Comments (1)
jakegrigsby
commented on August 16, 2024
I think this was an issue caused by the older version of pytorch lightning logging with array stats from each gpu while the new version seems to handle that for us. Should be fixed now
from spacetimeformer.
Related Issues (20)
- Multivariate sequence to univariate sequence
- Module pytorch_lightning not found HOT 1
- module 'tqdm' has no attribute 'auto' HOT 3
- AttributeError: module 'tqdm' has no attribute 'auto' HOT 8
- how should I find the datas for example
- Colab installation
- Random seed
- TypeError: accuracy() missing 1 required positional argument: 'task' HOT 1
- MisconfigurationException: `configure_optimizers` must include a monitor when a `ReduceLROnPlateau` scheduler is used HOT 5
- Training with custom dataset. Error: object is not callable HOT 2
- colab
- Pip installation
- Error while resuming training from saved checkpoint
- Huggingface Integration HOT 1
- Memory requirements to replicate on Pems-Bay HOT 2
- Working with custom dataset, IndexError: index out of range in self HOT 1
- ValueError: SyncBatchNorm layers only work with GPU modules HOT 2
- prediction vs labels
- Unable to reproduce results for spacetimeformer HOT 2
- `configure_optimizers` must include a monitor when a `ReduceLROnPlateau` scheduler is used. For example: {"optimizer": optimizer, "lr_scheduler": scheduler, "monitor": "metric_to_track"} HOT 2
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from spacetimeformer.