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/* 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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#include "MemoryHandle.h"
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#include <cmath>
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#include "Storage.h"
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namespace paddle {
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/**
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* Calculate the actual allocation size according to the required size.
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*/
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MemoryHandle::MemoryHandle(size_t size) : size_(size), buf_(nullptr) {
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if (size_ <= 256) {
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// Memory allocation in cuda is always aligned to at least 256 bytes.
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// In many cases it is 512 bytes.
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allocSize_ = 256;
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} else if (size_ <= 512) {
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allocSize_ = 512;
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} else if (size_ <= (1 << 16)) {
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// Allocate multiple of 1024 bytes.
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allocSize_ = (size + 1023) & ~(1023);
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} else {
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allocSize_ = size_;
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}
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}
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GpuMemoryHandle::GpuMemoryHandle(size_t size) : MemoryHandle(size) {
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CHECK(size != 0) << " allocate 0 bytes";
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deviceId_ = hl_get_device();
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allocator_ = StorageEngine::singleton()->getGpuAllocator(deviceId_);
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buf_ = allocator_->alloc(allocSize_);
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}
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GpuMemoryHandle::~GpuMemoryHandle() { allocator_->free(buf_, allocSize_); }
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CpuMemoryHandle::CpuMemoryHandle(size_t size) : MemoryHandle(size) {
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CHECK(size != 0) << " allocate 0 bytes";
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allocator_ = StorageEngine::singleton()->getCpuAllocator();
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buf_ = allocator_->alloc(allocSize_);
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}
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CpuMemoryHandle::~CpuMemoryHandle() { allocator_->free(buf_, allocSize_); }
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} // namespace paddle
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