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bcc313e8f2
### What this PR does / why we need it? - Adds the `mla_preprocess` custom kernel to provide an optimized pre-processing operator for Multi-head Latent Attention (MLA) on Ascend NPUs. - Wires the new kernel into the C++ extension pipeline so vLLM can invoke it directly, cutting Python-side tensor shuffling and memory copies that previously bottlenecked MLA compilation paths. ### Does this PR introduce any user-facing change? - No. The change only introduces a low-level kernel; public APIs and inference behavior remain unchanged. ### How was this patch tested? - Dedicated Ascend kernels are not covered by our CI yet, so no extra automated tests were added. Future MLA-focused regression runs will cover this path. - vLLM version: v0.11.0 Signed-off-by: Chen Chen <0109chenchen@gmail.com>
26 lines
1.1 KiB
C
26 lines
1.1 KiB
C
/* Adapted from
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* https://gitee.com/ascend/ascend-transformer-boost.git
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*
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* Copyright (c) 2024 Huawei Technologies Co., Ltd.
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* This file is a part of the CANN Open Software.
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* Licensed under CANN Open Software License Agreement Version 1.0 (the "License").
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* Please refer to the License for details. You may not use this file except in compliance with the License.
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* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
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* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
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* See LICENSE in the root of the software repository for the full text of the License.
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*/
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#ifndef INCLUDE_COMMON_H
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#define INCLUDE_COMMON_H
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#define CONST_2 2
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#define SET_FLAG(trigger, waiter, e) AscendC::SetFlag<AscendC::HardEvent::trigger##_##waiter>((e))
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#define WAIT_FLAG(trigger, waiter, e) AscendC::WaitFlag<AscendC::HardEvent::trigger##_##waiter>((e))
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#define PIPE_BARRIER(pipe) AscendC::PipeBarrier<PIPE_##pipe>()
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#ifndef __force_inline__
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#define __force_inline__ inline __attribute__((always_inline))
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#endif
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#endif
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