!12298 update the example of Unique and EditDistance and registration info of BiasAddGrad.

From: @wangshuide2020
Reviewed-by: 
Signed-off-by:

mindspore/ops/operations/array_ops.py

@@ -767,7 +767,6 @@ class Unique(Primitive):
         ...         return output, indices
         ...
         >>> x = Tensor(np.array([1, 2, 5, 2]), mindspore.int32)
-        >>> context.set_context(mode=context.GRAPH_MODE)
         >>> net = UniqueNet()
         >>> output = net(x)
         >>> print(output)
@@ -4613,11 +4612,10 @@ class EditDistance(PrimitiveWithInfer):
         >>> from mindspore import Tensor
         >>> import mindspore.nn as nn
         >>> import mindspore.ops.operations as ops
-        >>> context.set_context(mode=context.GRAPH_MODE)
         >>> class EditDistance(nn.Cell):
         ...     def __init__(self, hypothesis_shape, truth_shape, normalize=True):
         ...         super(EditDistance, self).__init__()
-        ...         self.edit_distance = P.EditDistance(normalize)
+        ...         self.edit_distance = ops.EditDistance(normalize)
         ...         self.hypothesis_shape = hypothesis_shape
         ...         self.truth_shape = truth_shape
         ...

mindspore/ops/operations/nn_ops.py

@@ -4887,9 +4887,9 @@ class BinaryCrossEntropy(PrimitiveWithInfer):
         Otherwise, the output is a scalar.
 
     Raises:
-        TypeError: If dtype of `input_x`, `input_y` or `weight`(if given) is neither float16 not float32.
+        TypeError: If dtype of `input_x`, `input_y` or `weight` (if given) is neither float16 not float32.
         ValueError: If `reduction` is not one of 'none', 'mean', 'sum'.
-        ValueError: If shape of `input_y` is not the same as `input_x` or `weight`(if given).
+        ValueError: If shape of `input_y` is not the same as `input_x` or `weight` (if given).
 
     Supported Platforms:
         ``Ascend`` ``GPU`` ``CPU``