Error while setting trans_cache in train.py

[MittalShruti]

While training the python train.py after setting `trans_cache' I am getting the following error

  File "train.py", line 465, in <module>
    train(opts)
  File "train.py", line 333, in train
    Trainer.train_(dloader, device=device, valid_dataloader=va_dloader)
  File "/content/pase/pase/models/WorkerScheduler/trainer.py", line 223, in train_
    batch = next(iterator)
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 345, in __next__
    data = self._next_data()
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 856, in _next_data
    return self._process_data(data)
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 881, in _process_data
    data.reraise()
  File "/usr/local/lib/python3.6/dist-packages/torch/_utils.py", line 394, in reraise
    raise self.exc_type(msg)
KeyError: Caught KeyError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop
    data = fetcher.fetch(index)
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/content/pase/pase/dataset.py", line 496, in __getitem__
    pkg['overlap'] = torch.zeros(pkg['chunk'].shape[-1] // pkg['dec_resolution']).float()
KeyError: 'dec_resolution'

Unable to figure out why pkg['dec_resoultion'] is not defined.