fastai_audio size error

gistfile1.txt

TypeError                                 Traceback (most recent call last)
<ipython-input-25-78458082cfe6> in <module>
----> 1 learn.predict(test[-1])

/opt/conda/lib/python3.6/site-packages/fastai/basic_train.py in predict(self, item, return_x, batch_first, with_dropout, **kwargs)
    370     def predict(self, item:ItemBase, return_x:bool=False, batch_first:bool=True, with_dropout:bool=False, **kwargs):
    371         "Return predicted class, label and probabilities for `item`."
--> 372         batch = self.data.one_item(item)
    373         res = self.pred_batch(batch=batch, with_dropout=with_dropout)
    374         raw_pred,x = grab_idx(res,0,batch_first=batch_first),batch[0]

/opt/conda/lib/python3.6/site-packages/fastai/basic_data.py in one_item(self, item, detach, denorm, cpu)
    180         ds = self.single_ds
    181         with ds.set_item(item):
--> 182             return self.one_batch(ds_type=DatasetType.Single, detach=detach, denorm=denorm, cpu=cpu)
    183 
    184     def show_batch(self, rows:int=5, ds_type:DatasetType=DatasetType.Train, reverse:bool=False, **kwargs)->None:

/opt/conda/lib/python3.6/site-packages/fastai/basic_data.py in one_batch(self, ds_type, detach, denorm, cpu)
    167         w = dl.num_workers
    168         dl.num_workers = 0
--> 169         try:     x,y = next(iter(dl))
    170         finally: dl.num_workers = w
    171         if detach: x,y = to_detach(x,cpu=cpu),to_detach(y,cpu=cpu)

/opt/conda/lib/python3.6/site-packages/fastai/basic_data.py in __iter__(self)
     73     def __iter__(self):
     74         "Process and returns items from `DataLoader`."
---> 75         for b in self.dl: yield self.proc_batch(b)
     76 
     77     @classmethod

/opt/conda/lib/python3.6/site-packages/torch/utils/data/dataloader.py in __next__(self)
    343 
    344     def __next__(self):
--> 345         data = self._next_data()
    346         self._num_yielded += 1
    347         if self._dataset_kind == _DatasetKind.Iterable and \

/opt/conda/lib/python3.6/site-packages/torch/utils/data/dataloader.py in _next_data(self)
    383     def _next_data(self):
    384         index = self._next_index()  # may raise StopIteration
--> 385         data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
    386         if self._pin_memory:
    387             data = _utils.pin_memory.pin_memory(data)

/opt/conda/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py in fetch(self, possibly_batched_index)
     42     def fetch(self, possibly_batched_index):
     43         if self.auto_collation:
---> 44             data = [self.dataset[idx] for idx in possibly_batched_index]
     45         else:
     46             data = self.dataset[possibly_batched_index]

/opt/conda/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py in <listcomp>(.0)
     42     def fetch(self, possibly_batched_index):
     43         if self.auto_collation:
---> 44             data = [self.dataset[idx] for idx in possibly_batched_index]
     45         else:
     46             data = self.dataset[possibly_batched_index]

/opt/conda/lib/python3.6/site-packages/fastai/data_block.py in __getitem__(self, idxs)
    655             else:                 x,y = self.item   ,0
    656             if self.tfms or self.tfmargs:
--> 657                 x = x.apply_tfms(self.tfms, **self.tfmargs)
    658             if hasattr(self, 'tfms_y') and self.tfm_y and self.item is None:
    659                 y = y.apply_tfms(self.tfms_y, **{**self.tfmargs_y, 'do_resolve':False})

TypeError: apply_tfms() got an unexpected keyword argument 'size'