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The Tile(t,multiples) command constructs a Tensor by tiling a given Tensor multiple times.

This operation creates a new Tensor by replicating input multiples times.

The size of the list multiples must correspond with the number of dimensions of t. For each i, multiples[i] specifies the number of repetitions in dimension i.

$\mathrm{with}\left(\mathrm{DeepLearning}\right)\:$

$\mathrm{t1}≔\mathrm{Constant}\left(⟨⟨1.\,2.⟩\|⟨3.\,4.⟩⟩\right)$

$\mathrm{t1}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2,\; 2]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{t2}≔\mathrm{Tile}\left(\mathrm{t1}\,\left[2\,3\right]\right)$

$\mathrm{t2}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [4,\; 6]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{Shape}\left(\mathrm{t2}\right)$

$\left[4\,6\right]$

The DeepLearning/Tensor/Tile command was introduced in Maple 2018.

For more information on Maple 2018 changes, see Updates in Maple 2018.