diff --git a/mindspore/nn/layer/math.py b/mindspore/nn/layer/math.py
index c8d668ac0e..47075441a6 100644
--- a/mindspore/nn/layer/math.py
+++ b/mindspore/nn/layer/math.py
@@ -99,7 +99,7 @@ class ReduceLogSumExp(Cell):
 
 class Range(Cell):
     r"""
-    Creates a sequence of numbers.
+    Creates a sequence of numbers in range [start, limit) with step size delta.
 
     Args:
         start (Union[int, float]): If `limit` is `None`, the value acts as limit in the range and first entry
diff --git a/mindspore/ops/functional.py b/mindspore/ops/functional.py
index 00aaf64e49..d02369b2a6 100644
--- a/mindspore/ops/functional.py
+++ b/mindspore/ops/functional.py
@@ -23,11 +23,6 @@ from . import operations as P
 from .operations import _grad_ops
 
 
-def arange(start, limit=None, delta=1):
-    from mindspore.nn import Range
-    return Range(start, limit, delta)()
-
-
 typeof = Primitive('typeof')
 hastype = Primitive('hastype')
 cast = P.Cast()
diff --git a/tests/ut/python/ops/test_math_ops.py b/tests/ut/python/ops/test_math_ops.py
index 934b9f139c..ac4b1ac434 100755
--- a/tests/ut/python/ops/test_math_ops.py
+++ b/tests/ut/python/ops/test_math_ops.py
@@ -24,7 +24,6 @@ from mindspore import Tensor
 from mindspore.common import dtype as mstype
 from mindspore.ops import composite as C
 from mindspore.ops import operations as P
-from mindspore.ops import functional as F
 from mindspore.ops import prim_attr_register, PrimitiveWithInfer
 from ..ut_filter import non_graph_engine
 from ....mindspore_test_framework.mindspore_test import mindspore_test
@@ -140,13 +139,6 @@ def test_eye():
     assert np.all(eye_output.asnumpy() == expect)
 
 
-def test_arange():
-    """ test_arange """
-    F.arange(10)
-    F.arange(1, 5)
-    F.arange(1, 10, 2)
-
-
 class VirtualLossGrad(PrimitiveWithInfer):
     """ VirtualLossGrad definition """