memory.cc 2.8 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
/* 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"
L
liaogang 已提交
16 17 18
#include "paddle/memory/detail/buddy_allocator.h"
#include "paddle/memory/detail/system_allocator.h"
#include "paddle/platform/assert.h"
19

L
liaogang 已提交
20
#include <boost/variant.hpp>
21

22 23 24
namespace paddle {
namespace memory {

L
liaogang 已提交
25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53
detail::BuddyAllocator* GetCPUBuddyAllocator() {
  static detail::BuddyAllocator* a = nullptr;
  if (a == nullptr) {
    a = new detail::BuddyAllocator(new detail::CPUAllocator,
                                   platform::CpuMinChunkSize(),
                                   platform::CpuMaxChunkSize());
  }
   return a;
}

#ifndef PADDLE_ONLY_CPU  // The following code are for CUDA.

detail::BuddyAllocator* GetGPUBuddyAllocator(int gpu_id) {
  static detail::BuddyAllocator** as = NULL;
  if (as == NULL) {
    int gpu_num = platform::GpuDeviceCount();
    as = new detail::BuddyAllocator*[gpu_num];
    for (int gpu = 0; gpu < gpu_num; gpu++) {
      platform::SetDeviceId(gpu);
      as[gpu] = new detail::BuddyAllocator(new detail::GPUAllocator,
                                           platform::GpuMinChunkSize(),
                                           platform::GpuMaxChunkSize());
    }
  }
  return as[gpu_id];
}

#endif  // PADDLE_ONLY_CPU

L
liaogang 已提交
54
void* Alloc(platform::Place pl, size_t size) {
55 56
#ifndef PADDLE_ONLY_CPU
  if (paddle::platform::is_gpu_place(pl)) {
L
liaogang 已提交
57
    size_t gpu_id = boost::get<platform::GPUPlace>(pl).device;
L
liaogang 已提交
58
    return GetGPUBuddyAllocator(gpu_id)->Alloc(size);
59 60 61
  }
#endif  // PADDLE_ONLY_CPU
  PADDLE_ASSERT(paddle::platform::is_cpu_place(pl));
L
liaogang 已提交
62
  return GetCPUBuddyAllocator()->Alloc(size);
63 64 65 66 67
}

void Free(paddle::platform::Place pl, void* p) {
#ifndef PADDLE_ONLY_CPU
  if (paddle::platform::is_gpu_place(pl)) {
L
liaogang 已提交
68
    size_t gpu_id = boost::get<platform::GPUPlace>(pl).device;
L
liaogang 已提交
69 70
    GetGPUBuddyAllocator(gpu_id)->Free(p);
    return;
71 72 73
  }
#endif  // PADDLE_ONLY_CPU
  PADDLE_ASSERT(paddle::platform::is_cpu_place(pl));
L
liaogang 已提交
74
  GetCPUBuddyAllocator()->Free(p);
75 76 77 78 79
}

size_t Used(paddle::platform::Place pl) {
#ifndef PADDLE_ONLY_CPU
  if (paddle::platform::is_gpu_place(pl)) {
L
liaogang 已提交
80
    size_t gpu_id = boost::get<platform::GPUPlace>(pl).device;
L
liaogang 已提交
81
    return GetGPUBuddyAllocator(gpu_id)->Used();
82 83 84
  }
#endif  // PADDLE_ONLY_CPU
  PADDLE_ASSERT(paddle::platform::is_cpu_place(pl));
L
liaogang 已提交
85
  return GetCPUBuddyAllocator()->Used();
86 87 88 89
}

}  // namespace memory
}  // namespace paddle