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Changelog
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Last updated about 1 month ago
to_torchscript() deprecated due to PyTorch TorchScript deprecationLightningModule.freeze() and unfreeze() now return self for method chainingweights_only argument in Fabric.load() and Fabric.load_raw()2.6.0WeightAveraging callback that wraps the PyTorch AveragedModel class (#20545)LightningModule ([#20808](https://github.com/Lightning-AI/pytorch-lightning/pu...2.5.6name() function to accelerator interface ((#21325))2.5.5exclude_frozen_parameters to DeepSpeedStrategy (#21060)PossibleUserWarning that is raised if modules are in eval mode when training starts ([#21146](https://github.com/Lightning-AI...2.5.4AsyncCheckpointIO snapshots tensors to avoid race with parameter mutation (#21079)AsyncCheckpointIO threadpool exception if calling fit or validate more than one ([#20952](https://github.c...save_on_exception option to ModelCheckpoint Callback (#20916)dataloader_idx_ in log names when add_dataloader_idx=False ([#20987](https://github.com/Lightning-AI/pytorch...toggled_optimizer(optimizer) method to the LightningModule, which is a context manager version of toggle_optimize and untoggle_optimizer (#20771)Full Changelog: https://github.com/Lightning-AI/pytorch-lightning/compare/2.5.1...2.5.1.post0
wandb default x-axis to tensorboard's global_step when sync_tensorboard=True ([#20611](https://github.com/Lightning-AI/pytorch-li...Full Changelog: https://github.com/Lightning-AI/pytorch-lightning/compare/2.5.0...2.5.0.post0
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