block17.py

def dec_block(in_f, out_f):
    return nn.Sequential(
        nn.Linear(in_f, out_f),
        nn.Sigmoid()
    )

class MyCNNClassifier(nn.Module):
    def __init__(self, in_c, enc_sizes, dec_sizes,  n_classes):
        super().__init__()
        self.enc_sizes = [in_c, *enc_sizes]
        self.dec_sizes = [32 * 28 * 28, *dec_sizes]

        conv_blokcs = [conv_block(in_f, out_f, kernel_size=3, padding=1) 
                       for in_f, out_f in zip(self.enc_sizes, self.enc_sizes[1:])]
        
        self.encoder = nn.Sequential(*conv_blokcs)

        
        dec_blocks = [dec_block(in_f, out_f) 
                       for in_f, out_f in zip(self.dec_sizes, self.dec_sizes[1:])]
        
        self.decoder = nn.Sequential(*dec_blocks)
        
        self.last = nn.Linear(self.dec_sizes[-1], n_classes)

        
    def forward(self, x):
        x = self.encoder(x)
        
        x = x.view(x.size(0), -1) # flat
        
        x = self.decoder(x)
        
        return x