Closed ghost closed 2 years ago
Hi @introvertedbot , I will be taking a look at it tonight
Hello! I had a quick look at this. This arises from the loss function if your targets are of the wrong type. The loss_func expects targets of float type.
To reproduce your error:
m = nn.Sigmoid()
loss_func = nn.BCEWithLogitsLoss()
input = torch.randn(3, requires_grad=True)
target = torch.empty(3).random_(2).long() # target casted as long
loss = loss_func(m(input), target)
loss.backward()
To fix the error, simply cast the targets to float here loss_func(preds, sentiment.float())
or when you make your target tensor.
In the rnn.py file, while training there's an error that says the following :
RuntimeError: result type Float can't be cast to the desired output type Long
Please fix it, it'll be a great help Thanks