This change adds an nvidia-container-runtime.modes.legacy.cuda-compat-mode
config option. This can be set to one of four values:
* ldconfig (default): the --cuda-compat-mode=ldconfig flag is passed to the nvidia-container-cli
* mount: the --cuda-compat-mode=mount flag is passed to the nvidia-conainer-cli
* disabled: the --cuda-compat-mode=disabled flag is passed to the nvidia-container-cli
* hook: the --cuda-compat-mode=disabled flag is passed to the nvidia-container-cli AND the
enable-cuda-compat hook is used to provide forward compatibility.
Note that the disable-cuda-compat-lib-hook feature flag will prevent the enable-cuda-compat
hook from being used. This change also means that the allow-cuda-compat-libs-from-container
feature flag no longer has any effect.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change adds the enable-cuda-compat hook to the incomming OCI runtime spec
if the allow-cuda-compat-libs-from-container feature flag is not enabled.
An update-ldcache hook is also injected to ensure that the required folders
are processed.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change REMOVES the ability to set opt-in features
(e.g. GDS, MOFED, GDRCOPY) in the config file. The existing
per-container envvars are unaffected.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This changes skips the injection of the nvidia-persistenced socket by
default.
An include-persistenced-socket feature flag is added to allow the
injection of this socket to be explicitly requested.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change adds a features config that allows
individual features to be toggled at a global level. Each feature can (by default)
be controlled by an environment variable.
The GDS, MOFED, NVSWITCH, and GDRCOPY features are examples of such features.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change adds support for an NVIDIA_NVSWITCH environment variable.
When set to `enabled` this striggers the injection of all available
/dev/nvidia-nvswitch* device nodes.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
