error.py

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
~/Projects/fastai2/fastai2/learner.py in _do_epoch_validate(self, ds_idx, dl)
    182             self.dl = dl;                                    self('begin_validate')
--> 183             with torch.no_grad(): self.all_batches()
    184         except CancelValidException:                         self('after_cancel_validate')

~/Projects/fastai2/fastai2/learner.py in all_batches(self)
    152         self.n_iter = len(self.dl)
--> 153         for o in enumerate(self.dl): self.one_batch(*o)
    154 

~/Projects/fastai2/fastai2/learner.py in one_batch(self, i, b)
    166         except CancelBatchException:                         self('after_cancel_batch')
--> 167         finally:                                             self('after_batch')
    168 

~/Projects/fastai2/fastai2/learner.py in __call__(self, event_name)
    133 
--> 134     def __call__(self, event_name): L(event_name).map(self._call_one)
    135     def _call_one(self, event_name):

~/Projects/fastcore/fastcore/foundation.py in map(self, f, *args, **kwargs)
    376              else f.__getitem__)
--> 377         return self._new(map(g, self))
    378 

~/Projects/fastcore/fastcore/foundation.py in _new(self, items, *args, **kwargs)
    326     def _xtra(self): return None
--> 327     def _new(self, items, *args, **kwargs): return type(self)(items, *args, use_list=None, **kwargs)
    328     def __getitem__(self, idx): return self._get(idx) if is_indexer(idx) else L(self._get(idx), use_list=None)

~/Projects/fastcore/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
     46 
---> 47         res = super().__call__(*((x,) + args), **kwargs)
     48         res._newchk = 0

~/Projects/fastcore/fastcore/foundation.py in __init__(self, items, use_list, match, *rest)
    317         if (use_list is not None) or not _is_array(items):
--> 318             items = list(items) if use_list else _listify(items)
    319         if match is not None:

~/Projects/fastcore/fastcore/foundation.py in _listify(o)
    253     if isinstance(o, str) or _is_array(o): return [o]
--> 254     if is_iter(o): return list(o)
    255     return [o]

~/Projects/fastcore/fastcore/foundation.py in __call__(self, *args, **kwargs)
    219         fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 220         return self.fn(*fargs, **kwargs)
    221 

~/Projects/fastai2/fastai2/learner.py in _call_one(self, event_name)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/learner.py in <listcomp>(.0)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/callback/core.py in __call__(self, event_name)
     23                (self.run_valid and not getattr(self, 'training', False)))
---> 24         if self.run and _run: getattr(self, event_name, noop)()
     25         if event_name=='after_fit': self.run=True #Reset self.run to True at each end of fit

~/Projects/fastai2/fastai2/callback/core.py in after_batch(self)
     81         "Save predictions, targets and potentially losses"
---> 82         preds,targs = to_detach(self.pred),to_detach(self.yb)
     83         if self.save_preds is None: self.preds.append(preds)

~/Projects/fastai2/fastai2/torch_core.py in to_detach(b, cpu, gather)
    167         return x.cpu() if cpu else x
--> 168     return apply(_inner, b, cpu=cpu, gather=gather)
    169 

~/Projects/fastai2/fastai2/torch_core.py in apply(func, x, *args, **kwargs)
    147     if isinstance(x,dict):  return {k: apply(func, v, *args, **kwargs) for k,v in x.items()}
--> 148     res = func(x, *args, **kwargs)
    149     return res if x is None else retain_type(res, x)

~/Projects/fastai2/fastai2/torch_core.py in _inner(x, cpu, gather)
    166         if gather: x = maybe_gather(x)
--> 167         return x.cpu() if cpu else x
    168     return apply(_inner, b, cpu=cpu, gather=gather)

RuntimeError: CUDA error: device-side assert triggered

During handling of the above exception, another exception occurred:

IndexError                                Traceback (most recent call last)
~/Projects/fastai2/fastai2/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
    203                         self._do_epoch_train()
--> 204                         self._do_epoch_validate()
    205                     except CancelEpochException:   self('after_cancel_epoch')

~/Projects/fastai2/fastai2/learner.py in _do_epoch_validate(self, ds_idx, dl)
    184         except CancelValidException:                         self('after_cancel_validate')
--> 185         finally:                                             self('after_validate')
    186 

