I revisited my notebook after a couple of days and got this UnboundLocalError while calling learn.fit_one_cycle(4)
.
UnboundLocalError Traceback (most recent call last)
in ()
----> 1 learn.fit_one_cycle(4)4 frames
/usr/local/lib/python3.6/dist-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,/usr/local/lib/python3.6/dist-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:/usr/local/lib/python3.6/dist-packages/fastai/basic_train.py in fit(epochs, learn, callbacks, metrics)
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)
102 if cb_handler.on_batch_end(loss): break
103/usr/local/lib/python3.6/dist-packages/fastai/basic_train.py in loss_batch(model, xb, yb, loss_func, opt, cb_handler)
33 loss,skip_bwd = cb_handler.on_backward_begin(loss)
34 if not skip_bwd: loss.backward()
—> 35 if not cb_handler.on_backward_end(): opt.step()
36 if not cb_handler.on_step_end(): opt.zero_grad()
37/usr/local/lib/python3.6/dist-packages/fastai/callback.py in step(self)
51 if self.true_wd:
52 for lr,wd,pg1,pg2 in zip(self._lr,self.wd,self.opt.param_groups[::2],self.opt.param_groups[1::2]):
—> 53 if p.grad is None: continue
54 for p in pg1[‘params’]: p.data.mul(1 - wd*lr)
55 if self.bn_wd:UnboundLocalError: local variable ‘p’ referenced before assignment
I have tried downgrading PyTorch to 1.4.0 from 1.5.0 and use the latest version of fastai library and searched for it but I couldn’t find as to what is wrong here.