Files
FastDeploy/fastdeploy/model_executor/models/__init__.py
Yuanle Liu 4957908275 add input_processor plugin (#3657)
* add input_processor plugin

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update
2025-08-28 22:53:57 +08:00

66 lines
2.2 KiB
Python

"""
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
import importlib
import inspect
import os
from pathlib import Path
from paddleformers.transformers import PretrainedModel
from fastdeploy.plugins.model_register import load_model_register_plugins
from .model_base import ModelForCasualLM, ModelRegistry
def _find_py_files(root_dir):
root_path = Path(root_dir)
py_files = []
for py_file in root_path.rglob("*.py"):
rel_path = py_file.relative_to(root_dir)
if "__init__" in str(py_file):
continue
dotted_path = str(rel_path).replace("/", ".").replace("\\", ".").replace(".py", "")
py_files.append(dotted_path)
return py_files
def auto_models_registry(dir_path, register_path="fastdeploy.model_executor.models"):
"""
auto registry all models in this folder
"""
for module_file in _find_py_files(dir_path):
try:
module = importlib.import_module(f"{register_path}.{module_file}")
for attr_name in dir(module):
attr = getattr(module, attr_name)
if inspect.isclass(attr) and issubclass(attr, ModelForCasualLM) and attr is not ModelForCasualLM:
ModelRegistry.register_model_class(attr)
if (
inspect.isclass(attr)
and issubclass(attr, PretrainedModel)
and attr is not PretrainedModel
and hasattr(attr, "arch_name")
):
ModelRegistry.register_pretrained_model(attr)
except ImportError:
raise ImportError(f"{module_file=} import error")
auto_models_registry(os.path.dirname(__file__))
load_model_register_plugins()