BigGAN_PyTorch/BigGAN.py [92:118]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        dim_z=128,
        bottom_width=4,
        resolution=128,
        G_kernel_size=3,
        G_attn="64",
        n_classes=1000,
        num_G_SVs=1,
        num_G_SV_itrs=1,
        G_shared=True,
        shared_dim=0,
        hier=False,
        cross_replica=False,
        mybn=False,
        G_activation=nn.ReLU(inplace=False),
        G_lr=5e-5,
        G_B1=0.0,
        G_B2=0.999,
        adam_eps=1e-8,
        BN_eps=1e-5,
        SN_eps=1e-12,
        G_mixed_precision=False,
        G_fp16=False,
        G_init="ortho",
        skip_init=False,
        no_optim=False,
        G_param="SN",
        norm_style="bn",
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



BigGAN_PyTorch/BigGANdeep.py [138:164]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        dim_z=128,
        bottom_width=4,
        resolution=128,
        G_kernel_size=3,
        G_attn="64",
        n_classes=1000,
        num_G_SVs=1,
        num_G_SV_itrs=1,
        G_shared=True,
        shared_dim=0,
        hier=False,
        cross_replica=False,
        mybn=False,
        G_activation=nn.ReLU(inplace=False),
        G_lr=5e-5,
        G_B1=0.0,
        G_B2=0.999,
        adam_eps=1e-8,
        BN_eps=1e-5,
        SN_eps=1e-12,
        G_mixed_precision=False,
        G_fp16=False,
        G_init="ortho",
        skip_init=False,
        no_optim=False,
        G_param="SN",
        norm_style="bn",
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -