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| --------------------------------------------------------------------------- | |
| 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' |
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