diff --git a/mindspore/python/mindspore/dataset/engine/datasets.py b/mindspore/python/mindspore/dataset/engine/datasets.py
index 0d953f5993f..15701286d55 100644
--- a/mindspore/python/mindspore/dataset/engine/datasets.py
+++ b/mindspore/python/mindspore/dataset/engine/datasets.py
@@ -1431,7 +1431,7 @@ class Dataset:
             output_numpy = False
 
         if Dataset._noop_mode():
-            return DummyIterator(self, 'tuple')
+            return DummyIterator(self, 'tuple', output_numpy)
         return TupleIterator(self, columns, num_epochs, output_numpy, do_copy)
 
     @check_dict_iterator
@@ -1463,7 +1463,7 @@ class Dataset:
             output_numpy = False
 
         if Dataset._noop_mode():
-            return DummyIterator(self, 'dict')
+            return DummyIterator(self, 'dict', output_numpy)
         return DictIterator(self, num_epochs, output_numpy)
 
     def __iter__(self):
diff --git a/mindspore/python/mindspore/dataset/engine/iterators.py b/mindspore/python/mindspore/dataset/engine/iterators.py
index ac2a47c159e..aba171b92c5 100644
--- a/mindspore/python/mindspore/dataset/engine/iterators.py
+++ b/mindspore/python/mindspore/dataset/engine/iterators.py
@@ -261,26 +261,33 @@ class DummyIterator:
     A DummyIterator only work when env MS_ROLE="MS_PSERVER" or MS_ROLE="MS_SCHED"
     """
 
-    def __init__(self, dataset, mode):
+    def __init__(self, dataset, mode, output_numpy=False):
         self.mode = mode
         self.shapes = dataset.output_shapes()
         self.types = dataset.output_types()
+        self.col_names = dataset.get_col_names()
         self.fetched_first = False
+        self.output_numpy = output_numpy
 
     def __get_tensor(self):
+        """Get a next tensor."""
         tensor_row = []
         for np_shape, np_type in zip(self.shapes, self.types):
             input_np = np.zeros(np_shape, np_type)
             tensor = Tensor(input_np)
-            tensor_row.append(tensor)
+            if self.output_numpy:
+                tensor_row.append(tensor.asnumpy())
+            else:
+                tensor_row.append(tensor)
+        if self.mode == "dict":
+            tensor_row = {col_name: tensor for col_name, tensor in zip(self.col_names, tensor_row)}
         return tensor_row
 
     def __iter__(self):
         return self
 
     def __next__(self):
-        if self.mode == "tuple":
-            if not self.fetched_first:
-                self.fetched_first = True
-                return self.__get_tensor()
+        if not self.fetched_first:
+            self.fetched_first = True
+            return self.__get_tensor()
         raise StopIteration()
diff --git a/tests/ut/python/dataset/test_noop_mode.py b/tests/ut/python/dataset/test_noop_mode.py
index 5dccc24b795..2267698645b 100644
--- a/tests/ut/python/dataset/test_noop_mode.py
+++ b/tests/ut/python/dataset/test_noop_mode.py
@@ -33,7 +33,7 @@ def test_noop_pserver():
     num = 0
     for _ in data1.create_dict_iterator(num_epochs=1):
         num += 1
-    assert num == 0
+    assert num == 1
     del os.environ['MS_ROLE']
     context.set_ps_context(enable_ps=False)
 
@@ -50,7 +50,7 @@ def test_noop_sched():
     num = 0
     for _ in data1.create_dict_iterator(num_epochs=1):
         num += 1
-    assert num == 0
+    assert num == 1
     del os.environ['MS_ROLE']
     context.set_ps_context(enable_ps=False)