Error on colab, with fastai2, @ learn.fit_one_cycle(4) about fastprogress HOT 6 CLOSED

!pip install git+https://github.com/fastai/fastprogress

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
    284             try:
--> 285                 self._do_begin_fit(n_epoch)
    286                 for epoch in range(n_epoch):

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in _do_begin_fit(self, n_epoch)
    258     def _do_begin_fit(self, n_epoch):
--> 259         self.n_epoch,self.loss = n_epoch,tensor(0.);         self('begin_fit')
    260 

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in __call__(self, event_name)
    222 
--> 223     def __call__(self, event_name): L(event_name).map(self._call_one)
    224     def _call_one(self, event_name):

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in map(self, f, *args, **kwargs)
    361              else f.__getitem__)
--> 362         return self._new(map(g, self))
    363 

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in _new(self, items, *args, **kwargs)
    314     def _xtra(self): return None
--> 315     def _new(self, items, *args, **kwargs): return type(self)(items, *args, use_list=None, **kwargs)
    316     def __getitem__(self, idx): return self._get(idx) if is_indexer(idx) else L(self._get(idx), use_list=None)

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
     40 
---> 41         res = super().__call__(*((x,) + args), **kwargs)
     42         res._newchk = 0

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in __init__(self, items, use_list, match, *rest)
    305         if (use_list is not None) or not _is_array(items):
--> 306             items = list(items) if use_list else _listify(items)
    307         if match is not None:

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in _listify(o)
    241     if isinstance(o, str) or _is_array(o): return [o]
--> 242     if is_iter(o): return list(o)
    243     return [o]

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in __call__(self, *args, **kwargs)
    207         fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 208         return self.fn(*fargs, **kwargs)
    209 

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in _call_one(self, event_name)
    225         assert hasattr(event, event_name)
--> 226         [cb(event_name) for cb in sort_by_run(self.cbs)]
    227 

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in <listcomp>(.0)
    225         assert hasattr(event, event_name)
--> 226         [cb(event_name) for cb in sort_by_run(self.cbs)]
    227 

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in __call__(self, event_name)
     24                (self.run_valid and not getattr(self, 'training', False)))
---> 25         if self.run and _run: getattr(self, event_name, noop)()
     26 

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/callback/schedule.py in begin_fit(self)
    151         super().begin_fit()
--> 152         self.learn.save('_tmp')
    153         self.best_loss = float('inf')

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in save(self, file, with_opt)
    355         if rank_distrib(): return # don't save if slave proc
--> 356         file = join_path_file(file, self.path/self.model_dir, ext='.pth')
    357         save_model(file, self.model, getattr(self,'opt',None), with_opt)

TypeError: unsupported operand type(s) for /: 'str' and 'str'

During handling of the above exception, another exception occurred:

AttributeError                            Traceback (most recent call last)
<ipython-input-13-d81c6bd29d71> in <module>
----> 1 learn.lr_find()

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/callback/schedule.py in lr_find(self, start_lr, end_lr, num_it, stop_div, show_plot)
    194     n_epoch = num_it//len(self.dls.train) + 1
    195     cb=LRFinder(start_lr=start_lr, end_lr=end_lr, num_it=num_it, stop_div=stop_div)
--> 196     with self.no_logging(): self.fit(n_epoch, cbs=cb)
    197     if show_plot: self.recorder.plot_lr_find()

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
    293 
    294             except CancelFitException:             self('after_cancel_fit')
--> 295             finally:                               self('after_fit')
    296 
    297     def validate(self, ds_idx=1, dl=None, cbs=None):

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in __call__(self, event_name)
    221     def ordered_cbs(self, cb_func:str): return [cb for cb in sort_by_run(self.cbs) if hasattr(cb, cb_func)]
    222 
--> 223     def __call__(self, event_name): L(event_name).map(self._call_one)
    224     def _call_one(self, event_name):
    225         assert hasattr(event, event_name)

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in map(self, f, *args, **kwargs)
    360              else f.format if isinstance(f,str)
    361              else f.__getitem__)
--> 362         return self._new(map(g, self))
    363 
    364     def filter(self, f, negate=False, **kwargs):

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in _new(self, items, *args, **kwargs)
    313     @property
    314     def _xtra(self): return None
--> 315     def _new(self, items, *args, **kwargs): return type(self)(items, *args, use_list=None, **kwargs)
    316     def __getitem__(self, idx): return self._get(idx) if is_indexer(idx) else L(self._get(idx), use_list=None)
    317     def copy(self): return self._new(self.items.copy())

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
     39             return x
     40 
---> 41         res = super().__call__(*((x,) + args), **kwargs)
     42         res._newchk = 0
     43         return res

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in __init__(self, items, use_list, match, *rest)
    304         if items is None: items = []
    305         if (use_list is not None) or not _is_array(items):
--> 306             items = list(items) if use_list else _listify(items)
    307         if match is not None:
    308             if is_coll(match): match = len(match)

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in _listify(o)
    240     if isinstance(o, list): return o
    241     if isinstance(o, str) or _is_array(o): return [o]
--> 242     if is_iter(o): return list(o)
    243     return [o]
    244 

~/daisy-gan/venv/lib/python3.6/site-packages/fastcore/foundation.py in __call__(self, *args, **kwargs)
    206             if isinstance(v,_Arg): kwargs[k] = args.pop(v.i)
    207         fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 208         return self.fn(*fargs, **kwargs)
    209 
    210 # Cell

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in _call_one(self, event_name)
    224     def _call_one(self, event_name):
    225         assert hasattr(event, event_name)
--> 226         [cb(event_name) for cb in sort_by_run(self.cbs)]
    227 
    228     def _bn_bias_state(self, with_bias): return bn_bias_params(self.model, with_bias).map(self.opt.state)

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in <listcomp>(.0)
    224     def _call_one(self, event_name):
    225         assert hasattr(event, event_name)
--> 226         [cb(event_name) for cb in sort_by_run(self.cbs)]
    227 
    228     def _bn_bias_state(self, with_bias): return bn_bias_params(self.model, with_bias).map(self.opt.state)

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/learner.py in __call__(self, event_name)
     23         _run = (event_name not in _inner_loop or (self.run_train and getattr(self, 'training', True)) or
     24                (self.run_valid and not getattr(self, 'training', False)))
---> 25         if self.run and _run: getattr(self, event_name, noop)()
     26 
     27     @property

~/daisy-gan/venv/lib/python3.6/site-packages/fastai2/callback/progress.py in after_fit(self)
     37     def after_fit(self):
     38         if getattr(self, 'mbar', False):
---> 39             self.mbar.on_iter_end()
     40             delattr(self, 'mbar')
     41         self.learn.logger = self.old_logger

~/daisy-gan/venv/lib/python3.6/site-packages/fastprogress/fastprogress.py in on_iter_end(self)
    155             total_time = format_time(time.time() - self.main_bar.start_t)
    156             self.text = f'Total time: {total_time} <p>' + self.text
--> 157         self.out.update(HTML(self.text))
    158 
    159     def add_child(self, child):

AttributeError: 'NBMasterBar' object has no attribute 'out'