program.h 2.3 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
// Copyright (c) 2023 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 <list>
18
#include <ostream>
19 20
#include <unordered_map>

21
#include "paddle/ir/core/attribute.h"
22 23
#include "paddle/ir/core/block.h"
#include "paddle/ir/core/builtin_attribute.h"
24
#include "paddle/ir/core/builtin_op.h"
25 26
#include "paddle/ir/core/operation.h"
#include "paddle/ir/core/parameter.h"
27 28

namespace ir {
29 30

class IrContext;
31 32 33 34 35 36 37 38 39 40
///
/// \brief Program is an abstraction of model structure, divided into
/// computational graphs and weights. At the current stage, a computational
/// graph is represented in the form of a list<Operation *>. Todo: In the
/// future, detailed design of control flow operators will be carried out, and
/// concepts such as basic blocks, closures, and functions will be introduced to
/// continuously improve Program's ability to represent computational graphs.
///
class Program {
 public:
41 42 43 44 45 46 47
  using ParameterMap =
      std::unordered_map<std::string, std::unique_ptr<Parameter>>;
  explicit Program(IrContext* context);
  Program(Program&&) = delete;
  Program(const Program& program) = delete;
  Program& operator=(const Program&) = delete;
  Program& operator=(Program&&);
48 49 50
  ~Program();
  size_t parameters_num() const { return parameters_.size(); }

51
  ModuleOp module_op() { return module_; }
52

Y
Yuanle Liu 已提交
53
  void Print(std::ostream& os);
54

55
  Block* block() { return module_.block(); }
56

57
  Parameter* GetParameter(std::string name) const;
58 59
  void SetParameter(std::string name, std::unique_ptr<Parameter>&& parameter);

60 61 62 63 64
  ParameterMap& parameters() { return parameters_; }
  void set_parameters(ParameterMap&& parameters) {
    parameters_ = std::move(parameters);
  }

65
 private:
66 67 68 69
  // computation graph
  ModuleOp module_;
  // weight
  ParameterMap parameters_;
70 71 72
};

}  // namespace ir