xuyongfei
4 years ago
parent
452cb0dd4e
commit
a3b9218919
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/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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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*/
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#include "cxx_api/model/model_converter_utils/multi_process.h"
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#include <unistd.h>
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#include <sys/wait.h>
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#include <algorithm>
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#include <vector>
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#include <thread>
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#include "mindspore/core/utils/log_adapter.h"
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#include "cxx_api/model/model_converter_utils/shared_memory.h"
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namespace mindspore {
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namespace api {
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namespace {
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uint64_t kSharedMemorySize = 100ull << 20; // 100 MB
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}
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MultiProcess::MultiProcess() = default;
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MultiProcess::~MultiProcess() = default;
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Status MultiProcess::MainProcess(ProcessFuncCall parent_process, ProcessFuncCall child_process) {
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MS_EXCEPTION_IF_NULL(parent_process);
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MS_EXCEPTION_IF_NULL(child_process);
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Status ret;
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memory_size_ = kSharedMemorySize; // 100 MB
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SharedMemory shared_memory;
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ret = shared_memory.Create(memory_size_);
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if (!ret.IsSuccess()) {
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MS_LOG_ERROR << "Create shared memory failed";
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return ret;
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}
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pid_t pid = fork();
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if (pid < 0) {
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shared_memory.Destroy();
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MS_LOG_ERROR << "Fork process to convert model failed";
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return FAILED;
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}
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ret = shared_memory.Attach();
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if (!ret.IsSuccess()) {
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MS_LOG_ERROR << "Process attach shared memory failed, pid " << pid;
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return ret;
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}
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shmat_addr_ = shared_memory.GetSharedMemoryAddr();
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if (shmat_addr_ == nullptr) {
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MS_LOG_ERROR << "Get shared memory failed";
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return ret;
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}
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shmat_data_addr_ = shmat_addr_ + sizeof(MessageFlag) * 2;
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shmat_data_max_size_ = memory_size_ - (shmat_data_addr_ - shmat_addr_);
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MS_LOG_INFO << "Shm addr " << (uint64_t)shmat_addr_;
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if (pid == 0) {
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ChildProcess(child_process);
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shared_memory.Detach();
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MS_LOG_INFO << "Model converter: child process exit";
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exit(0);
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} else { // parent process
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ret = ParentProcess(parent_process);
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shared_memory.Detach();
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int status;
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wait(&status);
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shared_memory.Destroy();
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}
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return ret;
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}
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Status MultiProcess::ParentProcess(ProcessFuncCall parent_process) {
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auto parent_msg = reinterpret_cast<MessageFlag *>(shmat_addr_);
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auto child_msg = reinterpret_cast<MessageFlag *>(shmat_addr_ + sizeof(MessageFlag));
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send_msg_ = parent_msg;
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receive_msg_ = child_msg;
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std::thread heartbeat_thread(MultiProcess::HeartbeatThreadFunc, this);
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Status ret;
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try {
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ret = parent_process(this);
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if (!ret.IsSuccess()) {
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MS_LOG_ERROR << "Parent process process failed";
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}
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} catch (const std::runtime_error &ex) {
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MS_LOG_ERROR << "Catch parent process runtime error: " << ex.what();
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ret = FAILED;
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}
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stopped_ = true;
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send_msg_->stop = true;
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heartbeat_thread.join();
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return ret;
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}
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void MultiProcess::ChildProcess(ProcessFuncCall child_process) {
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auto parent_msg = reinterpret_cast<MessageFlag *>(shmat_addr_);
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auto child_msg = reinterpret_cast<MessageFlag *>(shmat_addr_ + sizeof(MessageFlag));
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send_msg_ = child_msg;
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receive_msg_ = parent_msg;
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std::thread heartbeat_thread(MultiProcess::HeartbeatThreadFunc, this);
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try {
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auto ret = child_process(this);
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if (!ret.IsSuccess()) {
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MS_LOG_ERROR << "Child process process failed";
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}
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} catch (const std::runtime_error &ex) {
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MS_LOG_ERROR << "Catch child process runtime error: " << ex.what();
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}
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stopped_ = true;
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send_msg_->stop = true;
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heartbeat_thread.join();
