diff --git a/mindspore/nn/layer/basic.py b/mindspore/nn/layer/basic.py
index 790b1208bb..41e327ff8f 100644
--- a/mindspore/nn/layer/basic.py
+++ b/mindspore/nn/layer/basic.py
@@ -756,8 +756,8 @@ class Triu(Cell):
         >>> triu = nn.Triu()
         >>> result = triu(x)
         >>> print(result)
-        [[1 0]
-         [3 4]]
+        [[1 2]
+         [0 4]]
     """
     def __init__(self):
         super(Triu, self).__init__()
diff --git a/mindspore/nn/probability/bijector/invert.py b/mindspore/nn/probability/bijector/invert.py
index 6f9fead973..d87f8d45d7 100644
--- a/mindspore/nn/probability/bijector/invert.py
+++ b/mindspore/nn/probability/bijector/invert.py
@@ -44,7 +44,7 @@ class Invert(Bijector):
         [0.        0.6931472 1.0986123]
         >>> ans2 = inv_exp.inverse(value)
         >>> print(ans2)
-        [ 2.7182817  7.389056  20.085537 ]
+        [ 2.718282  7.389056 20.085537]
         >>> ans3 = inv_exp.forward_log_jacobian(value)
         >>> print(ans3)
         [-0.        -0.6931472 -1.0986123]
diff --git a/mindspore/ops/operations/math_ops.py b/mindspore/ops/operations/math_ops.py
index ea0f8448d1..71f5f454a0 100644
--- a/mindspore/ops/operations/math_ops.py
+++ b/mindspore/ops/operations/math_ops.py
@@ -3216,7 +3216,7 @@ class Cos(PrimitiveWithInfer):
         >>> input_x = Tensor(np.array([0.24, 0.83, 0.31, 0.09]), mindspore.float32)
         >>> output = cos(input_x)
         >>> print(output)
-        [0.971338	0.67487574	0.95233357	0.9959527 ]
+        [0.971338 0.67487574 0.95233357 0.9959527 ]
     """
 
     @prim_attr_register
diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py
index 1c80c1ae8e..87337f14c9 100644
--- a/mindspore/ops/operations/nn_ops.py
+++ b/mindspore/ops/operations/nn_ops.py
@@ -3265,8 +3265,8 @@ class SigmoidCrossEntropyWithLogits(PrimitiveWithInfer):
         >>> sigmoid = ops.SigmoidCrossEntropyWithLogits()
         >>> output = sigmoid(logits, labels)
         >>> print(output)
-        [[0.6111007   0.5032824   0.26318604]
-         [0.58439666  0.5530153  -0.4368139 ]]
+        [[ 0.6111007   0.5032824   0.26318604]
+         [ 0.58439666  0.5530153  -0.4368139 ]]
     """
 
     @prim_attr_register
@@ -3308,10 +3308,10 @@ class Pad(PrimitiveWithInfer):
         >>> pad_op = ops.Pad(((1, 2), (2, 1)))
         >>> output = pad_op(input_tensor)
         >>> print(output)
-        [[ 0.   0.   0.   0.   0.   0. ],
-         [ 0.   0.  -0.1  0.3  3.6  0. ],
-         [ 0.   0.   0.4  0.5 -3.2  0. ],
-         [ 0.   0.   0.   0.   0.   0. ],
+        [[ 0.   0.   0.   0.   0.   0. ]
+         [ 0.   0.  -0.1  0.3  3.6  0. ]
+         [ 0.   0.   0.4  0.5 -3.2  0. ]
+         [ 0.   0.   0.   0.   0.   0. ]
          [ 0.   0.   0.   0.   0.   0. ]]
     """