`RandomPermute`¶

Return an array that has the items in the given array permuted along the first axis.

If deterministic results are sought, pass in a seed; see also CreateRandomSeed for documentation on how seeds are best managed. The node supports alternative compute backends, which can be used to speed up processing. Version 0.8.0

Ports/Properties¶

`array`¶

Array to permute.

verbose name: Array
default value: None
port type: DataPort
value type: AnyArray (can be None)
data direction: INOUT

`seed`¶

Random seed for deterministic results.

verbose name: Seed
default value: None
port type: DataPort
value type: AnyArray (can be None)
data direction: IN

`backend`¶

Optional compute backend to use. Keep is the current default, which resolves to that of the provided array and otherwise numpy unless overridden. Numpy is the standard CPU backend that underpins most of NeuroPype's operations. The others require one or more GPUs to be present on the system, except for torch-cpu. For best performance, keep all arrays that interact with each other (via processing nodes) on the same backend.

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)

RandomPermute¶

Ports/Properties¶

array¶

seed¶

backend¶

set_breakpoint¶