name = string

The value of option name specifies an optional name for this Tensor, to be displayed in output and when visualizing the dataflow graph.

The ApplyOperation(oper,t1,...,tn,opts) command applies the operation oper to the arguments t1,...,tn with options opts

The arguments t1,...,tn may be complex numerics or Tensor objects.

The operation oper must be a valid, fully qualified, function name in the TensorFlow Python API. For a list of functions, consult the TensorFlow Python API Documentation.

For convenience the abbreviated syntax "tf." is also supported.

This function is part of the DeepLearning package, so it can be used in the short form ApplyOperation(..) only after executing the command with(DeepLearning). However, it can always be accessed through the long form of the command by using DeepLearning[ApplyOperation](..).

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

$\mathrm{t1}≔\mathrm{Constant}\left(\left[1.\,2.\right]\,\mathrm{datatype}=\mathrm{float}\left[4\right]\right)$

$\mathrm{t1}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2]}\\ \mathrm{Data\; Type:\; float[4]}\end{array}\right]$

$\mathrm{t2}≔\mathrm{Constant}\left(\left[3.\,4.\right]\,\mathrm{datatype}=\mathrm{float}\left[4\right]\right)$

$\mathrm{t2}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2]}\\ \mathrm{Data\; Type:\; float[4]}\end{array}\right]$

$\mathrm{t3}≔\mathrm{t1}+\mathrm{t2}$

$\mathrm{t3}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2]}\\ \mathrm{Data\; Type:\; float[4]}\end{array}\right]$

$\mathrm{t4}≔\mathrm{ApplyOperation}\left(''tf.add''\,\mathrm{t1}\,\mathrm{t2}\right)$

$\mathrm{t4}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2]}\\ \mathrm{Data\; Type:\; float[4]}\end{array}\right]$

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

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