["python","pytorch"]
CUDA runtime error (59) : device-side assert triggered

THCudaCheck FAIL file=/opt/conda/conda-bld/pytorch_1524584710464/work/aten/src/THC/generated/../generic/THCTensorMathPointwise.cu line=265 error=59 : device-side assert triggered Traceback (most recent call last): File "main.py", line 109, in <module> train(loader_train, model, criterion, optimizer) File "main.py", line 54, in train optimizer.step() File "/usr/local/anaconda35/lib/python3.6/site-packages/torch/optim/sgd.py", line 93, in step d_p.add_(weight_decay, p.data) RuntimeError: cuda runtime error (59) : device-side assert triggered at /opt/conda/conda-bld/pytorch_1524584710464/work/aten/src/THC/generated/../generic/THCTensorMathPointwise.cu:265 How do I resolve this error?
In general, when encountering cuda runtine errors, it is advisable to run your program again using the CUDA_LAUNCH_BLOCKING=1 flag to obtain an accurate stack trace. In your specific case, the targets of your data were too high (or low) for the specified number of classes.