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The abs(t) command computes the abs of entries in a Tensor.

The ceil(t) command computes the complex ceil of entries in a Tensor.

The erf(t) command computes the erf of entries in a Tensor.

The erfc(t) command computes the erfc of entries in a Tensor.

The exp(t) command computes the exponential of entries in a Tensor.

The floor(t) command computes the floor of entries in a Tensor.

The log(t) command computes the logarithm of entries in a Tensor.

The lnGAMMA(t) command computes the lnGAMMA of entries in a Tensor.

The Psi(t) command computes the Psi of entries in a Tensor.

The round(t) command computes the rounded value of entries in a Tensor.

The sign(t) command computes the sign of entries in a Tensor.

The sqrt(t) command computes the square root of entries in a Tensor.

The Zeta(t) command computes the Hurwitz zeta of entries in a Tensor.

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

$V≔\mathrm{Matrix}\left(\left[\left[11.0\,18.3\right]\,\left[12.1\,20.3\right]\right]\,\mathrm{datatype}=\mathrm{float}\left[8\right]\right)$

$V≔\left[\begin{array}{cc}11.& 18.3000000000000\\ 12.1000000000000& 20.3000000000000\end{array}\right]$

$t≔\mathrm{Tensor}\left(V\right)$

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

$\mathrm{abs}\left(t\right)$

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

$\mathrm{ceil}\left(t\right)$

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

$\mathrm{erf}\left(t\right)$

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

$\exp \left(t\right)$

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

$\mathrm{round}\left(t\right)$

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

The DeepLearning/Tensor/abs, DeepLearning/Tensor/ceil, DeepLearning/Tensor/erf, DeepLearning/Tensor/erfc, DeepLearning/Tensor/exp, DeepLearning/Tensor/floor, DeepLearning/Tensor/log, DeepLearning/Tensor/lnGAMMA, DeepLearning/Tensor/Psi, DeepLearning/Tensor/round, DeepLearning/Tensor/sign, DeepLearning/Tensor/sqrt and DeepLearning/Tensor/Zeta commands were introduced in Maple 2018.

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