pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
Changelog
Sourced from torch's changelog.
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Commits
63d5e92
[EZ] Pin scipy to 1.12 for Py-3.12 (#127322)91bdec3
Update hf_BirdBird periodic-dynamo-benchmarks results (#127312)d44533f
Put back "[Release only] Release 2.3 start using triton package from pypi"" (...bd1040c
[DSD] Fix to remove non_persistent buffer in distributed state dict (#125337)...81b8854
[DSD] Add a test to verify FSDP lazy initialization case (#127069) (#127130)e63004b
[DCP][state_dict] Remove the check of FSDP has root (#121544) (#126557)00804a7
[DSD] Correctly handle _extra_state (#125336) (#126567)cd033a1
[Cherry-pick][DCP][AC] Add test for apply AC with FSDP1 (#126935) (#126992)19058a6
Remove activation checkpointing tag to get correct FQNs (#124698) (#126559)30650e0
[FSDP1] fix _same_storage check for DTensor (#123617) (#126957)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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