`alpha` argument of `ElasticTransform()` should completely avoid negative values, giving error and the doc should have the explanation.

[hyperkai]

📚 The doc issue

Setting 1000 and -1000 to alpha argument of ElasticTransform() gets the same kind of results as shown below:

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

my_data = OxfordIIITPet(
    root="data"
)

import matplotlib.pyplot as plt

def show_images2(data, main_title=None, a=50, s=5, f=0):
    plt.figure(figsize=(10, 5))
    plt.suptitle(t=main_title, y=0.8, fontsize=14)
    for i, (im, _) in zip(range(1, 6), data):
        plt.subplot(1, 5, i)
        et = ElasticTransform(alpha=a, sigma=s, fill=f) # Here
        plt.imshow(X=et(im)) # Here
        plt.xticks(ticks=[])
        plt.yticks(ticks=[])
    plt.tight_layout()
    plt.show()

show_images2(data=my_data, main_title="alpha1000_data", a=1000) # Here
show_images2(data=my_data, main_title="alpha-1000_data", a=-1000) # Here

Suggest a potential alternative/fix

So, alphe argument should completely avoid negative values, giving error and the doc should have the explanation.