In some cases we might get a permission error trying to chmod -
most likely this is due to something beyond our control
like whole `/dev` being mounted.
Do not fail container creation in this case.
Due to loosing control of the program after `exec()`-ing `chmod(1)` program
and therefore not being able to handle errors -
refactor to use `chmod(2)` syscall instead of `exec()` `chmod(1)` program.
Fixes: #143
Signed-off-by: Ievgen Popovych <jmennius@gmail.com>
This change allows CDI devices to be requested as mounts in the
container. This enables their use in environments such as kind
where environment variables or annotations cannot be used.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
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>
This change adds a "required" option to the new toml config
that controls whether a default config is returned or not.
This is useful from the NVIDIA Container Runtime Hook, where
/run/driver/nvidia/etc/nvidia-container-runtime/config.toml
is checked before the standard path.
This fixes a bug where the default config was always applied
when this config was not used.
See https://github.com/NVIDIA/nvidia-container-toolkit/issues/106
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change renames the csv.library-search-path option to
library-search-path so as to be more generally applicable in
future. Note that the option is still only applied in csv mode.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This chagne simplifies the nvidia-ctk config default command.
By default it now outputs the default config to STDOUT, and can
optionally output this to file.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change introduced a config.Toml type that is used as the base for
config file processing and manipulation. This ensures that configs --
including commented values -- can be handled consistently.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change ensures that the Config structs from internal.Config
are used for the NVIDIA Container Runtime Hook config too.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change extends the nvidia-ctk runtime configure command
with a --config-mode=oci-hook that creates an OCI hook json file.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
If the config.toml has an empty root specified, this could be
passed to the NVIDIA Container CLI through the --root flag
which causes argument parsing to fail. This change only
adds the --root flag if the config option is specified
and is non-empty.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change ensures that the nvidia-ctk config default command
generates a config file that is compatible with the official documentation
to, for example, disable cgroups in the NVIDIA Container CLI.
This requires that whitespace around comments is stripped before outputing the
contets.
This also adds an option to load a config and modify it in-place instead. This can
be triggered as a post-install step, for example.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This changes splits the functionality in the internal system package
into two packages: one for dealing with devices and one for dealing
with kernel modules. This removes ambiguity around the meaning of
driver / device roots in each case.
In each case, a root can be specified where device nodes are created
or kernel modules loaded.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
This change adds a --create-device-nodes option to the
nvidia-ctk system create-dev-char-symlinks command to create
device nodes. The currently only creates control device nodes.
Signed-off-by: Evan Lezar <elezar@nvidia.com>
