Related Issues (20)
- Dynamically link arguments in `LightningCLI`? HOT 2
- Support get optimizer and lr_schedulers from deepspeed config
- Validation dataloader is added to train dataloader after first epoch
- Add dog has an error: FileNotFoundError: HOT 1
- Resume training, how to change learning scheduler? HOT 1
- Possible bug in recognizing `mps` accelerator even though PyTorch seems to register the `mps` device?
- Error loading a saved model to run inference (using ddp_notebook strategy) HOT 1
- AttributeError: module 'pytorch_lightning.callbacks' has no attribute 'ProgressBarBase'. Did you mean: 'ProgressBar'?
- Using the MLflow logger produces Inconsistent metric plots HOT 2
- can't fit with ddp_notebook on a Vertex AI Workbench instance (CUDA initialized)
- Lightning stalls with 2 GPUs on 1 node with SLURM (and apptainer)
- 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- Is "Prepare a config file for the CLI" out of date?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'
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from pytorch-lightning.