~/Projects/fastai2/fastai2/learner.py in __call__(self, event_name)
    133 
--> 134     def __call__(self, event_name): L(event_name).map(self._call_one)
    135     def _call_one(self, event_name):

~/Projects/fastcore/fastcore/foundation.py in map(self, f, *args, **kwargs)
    376              else f.__getitem__)
--> 377         return self._new(map(g, self))
    378 

~/Projects/fastcore/fastcore/foundation.py in _new(self, items, *args, **kwargs)
    326     def _xtra(self): return None
--> 327     def _new(self, items, *args, **kwargs): return type(self)(items, *args, use_list=None, **kwargs)
    328     def __getitem__(self, idx): return self._get(idx) if is_indexer(idx) else L(self._get(idx), use_list=None)

~/Projects/fastcore/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
     46 
---> 47         res = super().__call__(*((x,) + args), **kwargs)
     48         res._newchk = 0

~/Projects/fastcore/fastcore/foundation.py in __init__(self, items, use_list, match, *rest)
    317         if (use_list is not None) or not _is_array(items):
--> 318             items = list(items) if use_list else _listify(items)
    319         if match is not None:

~/Projects/fastcore/fastcore/foundation.py in _listify(o)
    253     if isinstance(o, str) or _is_array(o): return [o]
--> 254     if is_iter(o): return list(o)
    255     return [o]

~/Projects/fastcore/fastcore/foundation.py in __call__(self, *args, **kwargs)
    219         fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 220         return self.fn(*fargs, **kwargs)
    221 

~/Projects/fastai2/fastai2/learner.py in _call_one(self, event_name)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/learner.py in <listcomp>(.0)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/callback/core.py in __call__(self, event_name)
     23                (self.run_valid and not getattr(self, 'training', False)))
---> 24         if self.run and _run: getattr(self, event_name, noop)()
     25         if event_name=='after_fit': self.run=True #Reset self.run to True at each end of fit

~/Projects/fastai2/fastai2/callback/core.py in after_validate(self)
    115         with self.learn.removed_cbs(to_rm + self.cbs) as learn:
--> 116             self.preds = learn.get_preds(ds_idx=self.ds_idx, dl=self.dl,
    117                 with_input=self.with_input, with_decoded=self.with_decoded, inner=True)

~/Projects/fastai2/fastai2/learner.py in get_preds(self, ds_idx, dl, with_input, with_decoded, with_loss, act, inner, reorder, **kwargs)
    233             self(event.begin_epoch if inner else _before_epoch)
--> 234             self._do_epoch_validate(dl=dl)
    235             self(event.after_epoch if inner else _after_epoch)

~/Projects/fastai2/fastai2/learner.py in _do_epoch_validate(self, ds_idx, dl)
    184         except CancelValidException:                         self('after_cancel_validate')
--> 185         finally:                                             self('after_validate')
    186 

~/Projects/fastai2/fastai2/learner.py in __call__(self, event_name)
    133 
--> 134     def __call__(self, event_name): L(event_name).map(self._call_one)
    135     def _call_one(self, event_name):

~/Projects/fastcore/fastcore/foundation.py in map(self, f, *args, **kwargs)
    376              else f.__getitem__)
--> 377         return self._new(map(g, self))
    378 

~/Projects/fastcore/fastcore/foundation.py in _new(self, items, *args, **kwargs)
    326     def _xtra(self): return None
--> 327     def _new(self, items, *args, **kwargs): return type(self)(items, *args, use_list=None, **kwargs)
    328     def __getitem__(self, idx): return self._get(idx) if is_indexer(idx) else L(self._get(idx), use_list=None)

~/Projects/fastcore/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
     46 
---> 47         res = super().__call__(*((x,) + args), **kwargs)
     48         res._newchk = 0

~/Projects/fastcore/fastcore/foundation.py in __init__(self, items, use_list, match, *rest)
    317         if (use_list is not None) or not _is_array(items):
--> 318             items = list(items) if use_list else _listify(items)
    319         if match is not None:

~/Projects/fastcore/fastcore/foundation.py in _listify(o)
    253     if isinstance(o, str) or _is_array(o): return [o]
--> 254     if is_iter(o): return list(o)
    255     return [o]

