[BUG] - Incorrect output on Parametrizations Tutorial when leave_parametrized=False

Add Link

https://pytorch.org/tutorials/intermediate/parametrizations.html

Describe the bug

The code sample has no bug but the example output is wrong. The "weight" from after remove_parametrizations(layer, "weight", leave_parametrized=False) should be same as that from "Before" but instead it is shown as that of"Parametrized". I was confused until I tried out the code. It does change it back to the weights from "Before".

Before:
Linear(in_features=3, out_features=3, bias=True)
Parameter containing:
tensor([[-0.3447, -0.3777, 0.5038],
[ 0.2042, 0.0153, 0.0781],
[-0.4640, -0.1928, 0.5558]], requires_grad=True)

Parametrized:
ParametrizedLinear(
in_features=3, out_features=3, bias=True
(parametrizations): ModuleDict(
(weight): ParametrizationList(
(0): Skew()
)
)
)
tensor([[ 0.0000, -0.3777, 0.5038],
[ 0.3777, 0.0000, 0.0781],
[-0.5038, -0.0781, 0.0000]], grad_fn=)

After. Same as Before:
Linear(in_features=3, out_features=3, bias=True)
Parameter containing:
tensor([[ 0.0000, -0.3777, 0.5038],
[ 0.0000, 0.0000, 0.0781],
[ 0.0000, 0.0000, 0.0000]], requires_grad=True)

Describe your environment

Does not matter because there is no bug. It is just the output from the tutorial page.

Open the parametrizations tutorial at the linked URL and compare the displayed output after remove_parametrizations(layer, "weight", leave_parametrized=False) with the behavior of the sample code. Update the incorrect example output so it matches the restored weights, then verify the tutorial renders the corrected output.