Related Issues (20)
- S3 support for WandBLogger
- A new after on_save_checkpoint callback for AsyncCheckpointIO
- on_validation_epoch_end() missing 1 required positional argument: 'outputs' while it is actually there HOT 4
- Single machine multi-gpus ddp training stuck HOT 10
- calling iter twice messes up dataloaders with queues HOT 4
- Regression: `CSVLogger` not working on version 2.2.0 HOT 3
- typing: make CSVLogger `name` optional `str` HOT 3
- Tutorial on running Lightning App on Kubernetes
- Wrong node_rank caused index error
- Bug: SteamingDataset Processor data config mismatch
- Logging failed when using mlflow with sqlite tracking uri HOT 3
- How to log artifacts on rank > 0? HOT 16
- Input validation for Trainer's `min_time` and `max_time` when passed as string HOT 2
- `batch_sampler.batch_size` is None with deepspeed and `DataLoader(batch_size=None)` HOT 4
- TroughputMonitor callback does not work with gradient accumulation in Trainer
- FSDP checkpointing uses deprecated APIs with PyTorch 2.2 HOT 6
- "backward pass is invalid for module in evaluation mode" with deepspeed stage 3 HOT 5
- Loss not getting printed in when manual optimization is turned on HOT 1
- CSVLogger unable to write logs on Databricks File System (DBFS), resulting in "OSError: [Errno 95] Operation not supported" HOT 1
- Warning is raised in PyTorch 2.2 and Lightning 2.2 when using the Tuner HOT 2
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