multi_devices_graph_builder.h 4.2 KB
Newer Older
Y
Yu Yang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
//   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.

#pragma once
T
wip  
typhoonzero 已提交
16
#include <string>
C
chengduoZH 已提交
17
#include <utility>
T
wip  
typhoonzero 已提交
18 19
#include <vector>

Y
yuyang18 已提交
20
#include "paddle/fluid/framework/details/build_strategy.h"
Y
Yu Yang 已提交
21 22 23 24 25 26 27 28 29 30
#include "paddle/fluid/framework/details/ssa_graph_builder.h"

namespace paddle {
namespace platform {
class NCCLContextMap;
}

namespace framework {
class Scope;
namespace details {
C
chengduoZH 已提交
31

Y
Yu Yang 已提交
32 33
class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
 public:
Y
Yu Yang 已提交
34
#ifdef PADDLE_WITH_CUDA
Y
Yu Yang 已提交
35 36 37 38
  MultiDevSSAGraphBuilder(const std::vector<platform::Place> &places,
                          const std::string &loss_var_name,
                          const std::unordered_set<std::string> &params,
                          const std::vector<Scope *> &local_scopes,
C
chengduoZH 已提交
39
                          platform::NCCLContextMap *nccl_ctxs,
Y
yuyang18 已提交
40
                          const BuildStrategy &strategy);
Y
Yu Yang 已提交
41 42 43 44
#else
  MultiDevSSAGraphBuilder(const std::vector<platform::Place> &places,
                          const std::string &loss_var_name,
                          const std::unordered_set<std::string> &params,
Y
Yu Yang 已提交
45
                          const std::vector<Scope *> &local_scopes,
Y
yuyang18 已提交
46
                          const BuildStrategy &strategy);
Y
Yu Yang 已提交
47
#endif
Y
Yu Yang 已提交
48

Y
Yu Yang 已提交
49
  std::unique_ptr<SSAGraph> Build(const ProgramDesc &program) const override;
50
  int GetVarDeviceID(const std::string &varname) const;
51

T
wip  
typhoonzero 已提交
52
 private:
Y
Yu Yang 已提交
53
  void CreateOpHandleIOs(SSAGraph *result, const OpDesc &op,
54
                         size_t device_id) const;
T
wip  
typhoonzero 已提交
55

Y
Yu Yang 已提交
56 57 58 59 60
 private:
  std::string loss_var_name_;
  const std::vector<platform::Place> &places_;
  const std::vector<Scope *> &local_scopes_;
  std::unordered_set<std::string> grad_names_;
Y
Yu Yang 已提交
61 62 63 64

#ifdef PADDLE_WITH_CUDA
  platform::NCCLContextMap *nccl_ctxs_;
#endif
Y
Yu Yang 已提交
65 66 67

  bool IsScaleLossOp(const OpDesc &op) const;

68 69 70
  void CreateRPCOp(SSAGraph *result, const OpDesc &op, int place_id) const;
  void CreateDistTrainOp(SSAGraph *result, const OpDesc &op,
                         int place_id) const;
Y
Yu Yang 已提交
71

Y
Yu Yang 已提交
72 73 74
  /**
   * Is this operator as the end-point operator before/after send operator.
   */
Y
fix pe  
Yancey1989 已提交
75 76 77 78 79 80 81 82 83
  bool IsDistTrainOp(const OpDesc &op,
                     const std::vector<std::string> &send_vars,
                     const std::vector<std::string> &recv_vars) const;

  std::vector<std::string> FindDistTrainSendVars(
      const ProgramDesc &program) const;

  std::vector<std::string> FindDistTrainRecvVars(
      const ProgramDesc &program) const;
T
typhoonzero 已提交
84

Y
fix pe  
Yancey1989 已提交
85 86
  void ConnectOp(SSAGraph *result, OpHandleBase *op,
                 const std::string &prev_op_name) const;
Y
Yancey1989 已提交
87

T
typhoonzero 已提交
88 89
  void CreateComputationalOps(SSAGraph *result, const OpDesc &op,
                              size_t num_places) const;
Y
Yu Yang 已提交
90 91

  void CreateScaleLossGradOp(SSAGraph *result) const;
C
chengduoZH 已提交
92 93
  VarHandle *CreateReduceOp(SSAGraph *result, const std::string &og,
                            int dst_dev_id) const;
C
chengduoZH 已提交
94 95
  void CreateComputationalOp(SSAGraph *result, const OpDesc &op,
                             int dev_id) const;
Y
Yu Yang 已提交
96 97 98 99 100

  bool IsParameterGradientOnce(
      const std::string &og,
      std::unordered_set<std::string> *og_has_been_broadcast) const;

101
  int GetOpDeviceID(const OpDesc &op) const;
C
chengduoZH 已提交
102

C
chengduoZH 已提交
103
  void InsertAllReduceOp(SSAGraph *result, const std::string &og) const;
Y
Yu Yang 已提交
104

C
chengduoZH 已提交
105
  void CreateBroadcastOp(SSAGraph *result, const std::string &p_name,
C
chengduoZH 已提交
106
                         size_t src_dev_id) const;
C
chengduoZH 已提交
107

C
fix ci  
chengduoZH 已提交
108
  bool IsSparseGradient(
C
chengduoZH 已提交
109
      const std::unordered_map<std::string, VarDesc *> &all_vars,
C
fix ci  
chengduoZH 已提交
110
      const std::string &og) const;
Y
yuyang18 已提交
111 112 113

 private:
  BuildStrategy strategy_;
114
  mutable std::unordered_map<std::string, int> var_name_on_devices_;
C
chengduoZH 已提交
115 116 117

  void SetCommunicationContext(OpHandleBase *op_handle,
                               const platform::Place &p) const;
Y
Yu Yang 已提交
118 119 120 121
};
}  // namespace details
}  // namespace framework
}  // namespace paddle