PyTorch: Difference between revisions

19 bytes added ,  5 April 2021
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==Debugging==
==Debugging==
{{see also | Debugging ML Models}}
{{see also | Debugging ML Models}}
If you get a cuda kernel error, you can rerun with the environment variable <code>CUDA_LAUNCH_BLOCKING=1</code> to get the correct line.   
If you get a cuda kernel error, you can rerun with the environment variable <code>CUDA_LAUNCH_BLOCKING=1</code> to get the correct line in the stack trace.   
<pre>
<pre>
CUDA_LAUNCH_BLOCKING=1 python app.py
CUDA_LAUNCH_BLOCKING=1 python app.py