multi_devices_graph_builder.h 3.8 KB
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//   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
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#include <string>
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#include <utility>
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#include <vector>

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#include "paddle/fluid/framework/details/ssa_graph_builder.h"

namespace paddle {
namespace platform {
class NCCLContextMap;
}

namespace framework {
class Scope;
namespace details {
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class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
 public:
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#ifdef PADDLE_WITH_CUDA
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  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,
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                          platform::NCCLContextMap *nccl_ctxs,
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                          bool use_default_grad_scale,
                          bool balance_parameter_opt_between_cards);
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#else
  MultiDevSSAGraphBuilder(const std::vector<platform::Place> &places,
                          const std::string &loss_var_name,
                          const std::unordered_set<std::string> &params,
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                          const std::vector<Scope *> &local_scopes,
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                          bool use_default_grad_scale,
                          bool balance_parameter_opt_between_cards);
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#endif
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  std::unique_ptr<SSAGraph> Build(const ProgramDesc &program) const override;
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 private:
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  void CreateOpHandleIOs(SSAGraph *result, const OpDesc &op,
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                         size_t place_id) const;
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 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_;
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#ifdef PADDLE_WITH_CUDA
  platform::NCCLContextMap *nccl_ctxs_;
#endif
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  bool balance_parameter_opt_between_cards_;
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  bool use_default_grad_scale_;
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  bool IsScaleLossOp(const OpDesc &op) const;

  void CreateSendOp(SSAGraph *result, const OpDesc &op) const;

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  /**
   * Is this operator as the end-point operator before/after send operator.
   */
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  bool IsDistTrainOp(const OpDesc &op, OpDesc *send_op) const;

  void CreateComputationalOps(SSAGraph *result, const OpDesc &op,
                              size_t num_places) const;
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  void CreateScaleLossGradOp(SSAGraph *result) const;
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  VarHandle *CreateReduceOp(SSAGraph *result, const std::string &og,
                            int dst_dev_id) const;
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  void CreateComputationalOp(SSAGraph *result, const OpDesc &op,
                             int dev_id) const;
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  bool IsParameterGradientOnce(
      const std::string &og,
      std::unordered_set<std::string> *og_has_been_broadcast) const;

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  int GetOpDeviceID(
      const std::vector<std::unordered_set<std::string>> &var_name_on_devices,
      const OpDesc &op) const;

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  void InsertNCCLAllReduceOp(SSAGraph *result, const std::string &og) const;
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  void CreateBroadcastOp(SSAGraph *result, const std::string &p_name,
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                         size_t src_dev_id) const;
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  /**
   * Get send op in the global block of program.
   * nullptr if not found.
   */
  OpDesc *GetSendOpDesc(const ProgramDesc &program) const;
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  bool IsSparseGradient(
      const std::unordered_map<std::string, proto::VarType::Type> &var_types,
      const std::string &og) const;
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};
}  // namespace details
}  // namespace framework
}  // namespace paddle