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train_ms.py

@@ -49,7 +49,8 @@ global_step = 0
 
 def run():
     dist.init_process_group(
-        backend="gloo", init_method="env://"  # Due to some training problem,we proposed to use gloo instead of nccl.
+        backend="gloo",
+        init_method="env://",  # Due to some training problem,we proposed to use gloo instead of nccl.
     )  # Use torchrun instead of mp.spawn
     rank = dist.get_rank()
     n_gpus = dist.get_world_size()
@@ -72,7 +73,7 @@ def run():
         rank=rank,
         shuffle=True,
         persistent_workers=True,
-        prefetch_factor=4
+        prefetch_factor=4,
     )
     collate_fn = TextAudioSpeakerCollate()
     train_loader = DataLoader(
@@ -82,7 +83,6 @@ def run():
         pin_memory=True,
         collate_fn=collate_fn,
         batch_sampler=train_sampler,
-        
     )  # DataLoader config could be adjusted.
     if rank == 0:
         eval_dataset = TextAudioSpeakerLoader(hps.data.validation_files, hps.data)