85234d096d
### What this PR does / why we need it? Qwen3vl full attention supports enabling the split_qkv_rmsnorm_mrope fusion operator. ### Does this PR introduce _any_ user-facing change? ### How was this patch tested? - [x] Run Qwen3-VL dense model with the fusion operator, verify correct output - [x] Run Qwen3-VL MoE model with the fusion operator, verify correct output --------- Signed-off-by: jiangmengyu18 <451528648@qq.com> Signed-off-by: jiangmengyu18 <56633611+jiangmengyu18@users.noreply.github.com> Signed-off-by: betta18 <jiangmengyu1@huawei.com> Co-authored-by: betta18 <jiangmengyu1@huawei.com>
54 lines
2.5 KiB
Python
54 lines
2.5 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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import vllm_ascend.patch.worker.patch_v2.patch_triton # noqa
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# isort: off
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import vllm_ascend.patch.worker.patch_weight_utils # noqa
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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_minimax_m2 # noqa
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import vllm_ascend.patch.worker.patch_minimax_m2_linear_attn # noqa
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import vllm_ascend.patch.worker.patch_mamba_utils # noqa
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import vllm_ascend.patch.worker.patch_multimodal_merge # noqa
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import vllm_ascend.patch.worker.patch_gdn_attn # 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_qwen3_5 # noqa
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import vllm_ascend.patch.worker.patch_rejection_sampler # noqa
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import vllm_ascend.patch.worker.patch_v2.patch_eagle # noqa
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import vllm_ascend.patch.worker.patch_v2.patch_uva # noqa
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import vllm_ascend.patch.worker.patch_huanyuan_vl # noqa
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import vllm_ascend.patch.worker.patch_routed_experts_capturer # noqa
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import vllm_ascend.patch.worker.patch_npugraph_ex_triton # noqa
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import vllm_ascend.patch.worker.patch_kimi_k25 # noqa
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import vllm_ascend.patch.worker.patch_draft_quarot # noqa
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import vllm_ascend.patch.worker.patch_cudagraph # noqa
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import vllm_ascend.patch.worker.patch_deepseek_mtp # noqa
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import vllm_ascend.patch.worker.patch_v2.patch_input_batch # noqa
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import vllm_ascend.patch.worker.patch_v2.patch_model_state # noqa
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import vllm_ascend.patch.worker.patch_v2.patch_block_table # noqa
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import vllm_ascend.patch.worker.patch_qwen3vl # noqa
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import vllm_ascend.patch.worker.patch_deepencoder2 # noqa
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