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* adapt qwen_2_5_vl model * adapt qwen_2_5_vl VIT model * adapt qwen2_5_vl images_embeds * adapt qwen2_5_vl 3D rope * adapt qwen2_5_vl 3D rope v2 * adapt qwen2_5_vl processor * adapt qwen2_5_vl bypass resampler_model * adapt qwen2_5_vl 绕过部分ernie逻辑 * adapt qwen2_5_vl 绕过部分ernie逻辑 v2 * adapt qwen2_5_vl 权重加载与命名修改 * adapt qwen2_5_vl 非必须think_end_id * adapt qwen2_5_vl 区分多种模型的extract_vision_features * fix:adapt qwen2_5_vl model * adapt qwen2_5_vl norm * adapt qwen2_5_vl processor 更新 * adapt qwen2_5_vl image and video success * adapt qwen2_5_vl 部分整理代码 * adapt qwen2_5_vl 支持多卡 * adapt qwen2_5_vl on latest develop * adapt qwen2_5_vl RL * adapt qwen2_5_vl 整理代码 * support noex rope3d * adapt qwen2_5_vl add init.py * adapt qwen2_5_vl add init.py v2 * adapt qwen2_5_vl remove space * adapt qwen2_5_vl remove space v2 * adapt qwen2_5_vl pre-commit * adapt qwen2_5_vl update * adapt qwen2_5_vl pre-commit v2 * adapt qwen2_5_vl modify comments * adapt qwen2_5_vl fix indentation * adapt qwen2_5_vl fix indentation v2 --------- Co-authored-by: wangyafeng <wangyafeng@baidu.com> Co-authored-by: xiaoxiaohehe001 <49090790+xiaoxiaohehe001@users.noreply.github.com> Co-authored-by: CSWYF3634076 <58356743+CSWYF3634076@users.noreply.github.com>
35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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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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class MultimodalRegistry:
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"""
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A registry for multimodal models
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"""
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mm_models: set[str] = {
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"Ernie4_5_VLMoeForConditionalGeneration",
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"Ernie5MoeForCausalLM",
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"Qwen2_5_VLForConditionalGeneration",
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}
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@classmethod
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def contains_model(cls, name: str) -> bool:
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"""
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Check if the given name exists in registry.
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"""
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return name in cls.mm_models
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