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vllm_npu/models/qwen2_5_omni_thinker.py
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54
vllm_npu/models/qwen2_5_omni_thinker.py
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#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# Adapted from vllm/model_executor/models/qwen2_5_vl.py
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# Copyright 2023 The vLLM team.
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#
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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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from transformers.models.qwen2_5_omni.configuration_qwen2_5_omni import \
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Qwen2_5OmniThinkerConfig
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from vllm.config import VllmConfig
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from vllm.model_executor.models.qwen2_5_omni_thinker import (
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Qwen2_5OmniThinkerDummyInputsBuilder,
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Qwen2_5OmniThinkerForConditionalGeneration,
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Qwen2_5OmniThinkerMultiModalProcessor, Qwen2_5OmniThinkerProcessingInfo)
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from vllm.model_executor.models.utils import maybe_prefix
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from vllm.multimodal import MULTIMODAL_REGISTRY
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from vllm_npu.models.qwen2_5_vl import AscendQwen2_5_VisionTransformer
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@MULTIMODAL_REGISTRY.register_processor(
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Qwen2_5OmniThinkerMultiModalProcessor,
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info=Qwen2_5OmniThinkerProcessingInfo,
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dummy_inputs=Qwen2_5OmniThinkerDummyInputsBuilder)
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class AscendQwen2_5OmniThinkerForConditionalGeneration(
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Qwen2_5OmniThinkerForConditionalGeneration):
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def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
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super().__init__(vllm_config=vllm_config, prefix=prefix)
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config: Qwen2_5OmniThinkerConfig = vllm_config.model_config.hf_config.thinker_config
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quant_config = vllm_config.quant_config
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# The following code reuse AscendQwen2_5_VisionTransformer from Qwen2_5_VL,
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# which does not import any model strcut difference. And will not impact
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# the modeling files removing.
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self.visual = AscendQwen2_5_VisionTransformer(
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vision_config=config.vision_config,
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norm_eps=getattr(config, "rms_norm_eps", 1e-6),
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quant_config=quant_config,
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prefix=maybe_prefix(prefix, "visual"),
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)
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