sometimes CUDA error: device-side assert triggered
occurs. with this.
The error indicates loss = torch.tensor(0).float().cuda()
.
This is my code.
loss = torch.tensor(0).float().cuda()
...get loss_A
loss += loss_A
What`s wrong in my code?
sometimes CUDA error: device-side assert triggered
occurs. with this.
The error indicates loss = torch.tensor(0).float().cuda()
.
This is my code.
loss = torch.tensor(0).float().cuda()
...get loss_A
loss += loss_A
What`s wrong in my code?
I don’t think loss = torch.tensor(0).float().cuda()
is needed. loss = 0
will suffice. Did you try just that?
The error message points to a target values, which is out of bounds:
Assertion `cur_target >= 0 && cur_target < n_classes` failed
Make sure the target contains values in the range [0, nb_classes-1]
for nn.CrossEntropyLoss
or nn.NLLLoss
.