Input is not contiguous for some models (Low priority)

[hill-a]

DenseVAE in ./models/models.py, has an issue when run on CPU

It seems that x is not contiguous when training the VAE with --model_type mlp from the raw pixels

def encode(self, x):
        # Flatten input
        x = x.view(x.size(0), -1)
        x = self.relu(self.encoder_fc1(x))
        return self.encoder_fc21(x), self.encoder_fc22(x)

As explained https://discuss.pytorch.org/t/runtimeerror-input-is-not-contiguous/930 , the simple fix is

def encode(self, x):
        # Flatten input
        x = x.contiguous()
        x = x.view(x.size(0), -1)
        x = self.relu(self.encoder_fc1(x))
        return self.encoder_fc21(x), self.encoder_fc22(x)

However, i'm opening an issue, as I am not sure where else this error can occur, nor why it does occur.