Related Issues (20)
- 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
- ModelCheckpoint does not work when using the monitor
- Continuing training with `ckpt_path="last"` fails in distributed setting
- is `lightning` and `pytorch_lightning` the same? HOT 4
- FileNotFoundError: [Errno 2] No such file or directory tfevents file
- `grep: Invalid option -- P` when running `./tests/run_standalone_tests.sh` on macOS HOT 1
- Callback for logging forward, backward and update time
- Custom batch selection for logging HOT 3
- `make test` fails with `subprocess-exited-with-error`: `AssertionError: Could not find cmake executable!`
- Avoid casting with `numpy()` in `multiprocessing.py` HOT 1
- Use lr setter callback instead of `attr_name` in `LearningRateFinder` and `Tuner` HOT 4
- Autocast "cache_enabled=True" failing HOT 1
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from pytorch-lightning.