Hi there,
I have setup the Gradient environment per instructed and double checked the fastai library and git pull are the most up-to-date
When I tried to run the cell under “Running Your First Notebook” for Cats and Dogs train in nb “01_intro”, I got the following errors:
NameError Traceback (most recent call last)
in
10 label_func=is_cat, item_tfms=Resize(224))
11
—> 12 learn = cnn_learner(dls, resnet34, metrics=error_rate)
13 learn.fine_tune(1)
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastai/vision/learner.py in cnn_learner(dls, arch, normalize, n_out, pretrained, config, loss_func, opt_func, lr, splitter, cbs, metrics, path, model_dir, wd, wd_bn_bias, train_bn, moms, **kwargs)
178
179 splitter=ifnone(splitter, meta[‘split’])
–> 180 learn = Learner(dls=dls, model=model, loss_func=loss_func, opt_func=opt_func, lr=lr, splitter=splitter, cbs=cbs,
181 metrics=metrics, path=path, model_dir=model_dir, wd=wd, wd_bn_bias=wd_bn_bias, train_bn=train_bn,
182 moms=moms)
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastai/learner.py in init(self, dls, model, loss_func, opt_func, lr, splitter, cbs, metrics, path, model_dir, wd, wd_bn_bias, train_bn, moms)
92 self.training,self.create_mbar,self.logger,self.opt,self.cbs = False,True,print,None,L()
93 self.add_cbs([(cb() if isinstance(cb, type) else cb) for cb in L(defaults.callbacks)+L(cbs)])
—> 94 self(“after_create”)
95
96 @property
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastai/learner.py in call(self, event_name)
131 def ordered_cbs(self, event): return [cb for cb in sort_by_run(self.cbs) if hasattr(cb, event)]
132
–> 133 def call(self, event_name): L(event_name).map(self._call_one)
134
135 def _call_one(self, event_name):
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastcore/foundation.py in map(self, f, gen, *args, **kwargs)
152 def range(cls, a, b=None, step=None): return cls(range_of(a, b=b, step=step))
153
–> 154 def map(self, f, *args, gen=False, **kwargs): return self._new(map_ex(self, f, *args, gen=gen, **kwargs))
155 def argwhere(self, f, negate=False, **kwargs): return self._new(argwhere(self, f, negate, **kwargs))
156 def filter(self, f=noop, negate=False, gen=False, **kwargs):
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastcore/basics.py in map_ex(iterable, f, gen, *args, **kwargs)
654 res = map(g, iterable)
655 if gen: return res
–> 656 return list(res)
657
658 # Cell
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastcore/basics.py in call(self, *args, **kwargs)
644 if isinstance(v,_Arg): kwargs[k] = args.pop(v.i)
645 fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
–> 646 return self.func(*fargs, **kwargs)
647
648 # Cell
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastai/learner.py in _call_one(self, event_name)
135 def _call_one(self, event_name):
136 assert hasattr(event, event_name), event_name
–> 137 [cb(event_name) for cb in sort_by_run(self.cbs)]
138
139 def _bn_bias_state(self, with_bias): return norm_bias_params(self.model, with_bias).map(self.opt.state)
/opt/conda/envs/fastai/lib/python3.8/site-packages/fastcore/xtras.py in sort_by_run(fs)
377 while len(inp):
378 for i,o in enumerate(inp):
–> 379 if _is_first(o, inp):
380 res.append(inp.pop(i))
381 break
NameError: name ‘_is_first’ is not defined
Then I switched to Colab and got the exact same error as above. Any clue on this? Thanks!