linter fixes

TTS/speaker_encoder/dataset.py

@@ -17,6 +17,7 @@ class MyDataset(Dataset):
             seq_len (int): voice segment length in seconds.
             verbose (bool): print diagnostic information.
         """
+        super().__init__()
         self.items = meta_data
         self.sample_rate = ap.sample_rate
         self.voice_len = voice_len

TTS/vocoder/datasets/wavegrad_dataset.py

@@ -26,6 +26,7 @@ class WaveGradDataset(Dataset):
                  use_cache=False,
                  verbose=False):
 
+        super().__init__()
         self.ap = ap
         self.item_list = items
         self.seq_len = seq_len if return_segments else None