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| theta = theta * ntk_factor | ||
| freqs = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=freqs_dtype)[: (dim // 2)] / dim)) / linear_factor # [D/2] | ||
| freqs = freqs.to(pos.device) | ||
| freqs = ( |
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@sayakpaul
this is the only code change from #9321
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(nit): We could add a comment on emphasizing the impact of creating torch.arange() on device so as to prevent syncs. This will be helpful references for us going forward. What do you think?
We could do similar for the changes introduced in https://github.com/huggingface/diffusers/pull/9307/files as well.
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this did not cause the sync, though
sayakpaul
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sayakpaul
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Thanks. Just a single minor comment.
| theta = theta * ntk_factor | ||
| freqs = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=freqs_dtype)[: (dim // 2)] / dim)) / linear_factor # [D/2] | ||
| freqs = freqs.to(pos.device) | ||
| freqs = ( |
There was a problem hiding this comment.
(nit): We could add a comment on emphasizing the impact of creating torch.arange() on device so as to prevent syncs. This will be helpful references for us going forward. What do you think?
We could do similar for the changes introduced in https://github.com/huggingface/diffusers/pull/9307/files as well.
* update * fix --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
3 participants
create the
freqstensor on device to avoid potential sync