unlinken of already processed training files (seed dependent audio augmentation)

datasets/binar_masks.py

@@ -58,7 +58,11 @@ class BinaryMasksDataset(Dataset):
         # Delete File if one exists.
         if not self.use_preprocessed:
             for key in labeldict.keys():
-                (self._mel_folder / (key.replace('.wav', '') + self.container_ext)).unlink(missing_ok=True)
+                try:
+                    (self._mel_folder / (key.replace('.wav', '') + self.container_ext)).unlink()
+                except FileNotFoundError:
+                    pass
+
         return labeldict
 
     def __len__(self):