b should have at least 2 dimensions, but has 1 dimensions instead

[garimss]

Get this error when I run the code --> data.show_batch(rows=3, figsize=(7,8))

RuntimeError: b should have at least 2 dimensions, but has 1 dimensions instead

This is complete error:
RuntimeError Traceback (most recent call last)
in
----> 1 data.show_batch(rows=3, figsize=(7,8))

~\Anaconda3\envs\py36\lib\site-packages\fastai\basic_data.py in show_batch(self, rows, ds_type, **kwargs)
158 def show_batch(self, rows:int=5, ds_type:DatasetType=DatasetType.Train, **kwargs)->None:
159 "Show a batch of data in ds_type on a few rows."
--> 160 x,y = self.one_batch(ds_type, True, True)
161 if self.train_ds.x._square_show: rows = rows ** 2
162 xs = [self.train_ds.x.reconstruct(grab_idx(x, i)) for i in range(rows)]

~\Anaconda3\envs\py36\lib\site-packages\fastai\basic_data.py in one_batch(self, ds_type, detach, denorm, cpu)
141 w = self.num_workers
142 self.num_workers = 0
--> 143 try: x,y = next(iter(dl))
144 finally: self.num_workers = w
145 if detach: x,y = to_detach(x,cpu=cpu),to_detach(y,cpu=cpu)

~\Anaconda3\envs\py36\lib\site-packages\fastai\basic_data.py in iter(self)
68 def iter(self):
69 "Process and returns items from DataLoader."
---> 70 for b in self.dl:
71 #y = b[1][0] if is_listy(b[1]) else b[1] # XXX: Why is this line here?
72 yield self.proc_batch(b)

~\Anaconda3\envs\py36\lib\site-packages\torch\utils\data\dataloader.py in next(self)
635 self.reorder_dict[idx] = batch
636 continue
--> 637 return self._process_next_batch(batch)
638
639 next = next # Python 2 compatibility

~\Anaconda3\envs\py36\lib\site-packages\torch\utils\data\dataloader.py in _process_next_batch(self, batch)
656 self._put_indices()
657 if isinstance(batch, ExceptionWrapper):
--> 658 raise batch.exc_type(batch.exc_msg)
659 return batch
660

RuntimeError: Traceback (most recent call last):
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\torch\utils\data\dataloader.py", line 138, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\torch\utils\data\dataloader.py", line 138, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\data_block.py", line 526, in getitem
x = x.apply_tfms(self.tfms, **self.tfmargs)
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\image.py", line 113, in apply_tfms
else: x = tfm(x)
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\image.py", line 499, in call
return self.tfm(x, *args, **{**self.resolved, **kwargs}) if self.do_run else x
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\image.py", line 446, in call
if args: return self.calc(*args, **kwargs)
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\image.py", line 451, in calc
if self._wrap: return getattr(x, self._wrap)(self.func, *args, **kwargs)
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\image.py", line 167, in coord
self.flow = func(self.flow, *args, **kwargs)
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\transform.py", line 238, in _symmetric_warp
return _do_perspective_warp(c, targ_pts, invert)
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\transform.py", line 225, in _do_perspective_warp
return _apply_perspective(c, _find_coeffs(_orig_pts, targ_pts))
File "C:\Users\Garima\Anaconda3\envs\py36\lib\site-packages\fastai\vision\transform.py", line 206, in _find_coeffs
return torch.gesv(B,A)[0][:,0]
RuntimeError: b should have at least 2 dimensions, but has 1 dimensions instead