Full Error

gistfile1.txt

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TypeError                                 Traceback (most recent call last)
<ipython-input-135-ff787261f72f> in <module>()
----> 1 learn.fit(1e-2, 2, wds=wd, cycle_len=1, cycle_mult=2)

~/Python/FastAi-1-v2/Project/fastai/learner.py in fit(self, lrs, n_cycle, wds, **kwargs)
    190         self.sched = None
    191         layer_opt = self.get_layer_opt(lrs, wds)
--> 192         self.fit_gen(self.model, self.data, layer_opt, n_cycle, **kwargs)
    193 
    194     def lr_find(self, start_lr=1e-5, end_lr=10, wds=None):

~/Python/FastAi-1-v2/Project/fastai/learner.py in fit_gen(self, model, data, layer_opt, n_cycle, cycle_len, cycle_mult, cycle_save_name, metrics, callbacks, use_wd_sched, **kwargs)
    137         n_epoch = sum_geom(cycle_len if cycle_len else 1, cycle_mult, n_cycle)
    138         fit(model, data, n_epoch, layer_opt.opt, self.crit,
--> 139             metrics=metrics, callbacks=callbacks, reg_fn=self.reg_fn, clip=self.clip, **kwargs)
    140 
    141     def get_layer_groups(self): return self.models.get_layer_groups()

~/Python/FastAi-1-v2/Project/fastai/model.py in fit(model, data, epochs, opt, crit, metrics, callbacks, **kwargs)
     83             batch_num += 1
     84             for cb in callbacks: cb.on_batch_begin()
---> 85             loss = stepper.step(V(x),V(y))
     86             avg_loss = avg_loss * avg_mom + loss * (1-avg_mom)
     87             debias_loss = avg_loss / (1 - avg_mom**batch_num)

~/Python/FastAi-1-v2/Project/fastai/model.py in step(self, xs, y)
     38     def step(self, xs, y):
     39         xtra = []
---> 40         output = self.m(*xs)
     41         if isinstance(output,(tuple,list)): output,*xtra = output
     42         self.opt.zero_grad()

~/anaconda3/envs/fastAi-1-v2/lib/python3.6/site-packages/torch/nn/modules/module.py in __call__(self, *input, **kwargs)
    222         for hook in self._forward_pre_hooks.values():
    223             hook(self, input)
--> 224         result = self.forward(*input, **kwargs)
    225         for hook in self._forward_hooks.values():
    226             hook_result = hook(self, input, result)

~/Python/FastAi-1-v2/Project/fastai/column_data.py in forward(self, users, items)
    183         um = self.u(users)* self.i(items)
    184         res = um.sum(1) + self.ub(users).squeeze() + self.ib(items).squeeze()
--> 185         return F.sigmoid(res) * (self.max_score-self.min_score) + self.min_score
    186 
    187 class CollabFilterLearner(Learner):

~/anaconda3/envs/fastAi-1-v2/lib/python3.6/site-packages/torch/autograd/variable.py in __mul__(self, other)
    827 
    828     def __mul__(self, other):
--> 829         return self.mul(other)
    830     __rmul__ = __mul__
    831 

~/anaconda3/envs/fastAi-1-v2/lib/python3.6/site-packages/torch/autograd/variable.py in mul(self, other)
    340         else:
    341             assert not torch.is_tensor(other)
--> 342             return MulConstant.apply(self, other)
    343 
    344     def mul_(self, other):

~/anaconda3/envs/fastAi-1-v2/lib/python3.6/site-packages/torch/autograd/_functions/basic_ops.py in forward(ctx, a, b, inplace)
    147             return tensor.mul_(ctx.constant)
    148         else:
--> 149             return tensor.mul(ctx.constant)
    150 
    151     @staticmetho