Yip, followed deepstack's instructions to the letter in copying extracted CUDnn files into CUDA folder.
However, I didn't copy anything into the "
windows_packages" subfolder of Deepstack as referenced at "
GPU pytorch compile options for older card - i.e. GT710" and with the
RuntimeError: CUDA error: no kernel image is available for execution on the device (
c:\Users\User\AppData\Local\DeepStack\logs\stderr.txt) it has me currently fixated on compiling as an solution...
Now just to get an idea on the compiling process.