v0.27.0

What's New

1. Torch 2.5.1 Compatibility (#3701)

We've added support for torch 2.5.1, including checkpointing bug fixes from PyTorch.

2. Add batch/microbatch transforms (#3703)

Sped up device transformations by doing batch transform on CPU and microbatch transforms on GPU

What's Changed

• Metrics dedup for MLflow logger by @chenmoneygithub in #3678
• Bump databricks-sdk from 0.33.0 to 0.36.0 by @dependabot in #3686
• Update pillow requirement from <11,>=10.3.0 to >=10.3.0,<12 by @dependabot in #3684
• Lower min torchmetrics version by @mvpatel2000 in #3691
• Private link error handling by @nancyhung in #3689
• Update checkpoint tests to use new version 0.26.0 by @irenedea in #3683
• Bump coverage[toml] from 7.6.3 to 7.6.4 by @dependabot in #3694
• Pin checkpoint state dict flattening patch by @b-chu in #3700
• Torch bump to 2.5.1 by @mvpatel2000 in #3701
• Fix typo in trainer doc by @XiaohanZhangCMU in #3702
• Update packaging requirement from <24.2,>=21.3.0 to >=21.3.0,<24.3 by @dependabot in #3707
• Update torchmetrics requirement from <1.4.1,>=1.0 to >=1.0,<1.5.3 by @dependabot in #3706
• Add batch/microbatch transforms by @mvpatel2000 in #3703
• Bump version to 0.28.0.dev0 by @j316chuck in #3709
• Add torch 2.5.1 composer tests by @j316chuck in #3710

Full Changelog: v0.26.1...v0.27.0