Files
enginex-ascend-910-vllm/csrc/attention/common/op_kernel/buffer_manager.h
Sun Ruoxi 7f8a1b1f7a init v0.23.0
Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>
2026-08-27 15:11:51 +08:00

61 lines
2.1 KiB
C++
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

/**
 * Copyright (c) 2025 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.
 */
/*!
* \file buffer_manager.h
* \brief buffer内存管理
*/
#ifndef BUFFER_MANAGER_H
#define BUFFER_MANAGER_H
#if (__NPU_ARCH__ == 5102)
#include "buffer_mix_core.h"
#else
#include "buffer.h"
#endif
// L1 TPosition::A1
// L0A TPosition::A2
// L0B TPosition::B2
// L0C TPosition::CO1
// UB TPosition::VECIN
namespace fa_base_matmul {
template<BufferType bufferType>
class BufferManager {
using TensorType = std::conditional_t<bufferType == BufferType::GM, GlobalTensor<uint8_t>, LocalTensor<uint8_t>>;
public:
__aicore__ inline void Init(TPipe *pipe, uint32_t size) {
static_assert(bufferType != BufferType::GM, "GM should use workspace.");
TBuf<BufferInfo<bufferType>::Position> tbuf;
pipe->InitBuffer(tbuf, size);
mem_ = tbuf.template Get<uint8_t>();
}
__aicore__ inline void Init(__gm__ uint8_t* workspace) {
static_assert(bufferType == BufferType::GM, "BufferType should be GM.");
mem_.SetGlobalBuffer((__gm__ uint8_t*)workspace);
}
template<SyncType syncType = SyncType::INNER_CORE_SYNC>
__aicore__ inline Buffer<bufferType, syncType> AllocBuffer(uint32_t size) {
TensorType temp = mem_[offset_];
offset_ += size;
return Buffer<bufferType, syncType>(temp, size);
}
template<SyncType syncType = SyncType::INNER_CORE_SYNC>
__aicore__ inline void FreeBuffer(Buffer<bufferType, syncType> &buffer){
}
private:
uint32_t offset_ = 0;
TensorType mem_;
};
}
#endif