lujun
6 years ago
commit
e97ded835a
@ -0,0 +1,71 @@
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# Copyright (c) 2019 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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IF(NOT ${WITH_WBAES})
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return()
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ENDIF(NOT ${WITH_WBAES})
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INCLUDE(ExternalProject)
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SET(WBAES_DST_DIR "wbaes")
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SET(WBAES_INSTALL_ROOT "${THIRD_PARTY_PATH}/install")
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SET(WBAES_INSTALL_DIR ${WBAES_INSTALL_ROOT}/${WBAES_DST_DIR})
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SET(WBAES_ROOT ${WBAES_INSTALL_DIR})
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SET(WBAES_INC_DIR ${WBAES_ROOT}/include)
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SET(WBAES_LIB_DIR ${WBAES_ROOT}/lib)
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SET(CMAKE_INSTALL_RPATH "${CMAKE_INSTALL_RPATH}" "${WBAES_ROOT}/lib")
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SET(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
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IF(APPLE)
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SET(WBAES_TAG "v1.0.0" CACHE STRING "" FORCE)
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SET(WBAES_URL "http://paddlepaddledeps.bj.bcebos.com/wbaes-sdk.mac.${WBAES_TAG}.tgz" CACHE STRING "" FORCE)
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SET(WBAES_LIB ${WBAES_LIB_DIR}/libwbaes.dylib)
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SET(WBAES_SHARED_LIB ${WBAES_LIB_DIR}/libwbaes.dylib)
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ELSEIF(WIN32)
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SET(WBAES_TAG "v1.0.0" CACHE STRING "" FORCE)
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SET(WBAES_URL "http://paddlepaddledeps.bj.bcebos.com/wbaes-sdk.windows-x64.${WBAES_TAG}.tgz" CACHE STRING "" FORCE)
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SET(WBAES_LIB ${WBAES_LIB_DIR}/libwbaes.lib)
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SET(WBAES_SHARED_LIB ${WBAES_LIB_DIR}/libwbaes.dll)
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ELSE()
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SET(WBAES_TAG "v1.0.2" CACHE STRING "" FORCE)
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SET(WBAES_URL "http://paddlepaddledeps.bj.bcebos.com/wbaes-sdk.linux-x86_64.${WBAES_TAG}.tgz" CACHE STRING "" FORCE)
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SET(WBAES_LIB ${WBAES_LIB_DIR}/libwbaes.so)
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SET(WBAES_SHARED_LIB ${WBAES_LIB_DIR}/libwbaes.so)
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ENDIF()
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SET(WBAES_PROJECT "extern_wbaes")
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MESSAGE(STATUS "WBAES_URL: ${WBAES_URL}, WBAES_LIB: ${WBAES_LIB}")
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SET(WBAES_SOURCE_DIR "${THIRD_PARTY_PATH}/wbaes")
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SET(WBAES_DOWNLOAD_DIR "${WBAES_SOURCE_DIR}/src/${WBAES_PROJECT}")
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ExternalProject_Add(
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${WBAES_PROJECT}
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${EXTERNAL_PROJECT_LOG_ARGS}
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PREFIX ${WBAES_SOURCE_DIR}
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URL ${WBAES_URL}
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DOWNLOAD_DIR ${WBAES_DOWNLOAD_DIR}
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DOWNLOAD_NO_PROGRESS 1
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CONFIGURE_COMMAND ""
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BUILD_COMMAND ""
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INSTALL_COMMAND ""
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${CMAKE_COMMAND} -E copy_directory ${WBAES_DOWNLOAD_DIR}/include ${WBAES_INC_DIR} &&
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${CMAKE_COMMAND} -E copy_directory ${WBAES_DOWNLOAD_DIR}/lib ${WBAES_LIB_DIR}
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)
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INCLUDE_DIRECTORIES(${WBAES_INC_DIR})
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ADD_LIBRARY(wbaes SHARED IMPORTED GLOBAL)
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SET_PROPERTY(TARGET wbaes PROPERTY IMPORTED_LOCATION ${WBAES_LIB})
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SET_PROPERTY(TARGET wbaes PROPERTY IMPORTED_NO_SONAME 1)
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ADD_DEPENDENCIES(wbaes ${WBAES_PROJECT})
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@ -0,0 +1,203 @@
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// 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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#include "paddle/fluid/framework/details/async_ssa_graph_executor.h"
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#include "paddle/fluid/framework/variable_helper.h"
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#ifdef PADDLE_WITH_DISTRIBUTE
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#include "paddle/fluid/operators/distributed/communicator.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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inline void NewTempScopeAndInitVars(const std::vector<VarInfo> &var_infos,
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Scope *scope) {
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VLOG(3) << "NewTempScopeAndInitVars";
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Scope &local_scope = scope->NewScope();
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*scope->Var(details::kLocalExecScopeName)->GetMutable<Scope *>() =
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&local_scope;
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for (auto &info : var_infos) {
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if (scope->FindVar(info.name_) != nullptr) {
