Handle char level tokenization #11
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…ference with char tok
Zymrael
reviewed
Feb 18, 2024
src/generation.py
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| @@ -76,6 +86,7 @@ def generate( | |||
| mem_after_tok = torch.cuda.memory_allocated(device=x.device) / 1e9 | |||
| print_rank_0(f"Memory after tokenization: {mem_after_tok} GB") | |||
| print_rank_0("Starting generation...") | |||
| torch.cuda.memory._record_memory_history(enabled=True) | |||
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This shouldn't be on by default
src/generation.py
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| generation[:, : i + 1], | ||
| skip_special_tokens=skip_special_tokens, | ||
| ) | ||
| if isinstance(self.tokenizer, CharLevelTokenizer): |
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Maybe could slightly reformat this to have different args depending on the Tokenizer class
|
Also run black and isort! |
Done 😄 |
Zymrael
approved these changes
Feb 18, 2024
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Add char level tokenizer, modify generation code to handle batched inference with char tok