From 4d5f1691dda971ec7b461dd880426300fd54ccee Mon Sep 17 00:00:00 2001 From: brkirch Date: Mon, 28 Nov 2022 21:36:35 -0500 Subject: Use devices.autocast instead of torch.autocast --- modules/textual_inversion/dataset.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'modules/textual_inversion/dataset.py') diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py index e5725f33..2dc64c3c 100644 --- a/modules/textual_inversion/dataset.py +++ b/modules/textual_inversion/dataset.py @@ -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) -- cgit v1.2.3