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continue;
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}
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if (info.persistable_) { // Persistable
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InitializeVariable(scope->Var(info.name_), info.type_);
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} else {
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InitializeVariable(local_scope.Var(info.name_), info.type_);
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}
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}
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}
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// get RpcContext and remote send and recv op
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void ProcessGraph(std::vector<ir::Graph *> graphs, Scope *scope) {
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#ifdef PADDLE_WITH_DISTRIBUTE
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using RpcCtxMap = operators::distributed::RpcCtxMap;
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VLOG(3) << "ProcessGraph";
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RpcCtxMap send_varname_to_ctx;
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RpcCtxMap recv_varname_to_ctx;
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for (auto i = 0; i < graphs.size(); ++i) {
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std::vector<ir::Node *> nodes_to_delete;
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for (auto &node : graphs[i]->Nodes()) {
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VLOG(3) << "node name " << node->Name();
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if (node && node->IsOp()) {
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if (node->Name() == "send") {
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auto send_var_name = node->Op()->Input("X")[0];
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auto send_varnames = boost::get<std::vector<std::string>>(
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node->Op()->GetNullableAttr("send_varnames"));
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auto epmap = boost::get<std::vector<std::string>>(
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node->Op()->GetNullableAttr("epmap"));
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auto height_section = boost::get<std::vector<int64_t>>(
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node->Op()->GetNullableAttr("sections"));
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send_varname_to_ctx[send_var_name] =
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operators::distributed::RpcContext(send_var_name, send_varnames,
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epmap, height_section);
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VLOG(3) << "find and init an send op: "
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<< send_varname_to_ctx[send_var_name];
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} else if (node->Name() == "recv") {
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auto recv_var_name = node->Op()->Output("Out")[0];
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auto recv_varnames = boost::get<std::vector<std::string>>(
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node->Op()->GetNullableAttr("recv_varnames"));
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auto epmap = boost::get<std::vector<std::string>>(
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node->Op()->GetNullableAttr("epmap"));
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recv_varname_to_ctx[recv_var_name] =
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operators::distributed::RpcContext(recv_var_name, recv_varnames,
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epmap, {});
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nodes_to_delete.push_back(node);
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VLOG(3) << "find and remove an recv op: "
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<< recv_varname_to_ctx[recv_var_name];
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}
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}
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}
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}
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// init communicator here
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if (send_varname_to_ctx.size() > 0) {
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VLOG(3) << "this is distribute mode, will use communicator";
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operators::distributed::Communicator::Init(send_varname_to_ctx,
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recv_varname_to_ctx, scope);
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operators::distributed::Communicator::GetInstance()->Start();
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}
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#endif
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}
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AsyncSSAGraphExecutor::AsyncSSAGraphExecutor(
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const ExecutionStrategy &strategy, const std::vector<Scope *> &local_scopes,
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const std::vector<platform::Place> &places, std::vector<ir::Graph *> graphs)
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: strategy_(std::move(strategy)),
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local_scopes_(std::move(local_scopes)),
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pool_(places.size() >= 2 ? new ::ThreadPool(places.size()) : nullptr),
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places_(std::move(places)),
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graphs_(std::move(graphs)) {
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VLOG(3) << "build AsyncSSAGraphExecutor";
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PADDLE_ENFORCE_EQ(places_.size(), local_scopes_.size());
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// set the correct size of thread pool to each device.
