define a placeholder for a Tensor
type or Tensor
(optional) dimensions of the placeholder
zero or more options as described below
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 Placeholder(val,shape) command creates a placeholder Tensor in the active dataflow graph.
The parameter val can be a type or a Tensor.
If val is a type, a value must be supplied for this placeholder when the the graph is executed.
Note that this command requires that eager execution be turned off beforehand using the SetEagerExecution command.
This function is part of the DeepLearning package, so it can be used in the short form Placeholder(..) only after executing the command with(DeepLearning). However, it can always be accessed through the long form of the command by using DeepLearning[Placeholder](..).
x ≔ Placeholder⁡float8
x≔DeepLearning TensorName: Placeholder:0Shape: undefinedData Type: float
y ≔ 3⁢x2
y≔DeepLearning TensorName: scalar_mul:0Shape: undefinedData Type: float
sess ≔ GetDefaultSession⁡
sess≔DeepLearning Session<tensorflow.python.client.session.InteractiveSession object at 0x7ff1742d3ee0>
The DeepLearning[Placeholder] command was introduced in Maple 2018.
For more information on Maple 2018 changes, see Updates in Maple 2018.
The DeepLearning[Placeholder] command was updated in Maple 2021.
The option was updated in Maple 2021.
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