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# @package _group_
name: default
G_kwargs:
class_name: "training.networks.Generator"
z_dim: 512
w_dim: 512
mapping_kwargs:
num_layers: ${spec.map}
synthesis_kwargs:
num_fp16_res: ${num_fp16_res}
channel_base: ${spec.fmaps}
channel_max: 512
conv_clamp: 256
architecture: skip
D_kwargs:
class_name: "training.networks.Discriminator"
epilogue_kwargs:
mbstd_group_size: ${spec.mbstd}
num_fp16_res: ${num_fp16_res}
channel_base: ${spec.fmaps}
channel_max: 512
conv_clamp: 256
architecture: resnet
# loss kwargs
loss_kwargs:
pl_batch_shrink: 2
pl_decay: 0.01
pl_weight: 2
style_mixing_prob: 0.9 |