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}
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Status MultiProcess::SendMsg(const void *buffer, uint64_t msg_len) {
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MS_LOG_INFO << "Start to send message to peer process, msg len " << msg_len;
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send_msg_->msg_total_len = msg_len;
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uint64_t cur_offset = 0;
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while (msg_len > cur_offset) {
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uint64_t sub_msg_len = std::min(msg_len - cur_offset, shmat_data_max_size_);
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memcpy_s(shmat_data_addr_, shmat_data_max_size_, static_cast<const uint8_t *>(buffer) + cur_offset, sub_msg_len);
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cur_offset += sub_msg_len;
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send_msg_->msg_len = sub_msg_len;
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send_msg_->read_finish_flag = false;
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send_msg_->read_ready_flag = true;
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MS_LOG_INFO << "Send start " << cur_offset << ", msg len " << sub_msg_len << ", total len " << msg_len;
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while (!send_msg_->read_finish_flag && !peer_stopped_) {
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usleep(1000); // 1ms
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}
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if (peer_stopped_) {
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if (!send_msg_->read_finish_flag) {
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return FAILED;
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}
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break;
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}
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MS_LOG_INFO << "Send end " << cur_offset << ", msg len " << sub_msg_len << ", total len " << msg_len;
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}
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MS_LOG_INFO << "End to send message to peer process, msg len " << msg_len;
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return SUCCESS;
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}
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Status MultiProcess::ReceiveMsg(CreateBufferCall create_buffer_call) {
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uint64_t cur_offset = 0;
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uint8_t *msg_buffer = nullptr;
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uint64_t msg_len = 0;
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do {
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MS_LOG_INFO << "Receive start from " << cur_offset;
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while (!receive_msg_->read_ready_flag && !peer_stopped_) {
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usleep(1000); // 1ms
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}
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if (peer_stopped_) {
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return FAILED;
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}
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if (msg_buffer == nullptr) {
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msg_len = receive_msg_->msg_total_len;
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msg_buffer = create_buffer_call(msg_len);
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}
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memcpy_s(msg_buffer + cur_offset, msg_len - cur_offset, shmat_data_addr_, receive_msg_->msg_len);
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cur_offset += receive_msg_->msg_len;
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receive_msg_->read_ready_flag = false;
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receive_msg_->read_finish_flag = true;
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MS_LOG_INFO << "Receive end, current length " << cur_offset << ", total length " << msg_len << std::endl;
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} while (msg_len > cur_offset);
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return SUCCESS;
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}
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void MultiProcess::HeartbeatThreadFunc(MultiProcess *multi_process) { multi_process->HeartbeatThreadFuncInner(); }
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void MultiProcess::HeartbeatThreadFuncInner() {
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uint64_t last_beat_cnt = 0;
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uint64_t repeat_cnt = 0;
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while (!stopped_) {
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if (receive_msg_->stop) {
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peer_stopped_ = true;
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MS_LOG_WARNING << "Peer stopped";
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break;
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}
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uint64_t heartbeat_gap = receive_msg_->heartbeat - last_beat_cnt;
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if (heartbeat_gap > 0 && heartbeat_gap < 1024) {
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last_beat_cnt = receive_msg_->heartbeat;
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repeat_cnt = 0;
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} else {
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repeat_cnt++;
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if (repeat_cnt > 30) { // 30*100ms = 3s no reply
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peer_stopped_ = true;
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MS_LOG_WARNING << "Peer stopped";
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break;
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}
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}
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send_msg_->heartbeat += 1;
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usleep(100000); // sleep 100 ms
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}
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}
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} // namespace api
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} // namespace mindspore
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@ -0,0 +1,68 @@
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/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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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*/
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#ifndef MINDSPORE_CCSRC_CXXAPI_MULTI_PROCESS_H
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#define MINDSPORE_CCSRC_CXXAPI_MULTI_PROCESS_H
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#include <iostream>
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#include <functional>
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#include "include/api/status.h"
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namespace mindspore {
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namespace api {
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struct MessageFlag {
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uint64_t heartbeat = 0;
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uint64_t stop = false;
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uint64_t msg_len = 0;
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uint64_t msg_total_len = 0;
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uint64_t read_ready_flag = false;
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uint64_t read_finish_flag = false;
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};
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class MultiProcess;
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using ProcessFuncCall = std::function<Status(MultiProcess *multi_process)>;
