[BUG] - parametrizations tutorial no longer works in torch 2.0 (deprecated torch.solve API)

Add Link

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

Describe the bug

This fails

class CayleyMap(nn.Module):
    def __init__(self, n):
        super().__init__()
        self.register_buffer("Id", torch.eye(n))

    def forward(self, X):
        # (I + X)(I - X)^{-1}
        return torch.solve(self.Id + X, self.Id - X).solution #### Broken
        #return torch.linalg.solve(self.Id + X, self.Id - X)

layer = nn.Linear(3, 3)
parametrize.register_parametrization(layer, "weight", Skew())
parametrize.register_parametrization(layer, "weight", CayleyMap(3))
X = layer.weight
print(torch.dist(X.T @ X, torch.eye(3)))  # X is orthogonal

The offending line should be replaced by

return torch.linalg.solve(self.Id + X, self.Id - X)

Describe your environment

colab, CPU mode, torch 2.0.0+cu118

Open the parametrizations tutorial at the linked URL and find the CayleyMap example. Run the snippet with the reported PyTorch environment, update the deprecated torch.solve call as indicated, and rerun it to confirm the orthogonality check succeeds.