aljaz/DALLE2-pytorch
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be able to turn off p2 loss reweighting for upsamplers

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Phil Wang
2022-06-20 09:43:31 -07:00
parent fc7abf624d
commit f545ce18f4
2 changed files with 6 additions and 3 deletions
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7
dalle2_pytorch/dalle2_pytorch.py
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@@ -1866,14 +1866,17 @@ class Decoder(nn.Module):
if not exists(beta_schedule): if not exists(beta_schedule):
beta_schedule = ('cosine', *(('cosine',) * max(num_unets - 2, 0)), *(('linear',) * int(num_unets > 1))) beta_schedule = ('cosine', *(('cosine',) * max(num_unets - 2, 0)), *(('linear',) * int(num_unets > 1)))
beta_schedule = cast_tuple(beta_schedule, num_unets)
p2_loss_weight_gamma = cast_tuple(p2_loss_weight_gamma, num_unets)
self.noise_schedulers = nn.ModuleList([]) self.noise_schedulers = nn.ModuleList([])
for unet_beta_schedule in beta_schedule: for unet_beta_schedule, unet_p2_loss_weight_gamma in zip(beta_schedule, p2_loss_weight_gamma):
noise_scheduler = NoiseScheduler( noise_scheduler = NoiseScheduler(
beta_schedule = unet_beta_schedule, beta_schedule = unet_beta_schedule,
timesteps = timesteps, timesteps = timesteps,
loss_type = loss_type, loss_type = loss_type,
p2_loss_weight_gamma = p2_loss_weight_gamma, p2_loss_weight_gamma = unet_p2_loss_weight_gamma,
p2_loss_weight_k = p2_loss_weight_k p2_loss_weight_k = p2_loss_weight_k
) )

2
dalle2_pytorch/version.py
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@@ -1 +1 @@
__version__ = '0.11.1' __version__ = '0.11.2'