!23910 Fix blank in Cdist API.

Merge pull request !23910 from liuxiao93/code_docs_Cdist-api

mindspore/ops/operations/math_ops.py

@@ -1065,30 +1065,30 @@ class CumProd(PrimitiveWithInfer):
 
 class Cdist(Primitive):
     """
-    Computes batched the p norm distance between each pair of the two collections of row vectors.
+    Computes batched the p norm distance between each pair of the two collections of row vectors.
 
     Args:
-        p (float): P value for the p norm distance to calculate between each vector pair ∈[0,∞].
+        p (float): P value for the p norm distance to calculate between each vector pair ∈[0,∞].
 
     Inputs:
-        - **input_x** (Tensor) - Input tensor of shape :math:`(B, P, M)`.
+        - **input_x** (Tensor) - Input tensor of shape :math:`(B, P, M)`.
           Letter :math:`B` represents 0 or positive int number.
           When :math:`B` is equal to 0, it means this dimension can be ignored,
           i.e. shape of the tensor is :math:`(P, M)`.
-        - **input_y** (Tensor) - Input tensor of shape :math:`(B, R, M)`.
+        - **input_y** (Tensor) - Input tensor of shape :math:`(B, R, M)`.
 
     Outputs:
-        Tensor, has the same dtype as `input_x`, which shape is :math:`(B, P, R)`.
+        Tensor, has the same dtype as `input_x`, which shape is :math:`(B, P, R)`.
 
     Raises:
-        TypeError: If `input_x` or `input_y` is not a Tensor.
-        TypeError: If dtype of `input_x` or `input_y` is neither float16 nor float32.
-        TypeError: If `p` is not a float.
+        TypeError: If `input_x` or `input_y` is not a Tensor.
+        TypeError: If dtype of `input_x` or `input_y` is neither float16 nor float32.
+        TypeError: If `p` is not a float.
         ValueError: If `p` is a negative float.
         ValueError: If dimension of `input_x` is not the same as `input_y`.
         ValueError: If dimension of `input_x` or `input_y` is neither 2 or 3.
 
-    Supported Platforms:
+    Supported Platforms:
         ``Ascend``
 
     Examples: