aesara.tensor.tile#
- aesara.tensor.tile(x, reps, ndim=None)[source]#
Tile input array
x
according toreps
.See the docstring of
numpy.tile
for details.‘reps’ can be constant integer (e.g. 3), constant vector(e.g. [2 3]), symbolic scalar (e.g. tensor.iscalar()), symbolic vector (e.g. tensor.ivector()) or a list of symbolic scalar (e.g. [tensor.iscalar(), tensor.iscalar()]).
ndim is the number of the dimensions of the output, if it is provided, ndim should be equal or larger than x.ndim and len(reps), otherwise, we will use max(x.ndim, len(reps)) as ndim. If reps is symbolic vector, the ndim has to be provided.