// 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/optimizer/mir/fusion/conv_scale_fuse_pass.h"
#include <list>
#include <memory>
#include <vector>
#include "lite/core/optimizer/mir/fusion/conv_scale_fuser.h"
#include "lite/core/optimizer/mir/graph_visualize_pass.h"
#include "lite/core/optimizer/mir/pass_registry.h"

namespace paddle {
namespace lite {
namespace mir {

void ConvScaleFusePass::Apply(const std::unique_ptr<SSAGraph>& graph) {
  // initialze fuser params
  std::vector<bool> conv_has_bias_cases{true, /*unsuppoted: false*/};
  std::vector<std::string> conv_type_cases{"conv2d", "depthwise_conv2d"};
  bool has_int8 = false;
  bool has_weight_quant = false;
  for (auto& place : graph->valid_places()) {
    if (place.target == TARGET(kARM) || place.target == TARGET(kHost) ||
        place.target == TARGET(kX86)) {
      if (place.precision == PRECISION(kInt8)) {
        has_int8 = true;
      }
    } else {
      VLOG(5) << "place.target: " << static_cast<int>(place.target);
      return;
    }
  }
  const std::list<mir::Node>& nodes = graph->nodes();
  for (auto& node : nodes) {
    if (node.IsStmt()) {
      auto* op_info = (node.stmt())->op_info();
      if (op_info->HasAttr("quantization_type")) {
        has_weight_quant = true;
        break;
      }
    }
  }
  // only support arm-fp32
  if (has_int8 || has_weight_quant) {
    return;
  }

  // start fuse using params
  for (auto conv_has_bias : conv_has_bias_cases) {
    for (auto conv_type : conv_type_cases) {
      VLOG(4) << "conv_has_bias:" << conv_has_bias
              << " conv_type:" << conv_type;
      fusion::ConvScaleFuser fuser(conv_type, conv_has_bias);
      fuser(graph.get());
    }
  }
}

}  // namespace mir
}  // namespace lite
}  // namespace paddle

REGISTER_MIR_PASS(lite_conv_scale_fuse_pass,
                  paddle::lite::mir::ConvScaleFusePass)
    .BindTargets({TARGET(kOpenCL), TARGET(kARM), TARGET(kX86)});
