Remove random seed in datasets as it is created from pl

remfx/datasets.py

@@ -11,7 +11,6 @@ from typing import Any, List, Tuple
 
 LENGTH = 2**18  # 12 seconds
 ORIG_SR = 48000
-torch.manual_seed(123)
 
 
 class GuitarFXDataset(Dataset):

scripts/train.py

@@ -9,8 +9,8 @@ log = utils.get_logger(__name__)
 @hydra.main(version_base=None, config_path="../", config_name="config.yaml")
 def main(cfg: DictConfig):
     # Apply seed for reproducibility
-    print(cfg)
-    pl.seed_everything(cfg.seed)
+    if cfg.seed:
+        pl.seed_everything(cfg.seed)
 
     log.info(f"Instantiating datamodule <{cfg.datamodule._target_}>.")
     datamodule = hydra.utils.instantiate(cfg.datamodule, _convert_="partial")