~/Projects/fastcore/fastcore/foundation.py in __call__(self, *args, **kwargs)
    219         fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 220         return self.fn(*fargs, **kwargs)
    221 

~/Projects/fastai2/fastai2/learner.py in _call_one(self, event_name)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/learner.py in <listcomp>(.0)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/callback/core.py in __call__(self, event_name)
     23                (self.run_valid and not getattr(self, 'training', False)))
---> 24         if self.run and _run: getattr(self, event_name, noop)()
     25         if event_name=='after_fit': self.run=True #Reset self.run to True at each end of fit

~/Projects/fastai2/fastai2/callback/core.py in after_validate(self)
     94         if self.with_input:     self.inputs  = detuplify(to_concat(self.inputs, dim=self.concat_dim))
---> 95         if not self.save_preds: self.preds   = detuplify(to_concat(self.preds, dim=self.concat_dim))
     96         if not self.save_targs: self.targets = detuplify(to_concat(self.targets, dim=self.concat_dim))

~/Projects/fastai2/fastai2/torch_core.py in to_concat(xs, dim)
    212     "Concat the element in `xs` (recursively if they are tuples/lists of tensors)"
--> 213     if is_listy(xs[0]): return type(xs[0])([to_concat([x[i] for x in xs], dim=dim) for i in range_of(xs[0])])
    214     if isinstance(xs[0],dict):  return {k: to_concat([x[k] for x in xs], dim=dim) for k in xs[0].keys()}

IndexError: list index out of range

During handling of the above exception, another exception occurred:

AttributeError                            Traceback (most recent call last)
~/Projects/fastai2/fastai2/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
    205                     except CancelEpochException:   self('after_cancel_epoch')
--> 206                     finally:                       self('after_epoch')
    207 

~/Projects/fastai2/fastai2/learner.py in __call__(self, event_name)
    133 
--> 134     def __call__(self, event_name): L(event_name).map(self._call_one)
    135     def _call_one(self, event_name):

~/Projects/fastcore/fastcore/foundation.py in map(self, f, *args, **kwargs)
    376              else f.__getitem__)
--> 377         return self._new(map(g, self))
    378 

~/Projects/fastcore/fastcore/foundation.py in _new(self, items, *args, **kwargs)
    326     def _xtra(self): return None
--> 327     def _new(self, items, *args, **kwargs): return type(self)(items, *args, use_list=None, **kwargs)
    328     def __getitem__(self, idx): return self._get(idx) if is_indexer(idx) else L(self._get(idx), use_list=None)

~/Projects/fastcore/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
     46 
---> 47         res = super().__call__(*((x,) + args), **kwargs)
     48         res._newchk = 0

~/Projects/fastcore/fastcore/foundation.py in __init__(self, items, use_list, match, *rest)
    317         if (use_list is not None) or not _is_array(items):
--> 318             items = list(items) if use_list else _listify(items)
    319         if match is not None:

~/Projects/fastcore/fastcore/foundation.py in _listify(o)
    253     if isinstance(o, str) or _is_array(o): return [o]
--> 254     if is_iter(o): return list(o)
    255     return [o]

~/Projects/fastcore/fastcore/foundation.py in __call__(self, *args, **kwargs)
    219         fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 220         return self.fn(*fargs, **kwargs)
    221 

~/Projects/fastai2/fastai2/learner.py in _call_one(self, event_name)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/learner.py in <listcomp>(.0)
    136         assert hasattr(event, event_name)
--> 137         [cb(event_name) for cb in sort_by_run(self.cbs)]
    138 

~/Projects/fastai2/fastai2/callback/core.py in __call__(self, event_name)
     23                (self.run_valid and not getattr(self, 'training', False)))
---> 24         if self.run and _run: getattr(self, event_name, noop)()
     25         if event_name=='after_fit': self.run=True #Reset self.run to True at each end of fit

<ipython-input-17-9f319a09409f> in after_epoch(self)
     67         if self.log_preds:
---> 68             inp,preds,targs,out = self.learn.fetch_preds.preds
     69             b = tuplify(inp) + tuplify(targs)

~/Projects/fastcore/fastcore/foundation.py in __getattr__(self, k)
    233             attr = getattr(self,self._default,None)
--> 234             if attr is not None: return getattr(attr,k)
    235         raise AttributeError(k)

AttributeError: 'TabularLearner' object has no attribute 'preds'