vrakesh closed pull request #13272: Fixed ndarray reshape errors
URL: https://github.com/apache/incubator-mxnet/pull/13272
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diff --git a/python/mxnet/ndarray/ndarray.py b/python/mxnet/ndarray/ndarray.py
index 112fd56af67..6313c5e23bf 100644
--- a/python/mxnet/ndarray/ndarray.py
+++ b/python/mxnet/ndarray/ndarray.py
@@ -949,64 +949,44 @@ def reshape(self, *shape, **kwargs):
``np.prod(new_shape)`` should be equal to ``np.prod(self.shape)``.
Some dimensions of the shape can take special values from the set
{0, -1, -2, -3, -4}.
The significance of each is explained below:
-
- ``0`` copy this dimension from the input to the output shape.
-
- Example::
-
- - input shape = (2,3,4), shape = (4,0,2), output shape = (4,3,2)
- - input shape = (2,3,4), shape = (2,0,0), output shape = (2,3,4)
-
+ Example::
+ - input shape = (2,3,4), shape = (4,0,2), output shape = (4,3,2)
+ - input shape = (2,3,4), shape = (2,0,0), output shape = (2,3,4)
- ``-1`` infers the dimension of the output shape by using the
remainder of the
- input dimensions keeping the size of the new array same as that
of the input array.
- At most one dimension of shape can be -1.
-
- Example::
-
- - input shape = (2,3,4), shape = (6,1,-1), output shape = (6,1,4)
- - input shape = (2,3,4), shape = (3,-1,8), output shape = (3,1,8)
- - input shape = (2,3,4), shape=(-1,), output shape = (24,)
-
+ input dimensions keeping the size of the new array same as that of
the input array.
+ At most one dimension of shape can be -1.
+ Example::
+ - input shape = (2,3,4), shape = (6,1,-1), output shape = (6,1,4)
+ - input shape = (2,3,4), shape = (3,-1,8), output shape = (3,1,8)
+ - input shape = (2,3,4), shape=(-1,), output shape = (24,)
- ``-2`` copy all/remainder of the input dimensions to the output
shape.
-
- Example::
-
- - input shape = (2,3,4), shape = (-2,), output shape = (2,3,4)
- - input shape = (2,3,4), shape = (2,-2), output shape = (2,3,4)
- - input shape = (2,3,4), shape = (-2,1,1), output shape =
(2,3,4,1,1)
-
+ Example::
+ - input shape = (2,3,4), shape = (-2,), output shape = (2,3,4)
+ - input shape = (2,3,4), shape = (2,-2), output shape = (2,3,4)
+ - input shape = (2,3,4), shape = (-2,1,1), output shape =
(2,3,4,1,1)
- ``-3`` use the product of two consecutive dimensions of the
input shape as the
- output dimension.
-
- Example::
-
- - input shape = (2,3,4), shape = (-3,4), output shape = (6,4)
- - input shape = (2,3,4,5), shape = (-3,-3), output shape = (6,20)
- - input shape = (2,3,4), shape = (0,-3), output shape = (2,12)
- - input shape = (2,3,4), shape = (-3,-2), output shape = (6,4)
-
+ output dimension.
+ Example::
+ - input shape = (2,3,4), shape = (-3,4), output shape = (6,4)
+ - input shape = (2,3,4,5), shape = (-3,-3), output shape = (6,20)
+ - input shape = (2,3,4), shape = (0,-3), output shape = (2,12)
+ - input shape = (2,3,4), shape = (-3,-2), output shape = (6,4)
- ``-4`` split one dimension of the input into two dimensions
passed subsequent to
- -4 in shape (can contain -1).
-
- Example::
-
- - input shape = (2,3,4), shape = (-4,1,2,-2), output shape
=(1,2,3,4)
- - input shape = (2,3,4), shape = (2,-4,-1,3,-2), output shape =
(2,1,3,4)
-
+ -4 in shape (can contain -1).
+ Example::
+ - input shape = (2,3,4), shape = (-4,1,2,-2), output shape
=(1,2,3,4)
+ - input shape = (2,3,4), shape = (2,-4,-1,3,-2), output shape =
(2,1,3,4)
- If the argument `reverse` is set to 1, then the special values
are inferred from right
- to left.
-
- Example::
-
- - 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).
-
+ to left.
+ Example::
+ - 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).
reverse : bool, default False
If true then the special values are inferred from right to left.
Only supported as
keyword argument.
-
Returns
-------
NDArray
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