Related Issues (20)
- Lightning stalls with 2 GPUs on 1 node with SLURM (and apptainer) HOT 1
- MLFlowLogger fails when logging hyperparameters as Trainer already does automatically
- Is "Prepare a config file for the CLI" out of date?
- MisconfigurationException: Do not set `gradient_accumulation_steps` in the DeepSpeed config
- Dataloader on multi-gpu jobs only surpport to manipulate on local_rank=0, is there a way tom manipulate every device?
- Error when fast_dev_run=True or num_sanity_val_steps=0 and using torchmetrics MetricTracker
- Fabric: Incorrect `num_replicas` (ddp/fsdp) when number of GPUs on each node is different HOT 1
- Creating A Second Comet Logger Disables The First
- CUDA unknown error HOT 1
- AttributeError: type object 'Trainer' has no attribute 'add_argparse_args'
- Add functionality to save nn.Modules supplied as arguments when initialising LightningModule
- I think it's deadly necessary to add docs or tutorials for handling the case when We return multiple loaders in test_dataloaders() method? I think it
- "save_last" could not save a complete checkpoint
- element 0 of tensors does not require grad and does not have a grad_fn in "test_step" and "validation_step" HOT 4
- LR_FIND() does not work in DDP anymore, RuntimeError: No backend type associated with device type cpu
- KeyboardInterrupt raises an exception which results in a zero exit code
- XLA FSDP strategy has undocumented requirement for using activation checkpointing
- The training process will stop unexpectedly HOT 1
- forward method missing required positional argument ‘masks’ in PyTorch Lightning HOT 2
- Lightning Fabric: generic method to get the full state dict
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