SNDCGAN implementation is different from the architecture described in SN paper

[Junsoo Ha]

compare_gan/compare_gan/architectures/sndcgan.py

Lines 109 to 121 in 19922d3

 net = conv2d(x, 64, 3, 3, 1, 1, name="d_conv1", use_sn=use_sn) 
 net = lrelu(net, leak=0.1) 
 net = conv2d(net, 128, 4, 4, 2, 2, name="d_conv2", use_sn=use_sn) 
 net = lrelu(net, leak=0.1) 
 net = conv2d(net, 128, 3, 3, 1, 1, name="d_conv3", use_sn=use_sn) 
 net = lrelu(net, leak=0.1) 
 net = conv2d(net, 256, 4, 4, 2, 2, name="d_conv4", use_sn=use_sn) 
 net = lrelu(net, leak=0.1) 
 net = conv2d(net, 256, 3, 3, 1, 1, name="d_conv5", use_sn=use_sn) 
 net = lrelu(net, leak=0.1) 
 net = conv2d(net, 512, 4, 4, 2, 2, name="d_conv6", use_sn=use_sn) 
 net = lrelu(net, leak=0.1) 
 net = conv2d(net, 512, 3, 3, 1, 1, name="d_conv7", use_sn=use_sn) 

Spectral Normalization paper uses 64-64-128-128-256-256-512 conv blocks for D. However, this repo's D is using 64-128-128-256-256-512-512 conv blocks, which is larger.

[Junsoo Ha]

Considering that this is mentioned in the paper, I guess this is an intended design, not a bug! Sorry for bothering!