diff --git a/gnes/base/__init__.py b/gnes/base/__init__.py
index 61162ea4..e283fcda 100644
--- a/gnes/base/__init__.py
+++ b/gnes/base/__init__.py
@@ -33,7 +33,6 @@
 T = TypeVar('T', bound='TrainableBase')
 
 
-
 def register_all_class(cls2file_map: Dict, module_name: str):
     import importlib
     for k, v in cls2file_map.items():
@@ -164,7 +163,7 @@ def __init__(self, *args, **kwargs):
         self._post_init_vars = set()
 
     def _post_init_wrapper(self):
-        if not getattr(self, 'name', None):
+        if not getattr(self, 'name', None) and os.environ.get('GNES_WARN_UNNAMED_COMPONENT', '1') == '1':
             _id = str(uuid.uuid4()).split('-')[0]
             _name = '%s-%s' % (self.__class__.__name__, _id)
             self.logger.warning(
@@ -290,9 +289,15 @@ def _get_instance_from_yaml(cls, constructor, node, stop_on_import_error=False):
             if stop_on_import_error:
                 raise RuntimeError('Cannot import module, pip install may required') from ex
 
+        if node.tag in {'!PipelineEncoder', '!CompositionalEncoder'}:
+            os.environ['GNES_WARN_UNNAMED_COMPONENT'] = '0'
+
         data = ruamel.yaml.constructor.SafeConstructor.construct_mapping(
             constructor, node, deep=True)
 
+        if node.tag in {'!PipelineEncoder', '!CompositionalEncoder'}:
+            os.environ['GNES_WARN_UNNAMED_COMPONENT'] = '1'
+
         dump_path = cls._get_dump_path_from_config(data.get('gnes_config', {}))
         load_from_dump = False
         if dump_path:
@@ -344,6 +349,3 @@ def _dump_instance_to_yaml(data):
         if p:
             r['gnes_config'] = p
         return r
-
-
-
diff --git a/tests/test_load_dump_pipeline.py b/tests/test_load_dump_pipeline.py
index 4a02f74f..0917f4ef 100644
--- a/tests/test_load_dump_pipeline.py
+++ b/tests/test_load_dump_pipeline.py
@@ -37,6 +37,18 @@ def test_base(self):
         b = BaseEncoder.load_yaml(self.yaml_path)
         self.assertTrue(b.is_trained)
 
+    def test_name_warning(self):
+        d1 = DummyTFEncoder()
+        d2 = DummyTFEncoder()
+        d1.name = ''
+        d2.name = ''
+        d3 = PipelineEncoder()
+        d3.component = lambda: [d1, d2]
+        d3.name = 'aa'
+        d3.dump_yaml()
+        print('there should not be any warning after this line')
+        d31 = BaseEncoder.load_yaml(d3.yaml_full_path)
+
     def test_dummytf(self):
         d1 = DummyTFEncoder()
         self.assertEqual(d1.encode(1), 2)