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118 lines
3.6 KiB
118 lines
3.6 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 <map>
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#include <memory>
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/details/op_handle_base.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/selected_rows.h"
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#include "paddle/fluid/platform/device_context.h"
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#if defined(PADDLE_WITH_NCCL)
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#include "paddle/fluid/platform/nccl_helper.h"
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#endif
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namespace paddle {
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namespace framework {
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namespace details {
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struct CollectiveContext {
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std::vector<std::string> endpoints_;
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int trainer_id_{0};
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std::string String() const {
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std::stringstream ss;
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ss << "endpoints_:";
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for (auto e : endpoints_) {
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ss << e << ",";
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}
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ss << "trainer_id_:" << trainer_id_;
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return ss.str();
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}
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static CollectiveContext *GetInstance() {
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std::call_once(init_flag_,
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[&]() { context_.reset(new CollectiveContext()); });
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return context_.get();
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}
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private:
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static std::once_flag init_flag_;
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static std::unique_ptr<CollectiveContext> context_;
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};
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struct ReduceOpHandle : public OpHandleBase {
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std::vector<Scope *> local_scopes_;
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std::vector<platform::Place> places_;
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#if defined(PADDLE_WITH_NCCL)
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const platform::NCCLContextMap *nccl_ctxs_;
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ReduceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes,
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const std::vector<platform::Place> &places,
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const platform::NCCLContextMap *nccl_ctxs)
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: OpHandleBase(node),
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local_scopes_(local_scopes),
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places_(places),
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nccl_ctxs_(nccl_ctxs) {
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if (nccl_ctxs_) {
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for (auto &p_ctx : nccl_ctxs_->contexts_) {
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this->SetDeviceContext(platform::CUDAPlace(p_ctx.first),
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p_ctx.second.ctx_.get());
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}
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}
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}
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#else
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ReduceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes,
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const std::vector<platform::Place> &places)
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: OpHandleBase(node), local_scopes_(local_scopes), places_(places) {}
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#endif
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std::string Name() const override;
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bool IsMultiDeviceTransfer() override { return true; };
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protected:
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void RunImpl() override;
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std::vector<Scope *> GetLocalScopes() override { return local_scopes_; }
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#if defined PADDLE_WITH_CUDA && defined PADDLE_WITH_DISTRIBUTE
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template <typename DevCtx, typename DataType>
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void GatherSelectedRows(
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const std::vector<const SelectedRows *> &src_selecte_rows_,
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const std::vector<platform::Place> &in_places,
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const std::map<platform::Place, platform::DeviceContext *> &dev_ctxes,
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VarHandle *out_var_handle, const platform::Place &out_place,
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SelectedRows *dst_selecte_rows);
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#endif
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void Wait(
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const std::map<platform::Place, platform::DeviceContext *> &dev_ctxes);
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template <typename T>
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std::vector<const T *> GetInputValues(
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const std::vector<VarHandle *> &in_var_handles,
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const std::vector<Scope *> &var_scopes) 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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