eric-haibin-lin closed pull request #13165: Addressed doc issues
URL: https://github.com/apache/incubator-mxnet/pull/13165
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diff --git a/python/mxnet/gluon/nn/basic_layers.py b/python/mxnet/gluon/nn/basic_layers.py
index c95601c6f79..199e396ac82 100644
--- a/python/mxnet/gluon/nn/basic_layers.py
+++ b/python/mxnet/gluon/nn/basic_layers.py
@@ -663,20 +663,21 @@ class HybridLambda(HybridBlock):
----------
function : str or function
Function used in lambda must be one of the following:
- 1) the name of an operator that is available in both symbol and ndarray. For example::
+ 1) The name of an operator that is available in both symbol and ndarray. For example::
block = HybridLambda('tanh')
- 2) a function that conforms to "def function(F, data, *args)". For example::
+ 2) A function that conforms to ``def function(F, data, *args)``. For example::
block = HybridLambda(lambda F, x: F.LeakyReLU(x, slope=0.1))
Inputs:
- - ** *args **: one or more input data. First argument must be symbol or ndarray.
- Their shapes depend on the function.
+ - ** *args **: one or more input data. First argument must be symbol or ndarray. Their \
+ shapes depend on the function.
Output:
- ** *outputs **: one or more output data. Their shapes depend on the function.
+
"""
def __init__(self, function, prefix=None):
super(HybridLambda, self).__init__(prefix=prefix)
diff --git a/python/mxnet/ndarray/ndarray.py b/python/mxnet/ndarray/ndarray.py
index 112fd56af67..78ec0b91f88 100644
--- a/python/mxnet/ndarray/ndarray.py
+++ b/python/mxnet/ndarray/ndarray.py
@@ -998,7 +998,7 @@ def reshape(self, *shape, **kwargs):
Example::
- - without reverse=1, for input shape = (10,5,4), shape = (-1,0), output shape would be
+ - without reverse=1, for input shape = (10,5,4), shape = (-1,0), output shape would be \
(40,5).
- with reverse=1, output shape will be (50,4).
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