/* Copyright 2019 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. ==============================================================================*/ #include "tensorflow/lite/profiling/memory_info.h" #ifdef __linux__ #include <malloc.h> #include <sys/resource.h> #include <sys/time.h> #elif defined(__APPLE__) #include <mach/mach.h> #include <malloc/malloc.h> #endif namespace tflite { namespace profiling { namespace memory { const size_t MemoryUsage::kValueNotSet = …; bool MemoryUsage::IsSupported() { … } MemoryUsage GetMemoryUsage() { … } void MemoryUsage::AllStatsToStream(std::ostream* stream) const { … } } // namespace memory } // namespace profiling } // namespace tflite