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Include padding mask in generation #2096
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rshraga
reviewed
Mar 7, 2023
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| def greedy_search( | ||
| self, input_ids: torch.Tensor, max_length: int, eos_idx: int, pad_idx: Optional[int] = None, **model_kwargs | ||
| self, input_ids: torch.Tensor, max_length: int, eos_idx: int, pad_idx: int, **model_kwargs |
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Does changing pas_idx from Optional to required break any call sites?
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Nope. Only being called from the entry point method atm.
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| # Append the next tokens to the previous tokens | ||
| input_ids = torch.cat([input_ids, next_tokens], dim=-1) | ||
| input_ids = torch.cat([input_ids, next_tokens[:, None]], dim=-1) |
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what does the [:, None] do here?
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Same thing as unsqueezing the last dim
Nayef211
reviewed
Mar 7, 2023
| tokens_for_single_example = generation_model.generate(inputs, num_beams=1, max_length=30) | ||
| generated_text_for_single_example = self.transform.decode(tokens_for_single_example.tolist()) | ||
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| self.assertEqual(generated_text[0], generated_text_for_single_example[-1]) |
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Why do we do generated_text_for_single_example[-1] instead of generated_text_for_single_example[0]?
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Was originally going to pass multiple through the second pass, but did not. Both get the same result though. -1 == 0
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Bug
Expect batched input to match single input e.g.
Before this would not create the same output1. The issue was that the src_key_padding_mask was not being propagated forward.
Fix
Create padding mask and add it to
model_kwargsand pass it to the forward function.