Changes in 2.6.6 PyTorch Lightning Fixed Fixed arbitrary code execution in load_from_checkpoint by restricting the _instantiator hyperparameter to an allowlist of trusted instantiators (#21832) Fixed arbitrary code execution in load_from_checkpoint by rejecting a checkpoint _class_path that does not resolve to an already imported subclass of the loaded class (#21914) Full commit list: 2.6.5 -> 2.6…
Changes in 2.6.5 Lightning Fabric Changed Use fs.pipe() for S3/GCS checkpoint uploads in _atomic_save (#21595 Full commit list: 2.6.4 -> 2.6.5 Contributors New Contributors @c-pozzi made their first contribution in #21595 We thank all folks who submitted issues, features, fixes and doc changes. It's the only way we can collectively make Lightning ⚡ better for everyone, nice job! In particular, we…
Changes in 2.6.4 PyTorch Lightning Removed Removed support for Neptune logger (#21572). Note: We usually don't remove features in a patch release, however in this case it's an exception since even without removing it the integration would be broken due to Neptune being acquired and sunsetting public service Changed Raised minimum LitLogger version to 2026-03-17 (#21591) Fixed Fixed val_check_inter…
Changes in 2.6.1 PyTorch Lightning Added Added method chaining support to LightningModule.freeze() and LightningModule.unfreeze() by returning self (#21469) Added litlogger integration(#21430) Deprecated Deprecated to_torchscript method due to deprecation of TorchScript in PyTorch (#21397) Removed Removed support for Python 3.9 due to end-of-life status (#21398) Fixed Fixed save_hyperparameters(ig…
Notable changes in this release PyTorch Lightning Changed Add toggled_optimizer(optimizer) method to the LightningModule, which is a context manager version of toggle_optimize and untoggle_optimizer (#20771) For cross-device local checkpoints, instruct users to install fsspec>=2025.5.0 if unavailable (#20780) Check param is of nn.Parameter type for pruning sanitization (#20783) Fixed Fixed save_hy…
Changes in 2.6.0 PyTorch Lightning Added Added WeightAveraging callback that wraps the PyTorch AveragedModel class (#20545) Added Torch-Tensorrt integration with LightningModule (#20808) Added time-based validation support though val_check_interval (#21071) Added attributes to access stopping reason in EarlyStopping callback (#21188) Added support for variable batch size in ThroughputMonitor (#202…
Changes in 2.5.6 PyTorch Lightning Changed Add name() function to accelerator interface ((#21325)) Removed Remove support for deprecated and archived lightning-habana package (#21327)
Changes in 2.5.5 PyTorch Lightning Changed Include exclude_frozen_parameters to DeepSpeedStrategy (#21060) Include PossibleUserWarning that is raised if modules are in eval mode when training starts (#21146) Fixed Fixed LightningCLI not using ckpt_path hyperparameters to instantiate classes (#21116) Fixed callbacks by defer step/time-triggered ModelCheckpoint saves until validation metrics are ava…
Changes in 2.5.4 PyTorch Lightning Fixed Fixed AsyncCheckpointIO snapshots tensors to avoid race with parameter mutation (#21079) Fixed AsyncCheckpointIO threadpool exception if calling fit or validate more than one (#20952) Fixed learning rate not being correctly set after using LearningRateFinder callback (#21068) Fixed misalignment column while using rich model summary in DeepSpeedstrategy (#21…
Notable changes in this release PyTorch Lightning Changed Added save_on_exception option to ModelCheckpoint Callback (#20916) Allow dataloader_idx_ in log names when add_dataloader_idx=False (#20987) Allow returning ONNXProgram when calling to_onnx(dynamo=True) (#20811) Extended support for general mappings being returned from training_step when using manual optimization (#21011) Fixed Fixed Allow…
Full Changelog: 2.5.1...2.5.1.post0