I get this error when i run my google collab code.
Failed to display Jupyter Widget of type HBox.
If you’re reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean that the widgets JavaScript is still loading. If this message persists, it likely means that the widgets JavaScript library is either not installed or not enabled. See the Jupyter Widgets Documentation for setup instructions.
If you’re reading this message in another frontend (for example, a static rendering on GitHub or NBViewer), it may mean that your frontend doesn’t currently support widgets.
0%| | 0/719 [00:00<?, ?it/s]
RuntimeError Traceback (most recent call last)
in ()
2 data = ImageClassifierData.from_paths(PATH, tfms=tfms_from_model(arch, sz), bs=32)
3 learn = ConvLearner.pretrained(arch, data, precompute=True)
----> 4 learn.fit(0.01, 3)
/usr/local/lib/python3.6/dist-packages/fastai/learner.py in fit(self, lrs, n_cycle, wds, **kwargs)
97 self.sched = None
98 layer_opt = self.get_layer_opt(lrs, wds)
—> 99 self.fit_gen(self.model, self.data, layer_opt, n_cycle, **kwargs)
100
101 def lr_find(self, start_lr=1e-5, end_lr=10, wds=None):
/usr/local/lib/python3.6/dist-packages/fastai/learner.py in fit_gen(self, model, data, layer_opt, n_cycle, cycle_len, cycle_mult, cycle_save_name, metrics, callbacks, **kwargs)
87 n_epoch = sum_geom(cycle_len if cycle_len else 1, cycle_mult, n_cycle)
88 fit(model, data, n_epoch, layer_opt.opt, self.crit,
—> 89 metrics=metrics, callbacks=callbacks, reg_fn=self.reg_fn, clip=self.clip, **kwargs)
90
91 def get_layer_groups(self): return self.models.get_layer_groups()
/usr/local/lib/python3.6/dist-packages/fastai/model.py in fit(model, data, epochs, opt, crit, metrics, callbacks, kwargs)
82 for (*x,y) in t:
83 batch_num += 1
—> 84 loss = stepper.step(V(x),V(y))
85 avg_loss = avg_loss * avg_mom + loss * (1-avg_mom)
86 debias_loss = avg_loss / (1 - avg_mombatch_num)
/usr/local/lib/python3.6/dist-packages/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()
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
323 for hook in self._forward_pre_hooks.values():
324 hook(self, input)
–> 325 result = self.forward(*input, **kwargs)
326 for hook in self._forward_hooks.values():
327 hook_result = hook(self, input, result)
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/container.py in forward(self, input)
65 def forward(self, input):
66 for module in self._modules.values():
—> 67 input = module(input)
68 return input
69
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
323 for hook in self._forward_pre_hooks.values():
324 hook(self, input)
–> 325 result = self.forward(*input, **kwargs)
326 for hook in self._forward_hooks.values():
327 hook_result = hook(self, input, result)
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/linear.py in forward(self, input)
53
54 def forward(self, input):
—> 55 return F.linear(input, self.weight, self.bias)
56
57 def repr(self):
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py in linear(input, weight, bias)
833 if input.dim() == 2 and bias is not None:
834 # fused op is marginally faster
–> 835 return torch.addmm(bias, input, weight.t())
836
837 output = input.matmul(weight.t())
RuntimeError: cublas runtime error : the GPU program failed to execute at /pytorch/torch/lib/THC/THCBlas.cu:246