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Fix train.py for Adam optimizer betas type error #657

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Fix train.py for Adam optimizer betas type error #657

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14 changes: 12 additions & 2 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -189,8 +189,18 @@ def main(**kwargs):
c = dnnlib.EasyDict() # Main config dict.
c.G_kwargs = dnnlib.EasyDict(class_name=None, z_dim=512, w_dim=512, mapping_kwargs=dnnlib.EasyDict())
c.D_kwargs = dnnlib.EasyDict(class_name='training.networks_stylegan2.Discriminator', block_kwargs=dnnlib.EasyDict(), mapping_kwargs=dnnlib.EasyDict(), epilogue_kwargs=dnnlib.EasyDict())
c.G_opt_kwargs = dnnlib.EasyDict(class_name='torch.optim.Adam', betas=[0,0.99], eps=1e-8)
c.D_opt_kwargs = dnnlib.EasyDict(class_name='torch.optim.Adam', betas=[0,0.99], eps=1e-8)
c.G_opt_kwargs = dnnlib.EasyDict(
class_name='torch.optim.Adam',
betas=(0.0, 0.99), # <-- use tuple, not list
eps=1e-8
)

c.D_opt_kwargs = dnnlib.EasyDict(
class_name='torch.optim.Adam',
betas=(0.0, 0.99), # <-- use tuple, not list
eps=1e-8
)

c.loss_kwargs = dnnlib.EasyDict(class_name='training.loss.StyleGAN2Loss')
c.data_loader_kwargs = dnnlib.EasyDict(pin_memory=True, prefetch_factor=2)

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