cudaCheckError Occurs During Training
Symptom
The following error occurs when the training code is run in a notebook instance:
cudaCheckError() failed : no kernel image is available for execution on the device
Possible Causes
Parameters arch and code in setup.py have not been set to match the GPU compute.
Solution
For GP Vnt1 GPUs, the GPU compute is -gencode arch=compute_70,code=[sm_70,compute_70]. Set the parameters in setup.py accordingly.
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