You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
thanks for ur excellent codes and open source spirit.
Enviroment Info
gpu-manager version: built on master
vcuda version: built on master
nvidia driver: 470.199.02 or 470.42.01 or 460.106.00
cpu : aarch64
gpu: Tesla T4
details
these days i get "invalid device context" or "segmentation fault" problems in my aarch64 machine.
when every app init ,it reports 5 functions not found
when i use CUDA samples
when use pytorch demo
when change to 460.x driver. it reports segmentation fault
but, it will works if i give whole gpu rates to one pod(set vcore=100)
the last, it does well in x86 machine (same 470.x driver and T4 gpu card) at the same time.
so, are there any diffrences between aarch64 driver and x86 drivers?
can any gentleman give advice on this?
need ur help
The text was updated successfully, but these errors were encountered:
thanks for ur excellent codes and open source spirit.
Enviroment Info
gpu-manager version: built on master
vcuda version: built on master
nvidia driver: 470.199.02 or 470.42.01 or 460.106.00
cpu : aarch64
gpu: Tesla T4
details
these days i get "invalid device context" or "segmentation fault" problems in my aarch64 machine.
when every app init ,it reports 5 functions not found
when i use CUDA samples
when use pytorch demo
when change to 460.x driver. it reports segmentation fault
but, it will works if i give whole gpu rates to one pod(set vcore=100)
the last, it does well in x86 machine (same 470.x driver and T4 gpu card) at the same time.
so, are there any diffrences between aarch64 driver and x86 drivers?
can any gentleman give advice on this?
need ur help
The text was updated successfully, but these errors were encountered: