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Evan Lezar f63ad3d9e7 Refactor symlink filter
This change refactors the use of the symlink filter to make it extendible.
A blocked filter can be set on the Tegra CSV discoverer to ensure that the correct
symlink libraries are filtered out. Here, globs can be used to select mulitple libraries,
and a **/ prefix on the globs indicates that the pattern that follows is only applied to
the filename of the symlink entry in the CSV file.

A --csv.ignore-pattern command line argument is added to the nvidia-ctk cdi generate
command that allows this to be set.

Signed-off-by: Evan Lezar <elezar@nvidia.com>
2023-09-22 22:04:06 +02:00
.github/workflows Merge branch 'rorajani-rename-ci' into 'main' 2023-05-30 11:41:33 +00:00
build/container Set NVIDIA_VISIBLE_DEVICES=void in toolkit-container 2023-08-15 11:52:56 +02:00
cmd Refactor symlink filter 2023-09-22 22:04:06 +02:00
docker Remove installation of oci-nvidia-hook files in RPM packages 2023-08-11 16:34:58 +02:00
internal Refactor symlink filter 2023-09-22 22:04:06 +02:00
packaging Extend nvidia-ctk config command to allow options to be set 2023-08-14 11:33:26 +02:00
pkg Refactor symlink filter 2023-09-22 22:04:06 +02:00
scripts Publish generic deb and rpm repos. 2023-08-09 17:54:41 +02:00
test Remove NVIDIA experimental runtime from toolkit container 2023-07-10 11:44:55 +02:00
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NVIDIA Container Toolkit

GitHub license Documentation Package repository

nvidia-container-stack

Introduction

The NVIDIA Container Toolkit allows users to build and run GPU accelerated containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs.

Product documentation including an architecture overview, platform support, and installation and usage guides can be found in the documentation repository.

Getting Started

Make sure you have installed the NVIDIA driver for your Linux Distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed

For instructions on getting started with the NVIDIA Container Toolkit, refer to the installation guide.

Usage

The user guide provides information on the configuration and command line options available when running GPU containers with Docker.

Issues and Contributing

Checkout the Contributing document!