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1 /**
2  * Copyright 2021-2022 Huawei Technologies Co., Ltd
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  * http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #include "runtime/graph_scheduler/actor/profiler_actor.h"
18 #include <vector>
19 #include <memory>
20 #include <string>
21 #include "mindrt/include/async/async.h"
22 #include "utils/log_adapter.h"
23 #include "utils/file_utils.h"
24 #include "include/backend/debug/profiler/profiling.h"
25 
26 namespace mindspore {
27 namespace runtime {
28 /*
29  * Feature group: ascend step start timestamp
30  * Target device group: Ascend.
31  * Description: Add step start timestamp when profiler is started.
32  */
AscendStepStart(const std::vector<KernelGraphPtr> & graphs,std::vector<DeviceContext * > device_contexts)33 void ProfilerActor::AscendStepStart(const std::vector<KernelGraphPtr> &graphs,
34                                     std::vector<DeviceContext *> device_contexts) {
35   auto profiler = profiler::Profiler::GetInstance(kAscendDevice);
36   if (profiler == nullptr || !profiler->IsInitialized() || graphs.empty()) {
37     return;
38   }
39   if (profiler->GetEnableFlag() && !graphs[0]->IsDatasetGraph()) {
40     profile_started_ = false;
41     for (size_t i = 0; i < graphs.size(); ++i) {
42       MS_EXCEPTION_IF_NULL(graphs[i]);
43       MS_EXCEPTION_IF_NULL(device_contexts[i]);
44       if (device_contexts[i]->GetDeviceType() == device::DeviceType::kAscend && !profile_started_) {
45         device_ctx_ = device_contexts[i];
46         device_ctx_->device_res_manager_->BindDeviceToCurrentThread(false);
47         MS_LOG(INFO) << "Dot step start timestamp.";
48         profiler->StepStart(current_step++, device_contexts[i]->device_res_manager_->GetStream());
49         profile_started_ = true;
50       }
51     }
52   }
53 }
54 
55 /*
56  * Feature group: ascend step end timestamp
57  * Target device group: Ascend.
58  * Description: Add step end timestamp when profiler is end.
59  */
AscendStepEnd()60 void ProfilerActor::AscendStepEnd() {
61   auto profiler = profiler::Profiler::GetInstance(kAscendDevice);
62   if (profile_started_ && profiler != nullptr && profiler->GetEnableFlag()) {
63     MS_EXCEPTION_IF_NULL(device_ctx_);
64     device_ctx_->device_res_manager_->BindDeviceToCurrentThread(false);
65     device_ctx_->device_res_manager_->SyncAllStreams();
66     MS_LOG(INFO) << "Dot step end timestamp.";
67     profiler->StepStop();
68     profile_started_ = false;
69   }
70 }
71 
72 /*
73  * Feature group: Dump, Online Profilerger.
74  * Target device group: Ascend, GPU.
75  * Runtime category: MindRT.
76  */
ProfilerOnStepBegin(const std::vector<KernelGraphPtr> & graphs,const std::vector<AnfNodePtr> & origin_parameters_order,std::vector<DeviceContext * > device_contexts,OpContext<DeviceTensor> * const op_context,const AID *)77 void ProfilerActor::ProfilerOnStepBegin(const std::vector<KernelGraphPtr> &graphs,
78                                         const std::vector<AnfNodePtr> &origin_parameters_order,
79                                         std::vector<DeviceContext *> device_contexts,
80                                         OpContext<DeviceTensor> *const op_context, const AID *) {
81   MS_LOG(INFO) << "Profiler on step begin.";
82   auto context = MsContext::GetInstance();
83   MS_EXCEPTION_IF_NULL(context);
84   std::string backend = context->backend_policy();
85   device_ctx_ = device_contexts[0];
86   if (backend == "ge") {
87     AscendStepStart(graphs, device_contexts);
88     MS_LOG(INFO) << "Profiler_actor ProfilerOnStepBegin.";
89     return;
90   }
91 }
92 
93 /*
94  * Feature group: Dump, Online Profilerger.
95  * Target device group: Ascend, GPU and CPU.
96  * Runtime category: MindRT.
97  */
ProfilerOnStepEnd(OpContext<DeviceTensor> * const op_context,const AID *,int total_running_count_)98 void ProfilerActor::ProfilerOnStepEnd(OpContext<DeviceTensor> *const op_context, const AID *,
99                                       int total_running_count_) {
100   MS_LOG(INFO) << "Profiler on step begin.";
101   auto context = MsContext::GetInstance();
102   MS_EXCEPTION_IF_NULL(context);
103   std::string backend = context->backend_policy();
104   step_count = total_running_count_;
105   if (backend == "ge") {
106     AscendStepEnd();
107     device_ctx_->device_res_manager_->SyncAllStreams();
108     MS_LOG(INFO) << "Profiler_actor ProfilerOnStepEnd.";
109     return;
110   }
111 }
112 }  // namespace runtime
113 }  // namespace mindspore
114