nvidia-docker
nvidia-docker copied to clipboard
NVIDIA
Build and run Docker containers leveraging NVIDIA GPUs
Issue : AttributeError: module 'torch.cuda' has no attribute 'amp' Traceback (most recent call last): File "tools/train_net.py", line 15, in from maskrcnn_benchmark.data import make_data_loader File "/miniconda3/lib/python3.7/site-packages/maskrcnn_benchmark/data/__init__.py", line 2, in from .build...
### 1. Issue or feature description No support for installing drivers on Rocky Linux 8.4 [](https://github.com/dellhpc/omnia/issues/664) [#] (https://github.com/dellhpc/omnia/issues/664) ### 2. Steps to reproduce the issue [](https://nvidia.github.io/nvidia-docker/) - The repository does...
See discussions in #1253 and NVIDIA/nccl#324, CUDA IPCs cannot be established between docker containers with different GPU mount, which hurts NCCL performance in GPU cluster. Can nvidia-docker provides a capability...
## Summary I am running ROS GUI applications like RViz and Gazebo through a docker container on WSL2. The OpenGL renderer is not selecting my NVIDIA GTX 1050 card and...
Context: I come from https://docs.nvidia.com/datacenter/cloud-native/playground/dind.html. And I created https://github.com/Extrality/nvidia-dind. ### Issues The documentation at the above link is false and lacks information. 1. Mounting the docker socket is **NOT** Docker...
From the docker documentation we know that we can set gpu contraints relatively with which gpu device can be connected with a container. If we have only one gpu device...
### 1. Issue or feature description I use custom initrd.img to load in rootfs filesystem (overlay or aufs nevermind). My filesystem ``` Filesystem Size Used Avail Use% Mounted on overlay...
### 1. Issue or feature description Vulkan appears to be broken on Enterprise Linux 8.3 x86-64 hosts, it has worked for us before, not sure what changed or when. OpenGL...
It doesn't currently appear to be possible to compile CUDA code in a Jetson Container running on an x86 workstation. For example, if I go through [this example](https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-Container-Runtime-on-Jetson#building-jetson-containers-on-an-x86-workstation-using-qemu) but attempt...
I tried ``` export CUDA_VISIBLE_DEVICES=0 export CUDA_MPS_PIPE_DIRECTORY=/tmp/nvidia-mps export CUDA_MPS_LOG_DIRECTORY=/tmp/nvidia-log export CUDA_MPS_ACTIVE_THREAD_PERCENTAGE=50 nvidia-cuda-mps-control -d ``` in host machine and `docker run --rm -it -e NVIDIA_VISIBLE_DEVICES=0 -e CUDA_MPS_ACTIVE_THREAD_PERCENTAGE=50 --gpus=0 --runtime=nvidia --ipc=host 25859ecc2950...
