Related Issues (20)
- 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
- Official docker image doesn't have pytorch_lightning
- Class name displayed incorrectly
- Make TensorBoardLogger default version creation ascii sortable
- Adam optimizer is slower after loading model from checkpoint HOT 9
- ValueError: range() arg 3 must not be zero - Need to Identify the Root Cause HOT 1
- Returning num_replicas=world_size when using distributed sampler in ddp HOT 2
- Documentation: writing custom samplers compatible with multi GPU training
- Loading saved config file fails because of InterpolationMode HOT 1
- min_epochs and EarlyStopping in conflict HOT 1
- Make checkpoint saving fully atomic HOT 3
- Increase MlflowLogger parameter value length limit
- FSDPPrecision should support 16-true with a loss scaler HOT 1
- Hyperparameter logging with multiple loggers only works partially (TensorBoard and CSV)
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from pytorch-lightning.