[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/ernie4_5_mtp.py

@@ -31,7 +31,11 @@ from fastdeploy.model_executor.forward_meta import ForwardMeta
 from fastdeploy.model_executor.layers.mtp_linear import ParallelEHProjection
 from fastdeploy.model_executor.layers.normalization import RMSNorm
 from fastdeploy.model_executor.models.ernie4_5_moe import Ernie4_5_DecoderLayer
-from fastdeploy.model_executor.models.model_base import ModelForCasualLM
+from fastdeploy.model_executor.models.model_base import (
+    ModelCategory,
+    ModelForCasualLM,
+    ModelRegistry,
+)
 
 
 class Ernie4_5_MTPPretrainedModel(PretrainedModel):
@@ -325,6 +329,12 @@ class Ernie4_5_MTPModel(nn.Layer):
         return hidden_states
 
 
+@ModelRegistry.register_model_class(
+    architecture="Ernie4_5_MTPForCausalLM",
+    module_path="ernie4_5_mtp",
+    category=ModelCategory.TEXT_GENERATION,
+    primary_use=ModelCategory.TEXT_GENERATION,
+)
 class Ernie4_5_MTPForCausalLM(ModelForCasualLM):
     """
     Ernie4_5_MTPForCausalLM