e8e20c0bbf
Qwen2.5_Omni vision tower use AscendRMSNorm, which conatins a property function. It would be override by set_forward_context(), patch Qwen2_5OmniThinkerForConditionalGeneration func with customized _process_image_input() and _process_video_input() to fix it. ### What this PR does / why we need it? Fix Qwen2.5_Omni model infer image/video issue ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? - vLLM version: v0.11.2 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2 Signed-off-by: Ting FU <futing10@huawei.com>
33 lines
1.3 KiB
Python
33 lines
1.3 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_distributed # noqa
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import vllm_ascend.patch.worker.patch_roberta # noqa
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import vllm_ascend.patch.worker.patch_weight_loader # 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_qwen2_5_vl # noqa
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import vllm_ascend.patch.worker.patch_qwen2_5_omni # noqa
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import vllm_ascend.patch.worker.patch_rope # noqa
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