!13478 Some error format of API comments should be fixed.

From: @zhang_yi2020
Reviewed-by: @gemini524,@wuxuejian,@liangchenghui
Signed-off-by: @wuxuejian,@liangchenghui

mindspore/dataset/engine/datasets.py

@@ -1752,9 +1752,7 @@ class MappableDataset(SourceDataset):
                 If after rounding:
 
                 - Any size equals 0, an error will occur.
-
                 - The sum of split sizes < K, the difference will be added to the first split.
-
                 - The sum of split sizes > K, the difference will be removed from the first large
                   enough split such that it will have at least 1 row after removing the difference.
 

mindspore/nn/layer/normalization.py

@@ -915,7 +915,7 @@ class InstanceNorm2d(Cell):
     Supported Platforms:
         ``GPU``
 
-    Raise:
+    Raises:
         TypeError: If `num_features` is not an int.
         TypeError: If `eps` is not a float.
         TypeError: If `momentum` is not a float.

mindspore/numpy/math_ops.py

@@ -818,11 +818,11 @@ def tensordot(a, b, axes=2):
     `a` and the first `N` dimensions of `b` are summed over.
     Three common use cases are:
 
-        ``axes = 0`` : tensor product
+    - ``axes = 0`` : tensor product
 
-        ``axes = 1`` : tensor dot product
+    - ``axes = 1`` : tensor dot product
 
-        ``axes = 2`` : (default) tensor double contraction
+    - ``axes = 2`` : (default) tensor double contraction
 
     When axes is integer_like, the sequence for evaluation will be: first the `-Nth`
     axis in `a` and 0th axis in `b`, and the -1th axis in `a` and `Nth` axis in `b` last.

mindspore/ops/operations/nn_ops.py

@@ -521,7 +521,7 @@ class ReLUV2(PrimitiveWithInfer):
 
     Raises:
         TypeError: If `input_x`, `output` or `mask` is not a Tensor.
-        TypeError: If dtype of `output` is not same as `input_x`.
+        TypeError: If dtype of `output` is not same as `input_x` .
         TypeError: If dtype of `mask` is not unit8.
 
     Supported Platforms: