"""Expand operator tiles the input by given times number. You should set times
number for each dimension by providing attribute 'expand_times'. The rank of X
should be in [1, 6]. Please note that size of 'expand_times' must be the same
with X's rank. Following is a using case:
.. code-block:: text
Input(X) is a 3-D tensor with shape [2, 3, 1]:
[
[[1], [2], [3]],
[[4], [5], [6]]
]
Attr(expand_times): [1, 2, 2]
Output(Out) is a 3-D tensor with shape [2, 6, 2]:
[
[[1, 1], [2, 2], [3, 3], [1, 1], [2, 2], [3, 3]],
[[4, 4], [5, 5], [6, 6], [4, 4], [5, 5], [6, 6]]
]
Args:
x (Variable): A tensor with rank in [1, 6].
expand_times (list|tuple): Expand times number for each dimension.
Returns:
Variable: The expanded variable which is a LoDTensor. After expanding, size of each dimension of Output(Out) is equal to ithe size of the corresponding dimension of Input(X) multiplying the corresponding value given by expand_times.
Examples:
.. code-block:: python
x = fluid.layers.data(name='x', shape=[10], dtype='float32')
out = fluid.layers.expand(x=x, expand_times=[1, 2, 2])
