From 6b10de02204c0bd91ad71f94d71fd238dbcbb971 Mon Sep 17 00:00:00 2001
From: wangshuide2020 <7511764+wangshuide2020@user.noreply.gitee.com>
Date: Tue, 9 Feb 2021 10:29:31 +0800
Subject: [PATCH] update the example of Unique and EditDistance and
 registration info of BiasAddGrad

---
 mindspore/ops/operations/array_ops.py | 4 +---
 mindspore/ops/operations/nn_ops.py    | 4 ++--
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/mindspore/ops/operations/array_ops.py b/mindspore/ops/operations/array_ops.py
index b882fb3954..1224a5263a 100644
--- a/mindspore/ops/operations/array_ops.py
+++ b/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)
@@ -4625,11 +4624,10 @@ 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
         ...
diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py
index e382152ef5..9651cc44e5 100644
--- a/mindspore/ops/operations/nn_ops.py
+++ b/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``