4bf4c63147
Signed-off-by: Celeste-jq <591998922@qq.com> Signed-off-by: lyj-jjj <liuyingjun5@huawei.com> Signed-off-by: IsleOfDawnlight <stellamou@qq.com> Signed-off-by: Yueqian Lin <linyueqian@outlook.com> Co-authored-by: Celeste-jq <591998922@qq.com> Co-authored-by: lyj-jjj <liuyingjun5@huawei.com> Co-authored-by: Yueqian Lin <linyueqian@outlook.com>
56 lines
2.2 KiB
Python
56 lines
2.2 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""
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Custom model configs that cannot be expressed via HuggingFace Transformers alone,
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following the same pattern as vllm.transformers_utils.configs.
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"""
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from __future__ import annotations
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import importlib
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_CLASS_TO_MODULE: dict[str, str] = {
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"Mammothmoda2Config": "vllm_omni.transformers_utils.configs.mammoth_moda2",
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"Mammothmoda2Qwen2_5_VLConfig": "vllm_omni.transformers_utils.configs.mammoth_moda2",
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"Mammothmoda2Qwen2_5_VLTextConfig": "vllm_omni.transformers_utils.configs.mammoth_moda2",
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"Mammothmoda2Qwen2_5_VLVisionConfig": "vllm_omni.transformers_utils.configs.mammoth_moda2",
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"FishSpeechConfig": "vllm_omni.transformers_utils.configs.fish_speech",
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"FishSpeechSlowARConfig": "vllm_omni.transformers_utils.configs.fish_speech",
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"FishSpeechFastARConfig": "vllm_omni.transformers_utils.configs.fish_speech",
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"VoxCPMConfig": "vllm_omni.transformers_utils.configs.voxcpm",
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"VoxCPM2Config": "vllm_omni.transformers_utils.configs.voxcpm2",
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}
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__all__ = [
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"Mammothmoda2Config",
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"Mammothmoda2Qwen2_5_VLConfig",
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"Mammothmoda2Qwen2_5_VLTextConfig",
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"Mammothmoda2Qwen2_5_VLVisionConfig",
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"FishSpeechConfig",
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"FishSpeechSlowARConfig",
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"FishSpeechFastARConfig",
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"VoxCPMConfig",
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"VoxCPM2Config",
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]
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def __getattr__(name: str):
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if name in _CLASS_TO_MODULE:
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module_name = _CLASS_TO_MODULE[name]
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module = importlib.import_module(module_name)
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return getattr(module, name)
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raise AttributeError(f"module 'vllm_omni.transformers_utils.configs' has no attribute '{name}'")
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def __dir__():
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return sorted(list(__all__))
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# Eagerly import all config modules so their AutoConfig.register() side-effects
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# run as soon as `vllm_omni.transformers_utils.configs` is imported.
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from vllm_omni.transformers_utils.configs import fish_speech as _fish_speech # noqa: F401, E402
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from vllm_omni.transformers_utils.configs import mammoth_moda2 as _mammoth_moda2 # noqa: F401, E402
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from vllm_omni.transformers_utils.configs import voxcpm as _voxcpm # noqa: F401, E402
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from vllm_omni.transformers_utils.configs import voxcpm2 as _voxcpm2 # noqa: F401, E402
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