      } else {
        VLOG(5) << "place.target: " << static_cast<int>(place.target);
        return;
      }
    }
    // only support arm-fp32
    if (has_int8 || (has_fp32 && has_int8)) {
      return;
    }
    // only support fp32 fusion
    for (auto conv_has_bias0 : conv_has_bias_cases) {
      for (auto conv_has_bias1 : conv_has_bias_cases) {
        for (auto conv_type0 : conv_type_cases) {
          for (auto conv_type1 : {"conv2d"}) {  // it mustbe 1x1s1p0_conv
            VLOG(5) << "conv_has_bias0:" << conv_has_bias0
                    << " conv_type0:" << conv_type0;
            VLOG(5) << "conv_has_bias1:" << conv_has_bias1
                    << " conv_type1:" << conv_type1;
            fusion::ConvConvFuser fuser(
                conv_type0, conv_type1, conv_has_bias0, conv_has_bias1, graph);
            fuser(graph.get());
          }
        }
      }
    }
  }
  
  }  // namespace mir
  }  // namespace lite
  }  // namespace paddle
  
  REGISTER_MIR_PASS(lite_conv_conv_fuse_pass, paddle::lite::mir::ConvConvFusePass)
      .BindTargets({TARGET(kARM)});
  