note: torch.zeros -> torch.empty#13807
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| Boolean gate. If `False` (default), calling that method raises `ValueError`. All transformers in the repo support this. To add support, just: (1) set the class attribute to `True`, (2) add `self.gradient_checkpointing = False` in `__init__`, (3) add `if torch.is_grad_enabled() and self.gradient_checkpointing:` branches in `forward` that call `self._gradient_checkpointing_func`. See gotcha #4. | ||
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| ## Gotchas |
DN6
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Jul 1, 2026
* note: torch.zeros -> torch.empty * move to gotchas.
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What does this PR do?
torch.emptyhas disrupted our CI quite a bit in the past. This PR adds a note about it in.ai/models.mdand encourages the use oftorch.zerosortorch.ones.