op_proto_maker.h

/* Copyright (c) 2016 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 <string>
#include <unordered_set>

#include "glog/logging.h"
#include "paddle/fluid/framework/attribute.h"
#include "paddle/fluid/framework/framework.pb.h"
namespace paddle {
namespace framework {

enum class OpRole {
  kForward = 0x0000,
  kBackward = 0x0001,
  kOptimize = 0x0002,
  // RPC role is for send/recv releated op
  kRPC = 0x0003,
  // Dist role is for split_byref/split_selected_rows/concat
  // used for distributed training.
  kDist = 0x0004,
  // Tag all learning rate scheduler operators.
  kLRSched = 0x0005,

  kLoss = 0x0100,
  // The default value of op's role. This should be only used for unittests and
  // CreateOp inside a operator.
  kNotSpecified = 0x1000,
};

// this class not only make proto but also init attribute checkers.
class OpProtoAndCheckerMaker {
 public:
  static const char *OpRoleAttrName() { return "op_role"; }
  static const char *OpRoleVarAttrName() { return "op_role_var"; }
  static const char *OpNamescopeAttrName() { return "op_namescope"; }
  static const char *OpCreationCallstackAttrName() { return "op_callstack"; }

  void operator()(proto::OpProto *proto, OpAttrChecker *attr_checker);

  virtual void Make() = 0;

  virtual ~OpProtoAndCheckerMaker() {
    CHECK(validated_) << "should call Validate after build";
  }

 protected:
  struct VariableBuilder {
    proto::OpProto::Var *var_;

    VariableBuilder &AsDuplicable() {
      var_->set_duplicable(true);
      return *this;
    }

    VariableBuilder &AsIntermediate() {
      var_->set_intermediate(true);
      return *this;
    }

    VariableBuilder &AsDispensable() {
      var_->set_dispensable(true);
      return *this;
    }

    VariableBuilder &Reuse(const std::string &name) {
      var_->set_reuse(name);
      return *this;
    }
  };

  VariableBuilder AddInput(const std::string &name, const std::string &comment);

  VariableBuilder AddOutput(const std::string &name,
                            const std::string &comment);

  void Reuse(const std::string &name, const std::string &reused_name);

  template <typename T>
  TypedAttrChecker<T> &AddAttr(const std::string &name,
                               const std::string &comment,
                               bool generated = false) {
    auto *attr = proto_->add_attrs();
    attr->set_name(name);
    attr->set_comment(comment);
    attr->set_generated(generated);
    attr->set_type(AttrTypeID<T>());
    return op_checker_->AddAttrChecker<T>(name);
  }

  void AddComment(const std::string &comment) { proto_->set_comment(comment); }

 private:
  void CheckNoDuplicatedInOutAttrs();
  void Validate();

  void CheckReuseVars();

  proto::OpProto *proto_;
  OpAttrChecker *op_checker_;
  bool validated_{false};
};
}  // namespace framework
}  // namespace paddle