[Feature] support pool (#3827)

* 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:

fastdeploy/model_executor/models/__init__.py

@@ -47,8 +47,10 @@ def auto_models_registry(dir_path, register_path="fastdeploy.model_executor.mode
             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)
@@ -56,6 +58,7 @@ def auto_models_registry(dir_path, register_path="fastdeploy.model_executor.mode
                     and hasattr(attr, "arch_name")
                 ):
                     ModelRegistry.register_pretrained_model(attr)
+
         except ImportError:
             raise ImportError(f"{module_file=} import error")