/* Copyright 2022 The TensorFlow 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. ==============================================================================*/ #ifndef TENSORFLOW_LITE_PROFILING_TELEMETRY_PROFILER_H_ #define TENSORFLOW_LITE_PROFILING_TELEMETRY_PROFILER_H_ #include <cstdint> #include "tensorflow/lite/core/api/profiler.h" #include "tensorflow/lite/profiling/telemetry/c/profiler.h" #include "tensorflow/lite/profiling/telemetry/c/telemetry_setting.h" #include "tensorflow/lite/profiling/telemetry/telemetry_status.h" namespace tflite::telemetry { // Telemetry profiler interface. // When installed, the telemetry profilers accepts profiler events exported from // TFLite runtime profiler instrumentation points, interprets the events // based on the event type and forward to corresponding `Report` function. // The implementation of the `Report` functions are responsible for dumping the // profiling events to the data sink. // The implementation of TelemetryProfiler is required to be thread safe. class TelemetryProfiler : public Profiler { … }; // Creates a concrete TelemetryProfiler that wraps the // `TfLiteTelemetryProfilerStruct` C API. TelemetryProfiler* MakeTfLiteTelemetryProfiler( TfLiteTelemetryProfilerStruct* profiler); } // namespace tflite::telemetry #endif // TENSORFLOW_LITE_PROFILING_TELEMETRY_PROFILER_H_