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80 lines
2.1 KiB
80 lines
2.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/memory/detail/system_allocator.h"
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namespace paddle {
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namespace memory {
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namespace detail {
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template<typename Allocator>
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class BuddyAllocator {
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public:
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// TODO(gangliao): This is a draft, add Buddy Allocator Algorithm soon
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BuddyAllocator() {}
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~BuddyAllocator() {}
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public:
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void* Alloc(size_t size) {
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return Allocator::Alloc(size);
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}
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void Free(void*) {
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// Because all info like size are stored in meta data,
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// thus it's duplicate if add the parameter `size` in
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// `Free(void*)` interface.
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}
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size_t Used();
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public:
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BuddyAllocator(const BuddyAllocator&) = delete;
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BuddyAllocator& operator=(const BuddyAllocator&) = delete;
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private:
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size_t min_alloc_size_;
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size_t max_alloc_size_;
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private:
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std::mutex mutex_;
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};
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BuddyAllocator<CPUAllocator>* GetCPUBuddyAllocator() {
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static BuddyAllocator<CPUAllocator>* a = nullptr;
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if (a == nullptr) {
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a = new BuddyAllocator<CPUAllocator>();
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}
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return a;
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}
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#ifndef PADDLE_ONLY_CPU // The following code are for CUDA.
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BuddyAllocator<GPUAllocator>* GetGPUBuddyAllocator(int gpu_id) {
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static BuddyAllocator<GPUAllocator>** as = NULL;
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if (as == NULL) {
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int gpu_num = platform::GetDeviceCount();
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as = new BuddyAllocator<GPUAllocator>*[gpu_num];
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for (int gpu = 0; gpu < gpu_num; gpu++) {
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as[gpu] = new BuddyAllocator<GPUAllocator>();
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}
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}
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return as[gpu_id];
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}
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#endif // PADDLE_ONLY_CPU
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} // namespace detail
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} // namespace memory
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} // namespace paddle
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