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/*
* SPDX-FileCopyrightText: Copyright 2021-2022 Arm Limited and/or its affiliates <open-source-office@arm.com>
*
* SPDX-License-Identifier: Apache-2.0
*
* 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
*
* 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 LAYER_BY_LAYER_PROFILER_H
#define LAYER_BY_LAYER_PROFILER_H
#include "EventRecorder.h"
#include "tensorflow/lite/kernels/internal/compatibility.h"
#include "tensorflow/lite/micro/micro_profiler_interface.h"
#include <memory>
#include <vector>
// NOTE: This profiler only works on systems with 1 NPU due to the use of
// ethosu_reserve_driver().
namespace tflite {
class LayerByLayerProfiler : public MicroProfilerInterface {
public:
enum Backend { PRINTF, EVENT_RECORDER };
LayerByLayerProfiler(size_t max_events = 200,
Backend backend = PRINTF,
int32_t event_id = EventID(EventLevelError, EvtStatistics_No, EventRecordNone));
uint32_t BeginEvent(const char *tag);
void EndEvent(uint32_t event_handle);
int32_t GetTotalTicks() const;
void Log() const;
private:
std::unique_ptr<const char *[]> tags_;
std::unique_ptr<uint64_t[]> start_ticks_;
std::unique_ptr<uint64_t[]> end_ticks_;
size_t max_events_;
Backend backend;
int32_t event_id;
size_t num_events_;
TF_LITE_REMOVE_VIRTUAL_DELETE;
};
} // namespace tflite
#endif
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