v1.0.1
What's new
Fixed ✅
LightningTrainStep
now can take aLazy
model object which results in a gauranteed deterministic hash.- Fixed issue where remote
Workspace
implementations likeWandbWorkspace
andBeakerWorkspace
would use the same local cache regardless of the W&B / Beaker workspace
being used. - Fixed bug with
TorchEvalStep
when constructing callbacks. - Fixed some import error issues caused when an integration is not installed.
- Fix incorrect reporting of final results in
MulticoreExecutor
.
Changed ⚠️
- Wandb step cache retries api call in case of timeout
beaker-py >= 1.11
required.
Commits
26e6416 Bump sphinx from 5.2.3 to 5.3.0 (#455)
c10cec5 Retry wandb call (#450)
f950b12 Use separate local cache dirs for each workspace (#451)
4c70161 Uncacheable step failure should be reported (#453)
9476942 Bump black from 22.8.0 to 22.10.0 (#445)
821c0fc Bump furo from 2022.9.15 to 2022.9.29 (#435)
8d0b146 Allow Lazy
model input to LightningTrainStep
(#448)
12eec56 Fix import issues when missing integrations (#447)
d16997c Fix bug with TorchEvalStep
(#442)
9a5f792 Bump beaker-py to version >=1.11 (#443)
f5c2e52 Add to FAQ (#440)