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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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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SOFTWARE.
==============================================================================*/

#pragma once

#include <map>

#include "attribute.h"
#include "block_desc.h"
#include "common/type_define.h"
#include "common/types.h"
#include "common/variant.h"
#include "op_info.h"
#include "op_kernel_type.h"
#include "paddle_mobile_object.h"
#include "scope.h"
#include "tensor.h"
#include "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;
};

} // namespace framework
} // namespace paddle_mobile