We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
train Loss: 2.7186 Acc: 0.4082 /pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [0,0,0] Assertion t >= 0 && t < n_classes failed. /pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [8,0,0] Assertion t >= 0 && t < n_classes failed. /pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [11,0,0] Assertion t >= 0 && t < n_classes failed. /pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [20,0,0] Assertion t >= 0 && t < n_classes failed. /pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [31,0,0] Assertion t >= 0 && t < n_classes failed. Traceback (most recent call last): File "train.py", line 577, in num_epochs=opt.total_epoch) File "train.py", line 379, in train_model running_loss += loss.item() * now_batch_size RuntimeError: CUDA error: device-side assert triggered
t >= 0 && t < n_classes
The text was updated successfully, but these errors were encountered:
Hi @Schanppi Sorry for the late response.
It looks similar to pytorch/pytorch#1204
Do you label correct? Are there any label out-of-the-space?
Sorry, something went wrong.
No branches or pull requests
Epoch 0/59
train Loss: 2.7186 Acc: 0.4082
/pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [0,0,0] Assertion
t >= 0 && t < n_classes
failed./pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [8,0,0] Assertion
t >= 0 && t < n_classes
failed./pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [11,0,0] Assertion
t >= 0 && t < n_classes
failed./pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [20,0,0] Assertion
t >= 0 && t < n_classes
failed./pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [31,0,0] Assertion
t >= 0 && t < n_classes
failed.Traceback (most recent call last):
File "train.py", line 577, in
num_epochs=opt.total_epoch)
File "train.py", line 379, in train_model
running_loss += loss.item() * now_batch_size
RuntimeError: CUDA error: device-side assert triggered
The text was updated successfully, but these errors were encountered: