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Use devices.autocast instead of torch.autocast

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brkirch
2022-11-28 21:36:35 -05:00
parent 21effd629d
commit 4d5f1691dd
5 changed files with 6 additions and 11 deletions
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4
modules/textual_inversion/dataset.py
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@@ -82,7 +82,7 @@ class PersonalizedBase(Dataset):
torchdata = torch.from_numpy(npimage).permute(2, 0, 1).to(device=device, dtype=torch.float32)
latent_sample = None
with torch.autocast("cuda"):
with devices.autocast():
latent_dist = model.encode_first_stage(torchdata.unsqueeze(dim=0))
if latent_sampling_method == "once" or (latent_sampling_method == "deterministic" and not isinstance(latent_dist, DiagonalGaussianDistribution)):
@@ -101,7 +101,7 @@ class PersonalizedBase(Dataset):
entry.cond_text = self.create_text(filename_text)
if include_cond and not (self.tag_drop_out != 0 or self.shuffle_tags):
with torch.autocast("cuda"):
with devices.autocast():
entry.cond = cond_model([entry.cond_text]).to(devices.cpu).squeeze(0)
self.dataset.append(entry)