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301 lines
11 KiB
301 lines
11 KiB
5 years ago
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/**
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* Copyright 2019-2020 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 "session/inner_session.h"
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#include <map>
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#include <memory>
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#include <vector>
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#include "common/dump/dump_properties.h"
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#include "common/util.h"
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#include "framework/common/debug/ge_log.h"
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#include "graph/ge_context.h"
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#include "graph/ge_global_options.h"
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#include "graph/ge_local_context.h"
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#include "graph/load/new_model_manager/model_manager.h"
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#include "graph/manager/graph_var_manager.h"
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#include "graph/utils/tensor_adapter.h"
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#include "runtime/mem.h"
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namespace ge {
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namespace {
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const int32_t kDumpStatus = 0;
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Status CheckReuseMemoryOption(const std::map<string, string> &options) {
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auto iter = options.find(OPTION_EXEC_DISABLE_REUSED_MEMORY);
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if (iter != options.end()) {
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if (iter->second == "0") {
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GELOGD("%s=0, reuse memory is open", OPTION_EXEC_DISABLE_REUSED_MEMORY);
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} else if (iter->second == "1") {
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GELOGD("%s=1, reuse memory is close", OPTION_EXEC_DISABLE_REUSED_MEMORY);
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} else {
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GELOGE(PARAM_INVALID, "option %s=%s is invalid", OPTION_EXEC_DISABLE_REUSED_MEMORY, iter->second.c_str());
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return FAILED;
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}
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}
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return SUCCESS;
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}
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} // namespace
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static std::mutex mutex_; // BuildGraph and RunGraph use
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bool InnerSession::is_dump_server_inited_ = false;
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InnerSession::InnerSession(uint64_t session_id, const std::map<string, string> &options)
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: init_flag_(false), session_id_(session_id), options_(options), graph_manager_(domi::GetContext()) {}
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Status InnerSession::Initialize() {
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if (init_flag_) {
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GELOGW("[InnerSession:%lu] session already initialize.", session_id_);
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return SUCCESS;
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}
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// If the global options and the session options are duplicated, the session options is preferred.
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auto all_options = options_;
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all_options.insert(GetMutableGlobalOptions().begin(), GetMutableGlobalOptions().end());
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Status ret = CheckReuseMemoryOption(all_options);
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] check reuse memory option failed.", session_id_);
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return ret;
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}
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UpdateThreadContext(std::map<std::string, std::string>{});
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GE_CHK_RT_RET(rtSetDevice(GetContext().DeviceId()));
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DumpProperties dump_properties;
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dump_properties.InitByOptions();
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ret = graph_manager_.Initialize(options_);
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] initialize failed.", session_id_);
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return ret;
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}
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ret = VarManager::Instance(session_id_)->SetMemoryMallocSize(all_options);
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if (ret != SUCCESS) {
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GELOGE(ret, "failed to set malloc size");
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(void)graph_manager_.Finalize();
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GE_CHK_RT(rtDeviceReset(static_cast<int32_t>(GetContext().DeviceId())));
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return ret;
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}
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int32_t version = static_cast<int32_t>(SessionVersion::ClOUD_VERSION);
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const int DEFAULT_DEVICE_ID = 0;
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const int DEFAULT_JOB_ID = 0;
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ret = VarManager::Instance(session_id_)->Init(version, session_id_, DEFAULT_DEVICE_ID, DEFAULT_JOB_ID);
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if (ret != SUCCESS) {
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GELOGE(ret, "failed to init session instance");
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}
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init_flag_ = true;
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return SUCCESS;
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}
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Status InnerSession::Finalize() {
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std::lock_guard<std::mutex> lock(resource_mutex_);
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if (!init_flag_) {
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GELOGW("[InnerSession:%lu] session does not initialize.", session_id_);
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return SUCCESS;
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}
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UpdateThreadContext(std::map<std::string, std::string>{});
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Status ret = graph_manager_.Finalize();
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if (ret != SUCCESS) {
