update example of some operations.

mindspore/nn/layer/embedding.py

@@ -166,7 +166,6 @@ class EmbeddingLookup(Cell):
         >>> print(result)
         [[[ 0.00856617  0.01039034]
           [ 0.00196276 -0.00094072]]
-
          [[ 0.01279703  0.00078912]
           [ 0.00084863 -0.00742412]]]
     """

mindspore/nn/layer/normalization.py

@@ -377,10 +377,8 @@ class BatchNorm2d(_BatchNorm):
         >>> print(output)
         [[[[171.99915   46.999763 ]
            [116.99941  191.99904  ]]
-
           [[ 66.999664 250.99875  ]
            [194.99902  102.99948  ]]
-
           [[  8.999955 210.99895  ]
            [ 20.999895 241.9988   ]]]]
     """
@@ -481,10 +479,8 @@ class GlobalBatchNorm(_BatchNorm):
         >>> print(output)
         [[[[171.99915    46.999763]
            [116.99941   191.99904 ]]
-
           [[ 66.999664  250.99875 ]
            [194.99902   102.99948 ]]
-
           [[  8.999955  210.99895 ]
            [ 20.9999895 241.9988  ]]]]
     """

mindspore/nn/metrics/fbeta.py

@@ -38,6 +38,8 @@ class Fbeta(Metric):
         >>> metric = nn.Fbeta(1)
         >>> metric.update(x, y)
         >>> fbeta = metric.eval()
+        >>> print(fbeta)
+        [0.66666667  0.66666667]
     """
     def __init__(self, beta):
         super(Fbeta, self).__init__()