wehub-resource-sync
48 lines
1.6 KiB
C++
48 lines
1.6 KiB
C++
/* Copyright 2023 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 "tensorflow/lite/delegates/gpu/tflite_profile.h"
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#include "absl/time/time.h"
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#include "tensorflow/lite/core/api/profiler.h"
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#include "tensorflow/lite/delegates/gpu/common/task/profiling_info.h"
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namespace tflite {
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namespace gpu {
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static void* s_profiler = nullptr;
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bool IsTfLiteProfilerActive() { return s_profiler != nullptr; }
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void SetTfLiteProfiler(void* profiler) { s_profiler = profiler; }
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void* GetTfLiteProfiler() { return s_profiler; }
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void AddTfLiteProfilerEvents(tflite::gpu::ProfilingInfo* profiling_info) {
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tflite::Profiler* profile =
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reinterpret_cast<tflite::Profiler*>(GetTfLiteProfiler());
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if (profile == nullptr) return;
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int node_index = 0;
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for (const auto& dispatch : profiling_info->dispatches) {
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profile->AddEvent(
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dispatch.label.c_str(),
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Profiler::EventType::DELEGATE_PROFILED_OPERATOR_INVOKE_EVENT,
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absl::ToDoubleMicroseconds(dispatch.duration), node_index++);
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}
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}
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} // namespace gpu
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} // namespace tflite
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