models.py [29:41]:
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            ),
            torch.nn.ReLU(),
            torch.nn.Dropout(dropout),
        )
        self.fc = torch.nn.Sequential(
            torch.nn.Linear(fc_size, fc_size),
            torch.nn.ReLU(),
            torch.nn.Dropout(dropout),
            torch.nn.Linear(fc_size, fc_size),
            torch.nn.Dropout(dropout),
        )
        self.instance_norms = torch.nn.ModuleList(
            [
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models.py [180:192]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
            ),
            torch.nn.ReLU(),
            torch.nn.Dropout(dropout),
        )
        self.fc = torch.nn.Sequential(
            torch.nn.Linear(fc_size, fc_size),
            torch.nn.ReLU(),
            torch.nn.Dropout(dropout),
            torch.nn.Linear(fc_size, fc_size),
            torch.nn.Dropout(dropout),
        )
        self.instance_norms = torch.nn.ModuleList(
            [
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