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using CreateBufferCall = std::function<uint8_t *(size_t msg_len)>;
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class MultiProcess {
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public:
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MultiProcess();
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~MultiProcess();
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Status MainProcess(ProcessFuncCall parent_process, ProcessFuncCall child_process);
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Status SendMsg(const void *buffer, uint64_t msg_len);
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Status ReceiveMsg(CreateBufferCall create_buffer_call);
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private:
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uint8_t *shmat_addr_ = nullptr;
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uint8_t *shmat_data_addr_ = nullptr;
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uint64_t shmat_data_max_size_ = 0;
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uint64_t memory_size_ = 0;
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bool peer_stopped_ = false;
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bool stopped_ = false;
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MessageFlag *send_msg_ = nullptr;
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MessageFlag *receive_msg_ = nullptr;
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static void HeartbeatThreadFunc(MultiProcess *multi_process);
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void HeartbeatThreadFuncInner();
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Status ParentProcess(ProcessFuncCall parent_process);
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void ChildProcess(ProcessFuncCall child_process);
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};
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} // namespace api
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_CXXAPI_MULTI_PROCESS_H
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@ -0,0 +1,69 @@
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/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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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*/
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#include "cxx_api/model/model_converter_utils/shared_memory.h"
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#include <sys/shm.h>
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#include <sys/stat.h>
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#include <string>
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#include "mindspore/core/utils/log_adapter.h"
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namespace mindspore {
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namespace api {
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Status SharedMemory::Create(uint64_t memory_size) {
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auto access_mode = S_IRUSR | S_IWUSR | S_IROTH | S_IWOTH | S_IRGRP | S_IWGRP;
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shm_id_ = shmget(IPC_PRIVATE, memory_size, IPC_CREAT | IPC_EXCL | access_mode);
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if (shm_id_ == -1) {
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MS_LOG_ERROR << "Shared memory creation failed. Errno " + std::to_string(errno);
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return FAILED;
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}
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MS_LOG_INFO << "shmget success, shm id " << shm_id_;
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return SUCCESS;
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}
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Status SharedMemory::Attach() {
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void *shmat_addr = shmat(shm_id_, nullptr, 0);
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if (shmat_addr == reinterpret_cast<void *>(-1)) {
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MS_LOG_ERROR << "Shared memory attach failed. Errno " + std::to_string(errno);
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return FAILED;
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}
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shmat_addr_ = reinterpret_cast<uint8_t *>(shmat_addr);
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return SUCCESS;
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}
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void SharedMemory::Detach() {
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if (shmat_addr_) {
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auto err = shmdt(shmat_addr_);
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if (err == -1) {
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MS_LOG_ERROR << "Shared memory detach failed. Errno " + std::to_string(errno);
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return;
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}
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}
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shmat_addr_ = nullptr;
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}
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void SharedMemory::Destroy() {
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// Remove the shared memory and never mind about the return code.
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auto err = shmctl(shm_id_, IPC_RMID, nullptr);
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if (err == -1) {
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std::string errMsg = "Unable to remove shared memory with id " + std::to_string(shm_id_);
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errMsg += ". Errno :" + std::to_string(errno);
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errMsg += "\nPlesae remove it manually using ipcrm -m command";
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MS_LOG_ERROR << errMsg;
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}
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}
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} // namespace api
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} // namespace mindspore
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@ -0,0 +1,41 @@
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/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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.
|
||||||
|
* See the License for the specific language governing permissions and
|
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|
* limitations under the License.
|
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*/
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#ifndef MINDSPORE_CCSRC_CXXAPI_SHARED_MEMORY_H
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#define MINDSPORE_CCSRC_CXXAPI_SHARED_MEMORY_H
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#include <iostream>
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#include "include/api/status.h"
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namespace mindspore {
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namespace api {
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class SharedMemory {
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public:
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Status Create(uint64_t memory_size);
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Status Attach();
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||||||
|
void Detach();
|
||||||
|
void Destroy();
|
||||||
|
uint8_t *GetSharedMemoryAddr() { return shmat_addr_; }
|
||||||
|
|
||||||
|
private:
|
||||||
|
int shm_id_ = -1;
|
||||||
|
uint8_t *shmat_addr_ = nullptr;
|
||||||
|
};
|
||||||
|
|
||||||
|
} // namespace api
|
||||||
|
} // namespace mindspore
|
||||||
|
|
||||||
|
#endif // MINDSPORE_CCSRC_CXXAPI_SHARED_MEMORY_H
|
||||||
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,85 @@
|
|||||||
|
/**
|
||||||
|
* Copyright 2020 Huawei Technologies Co., Ltd
|
||||||
|
*
|
||||||
|
* 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.
