diff --git a/mindspore/nn/layer/basic.py b/mindspore/nn/layer/basic.py
index 341657a191..90ec67624e 100644
--- a/mindspore/nn/layer/basic.py
+++ b/mindspore/nn/layer/basic.py
@@ -712,7 +712,7 @@ class Pad(Cell):
         ...         self.pad = nn.Pad(paddings=((1, 1), (2, 2)), mode="CONSTANT")
         ...     def construct(self, x):
         ...         return self.pad(x)
-        >>> x = Tensor(np.array([[1, 2, 3], [4, 5, 6]]), mindsprore.float32)
+        >>> x = Tensor(np.array([[1, 2, 3], [4, 5, 6]]), mindspore.float32)
         >>> pad = Net()
         >>> output = pad(x)
         >>> print(output)
@@ -1277,7 +1277,7 @@ class MatrixDiagPart(Cell):
         >>> x = Tensor([[-1, 0, 0, 1],
         ...             [-1, 0, 0, 1],
         ...             [-1, 0, 0, 1],
-        ...             [-1, 0, 0, 1], mindspore.float32)
+        ...             [-1, 0, 0, 1]], mindspore.float32)
         >>> matrix_diag_part = nn.MatrixDiagPart()
         >>> output = matrix_diag_part(x)
         >>> print(output)
diff --git a/mindspore/nn/layer/container.py b/mindspore/nn/layer/container.py
index 4973dab1c8..6f0541d3e0 100644
--- a/mindspore/nn/layer/container.py
+++ b/mindspore/nn/layer/container.py
@@ -262,7 +262,7 @@ class CellList(_CellListBase, Cell):
         >>> cell_ls
         CellList<
           (0): Conv2d<input_channels=100, output_channels=20, kernel_size=(3, 3),stride=(1, 1),  pad_mode=same,
-          padding=0, dilation=(1, 1), group=1, has_bias=Falseweight_init=normal, bias_init=zeros, format=NCHW>
+          padding=0, dilation=(1, 1), group=1, has_bias=False, weight_init=normal, bias_init=zeros, format=NCHW>
           (1): BatchNorm2d<num_features=20, eps=1e-05, momentum=0.09999999999999998, gamma=Parameter (name=1.gamma,
           shape=(20,), dtype=Float32, requires_grad=True), beta=Parameter (name=1.beta, shape=(20,), dtype=Float32,
           requires_grad=True), moving_mean=Parameter (name=1.moving_mean, shape=(20,), dtype=Float32,
diff --git a/mindspore/nn/layer/thor_layer.py b/mindspore/nn/layer/thor_layer.py
index 8672761df0..4e99b6a408 100644
--- a/mindspore/nn/layer/thor_layer.py
+++ b/mindspore/nn/layer/thor_layer.py
@@ -68,11 +68,12 @@ class DenseThor(Cell):
         ``Ascend`` ``GPU``
 
     Examples:
-        >>> x = Tensor(np.random.randint(0, 255, [2, 3]), mindspore.float32)
-        >>> net = nn.DenseThor(3, 4)
-        >>> net(x)
-        [[ 2.5246444   2.2738023   0.5711005  -3.9399147 ]
-         [ 1.0739875   4.0155234   0.94188046 -5.459526  ]]
+        >>> x = Tensor(np.array([[1, 2, 3], [3, 4, 5]]), mindspore.float32)
+        >>> net = nn.DenseThor(3, 4, weight_init="ones")
+        >>> output = net(x)
+        >>> print(output)
+        [[  6.  6.  6.  6.]
+         [ 12. 12. 12. 12. ]]
     """
     def __init__(self,
                  in_channels,