working train.py Error!

[leyangxing]

The amount of parameters is 10.132802 million.
============== 1 epoch ==============
[0 seconds] Begin training...
Traceback (most recent call last):
File "train.py", line 64, in
main(configuration, resume=args.resume)
File "train.py", line 51, in main
trainer.train().cuda()
File "/root/autodl-tmp/trainer/base_trainer.py", line 194, in train
self._train_epoch(epoch)
File "/root/autodl-tmp/trainer/trainer.py", line 30, in _train_epoch
for i, (mixture, clean, name) in enumerate(self.train_data_loader):
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in next
data = self._next_data()
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/root/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 434, in reraise
raise exception
RuntimeError: Caught RuntimeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
return self.collate_fn(data)
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 84, in default_collate
return [default_collate(samples) for samples in transposed]
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 84, in
return [default_collate(samples) for samples in transposed]
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 64, in default_collate
return default_collate([torch.as_tensor(b) for b in batch])
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 56, in default_collate
return torch.stack(batch, 0, out=out)
RuntimeError: stack expects each tensor to be equal size, but got [1, 16384] at entry 0 and [1, 11293] at entry 3

There are two problems：
1.RuntimeError: Caught RuntimeError in DataLoader worker process 0.
2.RuntimeError: stack expects each tensor to be equal size, but got [1, 16384] at entry 0 and [1, 11293] at entry 3