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fix AND broken for long prompts

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AUTOMATIC 2022-10-08 15:43:25 +03:00
parent 77f4237d1c
commit 7001bffe02
1 changed files with 9 additions and 0 deletions
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9
modules/prompt_parser.py
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@ -239,6 +239,15 @@ def reconstruct_multicond_batch(c: MulticondLearnedConditioning, current_step):
conds_list.append(conds_for_batch)
# if prompts have wildly different lengths above the limit we'll get tensors fo different shapes
# and won't be able to torch.stack them. So this fixes that.
token_count = max([x.shape[0] for x in tensors])
for i in range(len(tensors)):
if tensors[i].shape[0] != token_count:
last_vector = tensors[i][-1:]
last_vector_repeated = last_vector.repeat([token_count - tensors[i].shape[0], 1])
tensors[i] = torch.vstack([tensors[i], last_vector_repeated])
return conds_list, torch.stack(tensors).to(device=param.device, dtype=param.dtype)