61 lines
1.7 KiB
C++
61 lines
1.7 KiB
C++
/* Copyright 2019 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/profiling/memory_info.h"
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#ifdef __linux__
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#include <malloc.h>
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#include <sys/resource.h>
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#include <sys/time.h>
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#endif
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namespace tflite {
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namespace profiling {
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namespace memory {
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const int MemoryUsage::kValueNotSet = 0;
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bool MemoryUsage::IsSupported() {
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#ifdef __linux__
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return true;
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#endif
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return false;
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}
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MemoryUsage GetMemoryUsage() {
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MemoryUsage result;
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#ifdef __linux__
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rusage res;
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if (getrusage(RUSAGE_SELF, &res) == 0) {
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result.max_rss_kb = res.ru_maxrss;
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}
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const auto mem = mallinfo();
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result.total_allocated_bytes = mem.arena;
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result.in_use_allocated_bytes = mem.uordblks;
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#endif
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return result;
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}
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void MemoryUsage::AllStatsToStream(std::ostream* stream) const {
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*stream << "max resident set size = " << max_rss_kb / 1024.0
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<< " MB, total malloc-ed size = "
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<< total_allocated_bytes / 1024.0 / 1024.0
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<< " MB, in-use allocated/mmapped size = "
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<< in_use_allocated_bytes / 1024.0 / 1024.0 << " MB";
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}
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} // namespace memory
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} // namespace profiling
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} // namespace tflite
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