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OpenDAS
OpenFold
Commits
9225f872
"...git@developer.sourcefind.cn:tsoc/superbenchmark.git" did not exist on "431bf19c310de2ba0182e3a51243d56d81cc4b64"
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9225f872
authored
Jul 08, 2022
by
Gustaf Ahdritz
Committed by
GitHub
Jul 08, 2022
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Reword README
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README.md
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9225f872
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@@ -29,7 +29,7 @@ vice versa (see `scripts/convert_of_weights_to_jax.py`).
OpenFold has the following advantages over the reference implementation:
-
**Faster inference**
on GPU, sometimes by as much as 2x. The greatest speedups
can be obser
ved on (>= Ampere) GPUs.
-
**Faster inference**
on GPU, sometimes by as much as 2x. The greatest speedups
are achie
ved on (>= Ampere) GPUs.
-
**Inference on extremely long chains**
, made possible by our implementation of low-memory attention
(
[
Rabe & Staats 2021
](
https://arxiv.org/pdf/2112.05682.pdf
)
). OpenFold can predict the structures of
sequences with more than 4000 residues on a single A100, and even longer ones with CPU offloading.
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