- class torchvision.transforms.v2.RandomChoice(transforms: Sequence[Callable], p: Optional[List[float]] = None)¶
[BETA] Apply single transformation randomly picked from a list.
The RandomChoice transform is in Beta stage, and while we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes.
This transform does not support torchscript.
transforms (sequence or torch.nn.Module) – list of transformations
p (list of python:floats or None, optional) – probability of each transform being picked. If
pdoesn’t sum to 1, it is automatically normalized. If
None(default), all transforms have the same probability.
- forward(*inputs: Any) Any ¶
Defines the computation performed at every call.
Should be overridden by all subclasses.
Although the recipe for forward pass needs to be defined within this function, one should call the
Moduleinstance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.