Prepare gpg keys to install nvidia-docker: distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \ && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \ && curl -s -L https://nvidia....
Setting up NVIDIA Container Toolkit Setup thestablerepository and the GPG key: $distribution=$(. /etc/os-release;echo$ID$VERSION_ID)\&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey| sudo apt-key add -\&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nv...
Uninstall AI Workbench Use the following procedure to uninstall AI Workbench from your computer running Windows. Close the AI Workbench application if it is open. In a Windows command shell, run the following command. 1 wsl-dNVIDIA-Workbench-uroot -- /home/workbench/.nvwb/bin/nvwb-cli ...
to start the Triton Server, one window to execute a Python script and one to copy images to a directory for processing via the CLI. With Windows Terminal, you also have your choice of CLI experience, PowerShell, Command Prompt, Ubuntu-18.04 (if WSL-2 is i...
Finally, the two failing commands that tries to install the tensorflow-gpu=2.8.0 package can be executed successfully in a docker container started from the same WSL2 environment. The image is based on the nVidia base image: FROM nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04 The glibc and Cu...
to start the Triton Server, one window to execute a Python script and one to copy images to a directory for processing via the CLI. With Windows Terminal, you also have your choice of CLI experience, PowerShell, Command Prompt, Ubuntu-18.04 (if WSL-2 is ins...
CUDA toolkit installed on WSL, see: CUDA Support for WSL 2 Follow Enable NVIDIA CUDA on WSL to install the correct drivers and software. After everything is installed, start Windows PowerShell and run the following command to pull the GPU Docker image: docker pull deepmi/fastsurfer:latest Now...
FAILED: C:/Users/Filip/AppData/Local/Temp/pip-install-f_hqurw5/pytorch-fast-transformers/build/temp.win-amd64-3.8/Release/fast_transformers/hashing/hash_cuda.obj C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc -Xcompiler /MD -Xcompiler /wd4819 -Xcompiler /wd4251 -Xcompiler...
NATTEN does not come with Windows wheels yet, but you can build it from source. If you're using WSL, please follow the same steps as building for Linux below. If you're building with MSVC, please refer toBuild with MSVC. In order to build from source, please make sure that you have...