mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-09-26 20:41:53 +08:00
c86945ef49
* support pool * update pooling * add pooler_config and check * update * support AutoWeightsLoader load weight * fix * update * delete print * update pre-commit * fix * fix xpu * fix ModelRegistry->model_registry * fix Copilot review * fix pooler.py * delete StepPooler * fix abstract * fix default_loader_v1 * fix Pre Commit * support torch qwen3 dense * add test and fix torch-qwen * fix * fix * adapter ci: * fix review * fix pooling_params.py * fix * fix tasks.py 2025 * fix print and logger * Modefy ModelRegistry and delete AutoWeightsLoader * fix logger * fix test_embedding * fix ci bug * ernie4_5 model_registry * fix test * support Qwen3-Embedding-0.6B tp=1 load * fix extra code * fix * delete fix vocab_size * delete prepare_params_dict * fix:
69 lines
2.2 KiB
Python
69 lines
2.2 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 ImportError:
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raise ImportError(f"{module_file=} import error")
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auto_models_registry(os.path.dirname(__file__))
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load_model_register_plugins()
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