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remove unused file

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release/0.12.0
qiaolongfei 7 years ago
parent dc3d2dc8ff
commit 0763ae9a1a
4 changed files with 0 additions and 691 deletions
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214
paddle/fluid/operators/async_listen_and_serv_op.cc
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/* Copyright (c) 2016 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 <fstream>
#include <ostream>
#include <thread> // NOLINT
#include <vector>
#include "paddle/fluid/operators/async_listen_and_serv_op.h"
#include "paddle/utils/StringUtil.h"
namespace paddle {
namespace operators {
static void split(const std::string &str, char sep,
std::vector<std::string> *pieces) {
pieces->clear();
if (str.empty()) {
return;
}
size_t pos = 0;
size_t next = str.find(sep, pos);
while (next != std::string::npos) {
pieces->push_back(str.substr(pos, next - pos));
pos = next + 1;
next = str.find(sep, pos);
}
if (!str.substr(pos).empty()) {
pieces->push_back(str.substr(pos));
}
}
void RunServer(std::shared_ptr<detail::SyncGRPCServer> service) {
service->RunAsyncUpdate();
VLOG(4) << "RunServer thread end";
}
static void AsyncExecuteBlock(framework::Executor *executor,
framework::ExecutorPrepareContext *prepared,
framework::Scope *scope) {
framework::Async([&executor, &prepared, &scope]() {
try {
executor->RunPreparedContext(prepared, scope, false, false);
} catch (std::exception &e) {
LOG(ERROR) << "run sub program error " << e.what();
}
});
}
AsyncListenAndServOp::AsyncListenAndServOp(
const std::string &type, const framework::VariableNameMap &inputs,
const framework::VariableNameMap &outputs,
const framework::AttributeMap &attrs)
: OperatorBase(type, inputs, outputs, attrs) {}
int AsyncListenAndServOp::GetSelectedPort() const {
return rpc_service_->GetSelectedPort();
}
void AsyncListenAndServOp::Stop() {
rpc_service_->Push(LISTEN_TERMINATE_MESSAGE);
server_thread_->join();
}
void AsyncListenAndServOp::RunImpl(const framework::Scope &scope,
const platform::Place &dev_place) const {
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
auto &dev_ctx = *pool.Get(dev_place);
framework::Scope &recv_scope = scope.NewScope();
if (!rpc_service_) {
std::string endpoint = Attr<std::string>("endpoint");
rpc_service_.reset(new detail::SyncGRPCServer(endpoint));
}
// grad name to block id
std::unordered_map<std::string, int32_t> grad_to_id;
std::unordered_map<int32_t, std::string> id_to_grad;
auto grad_map_str = Attr<std::vector<std::string>>("grad_to_id");
for (auto &grad_and_id : grad_map_str) {
std::vector<std::string> pieces;
split(grad_and_id, ' ', &pieces);
PADDLE_ENFORCE_EQ(pieces.size(), 2);
PADDLE_ENFORCE_EQ(grad_to_id.count(pieces[0]), 0);
int block_id = std::stoi(pieces[1]);
grad_to_id[pieces[0]] = block_id;
id_to_grad[block_id] = pieces[0];
}
auto *optimize_block = Attr<framework::BlockDesc *>(kOptimizeBlock);
auto *prefetch_block = Attr<framework::BlockDesc *>(kPrefetchBlock);
auto *program = optimize_block->Program();
size_t num_blocks = program->Size();
PADDLE_ENFORCE_GE(num_blocks, 2,
"server program should have at least 2 blocks");
framework::Executor executor(dev_place);
std::vector<int> block_list;
for (size_t blkid = 1; blkid < num_blocks; ++blkid) {
if (blkid != static_cast<size_t>(prefetch_block->ID())) {
block_list.push_back(blkid);
}
}
PADDLE_ENFORCE_EQ(grad_map_str.size(), block_list.size(),
"grad num should be equal to optimize block num");
auto optimize_prepared = executor.Prepare(*program, block_list);
std::unordered_map<std::string,
std::shared_ptr<framework::ExecutorPrepareContext>>
grad_to_prepared;
for (size_t i = 0; i < block_list.size(); ++i) {
grad_to_prepared[id_to_grad[block_list[i]]] = optimize_prepared[i];
}
rpc_service_->SetScope(&recv_scope);
rpc_service_->SetDevCtx(&dev_ctx);
// set proper fields for table lookup and update
rpc_service_->SetExecutor(&executor);
VLOG(3) << "prefetch block id is " << prefetch_block->ID();
auto prefetch_prepared = executor.Prepare(*program, prefetch_block->ID());
rpc_service_->SetPrefetchPreparedCtx(prefetch_prepared.get());
prefetch_prepared.release();
rpc_service_->SetProgram(program);
// start the server listening after all member initialized.