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// Subsequent code execution is required, so no return is required
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GELOGE(ret, "[InnerSession:%lu] finalize failed.", session_id_);
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}
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ModelManager::GetInstance()->DestroyAicpuSession(session_id_);
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init_flag_ = false;
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// release var memory
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GELOGI("VarManager free var memory.");
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(void)VarManager::Instance(session_id_)->FreeVarMemory();
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GE_CHK_RT(rtDeviceReset(static_cast<int32_t>(GetContext().DeviceId())));
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return ret;
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}
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Status InnerSession::GetVariable(const std::string &name, Tensor &val) {
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UpdateThreadContext(std::map<std::string, std::string>{});
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return graph_manager_.GetVariable(name, val);
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}
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Status InnerSession::AddGraph(uint32_t graph_id, const Graph &graph) {
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std::map<std::string, std::string> options;
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return AddGraph(graph_id, graph, options);
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}
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Status InnerSession::AddGraph(uint32_t graph_id, const Graph &graph,
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const std::map<std::string, std::string> &options) {
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std::lock_guard<std::mutex> lock(resource_mutex_);
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if (!init_flag_) {
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GELOGE(GE_SESS_INIT_FAILED, "[InnerSession:%lu] initialize failed.", session_id_);
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return GE_SESS_INIT_FAILED;
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}
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UpdateThreadContext(options);
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Status ret = graph_manager_.AddGraph(graph_id, graph, options);
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] add graph %u failed.", session_id_, graph_id);
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return ret;
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}
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GELOGI("[InnerSession:%lu] add graph success, graph_id=%u.", session_id_, graph_id);
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return SUCCESS;
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}
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Status InnerSession::RunGraph(uint32_t graph_id, const std::vector<Tensor> &inputs, std::vector<Tensor> &outputs) {
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GELOGI("[InnerSession:%lu] run graph on session, graph_id=%u.", session_id_, graph_id);
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if (mutex_.try_lock()) {
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std::lock_guard<std::mutex> lock(mutex_, std::adopt_lock);
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if (!init_flag_) {
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GELOGE(GE_SESS_INIT_FAILED, "[InnerSession:%lu] initialize failed.", session_id_);
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return GE_SESS_INIT_FAILED;
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}
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UpdateThreadContext(graph_id);
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vector<GeTensor> geInputs;
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for (auto &item : inputs) {
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geInputs.push_back(TensorAdapter::AsGeTensor(item));
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}
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vector<GeTensor> geOutputs;
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Status ret = graph_manager_.RunGraph(graph_id, geInputs, geOutputs, session_id_);
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domi::GetContext().out_nodes_map.clear();
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domi::GetContext().user_out_nodes.clear();
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] run graph failed, graph_id=%u.", session_id_, graph_id);
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return ret;
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}
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outputs.clear();
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for (auto &item : geOutputs) {
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outputs.push_back(TensorAdapter::AsTensor(item));
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}
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GELOGI("[InnerSession:%lu] run graph success, graph_id=%u.", session_id_, graph_id);
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return SUCCESS;
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} else {
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GELOGE(GE_SESS_ALREADY_RUNNING, "[InnerSession:%lu] run graph failed, graph_id=%u.", session_id_, graph_id);
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return GE_SESS_ALREADY_RUNNING;
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}
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}
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Status InnerSession::RemoveGraph(uint32_t graph_id) {
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std::lock_guard<std::mutex> lock(resource_mutex_);
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if (!init_flag_) {
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GELOGE(GE_SESS_INIT_FAILED, "[InnerSession:%lu] initialize failed.", session_id_);
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return GE_SESS_INIT_FAILED;
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}
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UpdateThreadContext(graph_id);
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Status ret = graph_manager_.RemoveGraph(graph_id);
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] remove graph failed, graph_id=%u.", session_id_, graph_id);
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return ret;
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}
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GELOGI("[InnerSession:%lu] remove graph success, graph_id=%u.", session_id_, graph_id);
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return SUCCESS;
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}
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Status InnerSession::RegisterCallBackFunc(
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const std::string &key, const std::function<Status(uint32_t, const std::map<std::string, ge::Tensor> &)> &callback) {
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std::lock_guard<std::mutex> lock(resource_mutex_);
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if (!init_flag_) {
