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