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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2018 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.
*/
// NOTE To minimize diff with upstream tensorflow, disable clang-format
// clang-format off
// NOTE This header is derived from the following file (in TensorFlow v1.12)
// 'externals/tensorflow/tensorflow/lite/profiling/time.cpp
#include "profiling/time.h"
#if defined(_MSC_VER)
#include <chrono> // NOLINT(build/c++11)
#else
#include <time.h>
#endif
namespace tflite {
namespace profiling {
namespace time {
#if defined(_MSC_VER)
uint64_t NowMicros() {
return std::chrono::duration_cast<std::chrono::microseconds>(
std::chrono::system_clock::now().time_since_epoch())
.count();
}
#else
uint64_t NowMicros() {
struct timespec ts;
clock_gettime(CLOCK_MONOTONIC, &ts);
return static_cast<uint64_t>(ts.tv_nsec) / 1e3 + static_cast<uint64_t>(ts.tv_sec) * 1e6;
}
#endif // defined(_MSC_VER)
} // namespace time
} // namespace profiling
} // namespace tflite
// clang-format on
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