!14281 Fix some bug of API of Conv3d, Conv3dTranspose.

From: @liu_xiao_93
Reviewed-by: @liangchenghui,@wuxuejian
Signed-off-by: @liangchenghui

mindspore/nn/layer/conv.py

@@ -482,7 +482,7 @@ class Conv3d(_Conv):
     3D convolution layer.
 
     Applies a 3D convolution over an input tensor which is typically of shape
-    For input shape :math:`(N, C_{in}, D_{in}, H_{in}, W_{in})` and output shape
+    :math:`(N, C_{in}, D_{in}, H_{in}, W_{in})` and output shape
     :math:`(N, C_{out}, D_{out}, H_{out}, W_{out})`. where :math:`N` is batch size. :math:`C` is channel number.
     the formula is defined as:
 
@@ -731,7 +731,7 @@ class Conv3dTranspose(_Conv):
     Supported Platforms:
         ``Ascend``
 
-    Raise:
+    Raises:
         TypeError: If `in_channels`, `out_channels` or `group` is not an int.
         TypeError: If `kernel_size`, `stride`, `padding` , `dilation` or `output_padding`
                    is neither an int not a tuple of three.

mindspore/ops/operations/nn_ops.py

@@ -7693,7 +7693,7 @@ class Conv3D(PrimitiveWithInfer):
     3D convolution layer.
 
     Applies a 3D convolution over an input tensor which is typically of shape
-    For input shape :math:`(N, C_{in}, D_{in}, H_{in}, W_{in})` and output shape
+    :math:`(N, C_{in}, D_{in}, H_{in}, W_{in})` and output shape
     :math:`(N, C_{out}, D_{out}, H_{out}, W_{out})`. where :math:`N` is batch size. :math:`C` is channel number.
     the formula is defined as:
 
@@ -8133,7 +8133,7 @@ class Conv3DTranspose(PrimitiveWithInfer):
     Supported Platforms:
         ``Ascend``
 
-    Raise:
+    Raises:
         TypeError: If `in_channel`, `out_channel` or `group` is not an int.
         TypeError: If `kernel_size`, `stride`, `pad` , `dilation` or `output_padding` is neither an int not a tuple.
         ValueError: If `in_channel`, `out_channel`, `kernel_size`, `stride` or `dilation` is less than 1.