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Paddle/paddle/fluid/framework/details/multi_devices_graph_builder.h

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4.0 KiB

// 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>
#include <utility>
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#include <vector>
#include "paddle/fluid/framework/details/build_strategy.h"
#include "paddle/fluid/framework/details/ssa_graph_builder.h"
namespace paddle {
namespace platform {
class NCCLContextMap;
}
namespace framework {
class Scope;
namespace details {
class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
public:
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#ifdef PADDLE_WITH_CUDA
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,
platform::NCCLContextMap *nccl_ctxs,
const BuildStrategy &strategy);
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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,
const BuildStrategy &strategy);
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#endif
std::unique_ptr<SSAGraph> Build(const ProgramDesc &program) const override;
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private:
void CreateOpHandleIOs(SSAGraph *result, const OpDesc &op,
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
bool IsScaleLossOp(const OpDesc &op) const;
void CreateRPCOp(SSAGraph *result, const OpDesc &op) const;
void CreateDistTrainOp(SSAGraph *result, const OpDesc &op) const;
/**
* Is this operator as the end-point operator before/after send operator.
*/
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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;
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void ConnectOp(SSAGraph *result, OpHandleBase *op,
const std::string &prev_op_name) const;
void CreateComputationalOps(SSAGraph *result, const OpDesc &op,
size_t num_places) const;
void CreateScaleLossGradOp(SSAGraph *result) const;
VarHandle *CreateReduceOp(SSAGraph *result, const std::string &og,
int dst_dev_id) const;
void CreateComputationalOp(SSAGraph *result, const OpDesc &op,
int dev_id) const;
bool IsParameterGradientOnce(
const std::string &og,
std::unordered_set<std::string> *og_has_been_broadcast) const;
int GetOpDeviceID(
const std::vector<std::unordered_set<std::string>> &var_name_on_devices,
const OpDesc &op) const;
void InsertNCCLAllReduceOp(SSAGraph *result, const std::string &og) const;
void CreateBroadcastOp(SSAGraph *result, const std::string &p_name,
size_t src_dev_id) const;
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bool IsSparseGradient(
const std::unordered_map<std::string, proto::VarType::Type> &var_types,
const std::string &og) const;
private:
BuildStrategy strategy_;
};
} // namespace details
} // namespace framework
} // namespace paddle