remove unnecessary comment
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@ -103,15 +103,6 @@ class PersonalizedBase(Dataset):
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if include_cond and not (self.tag_drop_out != 0 or self.shuffle_tags):
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with torch.autocast("cuda"):
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entry.cond = cond_model([entry.cond_text]).to(devices.cpu).squeeze(0)
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# elif not include_cond:
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# _, _, _, _, hijack_fixes, token_count = cond_model.process_text([entry.cond_text])
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# max_n = token_count // 75
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# index_list = [ [] for _ in range(max_n + 1) ]
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# for n, (z, _) in hijack_fixes[0]:
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# index_list[n].append(z)
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# with torch.autocast("cuda"):
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# entry.cond = cond_model([entry.cond_text]).to(devices.cpu).squeeze(0)
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# entry.emb_index = index_list
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self.dataset.append(entry)
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del torchdata
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