Lightning-AI/pytorch-lightning 2.0.5

Minor patch release

on GitHub

App

Added

• plugin: store source app (#17892)
• added colocation identifier (#16796)
• Added exponential backoff to HTTPQueue put (#18013)
• Content for plugins (#17243)

Changed

• Save a reference to created tasks, to avoid tasks disappearing (#17946)

Fabric

Added

• Added validation against misconfigured device selection when using the DeepSpeed strategy (#17952)

Changed

• Avoid info message when loading 0 entry point callbacks (#17990)

Fixed

• Fixed the emission of a false-positive warning when calling a method on the Fabric-wrapped module that accepts no arguments (#17875)
• Fixed check for FSDP's flat parameters in all parameter groups (#17914)
• Fixed automatic step tracking in Fabric's CSVLogger (#17942)
• Fixed an issue causing the torch.set_float32_matmul_precision info message to show multiple times (#17960)
• Fixed loading model state when Fabric.load() is called after Fabric.setup() (#17997)

PyTorch

Fixed

• Fixed delayed creation of experiment metadata and checkpoint/log dir name when using WandbLogger (#17818)
• Fixed incorrect parsing of arguments when augmenting exception messages in DDP (#17948)
• Fixed an issue causing the torch.set_float32_matmul_precision info message to show multiple times (#17960)
• Added missing map_location argument for the LightningDataModule.load_from_checkpoint function (#17950)
• Fix support for neptune-client (#17939)

Contributors

@anio, @awaelchli, @Borda, @ethanwharris, @lantiga, @nicolai86, @rjarun8, @schmidt-ai, @schuhschuh, @wouterzwerink, @yurijmikhalevich

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