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fix generation batching and single process accelerator bugs #110

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fix generation batching and single process accelerator bugs #110

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3 changes: 2 additions & 1 deletion eval_llada.py
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Original file line number Diff line number Diff line change
Expand Up @@ -274,7 +274,8 @@ def _tokenize(e):
generated_answer = self.tokenizer.decode(generated_answer_ids, skip_special_tokens=True)
out.append(generated_answer)

self.accelerator.wait_for_everyone()
if self.accelerator is not None:
self.accelerator.wait_for_everyone()

return out

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2 changes: 1 addition & 1 deletion generate.py
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Expand Up @@ -55,7 +55,7 @@ def generate(model, prompt, steps=128, gen_length=128, block_length=128, tempera
remasking: Remasking strategy. 'low_confidence' or 'random'.
mask_id: The toke id of [MASK] is 126336.
'''
x = torch.full((1, prompt.shape[1] + gen_length), mask_id, dtype=torch.long).to(model.device)
x = torch.full((prompt.shape[0], prompt.shape[1] + gen_length), mask_id, dtype=torch.long).to(model.device)
x[:, :prompt.shape[1]] = prompt.clone()

prompt_index = (x != mask_id)
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