* Copyright (c) 2024 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#include "buffer_device.h"
#include <stdexcept>
#include <acl/acl_rt.h>
#include <atb/utils/log.h>
#include "utils.h"
namespace TorchAtb {
constexpr uint64_t KB = 1024;
constexpr uint64_t DIM_NUM_2 = 2;
BufferDevice::BufferDevice(uint64_t bufferSize)
{
ATB_LOG(INFO) << "BufferDevice::BufferDevice called, bufferSize:" << bufferSize;
if (bufferSize > 0) {
CreateTorchTensorWithSize(bufferSize);
}
}
BufferDevice::~BufferDevice()
{
Free();
}
void *BufferDevice::GetBuffer(uint64_t bufferSize)
{
if (bufferSize <= bufferSize_) {
ATB_LOG(INFO) << "BufferDevice::GetBuffer bufferSize:" << bufferSize << " <= bufferSize_:" << bufferSize_
<< ", not new device mem";
return buffer_;
}
CreateTorchTensorWithSize(bufferSize);
return buffer_;
}
void BufferDevice::CreateTorchTensorWithSize(const uint64_t bufferSize)
{
ATB_LOG(INFO) << "CreateTorchTensorWithSize bufferSize:" << bufferSize;
atb::TensorDesc tensorDesc;
tensorDesc.dtype = ACL_UINT8;
tensorDesc.format = ACL_FORMAT_ND;
tensorDesc.shape.dimNum = 1;
tensorDesc.shape.dims[0] = (bufferSize + KB - 1) / KB * KB;
torchTensor_ = Utils::CreateTorchTensorFromTensorDesc(tensorDesc);
buffer_ = torchTensor_.data_ptr();
if (buffer_ == nullptr) {
ATB_LOG(ERROR) << "malloc buffer with torch failed.";
bufferSize_ = 0;
}
bufferSize_ = static_cast<uint64_t>(tensorDesc.shape.dims[0]);
ATB_LOG(INFO) << "new bufferSize:" << bufferSize_;
}
void BufferDevice::Free()
{
if (buffer_) {
torchTensor_.reset();
buffer_ = nullptr;
bufferSize_ = 0;
ATB_LOG(DEBUG) << "Buffer freed";
}
}
}