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124 lines
4.3 KiB
124 lines
4.3 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#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/build_strategy.h"
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#include "paddle/fluid/framework/details/ssa_graph_builder.h"
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#include "paddle/fluid/framework/ir/graph.h"
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namespace paddle {
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namespace platform {
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class NCCLContextMap;
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}
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namespace framework {
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class Scope;
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namespace details {
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class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
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public:
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#ifdef PADDLE_WITH_CUDA
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MultiDevSSAGraphBuilder(const std::vector<platform::Place> &places,
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const std::string &loss_var_name,
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const std::unordered_set<std::string> ¶ms,
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const std::vector<Scope *> &local_scopes,
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platform::NCCLContextMap *nccl_ctxs,
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const BuildStrategy &strategy);
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#else
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MultiDevSSAGraphBuilder(const std::vector<platform::Place> &places,
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const std::string &loss_var_name,
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const std::unordered_set<std::string> ¶ms,
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const std::vector<Scope *> &local_scopes,
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const BuildStrategy &strategy);
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#endif
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std::unique_ptr<Graph> Apply(std::unique_ptr<Graph> graph) const override;
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int GetVarDeviceID(const std::string &varname) const override;
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private:
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void CreateOpHandleIOs(Graph *result, ir::Node *node, size_t device_id) const;
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private:
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std::string loss_var_name_;
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const std::vector<platform::Place> &places_;
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const std::vector<Scope *> &local_scopes_;
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std::unordered_set<std::string> grad_names_;
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#ifdef PADDLE_WITH_CUDA
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platform::NCCLContextMap *nccl_ctxs_;
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#endif
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bool IsScaleLossOp(ir::Node *node) const;
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void CreateRPCOp(Graph *result, ir::Node *node) const;
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void CreateDistTrainOp(Graph *result, ir::Node *node) const;
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/**
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* Is this operator as the end-point operator before/after send operator.
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*/
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bool IsDistTrainOp(ir::Node *node, const std::vector<std::string> &send_vars,
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const std::vector<std::string> &recv_vars) const;
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std::vector<std::string> FindDistTrainSendVars(
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const std::vector<std::unique_ptr<ir::Node>> &nodes) const;
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std::vector<std::string> FindDistTrainRecvVars(
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const std::vector<std::unique_ptr<ir::Node>> &nodes) const;
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void ConnectOp(Graph *result, OpHandleBase *op,
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const std::string &prev_op_name) const;
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void CreateComputationalOps(Graph *result, ir::Node *node,
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size_t num_places) const;
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void CreateScaleLossGradOp(Graph *result) const;
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VarHandle *CreateReduceOp(Graph *result, const std::string &og,
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int dst_dev_id) const;
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void CreateComputationalOp(Graph *result, ir::Node *node, int dev_id) const;
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bool IsParameterGradientOnce(
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const std::string &og,
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std::unordered_set<std::string> *og_has_been_broadcast) const;
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int GetOpDeviceID(ir::Node *node) const;
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void InsertAllReduceOp(Graph *result, const std::string &og) const;
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void InsertDataBalanceOp(Graph *result,
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const std::vector<std::string> &datas) const;
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void CreateBroadcastOp(Graph *result, const std::string &p_name,
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size_t src_dev_id) const;
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bool IsSparseGradient(const std::string &og) const;
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size_t GetAppropriateDeviceID(
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const std::vector<std::string> &var_names) const;
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private:
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BuildStrategy strategy_;
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mutable std::unordered_map<std::string, VarDesc *> all_vars_;
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mutable std::unordered_map<std::string, int> var_name_on_devices_;
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mutable std::vector<int64_t> balance_vars_;
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void SetCommunicationContext(OpHandleBase *op_handle,
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const platform::Place &p) const;
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};
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} // namespace details
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} // namespace framework
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} // namespace paddle
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