### What this PR does / why we need it?
During the prefill phase of Qwen3-Next and Qwen3.5, the
`torch.ops._C_ascend.causal_conv1d_fn` operator exhibits significant
performance bottlenecks. To address this, we have re-implemented the
optimization using `torch.ops._C_ascend.npu_causal_conv1d_custom`.
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
1 accuracy test
```
[2026-03-20 16:44:22,961] [ais_bench] [INFO] Start launch task state board ...
+-----------------------------+-----------+------------+-------------+----------+-------------------------------------------+---------------------+
| Task Name | Process | Progress | Time Cost | Status | Log Path | Extend Parameters |
+=============================+===========+============+=============+==========+===========================================+=====================+
| vllm-api-general-chat/gsm8k | 2918978 | NA | 0:00:01 | finish | logs/eval/vllm-api-general-chat/gsm8k.out | None |
+-----------------------------+-----------+------------+-------------+----------+-------------------------------------------+---------------------+
[2026-03-20 16:44:34,284] [ais_bench] [INFO] Evaluation tasks completed.
[2026-03-20 16:44:34,287] [ais_bench] [INFO] Summarizing evaluation results...
dataset version metric mode vllm-api-general-chat
--------- --------- -------- ------ -----------------------
gsm8k 271d0b accuracy gen 96.21
```
2 ut modify test
`pytest -sv
/home/c30006096/vllm-ascend/tests/e2e/nightly/single_node/ops/singlecard_ops/triton/test_causal_conv1d.py::test_ascend_causal_conv1d`
- vLLM version: v0.17.0
- vLLM main:
8b6325758c
Signed-off-by: wenba0 <3054239545@qq.com>
Signed-off-by: jiaojiao <56385650+wenba0@users.noreply.github.com>
61 lines
2.7 KiB
C++
61 lines
2.7 KiB
C++
/**
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* Copyright (c) 2025 Huawei Technologies Co., Ltd.
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* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
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* CANN Open Software License Agreement Version 2.0 (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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/*!
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* \file math_util.h
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* \brief
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*/
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#ifndef TILING_MATMUL_MATH_UTIL_H
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#define TILING_MATMUL_MATH_UTIL_H
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#include <array>
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#include <cstdint>
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#include <vector>
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#include <utility>
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namespace matmul_tiling {
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class MathUtil {
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public:
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static bool IsEqual(float leftValue, float rightValue);
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template<typename T>
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static auto CeilDivision(T num1, T num2) -> T
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{
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if (num2 == 0) {
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return 0;
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}
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return static_cast<T>((static_cast<int64_t>(num1) + static_cast<int64_t>(num2) - 1) /
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static_cast<int64_t>(num2));
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}
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template<typename T>
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static auto Align(T num1, T num2) -> T
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{
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return CeilDivision(num1, num2) * num2;
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}
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static int32_t AlignDown(int32_t num1, int32_t num2);
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static bool CheckMulOverflow(int32_t a, int32_t b, int32_t &c);
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static int32_t MapShape(int32_t shape, bool roundUpFlag = true);
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static void AddFactor(std::vector<int32_t> &dimsFactors, int32_t dim);
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static void GetFactorCnt(const int32_t shape, int32_t &factorCnt, const int32_t factorStart,
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const int32_t factorEnd);
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static void GetFactorLayerCnt(const int32_t shape, int32_t &factorCnt, const int32_t factorStart,
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const int32_t factorEnd);
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static bool CheckFactorNumSatisfy(const int32_t dim);
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static int32_t FindBestSingleCore(const int32_t oriShape, const int32_t mappedShape, const int32_t coreNum,
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bool isKDim);
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static void GetFactors(std::vector<int32_t> &factorList, int32_t srcNum, int32_t minFactor, int32_t maxFactor);
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static void GetFactors(std::vector<int32_t> &factorList, int32_t srcNum, int32_t maxFactor);
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static void GetBlockFactors(std::vector<int32_t> &factorList, const int32_t oriShape, const int32_t mpShape,
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const int32_t coreNum, const int32_t maxNum);
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static int32_t GetNonFactorMap(std::vector<int32_t> &factorList, int32_t srcNum, int32_t maxFactor);
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static std::vector<std::pair<int, int>> GetFactorPairs(int32_t num);
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static std::pair<int32_t, int32_t> DivideIntoMainAndTail(int32_t num, int32_t divisor);
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};
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} // namespace matmul_tiling
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#endif // _MATH_UTIL_H_
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