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strategy_.num_threads_ = strategy_.num_threads_ < places_.size()
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? 1UL
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: strategy_.num_threads_ / places_.size();
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VLOG(1) << "set num_threads: " << strategy_.num_threads_
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<< " to run the operators of the graph on each device.";
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for (size_t i = 0; i < places.size(); ++i) {
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executors_.emplace_back(new details::ThreadedSSAGraphExecutor(
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strategy_, {local_scopes_[i]}, {places_[i]}, graphs_[i]));
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}
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for (auto &node : graphs_[0]->Nodes()) {
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if (node->IsVar() && !node->IsCtrlVar() && node->Var()) {
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var_infos_.emplace_back();
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var_infos_.back().name_ = node->Var()->Name();
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var_infos_.back().type_ = node->Var()->GetType();
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var_infos_.back().persistable_ = node->Var()->Persistable();
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}
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}
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for (auto *scope : local_scopes_) {
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NewTempScopeAndInitVars(var_infos_, scope);
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}
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ProcessGraph(graphs_, local_scopes_[0]);
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}
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void AsyncSSAGraphExecutor::StartOffPythonTrainLoop() {
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VLOG(3) << "StartOffPythonTrainLoop size = " << places_.size();
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for (size_t i = 1; i < places_.size(); ++i) {
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auto call = [this, i]() -> void {
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VLOG(3) << "start off python thread " << i;
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try {
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while (true) {
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executors_[i]->Run({});
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}
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} catch (...) {
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exception_holder_.Catch(std::current_exception());
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VLOG(3) << "get exception type = " << exception_holder_.Type();
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}
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VLOG(3) << "thread " << i << " exited!";
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};
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run_futures_.emplace_back(pool_->enqueue(std::move(call)));
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}
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}
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void AsyncSSAGraphExecutor::HandleException() {
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if (exception_holder_.IsCaught()) {
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for (auto &f : run_futures_) {
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VLOG(3) << "wait future";
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f.wait();
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}
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VLOG(3) << "caught exception " << exception_holder_.Type()
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<< ", rethrow it";
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run_futures_.clear();
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exception_holder_.ReThrow();
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}
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}
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FeedFetchList AsyncSSAGraphExecutor::Run(
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const std::vector<std::string> &fetch_tensors) {
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// init once
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if (run_futures_.size() == 0 && places_.size() > 1) {
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exception_holder_.Clear();
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StartOffPythonTrainLoop();
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}
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if (places_.size() == 1) {
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exception_holder_.Clear();
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} else {
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HandleException();
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}
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FeedFetchList fetch_data;
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fetch_data.reserve(fetch_tensors.size());
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try {
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fetch_data = executors_[0]->Run(fetch_tensors);
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} catch (...) {
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exception_holder_.Catch(std::current_exception());
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}
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HandleException();
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FeedFetchList ret;
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for (size_t fetch_idx = 0; fetch_idx < fetch_tensors.size(); ++fetch_idx) {
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std::vector<const LoDTensor *> lodtensor_ptrs;
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lodtensor_ptrs.push_back(&fetch_data.at(fetch_idx));
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ret.emplace_back();
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ret.back().MergeLoDTensor(lodtensor_ptrs, platform::CPUPlace());
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}
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return ret;
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}
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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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||||
@ -0,0 +1,65 @@
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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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||||
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||||
#include <memory>
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||||
#include <string>
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||||
#include <utility>
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||||
#include <vector>
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||||
|
||||
#include "ThreadPool.h"
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||||
#include "paddle/fluid/framework/details/threaded_ssa_graph_executor.h"
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||||
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||||
namespace paddle {
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||||
namespace framework {
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||||
namespace details {
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||||
|
||||
struct VarInfo {
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||||
std::string name_;
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||||
proto::VarType::Type type_;
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||||
bool persistable_;
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||||
};
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||||
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||||
class AsyncSSAGraphExecutor : public SSAGraphExecutor {
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||||
public:
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||||
AsyncSSAGraphExecutor(const ExecutionStrategy &strategy,
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const std::vector<Scope *> &local_scopes,
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||||
const std::vector<platform::Place> &places,
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||||
std::vector<ir::Graph *> graphs);
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||||
~AsyncSSAGraphExecutor() final = default;
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||||
const ir::Graph &Graph() const override { return *graphs_[0]; }
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||||
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||||
FeedFetchList Run(const std::vector<std::string> &fetch_tensors) override;
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||||
|
||||
private:
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||||
void StartOffPythonTrainLoop();
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||||
void HandleException();
|
||||
|
||||
private:
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||||
ExecutionStrategy strategy_;
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||||
std::vector<Scope *> local_scopes_;
|
||||
std::unique_ptr<::ThreadPool> pool_{nullptr};
|
||||
std::vector<platform::Place> places_;
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||||
std::vector<ir::Graph *> graphs_;
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||||
|
||||
std::vector<std::unique_ptr<details::ThreadedSSAGraphExecutor>> executors_;
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||||
ExceptionHolder exception_holder_;
|
||||
std::vector<std::future<void>> run_futures_;
|
||||
std::vector<VarInfo> var_infos_;
|
||||
};
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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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Reference in new issue