/* 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 "glog/logging.h"

#include "paddle/memory/detail/buddy_allocator.h"
#include "paddle/memory/detail/system_allocator.h"
#include "paddle/platform/gpu_info.h"

DECLARE_double(fraction_of_gpu_memory_to_use);

namespace paddle {
namespace memory {

using BuddyAllocator = detail::BuddyAllocator;

BuddyAllocator* GetCPUBuddyAllocator() {
  static detail::BuddyAllocator* a = nullptr;
  if (a == nullptr) {
    a = new detail::BuddyAllocator(new detail::CPUAllocator,
                                   platform::CpuMinChunkSize(),
                                   platform::CpuMaxChunkSize());
  }
  return a;
}

template <>
void* Alloc<platform::CPUPlace>(platform::CPUPlace place, size_t size) {
  VLOG(10) << "Allocate " << size << " bytes on " << platform::Place(place);
  void* p = GetCPUBuddyAllocator()->Alloc(size);
  VLOG(10) << "  pointer=" << p;
  return p;
}

template <>
void Free<platform::CPUPlace>(platform::CPUPlace place, void* p) {
  VLOG(10) << "Free pointer=" << p << " on " << platform::Place(place);
  GetCPUBuddyAllocator()->Free(p);
}

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

#ifdef PADDLE_WITH_CUDA

BuddyAllocator* GetGPUBuddyAllocator(int gpu_id) {
  static BuddyAllocator** as = NULL;
  if (as == NULL) {
    int gpu_num = platform::GetCUDADeviceCount();
    as = new BuddyAllocator*[gpu_num];
    for (int gpu = 0; gpu < gpu_num; gpu++) {
      as[gpu] = nullptr;
    }
  }
  platform::SetDeviceId(gpu_id);
  if (!as[gpu_id]) {
    as[gpu_id] = new BuddyAllocator(new detail::GPUAllocator,
                                    platform::GpuMinChunkSize(),
                                    platform::GpuMaxChunkSize());
    VLOG(10) << "\n\nNOTE: each GPU device use "
             << FLAGS_fraction_of_gpu_memory_to_use * 100
             << "% of GPU memory.\n"
             << "You can set GFlags environment variable '"
             << "FLAGS_fraction_of_gpu_memory_to_use"
             << "' to change the fraction of GPU usage.\n\n";
  }
  return as[gpu_id];
}

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

template <>
void* Alloc<platform::GPUPlace>(platform::GPUPlace place, size_t size) {
  auto* buddy_allocator = GetGPUBuddyAllocator(place.device);
  auto* ptr = buddy_allocator->Alloc(size);
  if (ptr == nullptr) {
    int cur_dev = platform::GetCurrentDeviceId();
    platform::SetDeviceId(place.device);
    size_t avail, total;
    platform::GpuMemoryUsage(avail, total);
    LOG(WARNING) << "Cannot allocate " << size << " bytes in GPU "
                 << place.device << ", available " << avail << " bytes";
    LOG(WARNING) << "total " << total;
    LOG(WARNING) << "GpuMinChunkSize " << platform::GpuMinChunkSize();
    LOG(WARNING) << "GpuMaxChunkSize " << platform::GpuMaxChunkSize();
    LOG(WARNING) << "GPU memory used: " << Used<platform::GPUPlace>(place);
    platform::SetDeviceId(cur_dev);
  }
  return ptr;
}

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

#endif

}  // namespace memory
}  // namespace paddle