argument.h 6.3 KB
Newer Older
Y
Yan Chunwei 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
// Copyright (c) 2018 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.

/*
 * This file defines the class Argument, which is the input and output of the
 * analysis module. All the fields that needed either by Passes or PassManagers
 * are contained in Argument.
 *
 * TODO(Superjomn) Find some way better to contain the fields when it grow too
 * big.
 */

G
gongweibao 已提交
24 25
#pragma once

G
gongweibao 已提交
26
#include <string>
27 28
#include <vector>
#include "paddle/fluid/framework/ir/graph.h"
Y
Yan Chunwei 已提交
29
#include "paddle/fluid/framework/program_desc.h"
30
#include "paddle/fluid/framework/scope.h"
31
#include "paddle/fluid/platform/variant.h"
Y
Yan Chunwei 已提交
32 33 34 35

namespace paddle {
namespace inference {
namespace analysis {
36
using framework::ir::Graph;
Y
Yan Chunwei 已提交
37 38 39 40 41 42 43

/*
 * The argument definition of both Pass and PassManagers.
 *
 * All the fields should be registered here for clearness.
 */
struct Argument {
Y
Yan Chunwei 已提交
44
  Argument() = default;
45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129
  explicit Argument(const std::string& model_dir) { SetModelDir(model_dir); }

  using unique_ptr_t = std::unique_ptr<void, std::function<void(void*)>>;
  using fusion_statis_t = std::unordered_map<std::string, int>;

  bool Has(const std::string& key) const { return valid_fields_.count(key); }

#define DECL_ARGUMENT_FIELD(field__, Field, type__) \
 public:                                            \
  type__& field__() {                               \
    PADDLE_ENFORCE(Has(#field__));                  \
    return field__##_;                              \
  }                                                 \
  void Set##Field(const type__& x) {                \
    field__##_ = x;                                 \
    valid_fields_.insert(#field__);                 \
  }                                                 \
  DECL_ARGUMENT_FIELD_VALID(field__);               \
  type__* field__##_ptr() { return &field__##_; }   \
                                                    \
 private:                                           \
  type__ field__##_;

#define DECL_ARGUMENT_FIELD_VALID(field__) \
  bool field__##_valid() { return Has(#field__); }

#define DECL_ARGUMENT_UNIQUE_FIELD(field__, Field, type__)                \
 public:                                                                  \
  type__& field__() {                                                     \
    PADDLE_ENFORCE_NOT_NULL(field__##_);                                  \
    PADDLE_ENFORCE(Has(#field__));                                        \
    return *static_cast<type__*>(field__##_.get());                       \
  }                                                                       \
  void Set##Field(type__* x) {                                            \
    field__##_ =                                                          \
        unique_ptr_t(x, [](void* x) { delete static_cast<type__*>(x); }); \
    valid_fields_.insert(#field__);                                       \
  }                                                                       \
  void Set##Field##NotOwned(type__* x) {                                  \
    valid_fields_.insert(#field__);                                       \
    field__##_ = unique_ptr_t(x, [](void* x) {});                         \
  }                                                                       \
  DECL_ARGUMENT_FIELD_VALID(field__);                                     \
  type__* field__##_ptr() {                                               \
    PADDLE_ENFORCE(Has(#field__));                                        \
    return static_cast<type__*>(field__##_.get());                        \
  }                                                                       \
  type__* Release##Field() {                                              \
    PADDLE_ENFORCE(Has(#field__));                                        \
    valid_fields_.erase(#field__);                                        \
    return static_cast<type__*>(field__##_.release());                    \
  }                                                                       \
                                                                          \
 private:                                                                 \
  unique_ptr_t field__##_;

  // Model path
  DECL_ARGUMENT_FIELD(model_dir, ModelDir, std::string);
  // Model specified with program and parameters files.
  DECL_ARGUMENT_FIELD(model_program_path, ModelProgramPath, std::string);
  DECL_ARGUMENT_FIELD(model_params_path, ModelParamsPath, std::string);

  // The overall graph to work on.
  DECL_ARGUMENT_UNIQUE_FIELD(main_graph, MainGraph, framework::ir::Graph);
  // The overall Scope to work on.
  DECL_ARGUMENT_UNIQUE_FIELD(scope, Scope, framework::Scope);

  DECL_ARGUMENT_UNIQUE_FIELD(main_program, MainProgram, framework::ProgramDesc);

  // The ir passes to perform in analysis phase.
  DECL_ARGUMENT_FIELD(ir_analysis_passes, IrAnalysisPasses,
                      std::vector<std::string>);

  DECL_ARGUMENT_FIELD(use_gpu, UseGPU, bool);
  DECL_ARGUMENT_FIELD(use_tensorrt, UseTensorRT, bool);
  DECL_ARGUMENT_FIELD(tensorrt_node_teller, TensorRtNodeTeller,
                      std::function<bool(const framework::ir::Node*)>);
  DECL_ARGUMENT_FIELD(tensorrt_max_batch_size, TensorRtMaxBatchSize, int);
  DECL_ARGUMENT_FIELD(tensorrt_workspace_size, TensorRtWorkspaceSize, int);

  // The program transformed by IR analysis phase.
  DECL_ARGUMENT_UNIQUE_FIELD(ir_analyzed_program, IrAnalyzedProgram,
                             framework::proto::ProgramDesc);

  DECL_ARGUMENT_FIELD(fusion_statis, FusionStatis, fusion_statis_t);
130 131

 private:
132
  std::unordered_set<std::string> valid_fields_;
Y
Yan Chunwei 已提交
133 134
};

135 136 137
#define ARGUMENT_CHECK_FIELD(argument__, fieldname__) \
  PADDLE_ENFORCE(argument__->Has(#fieldname__),       \
                 "the argument field [%s] should be set", #fieldname__);
Y
Yan Chunwei 已提交
138 139 140 141

}  // namespace analysis
}  // namespace inference
}  // namespace paddle