|
||||||
|
*/
|
||||||
|
#ifndef MINDSPORE_CCSRC_SESSION_SESSION_H
|
||||||
|
#define MINDSPORE_CCSRC_SESSION_SESSION_H
|
||||||
|
|
||||||
|
#include <vector>
|
||||||
|
#include <string>
|
||||||
|
#include <unordered_map>
|
||||||
|
#include <utility>
|
||||||
|
#include <memory>
|
||||||
|
#include <map>
|
||||||
|
|
||||||
|
#include "backend/session/session_basic.h"
|
||||||
|
#include "ir/anf.h"
|
||||||
|
#include "include/api/status.h"
|
||||||
|
#include "cxx_api/model/model_impl.h"
|
||||||
|
|
||||||
|
#ifdef ENABLE_D
|
||||||
|
#include "runtime/context.h"
|
||||||
|
#endif
|
||||||
|
|
||||||
|
namespace mindspore {
|
||||||
|
namespace api {
|
||||||
|
class MsModel : public ModelImpl {
|
||||||
|
public:
|
||||||
|
explicit MsModel(uint32_t device_id);
|
||||||
|
~MsModel();
|
||||||
|
|
||||||
|
Status LoadModel(const Buffer &model_data, ModelType type,
|
||||||
|
const std::map<std::string, std::string> &options) override;
|
||||||
|
Status LoadModel(const std::string &file_name, ModelType type,
|
||||||
|
const std::map<std::string, std::string> &options) override;
|
||||||
|
Status UnloadModel() override;
|
||||||
|
|
||||||
|
Status Train(const DataSet &dataset, std::map<std::string, Buffer> *outputs) override;
|
||||||
|
Status Eval(const DataSet &dataset, std::map<std::string, Buffer> *outputs) override;
|
||||||
|
Status Predict(const std::map<std::string, Buffer> &inputs, std::map<std::string, Buffer> *outputs) override;
|
||||||
|
|
||||||
|
Status GetInputsInfo(std::vector<Tensor> *tensor_list) const override;
|
||||||
|
Status GetOutputsInfo(std::vector<Tensor> *tensor_list) const override;
|
||||||
|
|
||||||
|
Status InitEnv(const std::unordered_map<std::string, std::string> &other_options);
|
||||||
|
Status FinalizeEnv();
|
||||||
|
|
||||||
|
private:
|
||||||
|
std::shared_ptr<session::SessionBasic> session_impl_ = nullptr;
|
||||||
|
uint32_t graph_id_;
|
||||||
|
std::string device_type_;
|
||||||
|
int32_t device_id_ = 0;
|
||||||
|
#ifdef ENABLE_D
|
||||||
|
rtContext_t context_ = nullptr;
|
||||||
|
#endif
|
||||||
|
std::vector<tensor::TensorPtr> inputs_;
|
||||||
|
std::vector<tensor::TensorPtr> outputs_;
|
||||||
|
std::vector<std::string> input_names_;
|
||||||
|
std::vector<std::string> output_names_;
|
||||||
|
bool load_flag_ = false;
|
||||||
|
|
||||||
|
std::shared_ptr<FuncGraph> LoadModel(const char *model_buf, size_t size, const std::string &device);
|
||||||
|
Buffer ReadFile(const std::string &file);
|
||||||
|
static void RegAllOp();
|
||||||
|
Status CompileGraph(std::shared_ptr<FuncGraph> funcGraphPtr);
|
||||||
|
Status CheckModelInputs(uint32_t graph_id, const std::vector<tensor::TensorPtr> &inputs) const;
|
||||||
|
std::vector<tensor::TensorPtr> RunGraph(const std::vector<tensor::TensorPtr> &inputs);
|
||||||
|
Status ExecuteModel(const std::vector<Buffer> &inputs, std::vector<Buffer> *outputs);
|
||||||
|
};
|
||||||
|
|
||||||
|
API_REG_MODEL(AscendMS, MsModel);
|
||||||
|
|
||||||
|
} // namespace api
|
||||||
|
} // namespace mindspore
|
||||||
|
#endif // MINDSPORE_CCSRC_SESSION_SESSION_BASIC_H
|
||||||
Loading…
Reference in new issue