Web28 jul. 2024 · The CUDA version refer to which one? Runtime version or Driver version？ As we know use nvidia-smi and which nvcc may show different version of CUDA. Which cmd should I use? Thanks a lot! By the way, TensorRT7.0/demo/BERT is empty, expect the example of the TensorRT7.0 in BERT. Web14 apr. 2024 · Synchronize across blocks between each stage of the binary tree with the CUDA cooperative grids synchronize method. Continue the binary-tree reduction pattern. At the end, the result will be stored where T_ {i0}v_0 originally was. Here is the kernel code and the host code that calls it.
Nvidia-smi showing different cuda version after installation
Web12 aug. 2024 · When installing the operator on nodes that already have a driver installed the CUDA version labels attached to the node do not match the installed CUDA version. I have driver 495.46 and CUDA 11.5 installed on my workstation but the labels show CUDA 11.6. 2. Steps to reproduce the issue. Create cluster with driver 495.46 installed on nodes. Web8 apr. 2024 · To check CUDA version use the nvidia-smi command: Finally you can query the /usr/lib/cuda/version.txt or /usr/local/cuda/version.txt as follows using the cat command to display the NVIDIA cuda version: cat /usr/lib/cuda/version.txt How to get the CUDA version Let us see all commands in details. hello mellow pajamas
Nvidia-smi shows CUDA version, but CUDA is not installed
WebI installed CUDA 11.3 at first, then realized that Tensorflow doesn't support CUDA 11.3, so I uninstalled CUDA 11.3 and installed CUDA 10.1. When I use nvcc --version, I get CUDA 10.1 which is correct, but when I use nvidia-smi I get CUDA 11.3 which is wrong, I check the components in NVIDIA control panel and it shows NVIDIACUDA 11.3 under … Web‣ All the measurement is done on the highest video clocks as reported by nvidia-smi (i.e. 1129 MHz, 1683 MHz, 1755 MHz for M2000, P2000 and RTX8000 respectively). The performance should scale according to the video clocks as reported by nvidia-smi for other GPUs of every individual family. Web@LuZeking In your xorg file, the NVIDIA device is Device1.Try changing it to Device0 or, better yet, export DISPLAY=:1.0. Thanks for your kind reply:)! But I am a bit confused here due to my lack of experience with this kind of setting. Here I have 2 GPUs, as shown above in 2 xorg files, one was set as Identifier Device0 and another was set as Identifier … hello melon