server_thread_.reset(new std::thread(RunServer, rpc_service_));
VLOG(3) << "wait server thread to become ready...";
sleep(5);
// Write to a file of server selected port for python use.
std::ofstream port_file;
port_file.open("/tmp/paddle.selected_port");
port_file << rpc_service_->GetSelectedPort();
port_file.close();
bool exit_flag = false;
while (!exit_flag) {
const detail::ReceivedMessage v = rpc_service_->Get();
auto recv_var_name = v.first;
if (recv_var_name == LISTEN_TERMINATE_MESSAGE) {
LOG(INFO) << "received terminate message and exit";
exit_flag = true;
break;
} else {
VLOG(3) << "received grad: " << recv_var_name;
auto var = v.second->GetVar();
if (var == nullptr) {
LOG(ERROR) << "Can not find server side var: " << recv_var_name;
PADDLE_THROW("Can not find server side var");
}
AsyncExecuteBlock(&executor, grad_to_prepared[recv_var_name].get(),
&recv_scope);
// TODO(qiao): explain why
if (var->IsType<framework::SelectedRows>()) {
var->GetMutable<framework::SelectedRows>()->mutable_rows()->clear();
}
}
if (exit_flag) {
rpc_service_->ShutDown();
break;
}
} // while(true)
}
class AsyncListenAndServOpMaker : public framework::OpProtoAndCheckerMaker {
public:
AsyncListenAndServOpMaker(OpProto *proto, OpAttrChecker *op_checker)
: OpProtoAndCheckerMaker(proto, op_checker) {
AddInput("X", "(Tensor) Variables that server recv.").AsDuplicable();
AddComment(R"DOC(
ListenAndServ operator
This operator will start a RPC server which can receive variables
from send_op and send back variables to recv_op.
)DOC");
AddAttr<std::string>("endpoint",
"(string, default 127.0.0.1:6164)"
"IP address to listen on.")
.SetDefault("127.0.0.1:6164")
.AddCustomChecker([](const std::string &ip) { return !ip.empty(); });
AddAttr<std::vector<std::string>>(
"grad_to_id(['param1@GRAD.block0:1', 'param2@GRAD.blockn:2'])",
"a map from grad name to it's optimize block id")
.SetDefault({});
AddAttr<framework::BlockDesc *>(kOptimizeBlock,
"BlockID to run on server side.");
AddAttr<framework::BlockDesc *>(kPrefetchBlock,
"prefetch block to run on server side.");
AddAttr<int>("Fanin", "How many clients send to this server.")
