You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
hi, recently i use my own dataset and run Deeplab V3+, but i got the error.
i think this is about the classes but i sure that my classes is 6+1(background), and i have changed the number in utils.py and .py. and i really don't know how to fix it. does anyone know this? i will very appreciate if anyone can help me fix this problem.
BTW. i used to run successfully with 2 classes, but when i used other dataset and change to 7, it run out the error.
and .py is modified from pascal.py, i only change the class name, num classes and base dir to my dataset. other parts maintain the same as pascal.py.
--------------my error message-----------
C:\w\b\windows\pytorch\aten\src\ATen\native\cuda\NLLLoss2d.cu:95: block: [0,0,0], thread: [708,0,0] Assertion t >= 0 && t < n_classes failed.
C:\w\b\windows\pytorch\aten\src\ATen\native\cuda\NLLLoss2d.cu:95: block: [0,0,0], thread: [709,0,0] Assertion t >= 0 && t < n_classes failed.
C:\w\b\windows\pytorch\aten\src\ATen\native\cuda\NLLLoss2d.cu:95: block: [0,0,0], thread: [710,0,0] Assertion t >= 0 && t < n_classes failed.
...
Traceback (most recent call last):
File "train.py", line 388, in
main()
File "train.py", line 374, in main
trainer.training(epoch)
File "train.py", line 134, in training
loss = self.criterion(output, target)
File "N:\pytorch-deeplab-xception-master\utils\loss.py", line 28, in CrossEntropyLoss
loss = criterion(logit, target.long())
File "C:\Users\LOC\anaconda3\envs\envfordeeplab1229\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Users\LOC\anaconda3\envs\envfordeeplab1229\lib\site-packages\torch\nn\modules\loss.py", line 1152, in forward
label_smoothing=self.label_smoothing)
File "C:\Users\LOC\anaconda3\envs\envfordeeplab1229\lib\site-packages\torch\nn\functional.py", line 2846, in cross_entropy
return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
RuntimeError: CUDA error: device-side assert triggered
The text was updated successfully, but these errors were encountered:
I have met the same questions as you.Would you deal with it yet? One month ago,I can run it with no problem. But this time,when I git it again, it reported this ERROR, that's so strange.
yes i can run the code now, however i haven't try multi classes yet. now my data only contains 1 kind target and background.
i processed my label data as indices, which means only 0 and 1 (cause only 2 classes now), the two value in the label image.
I have met the same questions as you.Would you deal with it yet? One month ago,I can run it with no problem. But this time,when I git it again, it reported this ERROR, that's so strange.
I have met the same questions as you.Would you deal with it yet? One month ago,I can run it with no problem. But this time,when I git it again, it reported this ERROR, that's so strange.
hi, recently i use my own dataset and run Deeplab V3+, but i got the error.
i think this is about the classes but i sure that my classes is 6+1(background), and i have changed the number in utils.py and .py. and i really don't know how to fix it. does anyone know this? i will very appreciate if anyone can help me fix this problem.
BTW. i used to run successfully with 2 classes, but when i used other dataset and change to 7, it run out the error.
and .py is modified from pascal.py, i only change the class name, num classes and base dir to my dataset. other parts maintain the same as pascal.py.
--------------my error message-----------
C:\w\b\windows\pytorch\aten\src\ATen\native\cuda\NLLLoss2d.cu:95: block: [0,0,0], thread: [708,0,0] Assertion
t >= 0 && t < n_classes
failed.C:\w\b\windows\pytorch\aten\src\ATen\native\cuda\NLLLoss2d.cu:95: block: [0,0,0], thread: [709,0,0] Assertion
t >= 0 && t < n_classes
failed.C:\w\b\windows\pytorch\aten\src\ATen\native\cuda\NLLLoss2d.cu:95: block: [0,0,0], thread: [710,0,0] Assertion
t >= 0 && t < n_classes
failed....
Traceback (most recent call last):
File "train.py", line 388, in
main()
File "train.py", line 374, in main
trainer.training(epoch)
File "train.py", line 134, in training
loss = self.criterion(output, target)
File "N:\pytorch-deeplab-xception-master\utils\loss.py", line 28, in CrossEntropyLoss
loss = criterion(logit, target.long())
File "C:\Users\LOC\anaconda3\envs\envfordeeplab1229\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Users\LOC\anaconda3\envs\envfordeeplab1229\lib\site-packages\torch\nn\modules\loss.py", line 1152, in forward
label_smoothing=self.label_smoothing)
File "C:\Users\LOC\anaconda3\envs\envfordeeplab1229\lib\site-packages\torch\nn\functional.py", line 2846, in cross_entropy
return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
RuntimeError: CUDA error: device-side assert triggered
The text was updated successfully, but these errors were encountered: