I’m stuggling to run the notebook of the first lesson to run on GCP, I followed the tutorial of creatign a new instance on GCP, everything runs up the 51’th line learn.fit_one_cycle(4), After which I get :
epoch train_loss valid_loss error_rate time
Interrupted
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-51-495233eaf2b4> in <module>
----> 1 learn.fit_one_cycle(4)
/opt/conda/lib/python3.7/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/python3.7/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/python3.7/site-packages/fastai/basic_train.py in fit(epochs, learn, callbacks, metrics)
104 if not cb_handler.skip_validate and not learn.data.empty_val:
105 val_loss = validate(learn.model, learn.data.valid_dl, loss_func=learn.loss_func,
--> 106 cb_handler=cb_handler, pbar=pbar)
107 else: val_loss=None
108 if cb_handler.on_epoch_end(val_loss): break
/opt/conda/lib/python3.7/site-packages/fastai/basic_train.py in validate(model, dl, loss_func, cb_handler, pbar, average, n_batch)
55 val_losses,nums = [],[]
56 if cb_handler: cb_handler.set_dl(dl)
---> 57 for xb,yb in progress_bar(dl, parent=pbar, leave=(pbar is not None)):
58 if cb_handler: xb, yb = cb_handler.on_batch_begin(xb, yb, train=False)
59 val_loss = loss_batch(model, xb, yb, loss_func, cb_handler=cb_handler)
/opt/conda/lib/python3.7/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/python3.7/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/python3.7/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/python3.7/site-packages/torch/utils/data/dataloader.py in __iter__(self)
277 return _SingleProcessDataLoaderIter(self)
278 else:
--> 279 return _MultiProcessingDataLoaderIter(self)
280
281 @property
/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py in __init__(self, loader)
717 # before it starts, and __del__ tries to join but will get:
718 # AssertionError: can only join a started process.
--> 719 w.start()
720 self._index_queues.append(index_queue)
721 self._workers.append(w)
/opt/conda/lib/python3.7/multiprocessing/process.py in start(self)
110 'daemonic processes are not allowed to have children'
111 _cleanup()
--> 112 self._popen = self._Popen(self)
113 self._sentinel = self._popen.sentinel
114 # Avoid a refcycle if the target function holds an indirect
/opt/conda/lib/python3.7/multiprocessing/context.py in _Popen(process_obj)
221 @staticmethod
222 def _Popen(process_obj):
--> 223 return _default_context.get_context().Process._Popen(process_obj)
224
225 class DefaultContext(BaseContext):
/opt/conda/lib/python3.7/multiprocessing/context.py in _Popen(process_obj)
275 def _Popen(process_obj):
276 from .popen_fork import Popen
--> 277 return Popen(process_obj)
278
279 class SpawnProcess(process.BaseProcess):
/opt/conda/lib/python3.7/multiprocessing/popen_fork.py in __init__(self, process_obj)
18 self.returncode = None
19 self.finalizer = None
---> 20 self._launch(process_obj)
21
22 def duplicate_for_child(self, fd):
/opt/conda/lib/python3.7/multiprocessing/popen_fork.py in _launch(self, process_obj)
68 code = 1
69 parent_r, child_w = os.pipe()
---> 70 self.pid = os.fork()
71 if self.pid == 0:
72 try:
OSError: [Errno 12] Cannot allocate memory
Thanks,
Barak