discrepancy between the article and the code?

[paapu88]

When I read paper Le_Guen_Disentangling_Physical_Dynamics_CVPR_2020_supplemental.pdf for MNIST dataset there are 6 Encoder Blocks and 6 Decoder Blocks. When I read code from this repo for the MNIST dataset (the only we have here) it seems to me that there are only 3 Encoder Blocks and 3 Decoder Blocks.

So is there discrepancy between the code and the paper here, or have I misunderstood?

models/models.py

class EncoderRNN(torch.nn.Module):
    def __init__(self,phycell,convcell, device):
        super(EncoderRNN, self).__init__()
        self.encoder_E = encoder_E()   # general encoder 64x64x1 -> 32x32x32
        self.encoder_Ep = encoder_specific() # specific image encoder 32x32x32 -> 16x16x64
        self.encoder_Er = encoder_specific() 
        self.decoder_Dp = decoder_specific() # specific image decoder 16x16x64 -> 32x32x32 
        self.decoder_Dr = decoder_specific()     
        self.decoder_D = decoder_D()  # general decoder 32x32x32 -> 64x64x1