I got ' 'str' object has no attribute 'dim'' by simply running the notebook. Any idea where is the error?
Epoch 1 / 10
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-31-c5138ddf6b25> in <module>
12
13 #train model
---> 14 train_loss, _ = train()
15
16 #evaluate model
<ipython-input-21-a8875e82e2a3> in train()
25
26 # get model predictions for the current batch
---> 27 preds = model(sent_id, mask)
28
29 # compute the loss between actual and predicted values
~/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
725 result = self._slow_forward(*input, **kwargs)
726 else:
--> 727 result = self.forward(*input, **kwargs)
728 for hook in itertools.chain(
729 _global_forward_hooks.values(),
<ipython-input-16-9ebdcf410f97> in forward(self, sent_id, mask)
28 _, cls_hs = self.bert(sent_id, attention_mask=mask)
29
---> 30 x = self.fc1(cls_hs)
31
32 x = self.relu(x)
~/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
725 result = self._slow_forward(*input, **kwargs)
726 else:
--> 727 result = self.forward(*input, **kwargs)
728 for hook in itertools.chain(
729 _global_forward_hooks.values(),
~/anaconda3/lib/python3.8/site-packages/torch/nn/modules/linear.py in forward(self, input)
91
92 def forward(self, input: Tensor) -> Tensor:
---> 93 return F.linear(input, self.weight, self.bias)
94
95 def extra_repr(self) -> str:
~/anaconda3/lib/python3.8/site-packages/torch/nn/functional.py in linear(input, weight, bias)
1686 if any([type(t) is not Tensor for t in tens_ops]) and has_torch_function(tens_ops):
1687 return handle_torch_function(linear, tens_ops, input, weight, bias=bias)
-> 1688 if input.dim() == 2 and bias is not None:
1689 # fused op is marginally faster
1690 ret = torch.addmm(bias, input, weight.t())
AttributeError: 'str' object has no attribute 'dim'