.SetDefault(1);
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OPERATOR(async_listen_and_serv, ops::AsyncListenAndServOp,
ops::AsyncListenAndServOpMaker);

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paddle/fluid/operators/async_listen_and_serv_op.h
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/* Copyright (c) 2016 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
#include <stdint.h>
#include <ostream>
#include <string>
#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/threadpool.h"
#include "paddle/fluid/operators/detail/async_grpc_server.h"
namespace paddle {
namespace operators {
constexpr char kOptimizeBlock[] = "OptimizeBlock";
constexpr char kPrefetchBlock[] = "PrefetchBlock";
void RunServer(std::shared_ptr<detail::SyncGRPCServer> service);
class AsyncListenAndServOp : public framework::OperatorBase {
public:
AsyncListenAndServOp(const std::string &type,
const framework::VariableNameMap &inputs,
const framework::VariableNameMap &outputs,
const framework::AttributeMap &attrs);
int GetSelectedPort() const;
void Stop() override;
void RunImpl(const framework::Scope &scope,
const platform::Place &dev_place) const override;
protected:
mutable std::shared_ptr<detail::SyncGRPCServer> rpc_service_;
mutable std::shared_ptr<std::thread> server_thread_;
};
} // namespace operators
} // namespace paddle

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paddle/fluid/operators/detail/async_grpc_server.cc
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paddle/fluid/operators/detail/async_grpc_server.h
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/* Copyright (c) 2016 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
#include <string>
#include <thread> // NOLINT
#include <utility>
#include "grpc++/grpc++.h"
#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/framework/var_type.h"
#include "paddle/fluid/operators/detail/grpc_service.h"
#include "paddle/fluid/operators/detail/send_recv.grpc.pb.h"
#include "paddle/fluid/operators/detail/send_recv.pb.h"
#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
#include "paddle/fluid/operators/detail/simple_block_queue.h"
namespace paddle {
namespace operators {
namespace detail {
typedef std::pair<std::string, std::shared_ptr<VariableResponse>>
ReceivedMessage;
typedef SimpleBlockQueue<ReceivedMessage> ReceivedQueue;
typedef std::pair<std::string, sendrecv::VariableMessage> MessageWithName;
class RequestBase;
class SyncGRPCServer final {
public:
explicit SyncGRPCServer(const std::string &address) : address_(address) {}
void RunAsyncUpdate();
void SetScope(framework::Scope *scope) { scope_ = scope; }
void SetDevCtx(const platform::DeviceContext *dev_ctx) { dev_ctx_ = dev_ctx; }
void SetProgram(framework::ProgramDesc *program) { program_ = program; }
void SetExecutor(framework::Executor *executor) { executor_ = executor; }
void SetPrefetchPreparedCtx(framework::ExecutorPrepareContext *prepared) {
prefetch_ctx_ = prepared;
}
int GetSelectedPort() { return selected_port_; }
const ReceivedMessage Get() { return this->var_recv_queue_.Pop(); }
void Push(const std::string &msg_name) {
this->var_recv_queue_.Push(std::make_pair(msg_name, nullptr));
}
void ShutDown();
protected:
void HandleRequest(::grpc::ServerCompletionQueue *cq,
const std::string &cq_name,
std::function<void()> TryToRegisterNewOne);
void TryToRegisterNewSendOne();
void TryToRegisterNewGetOne();
void TryToRegisterNewPrefetchOne();
void ShutdownQueue();
private:
std::mutex cq_mutex_;
volatile bool is_shut_down_ = false;
std::unique_ptr<::grpc::ServerCompletionQueue> cq_send_;
std::unique_ptr<::grpc::ServerCompletionQueue> cq_get_;
std::unique_ptr<::grpc::ServerCompletionQueue> cq_prefetch_;
GrpcService::AsyncService service_;
std::unique_ptr<::grpc::Server> server_;
std::string address_;
framework::Scope *scope_;
const platform::DeviceContext *dev_ctx_;
// client send variable to this queue.
ReceivedQueue var_recv_queue_;
std::unique_ptr<std::thread> t_send_;
std::unique_ptr<std::thread> t_get_;
std::unique_ptr<std::thread> t_prefetch_;
framework::ExecutorPrepareContext *prefetch_ctx_;
framework::ProgramDesc *program_;
framework::Executor *executor_;
int selected_port_;
};
}; // namespace detail
}; // namespace operators
}; // namespace paddle
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