memory.cc

/* 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 "paddle/memory/memory.h"
#include "paddle/memory/detail/buddy_allocator.h"
#include "paddle/memory/detail/system_allocator.h"

#include <algorithm>  // for transfrom
#include <cstring>    // for memcpy
#include <mutex>      // for call_once

#include "glog/logging.h"

namespace paddle {
namespace memory {

using BuddyAllocator = detail::BuddyAllocator;

std::once_flag cpu_alloctor_flag;
std::once_flag gpu_alloctor_flag;

BuddyAllocator* GetCPUBuddyAllocator() {
  static std::unique_ptr<BuddyAllocator, void (*)(BuddyAllocator*)> a{
      nullptr, [](BuddyAllocator* p) { delete p; }};

  std::call_once(cpu_alloctor_flag, [&]() {
    a.reset(new BuddyAllocator(new detail::CPUAllocator,
                               platform::CpuMinChunkSize(),
                               platform::CpuMaxChunkSize()));
  });

  return a.get();
}

template <>
void* Alloc<platform::CPUPlace>(platform::CPUPlace place, size_t size) {
  return GetCPUBuddyAllocator()->Alloc(size);
}

template <>
void Free<platform::CPUPlace>(platform::CPUPlace place, void* p) {
  GetCPUBuddyAllocator()->Free(p);
}

template <>
size_t Used<platform::CPUPlace>(platform::CPUPlace place) {
  return GetCPUBuddyAllocator()->Used();
}

#ifndef PADDLE_ONLY_CPU

BuddyAllocator* GetGPUBuddyAllocator(int gpu_id) {
  using BuddyAllocVec = std::vector<BuddyAllocator*>;
  static std::unique_ptr<BuddyAllocVec, void (*)(BuddyAllocVec * p)> as{
      new BuddyAllocVec, [](BuddyAllocVec* p) {
        std::for_each(p->begin(), p->end(),
                      [](BuddyAllocator* p) { delete p; });
      }};

  // GPU buddy alloctors
  auto& alloctors = *as.get();

  // GPU buddy allocator initialization
  std::call_once(gpu_alloctor_flag, [&]() {
    int gpu_num = platform::GetDeviceCount();
    alloctors.reserve(gpu_num);
    for (int gpu = 0; gpu < gpu_num; gpu++) {
      platform::SetDeviceId(gpu);
      alloctors.emplace_back(new BuddyAllocator(new detail::GPUAllocator,
                                                platform::GpuMinChunkSize(),
                                                platform::GpuMaxChunkSize()));
    }
  });

  platform::SetDeviceId(gpu_id);
  return alloctors[gpu_id];
}

template <>
void* Alloc<platform::GPUPlace>(platform::GPUPlace place, size_t size) {
  return GetGPUBuddyAllocator(place.device)->Alloc(size);
}

template <>
void Free<platform::GPUPlace>(platform::GPUPlace place, void* p) {
  GetGPUBuddyAllocator(place.device)->Free(p);
}

template <>
size_t Used<platform::GPUPlace>(platform::GPUPlace place) {
  return GetGPUBuddyAllocator(place.device)->Used();
}

#endif  // PADDLE_ONLY_CPU

}  // namespace memory
}  // namespace paddle