Hello All,

I’m encountering a strange error with the *Lesson 2 Image Models* notebook. It echoes this error, where there is expecting a float tensor but finding a long tensor. Is there a good way to diagnose how the library is reading in the data? I’m new to this library but have some experience with Keras.

Every similar issue appears to be windows related, but I am running on Paperspace using the Ubuntu Template. I’ve tried pulling the course repo and updating my environment again but don’t understand the workings of fastai well enough to feel comfortable tinkerig with the codebase.

Stack Trace:

```
RuntimeError Traceback (most recent call last)
<ipython-input-34-c69896a35d32> in <module>()
----> 1 lrf=learn.lr_find()
2 learn.sched.plot()
~/fastai/courses/dl1/fastai/learner.py in lr_find(self, start_lr, end_lr, wds, linear)
256 layer_opt = self.get_layer_opt(start_lr, wds)
257 self.sched = LR_Finder(layer_opt, len(self.data.trn_dl), end_lr, linear=linear)
--> 258 self.fit_gen(self.model, self.data, layer_opt, 1)
259 self.load('tmp')
260
~/fastai/courses/dl1/fastai/learner.py in fit_gen(self, model, data, layer_opt, n_cycle, cycle_len, cycle_mult, cycle_save_name, best_save_name, use_clr, metrics, callbacks, use_wd_sched, norm_wds, wds_sched_mult, **kwargs)
160 n_epoch = sum_geom(cycle_len if cycle_len else 1, cycle_mult, n_cycle)
161 return fit(model, data, n_epoch, layer_opt.opt, self.crit,
--> 162 metrics=metrics, callbacks=callbacks, reg_fn=self.reg_fn, clip=self.clip, **kwargs)
163
164 def get_layer_groups(self): return self.models.get_layer_groups()
~/fastai/courses/dl1/fastai/model.py in fit(model, data, epochs, opt, crit, metrics, callbacks, stepper, **kwargs)
94 batch_num += 1
95 for cb in callbacks: cb.on_batch_begin()
---> 96 loss = stepper.step(V(x),V(y))
97 avg_loss = avg_loss * avg_mom + loss * (1-avg_mom)
98 debias_loss = avg_loss / (1 - avg_mom**batch_num)
~/fastai/courses/dl1/fastai/model.py in step(self, xs, y)
41 if isinstance(output,tuple): output,*xtra = output
42 self.opt.zero_grad()
---> 43 loss = raw_loss = self.crit(output, y)
44 if self.reg_fn: loss = self.reg_fn(output, xtra, raw_loss)
45 loss.backward()
~/anaconda3/envs/fastai/lib/python3.6/site-packages/torch/nn/functional.py in binary_cross_entropy(input, target, weight, size_average)
1198 weight = Variable(weight)
1199
-> 1200 return torch._C._nn.binary_cross_entropy(input, target, weight, size_average)
1201
1202
RuntimeError: Expected object of type Variable[torch.cuda.FloatTensor] but found type Variable[torch.cuda.LongTensor] for argument #1 'target'```
```