DeepLearning
Constant
create a constant Tensor
Calling Sequence
Parameters
Options
Description
Examples
Compatibility
Constant(c,opts)
c
-
real or complex constant, Matrix, Vector, or list
opts
zero or more options as specified below
datatype=one of string,truefalse,integer[4],integer[8],float[4],float[8],complex[4], or complex[8]
The value of option datatype specifies the type of data this Tensor will hold. By default, the datatype is inferred from the value c.
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 Constant(c) command creates a Tensor in the active dataflow graph whose value is the constant value c.
This function is part of the DeepLearning package, so it can be used in the short form Constant(..) only after executing the command with(DeepLearning). However, it can always be accessed through the long form of the command by using DeepLearning[Constant](..).
with⁡DeepLearning:
Define a constant Tensor and evaluate it in the current session.
t1≔Constant⁡2.0
t1≔DeepLearning TensorShape: []Data Type: float[4]
t2≔Constant⁡1+2⁢I,3+4⁢I,1−2⁢I,5−7⁢I
t2≔DeepLearning TensorShape: [4, 1]Data Type: complex[8]
The DeepLearning[Constant] command was introduced in Maple 2018.
For more information on Maple 2018 changes, see Updates in Maple 2018.
See Also
DeepLearning Overview
Download Help Document