executor.h 3.0 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Q
qijun 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

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

Y
Yi Wang 已提交
17 18 19 20 21
#include "paddle/fluid/framework/op_info.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/framework/tensor.h"
#include "paddle/fluid/platform/device_context.h"
Q
qijun 已提交
22 23 24

namespace paddle {
namespace framework {
25
extern void InitializeVariable(Variable* var, proto::VarType::Type var_type);
Q
Qiao Longfei 已提交
26 27 28 29 30 31 32 33 34 35

struct ExecutorPrepareContext {
  ExecutorPrepareContext(const framework::ProgramDesc& prog, size_t block_id);
  ~ExecutorPrepareContext();

  const framework::ProgramDesc& prog_;
  size_t block_id_;
  std::vector<std::unique_ptr<OperatorBase>> ops_;
};

Q
qijun 已提交
36 37
class Executor {
 public:
D
dzhwinter 已提交
38 39
  // TODO(dzhwinter) : Do not rely on this function, it will be removed
  explicit Executor(const platform::DeviceContext& device)
D
dzhwinter 已提交
40
      : Executor(device.GetPlace()) {}
D
dzhwinter 已提交
41

D
dzhwinter 已提交
42
  explicit Executor(const platform::Place& place);
Y
Yang Yang 已提交
43 44 45 46 47 48 49 50

  /* @Brief
   * Runtime evaluation of the given ProgramDesc under certain Scope
   *
   * @param
   *  ProgramDesc
   *  Scope
   */
Y
Yu Yang 已提交
51 52
  void Run(const ProgramDesc& prog, Scope* scope, int block_id,
           bool create_local_scope = true, bool create_vars = true);
Q
qijun 已提交
53

54 55 56
  void Run(const ProgramDesc& program, Scope* scope,
           std::map<std::string, const LoDTensor*>& feed_targets,
           std::map<std::string, LoDTensor*>& fetch_targets,
57
           bool create_vars = true,
58
           const std::string& feed_holder_name = "feed",
59
           const std::string& fetch_holder_name = "fetch");
60

Q
Qiao Longfei 已提交
61 62
  static std::unique_ptr<ExecutorPrepareContext> Prepare(
      const ProgramDesc& program, int block_id);
Y
Yu Yang 已提交
63

T
typhoonzero 已提交
64 65 66
  static std::vector<std::shared_ptr<ExecutorPrepareContext>> Prepare(
      const ProgramDesc& program, const std::vector<int>& block_ids);

L
Liu Yiqun 已提交
67
  void CreateVariables(const ProgramDesc& pdesc, Scope* scope, int block_id);
68

Y
Yu Yang 已提交
69 70 71 72
  void RunPreparedContext(ExecutorPrepareContext* ctx, Scope* scope,
                          bool create_local_scope = true,
                          bool create_vars = true);

73 74 75 76 77 78 79
  void RunPreparedContext(ExecutorPrepareContext* ctx, Scope* scope,
                          std::map<std::string, const LoDTensor*>& feed_targets,
                          std::map<std::string, LoDTensor*>& fetch_targets,
                          const std::string& feed_holder_name = "feed",
                          const std::string& fetch_holder_name = "fetch",
                          bool create_vars = true);

Q
qijun 已提交
80
 private:
D
dzhwinter 已提交
81
  const platform::Place place_;
Q
qijun 已提交
82
};
Q
qijun 已提交
83 84 85

}  // namespace framework
}  // namespace paddle