`BICUBIC` works against the doc of `ElasticTransform()`

[hyperkai]

🐛 Describe the bug

The doc of ElasticTransform() says that only NEAREST and BILINEAR are supported:

Parameters: ...

• interpolation (InterpolationMode, optional) – ... If input is Tensor, only InterpolationMode.NEAREST, InterpolationMode.BILINEAR are supported. ...

But BICUBIC work against the doc as shown below:

from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import ElasticTransform, PILToTensor

origin_data = OxfordIIITPet(
    root="data"
)

def show_etimagetensor(im, ip=None):
    et = ElasticTransform(interpolation=ip)
    ptt = PILToTensor()
    print(ptt(et(im))[0][279])

show_etimagetensor(im=origin_data[0][0], ip=InterpolationMode.BICUBIC)
# tensor([  6,   8,   6,   8,   8,   8,   9,   8,   7,   6,
#           4,   8,   5,  13,   7,   8,   3,   8,   6,   9,   
#           8,   7,   9,   9,   9, ..., 239, 237,  11], dtype=torch.uint8)

Versions

import torchvision

torchvision.__version__ # '0.20.1'

[AntoineSimoulin]

Hey @hyperkai, thank you for opening this issue. After reviewing the details, I suggest we consolidate the discussion with #9065, as it appears to be closely related.

[NicolasHug]

Feel free to submit a PR to clarify the docs @hyperkai .