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/* Copyright 2015 Google Inc. 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/core/framework/tracking_allocator.h"
#include "tensorflow/core/platform/logging.h"
namespace tensorflow {
TrackingAllocator::TrackingAllocator(Allocator* allocator)
: allocator_(allocator),
ref_(1),
allocated_(0),
high_watermark_(0),
total_bytes_(0) {}
void* TrackingAllocator::AllocateRaw(size_t alignment, size_t num_bytes) {
void* ptr = allocator_->AllocateRaw(alignment, num_bytes);
// If memory is exhausted AllocateRaw returns nullptr, and we should
// pass this through to the caller
if (nullptr == ptr) {
return ptr;
}
if (allocator_->TracksAllocationSizes()) {
size_t allocated_bytes = allocator_->AllocatedSize(ptr);
{
mutex_lock lock(mu_);
allocated_ += allocated_bytes;
high_watermark_ = std::max(high_watermark_, allocated_);
total_bytes_ += allocated_bytes;
++ref_;
}
} else {
mutex_lock lock(mu_);
total_bytes_ += num_bytes;
++ref_;
}
return ptr;
}
void TrackingAllocator::DeallocateRaw(void* ptr) {
// freeing a null ptr is a no-op
if (nullptr == ptr) {
return;
}
bool should_delete;
// fetch the following outside the lock in case the call to
// AllocatedSize is slow
bool tracks_allocation_sizes = allocator_->TracksAllocationSizes();
size_t allocated_bytes = 0;
if (tracks_allocation_sizes) {
allocated_bytes = allocator_->AllocatedSize(ptr);
}
Allocator* allocator = allocator_;
{
mutex_lock lock(mu_);
if (tracks_allocation_sizes) {
CHECK_GE(allocated_, allocated_bytes);
allocated_ -= allocated_bytes;
}
should_delete = UnRef();
}
allocator->DeallocateRaw(ptr);
if (should_delete) {
delete this;
}
}
bool TrackingAllocator::TracksAllocationSizes() {
return allocator_->TracksAllocationSizes();
}
size_t TrackingAllocator::RequestedSize(void* ptr) {
return allocator_->RequestedSize(ptr);
}
size_t TrackingAllocator::AllocatedSize(void* ptr) {
return allocator_->AllocatedSize(ptr);
}
std::pair<size_t, size_t> TrackingAllocator::GetSizesAndUnRef() {
size_t high_watermark;
size_t total_bytes;
bool should_delete;
{
mutex_lock lock(mu_);
high_watermark = high_watermark_;
total_bytes = total_bytes_;
should_delete = UnRef();
}
if (should_delete) {
delete this;
}
return std::make_pair(total_bytes, high_watermark);
}
bool TrackingAllocator::UnRef() {
CHECK_GE(ref_, 1);
--ref_;
return (ref_ == 0);
}
} // end namespace tensorflow
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