ValueError: weight_norm of 'weight' not found in ParametrizedConvTranspose1d about pytorch HOT 1 OPEN

The trigger for this was a deprecation message warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.").
If we look at weight_norm's documentation, it doesn't mention that we now have to use remove_parametrizations. I found out about that fact by trying to diff nn/utils/weight_norm.py nn/utils/parametrizations.py and noticing that the documentation, in the code, for weight_norm() says

* To remove the weight normalization reparametrization, use
   :func:`torch.nn.utils.parametrize.remove_parametrizations`.

Starting from torch.nn, it appears that the link for weight_norm is broken as it doesn't bring weight_norm's documentation but rather simply brings us to the end of the page. But if we search for weight_norm and then click on torch.nn.utils.parametrizations.weight_norm, we get some documentation but no mention of having to use remove_paramatrizations() like it is said in the code itself.

Using weight_norm() with remove_parametrizations() we get the expected behavior.

#!/usr/bin/env  python3
# coding: utf-8
#
from torch.nn import ConvTranspose1d
from torch.nn.utils.parametrizations import weight_norm
from torch.nn.utils.parametrize import remove_parametrizations

c = ConvTranspose1d(512, 256, kernel_size=(16,), stride=(8,), padding=(4,))
print(c)
m = weight_norm(c)
print(m)
remove_parametrizations(m, "weight")

ConvTranspose1d(512, 256, kernel_size=(16,), stride=(8,), padding=(4,))
ParametrizedConvTranspose1d(
  512, 256, kernel_size=(16,), stride=(8,), padding=(4,)
  (parametrizations): ModuleDict(
    (weight): ParametrizationList(
      (0): _WeightNorm()
    )
  )
)

from pytorch.