The Assign(t,v) command assigns the Tensor value v to the mutable Tensor t.

The AssignAdd(t,v) and AssignSub(t,v) commands behave similarly but instead of simply replacing the previous value of t, they increment and decrement, respectively, the existing value of t by v.

If t is not a mutable Tensor, an error will be thrown.

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

$c≔\mathrm{Constant}\left(⟨⟨1.0\,2.0⟩|⟨3.0\,4.0⟩⟩\right)$

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

$t≔\mathrm{Variable}\left(⟨⟨0.\,0.⟩|⟨0.\,0.⟩⟩\right)$

$t≔\left[\begin{array}{c}\mathrm{DeepLearning\; Variable}\\ \mathrm{Name:\; Variable:0}\\ \mathrm{Shape:\; [2,\; 2]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{Assign}\left(t\,c\right)$

$\left[\begin{array}{c}\mathrm{DeepLearning\; Variable}\\ \mathrm{Name:\; UnreadVariable}\\ \mathrm{Shape:\; [2,\; 2]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

The DeepLearning/Tensor/Assign, DeepLearning/Tensor/AssignAdd and DeepLearning/Tensor/AssignSubtract commands were introduced in Maple 2018.

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