---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
/opt/conda/lib/python3.6/site-packages/torch/utils/data/dataloader.py in _try_get_data(self, timeout)
760 try:
--> 761 data = self._data_queue.get(timeout=timeout)
762 return (True, data)
/opt/conda/lib/python3.6/multiprocessing/queues.py in get(self, block, timeout)
103 timeout = deadline - time.monotonic()
--> 104 if not self._poll(timeout):
105 raise Empty
/opt/conda/lib/python3.6/multiprocessing/connection.py in poll(self, timeout)
256 self._check_readable()
--> 257 return self._poll(timeout)
258
/opt/conda/lib/python3.6/multiprocessing/connection.py in _poll(self, timeout)
413 def _poll(self, timeout):
--> 414 r = wait([self], timeout)
415 return bool(r)
/opt/conda/lib/python3.6/multiprocessing/connection.py in wait(object_list, timeout)
910 while True:
--> 911 ready = selector.select(timeout)
912 if ready:
/opt/conda/lib/python3.6/selectors.py in select(self, timeout)
375 try:
--> 376 fd_event_list = self._poll.poll(timeout)
377 except InterruptedError:
/opt/conda/lib/python3.6/site-packages/torch/utils/data/_utils/signal_handling.py in handler(signum, frame)
65 # Python can still get and update the process status successfully.
---> 66 _error_if_any_worker_fails()
67 if previous_handler is not None:
RuntimeError: DataLoader worker (pid 668) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
During handling of the above exception, another exception occurred:
RuntimeError Traceback (most recent call last)
<ipython-input-24-9197f7b90f5b> in <module>
----> 1 model.fit(epochs=10, lr=0.001)
/opt/conda/lib/python3.6/site-packages/arcgis/learn/models/_arcgis_model.py in fit(self, epochs, lr, one_cycle, early_stopping, checkpoint, tensorboard, **kwargs)
543
544 if one_cycle:
--> 545 self.learn.fit_one_cycle(epochs, lr, callbacks=callbacks, **kwargs)
546 else:
547 self.learn.fit(epochs, lr, callbacks=callbacks, **kwargs)
/opt/conda/lib/python3.6/site-packages/fastai/train.py in fit_one_cycle(learn, cyc_len, max_lr, moms, div_factor, pct_start, final_div, wd, callbacks, tot_epochs, start_epoch)
21 callbacks.append(OneCycleScheduler(learn, max_lr, moms=moms, div_factor=div_factor, pct_start=pct_start,
22 final_div=final_div, tot_epochs=tot_epochs, start_epoch=start_epoch))
---> 23 learn.fit(cyc_len, max_lr, wd=wd, callbacks=callbacks)
24
25 def fit_fc(learn:Learner, tot_epochs:int=1, lr:float=defaults.lr, moms:Tuple[float,float]=(0.95,0.85), start_pct:float=0.72,
/opt/conda/lib/python3.6/site-packages/fastai/basic_train.py in fit(self, epochs, lr, wd, callbacks)
198 else: self.opt.lr,self.opt.wd = lr,wd
199 callbacks = [cb(self) for cb in self.callback_fns + listify(defaults.extra_callback_fns)] + listify(callbacks)
--> 200 fit(epochs, self, metrics=self.metrics, callbacks=self.callbacks+callbacks)
201
202 def create_opt(self, lr:Floats, wd:Floats=0.)->None:
/opt/conda/lib/python3.6/site-packages/fastai/basic_train.py in fit(epochs, learn, callbacks, metrics)
97 cb_handler.set_dl(learn.data.train_dl)
98 cb_handler.on_epoch_begin()
---> 99 for xb,yb in progress_bar(learn.data.train_dl, parent=pbar):
100 xb, yb = cb_handler.on_batch_begin(xb, yb)
101 loss = loss_batch(learn.model, xb, yb, learn.loss_func, learn.opt, cb_handler)
/opt/conda/lib/python3.6/site-packages/fastprogress/fastprogress.py in __iter__(self)
45 except Exception as e:
46 self.on_interrupt()
---> 47 raise e
48
49 def update(self, val):
/opt/conda/lib/python3.6/site-packages/fastprogress/fastprogress.py in __iter__(self)
39 if self.total != 0: self.update(0)
40 try:
---> 41 for i,o in enumerate(self.gen):
42 if i >= self.total: break
43 yield o
/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)
839
840 assert not self._shutdown and self._tasks_outstanding > 0
--> 841 idx, data = self._get_data()
842 self._tasks_outstanding -= 1
843
/opt/conda/lib/python3.6/site-packages/torch/utils/data/dataloader.py in _get_data(self)
806 else:
807 while True:
--> 808 success, data = self._try_get_data()
809 if success:
810 return data
/opt/conda/lib/python3.6/site-packages/torch/utils/data/dataloader.py in _try_get_data(self, timeout)
772 if len(failed_workers) > 0:
773 pids_str = ', '.join(str(w.pid) for w in failed_workers)
--> 774 raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str))
775 if isinstance(e, queue.Empty):
776 return (False, None)
RuntimeError: DataLoader worker (pid(s) 668) exited unexpectedly
