Create a constant sampleable tensor-valued function of time.
constant (number or np.ndarray or Tensor) – The constant value \(c\) of the function.
To create a batch of \(B_1 \times \ldots \times B_n\) constant
functions of shape \(D_1 \times \ldots \times D_m\), provide this constant
parameter as an object of shape
\(B_1\times\ldots\times B_n\times D_1\times\ldots\times D_m\).
batch_dimension_count (int, optional) – The number of batch dimensions, \(n\), in constant.
If provided, the first \(n\) dimensions of constant are considered batch dimensions.
Defaults to 0, which corresponds to no batch.
An Stf representing the constant function \(f(t) = c\) for all time
\(t\) (or a batch of functions, if you provide batch_dimension_count).
Corresponding operation for Pwcs.
Create a constant sampleable function from operators.
Create an Stf representing the identity function.
For more information on Stf nodes see the Working with time-dependent functions in
Boulder Opal topic.