This PR add `MatmulAllreduceRmsnorm` operator and introduces a graph
fusion pass for `matmul_allreduce_rmsnorm` operations. The
implementation includes a new configuration flag, a pattern matching
pass using `torch._inductor.pattern_matcher`.
Co-authored-by: Trunrain [270250579@qq.com](mailto:270250579@qq.com)
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: wxsIcey <1790571317@qq.com>
Signed-off-by: tongrunze <t00574058@china.huawei.com>
37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# This file is a part of the vllm-ascend project.
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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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#
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from vllm.triton_utils import HAS_TRITON
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if HAS_TRITON:
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import vllm_ascend.patch.worker.patch_triton
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# isort: off
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import vllm_ascend.patch.platform.patch_sched_yield # noqa
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import vllm_ascend.patch.worker.patch_unquantized_gemm # noqa
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import vllm_ascend.patch.worker.patch_bert # noqa
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import vllm_ascend.patch.worker.patch_distributed # noqa
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import vllm_ascend.patch.worker.patch_deepseek # noqa
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import vllm_ascend.patch.worker.patch_multimodal_merge # noqa
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import vllm_ascend.patch.worker.patch_minicpm # noqa
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import vllm_ascend.patch.worker.patch_rope # noqa
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import vllm_ascend.patch.worker.patch_qwen3_next # noqa
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import vllm_ascend.patch.worker.patch_qwen3_next_mtp # noqa
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import vllm_ascend.patch.worker.patch_rejection_sampler # noqa
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import vllm_ascend.patch.worker.patch_qwen3_next # noqa
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import vllm_ascend.patch.worker.patch_v2_egale # noqa
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