RandomSeedIterator¶
Iterate over an infinite series of random seeds that are derived from an initial seed.
You can use this in combination with e.g., a ZipIterator to iterate over both some data (or a finite counter) along with a sequence of random seeds. Version 0.8.0
Ports/Properties¶
curseed¶
Current seed.
- verbose name: Curseed
- default value: None
- port type: DataPort
- value type: AnyArray (can be None)
- data direction: OUT
initial_seed¶
Seed for generated random number sequence. This can be either a splittable seed as generated by Create Random Seed or a plain integer seed.
- verbose name: Initial Seed
- default value: None
- port type: Port
- value type: AnyNumeric (can be None)
backend¶
Optional compute backend for which to generate the seed. Keep is the current default, which is typically numpy, but which can be overridden in contexts that require it. Some backends (notably jax and tensorflow) require that the seed be generated using the same backend as the downstream random operation. For this reason, it is a good idea to use the same backend for both the seed management and the random operation to future-proof one's pipeline.
- verbose name: Backend
- default value: keep
- port type: EnumPort
- value type: str (can be None)
set_breakpoint¶
Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.
- verbose name: Set Breakpoint (Debug Only)
- default value: False
- port type: BoolPort
- value type: bool (can be None)
metadata¶
User-definable meta-data associated with the node. Usually reserved for technical purposes.
- verbose name: Metadata
- default value: {}
- port type: DictPort
- value type: dict (can be None)