Hello,
We have 4 x RTX 2080 Ti for computing and 1 x GeForce GT 1030 for running the display in one of our workstations.
At first, the GPU test failed with 0 Tensorflow GPU detected. After creating a link for libcusolver.so.10 in lib64 as mentioned above, the four 2080s are at least being detected with Tensorflow.
However, it seems like if all GPUs are not detected with Tensorflow, the tensorflow GPU test seems to fail.
Traceback (most recent call last):
File "cryosparc_worker/cryosparc_compute/run.py", line 93, in cryosparc_compute.run.main
File "/home/user/software/cryosparc/cryosparc2_worker/cryosparc_compute/jobs/instance_testing/run.py", line 161, in run_gpu_job
assert devs == total_gpus, f"Tensorflow detected {devs} of {total_gpus} GPUs."
AssertionError: Tensorflow detected 4 of 5 GPUs.
FWIW, cryoSPARC lists only the 4 computing GPUs in the processing lane. It’d be great to be able to run the test just with the Tensorflow GPUs or skip the Tensorflow test for GPU(s) without Tensorflow capabilities.
Best,
Kookjoo