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https://github.com/PaddlePaddle/FastDeploy.git
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9286403570
* support v1 loader * remove useless code * remove useless * [Model] support Qwen3VL images success * [Model] support Qwen3VL rope_3d * [Model] support Qwen3VL remove log * [Model] support Qwen3VL RL * [Model] support Qwen3VL tp * [Model] support Qwen3VL video * [Model] support Qwen3VL fix ernievl * [Model] support Qwen3VL fix get_image_boundaries.cc array out of bounds * [Model] support Qwen3VL fix multi card * [Model] support Qwen3VL file close * [Model] support Qwen3VL fix ce * [Model] support Qwen3VL fix unittest * [Model] support Qwen3VL add unittest --------- Co-authored-by: Ayakouji <yuhongh@qq.com>
69 lines
2.3 KiB
Python
69 lines
2.3 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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import importlib
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import inspect
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import os
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from pathlib import Path
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from paddleformers.transformers import PretrainedModel
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from fastdeploy.plugins.model_register import load_model_register_plugins
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from .model_base import ModelForCasualLM, ModelRegistry
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def _find_py_files(root_dir):
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root_path = Path(root_dir)
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py_files = []
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for py_file in root_path.rglob("*.py"):
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rel_path = py_file.relative_to(root_dir)
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if "__init__" in str(py_file):
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continue
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dotted_path = str(rel_path).replace("/", ".").replace("\\", ".").replace(".py", "")
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py_files.append(dotted_path)
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return py_files
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def auto_models_registry(dir_path, register_path="fastdeploy.model_executor.models"):
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"""
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auto registry all models in this folder
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"""
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for module_file in _find_py_files(dir_path):
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try:
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module = importlib.import_module(f"{register_path}.{module_file}")
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for attr_name in dir(module):
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attr = getattr(module, attr_name)
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if inspect.isclass(attr) and issubclass(attr, ModelForCasualLM) and attr is not ModelForCasualLM:
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ModelRegistry.register_model_class(attr)
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if (
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inspect.isclass(attr)
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and issubclass(attr, PretrainedModel)
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and attr is not PretrainedModel
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and hasattr(attr, "arch_name")
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):
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ModelRegistry.register_pretrained_model(attr)
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except Exception as e:
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raise ImportError(f"{module_file=} import error, error message: {e}")
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auto_models_registry(os.path.dirname(__file__))
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load_model_register_plugins()
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