A Session is an object which encapsulates the context in which Tensor objects within a DataflowGraph are evaluated.

There can be more than one Session for the same DataflowGraph, and each Session has its own state and resources.

To obtain the default computation session for the current graph, use the GetDefaultSession command.

To obtain a new session, use the Session command.

The following functions can be performed with a Session.

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

$\mathrm{t1}≔\mathrm{Variable}\left(\left[1.5\,2.0\right]\,\mathrm{datatype}=\mathrm{float}\left[8\right]\right)$

$\mathrm{t1}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Name:\; Variable:0}\\ \mathrm{Shape:\; undefined}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{t2}≔\mathrm{Variable}\left(\left[2.5\,6.0\right]\,\mathrm{datatype}=\mathrm{float}\left[8\right]\right)$

$\mathrm{t2}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Name:\; Variable:0}\\ \mathrm{Shape:\; undefined}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{t3}≔\mathrm{Variable}\left(\left[7.2\,4.2\right]\,\mathrm{datatype}=\mathrm{float}\left[8\right]\right)$

$\mathrm{t3}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Name:\; Variable:0}\\ \mathrm{Shape:\; undefined}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

The DeepLearning[SessionObject] command was introduced in Maple 2018.

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