// Copyright (c) 2021 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. #include "paddle/fluid/distributed/fleet_executor/fleet_executor.h" #include "paddle/fluid/distributed/fleet_executor/carrier.h" #include "paddle/fluid/distributed/fleet_executor/message_bus.h" #include "paddle/fluid/distributed/fleet_executor/runtime_graph.h" #include "paddle/fluid/distributed/fleet_executor/task_node.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/variable_helper.h" namespace paddle { namespace distributed { FleetExecutor::FleetExecutor(const std::string& exe_desc_str) { bool parse_flag = exe_desc_.ParseFromString(exe_desc_str); PADDLE_ENFORCE(parse_flag, platform::errors::PreconditionNotMet( "Error occurs while parsing string to proto")); } FleetExecutor::~FleetExecutor() { root_scope_->DropKids(); } void FleetExecutor::Init(const framework::ProgramDesc& program_desc, framework::Scope* scope, const platform::Place& place) { runtime_graph_ = std::make_shared(program_desc, exe_desc_); root_scope_ = scope; place_ = place; PADDLE_ENFORCE_NOT_NULL(root_scope_, platform::errors::InvalidArgument( "root_scope_ can not be nullptr")); minibatch_scope_ = &root_scope_->NewScope(); int64_t num_micro_batches = exe_desc_.num_micro_batches(); microbatch_scopes_.resize(num_micro_batches); for (int i = 0; i < num_micro_batches; ++i) { microbatch_scopes_[i] = &minibatch_scope_->NewScope(); CopyParameters(i, program_desc); } VLOG(5) << runtime_graph_->DebugString(); InitCarrier(); InitMessageBus(); } void FleetExecutor::InitCarrier() { Carrier& carrier_instance = Carrier::Instance(); if (!carrier_instance.IsInit()) { carrier_instance.Init(runtime_graph_, root_scope_, minibatch_scope_, microbatch_scopes_, place_); } } void FleetExecutor::InitMessageBus() { std::stringstream ss; ss << "\nThe DNS table of the message bus is: \n"; int64_t cur_rank = exe_desc_.cur_rank(); std::unordered_map rank_to_addr; std::string addr; for (const auto& rank_info : exe_desc_.cluster_info()) { // init the dns map int64_t rank = rank_info.rank(); std::string ip_port = rank_info.ip_port(); ss << rank << "\t->\t" << ip_port << "\n"; rank_to_addr.insert(std::make_pair(rank, ip_port)); if (rank == cur_rank) { addr = ip_port; } } if (addr == "") { PADDLE_ENFORCE_EQ( rank_to_addr.size(), 1, platform::errors::NotFound("Empty address is not valid for " "paddle.distributed.launch method.")); PADDLE_ENFORCE_EQ( cur_rank, 0, platform::errors::NotFound("Address is empty but cur rank is not 0.")); } VLOG(3) << "Current rank is " << cur_rank << " and the ip_port is " << (addr == "" ? "empty" : addr) << "."; VLOG(3) << "The number of ranks are " << (rank_to_addr.size() == 0 ? 1 : rank_to_addr.size()) << "."; VLOG(5) << ss.str(); MessageBus& message_bus_instance = MessageBus::Instance(); if (!message_bus_instance.IsInit()) { message_bus_instance.Init(runtime_graph_->intercepter_id_to_rank(), rank_to_addr, addr); } } void FleetExecutor::Run() { // Run Carrier& carrier_instance = Carrier::Instance(); MessageBus& message_bus_instance = MessageBus::Instance(); PADDLE_ENFORCE_EQ( carrier_instance.IsInit(), true, platform::errors::Unavailable("Carrier has not been init yet.")); PADDLE_ENFORCE_EQ( message_bus_instance.IsInit(), true, platform::errors::Unavailable("MessageBus has not been init yet.")); carrier_instance.Start(); for (auto* micro_scop : microbatch_scopes_) { // By default, we should delete all kid scopes after run executor because // some operators may create local scope when running, such as while_op. // But when while_op also create a local executor to run it's sub block, // the sub scopes it created should not be dropped immediately, because // while_grad_op will use some variables created during while_op run, so // we need to keep the kids and wait for the outer executor to drop them. micro_scop->DropKids(); } } void FleetExecutor::CopyParameters(int microbatch_id, const framework::ProgramDesc& program) { auto& global_block = program.Block(0); for (auto& var : global_block.AllVars()) { if (var->Persistable() && microbatch_id == 0) { auto* ptr = root_scope_->Var(var->Name()); InitializeVariable(ptr, var->GetType()); VLOG(5) << "Create persistable var: " << var->Name() << ", which pointer is " << ptr; } else if (!var->Persistable()) { auto* ptr = microbatch_scopes_[microbatch_id]->Var(var->Name()); VLOG(5) << "Create variable " << var->Name() << " for microbatch " << microbatch_id << ", which pointer is " << ptr << "."; InitializeVariable(ptr, var->GetType()); } } } } // namespace distributed } // namespace paddle