Method forward

intermediate_source/parametrizations.py:69–71

(self, x)

        self.weight = nn.Parameter(torch.rand(n_features, n_features))

    def forward(self, x):
        A = symmetric(self.weight)
        return x @ A

###############################################################################
# The layer can be then used as a regular linear layer