With p=0, setting a list of no transforms to transforms argument of RandomApply() doesn't get error #9023
Description
🐛 Describe the bug
With p=1, setting a list of no transforms to transforms argument of RandomApply() gets the error as shown below. *You can see this issue as well:
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import RandomApply
my_data = OxfordIIITPet(
root="data", # ↓↓↓↓↓↓↓
transform=RandomApply(transforms=[], p=1)
)
my_data[0][0] # ErrorUnboundLocalError: cannot access local variable 'outputs' where it is not associated with a value
But with p=0, setting a list of no transforms to transforms argument doesn't get error as shown below:
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import RandomApply
my_data = OxfordIIITPet(
root="data", # ↓↓↓↓↓↓↓
transform=RandomApply(transforms=[], p=0)
)
my_data[0][0] # No error
Versions
import torchvision
torchvision.__version__ # '0.20.1'