!24655 Repair the problems of code

Merge pull request !24655 from dinglinhe/code_dlh_ms_I4D60M

mindspore/nn/layer/basic.py

@@ -856,7 +856,7 @@ class ResizeBilinear(Cell):
         - **x** (Tensor) - Tensor to be resized. Input tensor must be a 4-D tensor with shape
           :math:`(batch, channels, height, width)`, with data type of float16 or float32.
         - **size** (Union[tuple[int], list[int]]): A tuple or list of 2 int elements
-          :math:`(new\_height, new_\width)`,the new size of the tensor.
+          :math:`(new\_height, new\_width)`,the new size of the tensor.
           One and only one of size and scale_factor can be set to None. Default: None.
         - **scale_factor** (int): The scale factor of new size of the tensor. The value should be positive integer.
           One and only one of size and scale_factor can be set to None. Default: None.

mindspore/ops/operations/nn_ops.py

@@ -2009,7 +2009,7 @@ class MaxPool3D(PrimitiveWithInfer):
             raise ValueError(f"For '{self.name}', attr 'pad_list' should be an positive int number or a tuple of "
                              f"three or six positive int numbers, but got {len(self.pad_list)} numbers.")
         if self.pad_mode != 'CALCULATED' and self.pad_list != (0, 0, 0, 0, 0, 0):
-            raise ValueError(f"For '{self.name}', the 'pad_list' must be zero when 'pad_mode' is not \"CALCULATED\", "
+            raise ValueError(f"For '{self.name}', the 'pad_list' must be zero when 'pad_mode' is not \"pad\", "
                              f"but got 'pad_list' is {self.pad_list} and 'pad_mode' is {pad_mode}.")
         if self.pad_mode == 'CALCULATED':
             for item in self.pad_list: