rmv augmentations
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				|  | @ -11,7 +11,8 @@ from pytorch_lightning.callbacks import ( | |||
| ) | ||||
| from pytorch_lightning.loggers import MLFlowLogger | ||||
| from torch.optim.lr_scheduler import ReduceLROnPlateau | ||||
| from torch_audiomentations import Compose, Shift | ||||
| 
 | ||||
| # from torch_audiomentations import Compose, Shift | ||||
| 
 | ||||
| os.environ["HYDRA_FULL_ERROR"] = "1" | ||||
| JOB_ID = os.environ.get("SLURM_JOBID", "0") | ||||
|  | @ -30,13 +31,13 @@ def main(config: DictConfig): | |||
|     ) | ||||
| 
 | ||||
|     parameters = config.hyperparameters | ||||
|     apply_augmentations = Compose( | ||||
|         [ | ||||
|             Shift(min_shift=0.5, max_shift=1.0, shift_unit="seconds", p=0.5), | ||||
|         ] | ||||
|     ) | ||||
|     # apply_augmentations = Compose( | ||||
|     #     [ | ||||
|     #         Shift(min_shift=0.5, max_shift=1.0, shift_unit="seconds", p=0.5), | ||||
|     #     ] | ||||
|     # ) | ||||
| 
 | ||||
|     dataset = instantiate(config.dataset, augmentations=apply_augmentations) | ||||
|     dataset = instantiate(config.dataset, augmentations=None) | ||||
|     model = instantiate( | ||||
|         config.model, | ||||
|         dataset=dataset, | ||||
|  |  | |||
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