check if seed is none

src/train.py

@@ -51,7 +51,7 @@ def train(cfg: DictConfig) -> Tuple[Dict[str, Any], Dict[str, Any]]:
     :return: A tuple with metrics and dict with all instantiated objects.
     """
     # set seed for random number generators in pytorch, numpy and python.random
-    if cfg.get("seed"):
+    if cfg.get("seed") is not None:
         L.seed_everything(cfg.seed, workers=True)
 
     log.info(f"Instantiating datamodule <{cfg.data._target_}>")