- class Pwc(operation, value_shape, durations, batch_shape)
A piecewise-constant tensor-valued function of time (or batch of such functions).
You can use the arithmetic operators
@to perform operations between two Pwc objects or between a Pwc and a Tensor.
values (Tensor) – The values of the function on the piecewise-constant segments.
durations (np.ndarray) – The durations of the constant segments.
value_shape (tuple) – The shape of the function value.
batch_shape (tuple) – The shape of the batch in the function.
name (str) – The name assigned to the node.
Operation to create piecewise-constant functions.
The value of a Pwc node can be fetched in a graph calculation by adding its name in the output_node_names parameter for the function call. This will add an item to the output dictionary in the calculation result object, whose key is name. The item’s value will be a list of dictionaries, with the “duration” and “value” of the piecewise-constant function at each segment. Batch dimensions of the function will be represented as outer lists.
For more information on Pwc nodes see the Working with time-dependent functions in Boulder Opal topic.