Setting the 1D list of 1 element to `RandomRotation()` and `RandomAffine()` works against an error message

[hyperkai]

🐛 Describe the bug

Setting the 1D list of 2 elements to RandomRotation() and RandomAffine() got the error message as shown below:

from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import RandomRotation
from torchvision.transforms.v2 import RandomAffine

my_data = OxfordIIITPet(
    root="data",
    transform=RandomRotation(degrees=[0.0, 0.0],
                             fill=[50.0, 50.0])
)

my_data[0] # Error

my_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0.0, 0.0],
                           fill=[50.0, 50.0])
)

my_data[0] # Error

ValueError: The number of elements in 'fill' does not match the number of channels of the image (2 != 3)

But setting the 1D list of 1 element to RandomRotation() and RandomAffine() works against the above error message as shown below:

from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import RandomRotation
from torchvision.transforms.v2 import RandomAffine

my_data = OxfordIIITPet(
    root="data",
    transform=RandomRotation(degrees=[0.0, 0.0],
                             fill=[50.0])
)

my_data[0]
# (<PIL.Image.Image image mode=RGB size=394x500>, 0)

my_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0.0, 0.0],
                           fill=[50.0])
)

my_data[0]
# (<PIL.Image.Image image mode=RGB size=394x500>, 0)

Versions

import torchvision

torchvision.__version__ # '0.20.1'