I have started to work with a JETSON TX2 board. It already had an OS installed in it when shipped and I began to install further libraries on top of it without flashing. I have thoroughly followed the instructions specified in the Jetpack 3.3 Installation Guide. In the component manager section I have set the “Flash OS Image to Target” to “no action” mode.
After that, in the board I have installed Tensorflow-gpu from the site as mentioned in the respective guide. But while trying to run python codes using tensorflow I got the error that “CUDA driver version is insufficient for CUDA runtime version”. I have attached the screenshots of the errors. The CUDA driver version in the JETSON TX2 board is 8.0 while it is supposed to be 9.0.
- Please mention any possibility of upgrading the CUDA driver version without reflashing the system.
- I have changed some versions of wheel while installing scikit-learn, can that affect the CUDA driver version?