bug fixes

train.py

@@ -20,6 +20,7 @@ from utils.generic_utils import (
 from utils.visual import plot_alignment, plot_spectrogram
 from models.tacotron import Tacotron
 from layers.losses import L1LossMasked
+from datasets.TTSDataset import MyDataset
 from utils.audio import AudioProcessor
 from utils.synthesis import synthesis
 from utils.logger import Logger
@@ -44,8 +45,8 @@ def setup_loader(is_val=False):
             ap=ap,
             batch_group_size=0 if is_val else 8 * c.batch_size,
             min_seq_len=0 if is_val else c.min_seq_len,
-            max_seq_len=float("inf") if is_val else c.max_seq_len
-            cached=False if c.dataset ~= "tts_cache" else True)
+            max_seq_len=float("inf") if is_val else c.max_seq_len,
+            cached=False if c.dataset != "tts_cache" else True)
         loader = DataLoader(
             dataset,
             batch_size=c.eval_batch_size if is_val else c.batch_size,
@@ -444,7 +445,7 @@ if __name__ == '__main__':
         default=False,
         help='Do not verify commit integrity to run training.')
     parser.add_argument(
-        '--data_path', type=str, help='Defines the data path. It overwrites config.json.', default='')
+        '--data_path', type=str, default='', help='Defines the data path. It overwrites config.json.')
     args = parser.parse_args()
 
     # setup output paths and read configs
@@ -467,8 +468,6 @@ if __name__ == '__main__':
     # Conditional imports
     preprocessor = importlib.import_module('datasets.preprocess')
     preprocessor = getattr(preprocessor, c.dataset.lower())
-    MyDataset = importlib.import_module('datasets.' + c.data_loader)
-    MyDataset = getattr(MyDataset, "MyDataset")
     audio = importlib.import_module('utils.' + c.audio['audio_processor'])
     AudioProcessor = getattr(audio, 'AudioProcessor')