You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
102 lines
2.9 KiB
102 lines
2.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
|
|
|
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 "Storage.h"
|
|
#include "Allocator.h"
|
|
#include "paddle/utils/StringUtil.h"
|
|
#include "paddle/utils/Util.h"
|
|
|
|
#ifndef PADDLE_MOBILE_INFERENCE
|
|
DEFINE_int32(pool_limit_size,
|
|
536870912,
|
|
"maximum memory size managed by a memory pool, default is 512M");
|
|
#else
|
|
DEFINE_int32(pool_limit_size, 0, "default is 0");
|
|
#endif
|
|
|
|
namespace paddle {
|
|
|
|
// Initialization StorageEngine singleton.
|
|
// Other modules may rely on storage management,
|
|
// so StorageEngine need to be initialized before other modules.
|
|
static InitFunction __init_storage_engine([]() { StorageEngine::singleton(); },
|
|
std::numeric_limits<int>::max());
|
|
|
|
StorageEngine::StorageEngine() : cpuAllocator_(nullptr) {}
|
|
|
|
StorageEngine::~StorageEngine() {
|
|
delete cpuAllocator_;
|
|
for (auto it : gpuAllocator_) {
|
|
delete it;
|
|
}
|
|
}
|
|
|
|
StorageEngine* StorageEngine::singleton() {
|
|
static StorageEngine storage;
|
|
return &storage;
|
|
}
|
|
|
|
PoolAllocator* StorageEngine::getGpuAllocator(int deviceId) {
|
|
{
|
|
// if gpuAllocator_ has been constructed
|
|
ReadLockGuard guard(lock_);
|
|
if (deviceId < static_cast<int>(gpuAllocator_.size()) &&
|
|
(gpuAllocator_[deviceId] != nullptr)) {
|
|
return gpuAllocator_[deviceId];
|
|
}
|
|
}
|
|
|
|
{
|
|
// Construct gpuAllocator_
|
|
std::lock_guard<RWLock> guard(lock_);
|
|
if (deviceId >= static_cast<int>(gpuAllocator_.size())) {
|
|
gpuAllocator_.resize(deviceId + 1);
|
|
}
|
|
if (gpuAllocator_[deviceId] == nullptr) {
|
|
std::string name =
|
|
"gpu" + str::to_string(deviceId) + std::string("_pool");
|
|
gpuAllocator_[deviceId] =
|
|
new PoolAllocator(new GpuAllocator(), FLAGS_pool_limit_size, name);
|
|
}
|
|
return gpuAllocator_[deviceId];
|
|
}
|
|
}
|
|
|
|
PoolAllocator* StorageEngine::getCpuAllocator() {
|
|
{
|
|
// if cpuAllocator_ has been constructed
|
|
ReadLockGuard guard(lock_);
|
|
if (cpuAllocator_ != nullptr) {
|
|
return cpuAllocator_;
|
|
}
|
|
}
|
|
|
|
{
|
|
// Construct cpuAllocator_
|
|
std::lock_guard<RWLock> guard(lock_);
|
|
if (cpuAllocator_ == nullptr) {
|
|
if (FLAGS_use_gpu) {
|
|
cpuAllocator_ = new PoolAllocator(
|
|
new CudaHostAllocator(), FLAGS_pool_limit_size, "cuda_host_pool");
|
|
} else {
|
|
cpuAllocator_ = new PoolAllocator(
|
|
new CpuAllocator(), FLAGS_pool_limit_size, "cpu_pool");
|
|
}
|
|
}
|
|
return cpuAllocator_;
|
|
}
|
|
}
|
|
|
|
} // namespace paddle
|