Hi
I have the following setup:
RTX 2080Ti, CUDA 10, compiled pytorch from source libcudnn7 Ubuntu 18.04
Now everything is absolutely fine with this. But, as soon as I swap my card with a GTX  1070 Ti
it fails. Same machine only different GPU:
THCudaCheck FAIL file=/home/geir/src/pytorch/aten/src/THC/generic/THCTensorMath.cu line=240 error=48 : no kernel image is available for execution on the device
terminate called after throwing an instance of 'std::runtime_error'
  what():  cuda runtime error (48) : no kernel image is available for execution on the device at /home/geir/src/pytorch/aten/src/THC/generic/THCTensorMath.cu:240
Aborted (core dumped)

Does this mean 1070 Ti is not supported on latest pytorch source? Should I have used some other settings while compiling the pytorch source?
Sorry if this is a stupid question, but I am not a CUDA/PyTorch guy, I only try to integrate some software modules.