STT-tensorflow/tensorflow/stream_executor/allocator_stats.cc
A. Unique TensorFlower 7ba5af361b Export memory fragmentation in memstats.
PiperOrigin-RevId: 306580752
Change-Id: I68e733c099e93957eb1ccb728077563f0c1b3d2d
2020-04-14 22:18:56 -07:00

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1.4 KiB
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/* 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/stream_executor/allocator_stats.h"
#include "absl/strings/str_format.h"
namespace stream_executor {
std::string AllocatorStats::DebugString() const {
return absl::StrFormat(
"Limit: %20lld\n"
"InUse: %20lld\n"
"MaxInUse: %20lld\n"
"NumAllocs: %20lld\n"
"MaxAllocSize: %20lld\n"
"Reserved: %20lld\n"
"PeakReserved: %20lld\n"
"LargestFreeBlock: %20lld\n",
this->bytes_limit ? *this->bytes_limit : 0, this->bytes_in_use,
this->peak_bytes_in_use, this->num_allocs, this->largest_alloc_size,
this->bytes_reserved, this->peak_bytes_reserved,
this->largest_free_block_bytes);
}
} // namespace stream_executor