diff --git a/modelscope/trainers/nlp/sequence_classification_trainer.py b/modelscope/trainers/nlp/sequence_classification_trainer.py
index b2b759fa..7ae5576f 100644
--- a/modelscope/trainers/nlp/sequence_classification_trainer.py
+++ b/modelscope/trainers/nlp/sequence_classification_trainer.py
@@ -14,8 +14,7 @@ PATH = None
 logger = get_logger(PATH)
 
 
-@TRAINERS.register_module(
-    Tasks.text_classification, module_name=r'bert-sentiment-analysis')
+@TRAINERS.register_module(module_name=r'bert-sentiment-analysis')
 class SequenceClassificationTrainer(BaseTrainer):
 
     def __init__(self, cfg_file: str, *args, **kwargs):
diff --git a/modelscope/utils/registry.py b/modelscope/utils/registry.py
index 9b37252b..2e1f8672 100644
--- a/modelscope/utils/registry.py
+++ b/modelscope/utils/registry.py
@@ -77,19 +77,6 @@ class Registry(object):
         self._modules[group_key][module_name] = module_cls
         module_cls.group_key = group_key
 
-        if module_name in self._modules[default_group]:
-            if id(self._modules[default_group][module_name]) == id(module_cls):
-                return
-            else:
-                logger.warning(f'{module_name} is already registered in '
-                               f'{self._name}[{default_group}] and will '
-                               'be overwritten')
-                logger.warning(f'{self._modules[default_group][module_name]}'
-                               f'to {module_cls}')
-        # also register module in the default group for faster access
-        # only by module name
-        self._modules[default_group][module_name] = module_cls
-
     def register_module(self,
                         group_key: str = default_group,
                         module_name: str = None,
diff --git a/tests/pipelines/test_base.py b/tests/pipelines/test_base.py
index c642ed4b..446c6082 100644
--- a/tests/pipelines/test_base.py
+++ b/tests/pipelines/test_base.py
@@ -74,9 +74,9 @@ class CustomPipelineTest(unittest.TestCase):
             def postprocess(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
                 return inputs
 
-        self.assertTrue('custom-image' in PIPELINES.modules[default_group])
+        self.assertTrue('custom-image' in PIPELINES.modules[dummy_task])
         add_default_pipeline_info(dummy_task, 'custom-image', overwrite=True)
-        pipe = pipeline(pipeline_name='custom-image')
+        pipe = pipeline(task=dummy_task, pipeline_name='custom-image')
         pipe2 = pipeline(dummy_task)
         self.assertTrue(type(pipe) is type(pipe2))
 
diff --git a/tests/pipelines/test_key_word_spotting.py b/tests/pipelines/test_key_word_spotting.py
index d0f62461..b01e3f21 100644
--- a/tests/pipelines/test_key_word_spotting.py
+++ b/tests/pipelines/test_key_word_spotting.py
@@ -66,6 +66,7 @@ class KeyWordSpottingTest(unittest.TestCase):
         self.assertTrue(preprocessor is not None)
 
         kwsbp_16k_pipline = pipeline(
+            task=Tasks.key_word_spotting,
             pipeline_name=Pipelines.kws_kwsbp,
             model=model,
             preprocessor=preprocessor)
@@ -123,6 +124,7 @@ class KeyWordSpottingTest(unittest.TestCase):
         keywords = [{'keyword': '播放音乐'}]
 
         kwsbp_16k_pipline = pipeline(
+            task=Tasks.key_word_spotting,
             pipeline_name=Pipelines.kws_kwsbp,
             model=model,
             preprocessor=preprocessor,
@@ -192,6 +194,7 @@ class KeyWordSpottingTest(unittest.TestCase):
         self.assertTrue(preprocessor is not None)
 
         kwsbp_16k_pipline = pipeline(
+            task=Tasks.key_word_spotting,
             pipeline_name=Pipelines.kws_kwsbp,
             model=model,
             preprocessor=preprocessor)
@@ -263,6 +266,7 @@ class KeyWordSpottingTest(unittest.TestCase):
         self.assertTrue(preprocessor is not None)
 
         kwsbp_16k_pipline = pipeline(
+            task=Tasks.key_word_spotting,
             pipeline_name=Pipelines.kws_kwsbp,
             model=model,
             preprocessor=preprocessor)
@@ -357,6 +361,7 @@ class KeyWordSpottingTest(unittest.TestCase):
         self.assertTrue(preprocessor is not None)
 
         kwsbp_16k_pipline = pipeline(
+            task=Tasks.key_word_spotting,
             pipeline_name=Pipelines.kws_kwsbp,
             model=model,
             preprocessor=preprocessor)
diff --git a/tests/pipelines/test_text_to_speech.py b/tests/pipelines/test_text_to_speech.py
index e92047d6..c371d80a 100644
--- a/tests/pipelines/test_text_to_speech.py
+++ b/tests/pipelines/test_text_to_speech.py
@@ -12,7 +12,7 @@ from modelscope.metainfo import Pipelines, Preprocessors
 from modelscope.models import Model
 from modelscope.pipelines import pipeline
 from modelscope.preprocessors import build_preprocessor
-from modelscope.utils.constant import Fields
+from modelscope.utils.constant import Fields, Tasks
 from modelscope.utils.logger import get_logger
 from modelscope.utils.test_utils import test_level
 
@@ -43,6 +43,7 @@ class TextToSpeechSambertHifigan16kPipelineTest(unittest.TestCase):
         self.assertTrue(voc is not None)
 
         sambert_tts = pipeline(
+            task=Tasks.text_to_speech,
             pipeline_name=Pipelines.sambert_hifigan_16k_tts,
             config_file='',
             model=[am, voc],