// 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.

#pragma once

#include <memory>
#include <string>
#include "lite/core/mir/pattern_matcher_high_api.h"

namespace paddle {
namespace lite {
namespace mir {
namespace fusion {

/* The model trained by fluid quantization is a simulation of real int8.
 * The quantized Ops(conv2d, mul, depthwise conv2d etc) have fake_quantop
 * in front and fake_dequantop behind.
 *
 * When in int8 mode, the pattern like "fake_quant + quantized_op +
 * fake_dequant"
 * can be detected by this fuser. The fuser extract the input_scale and
 * the weight_scale info from fake_quant, fake_dequant op and fuse those into
 * the quantized_op.
 * In addition, the fuser delete fake_quant and fake_dequant op in the graph at
 * the last.
 */
class QuantDequantOpFuser : public FuseBase {
 public:
  explicit QuantDequantOpFuser(const std::string& op_type,
                               const std::string& quant_type,
                               int times)
      : op_type_(op_type), quant_type_(quant_type), times_(times) {}
  void BuildPattern() override;
  void InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) override;

 private:
  cpp::OpDesc GenOpDesc(const key2nodes_t& matched) override;

 private:
  std::string op_type_{"conv2d"};
  std::string quant_type_;
  int times_;
};

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