operator.h

/* Copyright (c) 2016 Baidu, Inc. All Rights Reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
==============================================================================*/

#pragma once

#include <map>
#include <string>
#include <vector>
#include <utility>
#include "framework/attribute.h"
#include "framework/block_desc.h"
#include "common/type_define.h"
#include "common/types.h"
#include "common/variant.h"
#include "framework/op_info.h"
#include "framework/op_kernel_type.h"
#include "framework/paddle_mobile_object.h"
#include "framework/scope.h"
#include "framework/tensor.h"
#include "framework/variable.h"

namespace paddle_mobile {
namespace framework {
static std::unordered_map<
    std::string, std::pair<std::vector<std::string>, std::vector<std::string>>>
    op_input_output_key = {{"conv2d", {{"Input"}, {"Output"}}},
                           {"relu", {{"X"}, {"Out"}}},
                           {"softmax", {{"X"}, {"Out"}}},
                           {"mul", {{"X"}, {"Out"}}},
                           {"elementwise_add", {{"X", "Y"}, {"Out"}}},
                           {"pool2d", {{"X"}, {"Out"}}},
                           {"batch_norm", {{"X"}, {"Y"}}},
                           {"lrn", {{"X"}, {"Out"}}},
                           {"concat", {{"X"}, {"Out"}}},
                           {"feed", {{"X"}, {"Out"}}},
                           {"fetch", {{"X"}, {"Out"}}}};

template <typename Dtype>
class OperatorBase : PaddleMobileObject {
 public:
  OperatorBase(const std::string &type, const VariableNameMap &inputs,
               const VariableNameMap &outputs, const AttributeMap &attrs,
               std::shared_ptr<Scope> scope);
  virtual ~OperatorBase() {}
  virtual void Run() const = 0;

  const VariableNameMap &Inputs() const { return inputs_; }
  const VariableNameMap &Outputs() const { return outputs_; }
  const std::string &Type() const { return type_; }
  const AttributeMap &Attrs() const { return attrs_; }
  void ClearVariables(const std::vector<std::string> &var_names) const {
    if (this->scope_) {
      this->scope_->EraseVars(var_names);
    }
  }

 protected:
  std::shared_ptr<Scope> scope_;
  std::string type_;
  VariableNameMap inputs_;
  VariableNameMap outputs_;
  AttributeMap attrs_;

 private:
  void CheckAllInputOutputSet() const;
};

template <typename Dtype>
class OperatorWithKernel : public OperatorBase<Dtype> {
 public:
  OperatorWithKernel(const std::string &type, const VariableNameMap &inputs,
                     const VariableNameMap &outputs, const AttributeMap &attrs,
                     std::shared_ptr<Scope> scope)
      : OperatorBase<Dtype>(type, inputs, outputs, attrs, scope) {}
  virtual void InferShape() const = 0;
  virtual void Run() const = 0;
};

template <typename Dtype, typename P>
class OpKernelBase : PaddleMobileObject {
 public:
  virtual void Compute(const P &para) const = 0;

  virtual ~OpKernelBase() = default;
};

#define DEFINE_OP_CONSTRUCTOR(cls, parent_cls)                                 \
  cls(const std::string &type, const ::paddle_mobile::VariableNameMap &inputs, \
      const ::paddle_mobile::VariableNameMap &outputs,                         \
      const ::paddle_mobile::framework::AttributeMap &attrs,                   \
      std::shared_ptr<::paddle_mobile::framework::Scope> scope)                \
      : parent_cls<Dtype, T>(type, inputs, outputs, attrs, scope) {}

}  // namespace framework
}  // namespace paddle_mobile