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GELOGE(GE_SESS_INIT_FAILED, "[InnerSession:%lu] initialize failed.", session_id_);
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return GE_SESS_INIT_FAILED;
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}
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UpdateThreadContext(std::map<std::string, std::string>{});
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Status ret = graph_manager_.RegisterCallBackFunc(key, callback);
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] register %s callback function failed.", session_id_, key.c_str());
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return ret;
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}
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GELOGI("[InnerSession:%lu] register %s callback function success.", session_id_, key.c_str());
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return SUCCESS;
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}
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Status InnerSession::BuildGraph(uint32_t graph_id, const std::vector<InputTensorInfo> &inputs) {
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UpdateThreadContext(graph_id);
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GELOGI("[InnerSession:%lu] build graph on session, graph_id=%u.", session_id_, graph_id);
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std::vector<ge::GeTensor> ge_inputs;
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for (auto const &input : inputs) {
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std::vector<int64_t> input_dims;
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std::transform(input.dims.begin(), input.dims.end(), std::back_inserter(input_dims),
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[](int64_t x) -> int64_t { return x; });
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GeShape input_shape(input_dims);
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GeTensorDesc input_tensor_desc;
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input_tensor_desc.SetShape(input_shape);
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input_tensor_desc.SetDataType(static_cast<ge::DataType>(input.data_type));
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ge_inputs.emplace_back(input_tensor_desc);
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}
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GeRootModelPtr ge_root_model = nullptr;
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Status ret = graph_manager_.BuildGraph(graph_id, ge_inputs, ge_root_model, session_id_, true);
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] build graph failed, graph_id=%u.", session_id_, graph_id);
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return ret;
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}
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GELOGI("[InnerSession:%lu] build graph success, graph_id=%u.", session_id_, graph_id);
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return ret;
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}
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Status InnerSession::RunGraphAsync(uint32_t graph_id, const std::vector<InputTensorInfo> &inputs,
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RunAsyncCallback callback) {
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UpdateThreadContext(graph_id);
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GELOGI("[InnerSession:%lu] run graph on session, graph_id=%u.", session_id_, graph_id);
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Status ret = graph_manager_.RunGraphAsync(graph_id, inputs, session_id_, callback);
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if (ret != SUCCESS) {
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GELOGE(ret, "[InnerSession:%lu] run graph failed, graph_id=%u.", session_id_, graph_id);
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return ret;
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}
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GELOGI("[InnerSession:%lu] run graph success, graph_id=%u.", session_id_, graph_id);
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return ret;
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}
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const GraphManager &InnerSession::getGraphManagerObj() const { return graph_manager_; }
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void InnerSession::UpdateThreadContext(const std::map<std::string, std::string> &options) {
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GetThreadLocalContext().SetGlobalOption(GetMutableGlobalOptions());
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GetThreadLocalContext().SetSessionOption(options_);
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GetThreadLocalContext().SetGraphOption(options);
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GetContext().SetSessionId(session_id_);
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}
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void InnerSession::UpdateThreadContext(uint32_t graph_id) {
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auto options = graph_manager_.GetGraphOptions(graph_id);
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if (options == nullptr) {
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GELOGW("graph level options is null.");
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UpdateThreadContext(std::map<std::string, std::string>{});
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} else {
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UpdateThreadContext(*options);
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}
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}
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bool InnerSession::IsGraphNeedRebuild(uint32_t graph_id) {
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UpdateThreadContext(graph_id);
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return graph_manager_.IsGraphNeedRebuild(graph_id);
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}
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Status InnerSession::GetAllVariables(std::map<std::string, GeTensorDesc> &all_variables) {
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return VarManager::Instance(session_id_)->GetAllVariables(all_variables);
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}
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Status InnerSession::GenCheckPointGraph(const std::map<std::string, GeTensorDesc> &all_variables, Graph &graph) {
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return graph_manager_.GenCheckPointGraph(all_variables, graph);
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}
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Status InnerSession::SaveVariables(const Graph &graph, const std::vector<std::string> &var_names,
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const std::vector<Tensor> &outputs, std::vector<Tensor> &var_values) {
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return graph_manager_.SaveVariables(graph, var_names, outputs, var_values);
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}
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4 years ago
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5 years ago
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} // namespace ge
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