[PlanetCCRMA] fc7 nvidia, madwifi; ntfs
pyrael
admin.covenantofblood at gmail.com
Thu Feb 7 14:39:15 PST 2008
Tracey Hytry wrote:
>
> If I understand it correctly; livna has prebuilt "kmod" kernel drivers
> for recent fedora kernels.
> I've never seen ones that are built for the ccrma realtime kernels on
> livna.
>
> I don't know if this would work, and if someone was so brave to try it
> would be pretty cool:
> - Find out what version of the nvidia driver from livna you are using, and
> download that version from nvidia.
> - Try telling it to build a kernel module for the rt kernel.
> ( I do something like
> sh NVIDIA-Linux-x86_64-169.09-pkg2.run -a -N -K
> --kernel-name=2.6.22.10-1.rt9.1.fc7.ccrmart
> as root, but I've only done this after installing the whole
> nvidia package and needed to build modules for
> all of the other kernels on fedora7 here)
>
> It's quite possible that the nvidia package from nvidia will refuse to
> build the kernel module because the glx libraries from livna are different
> then nvidia's, or nvidia leaves a marker somewhere telling it which
> version of itself is installed? This I really don't know?
>
> For myself, I do the whole nvidia build from the downloaded driver package
> from the nvidia site. Then I build the modules for the other currently
> non-running kernels as shown above. Every time there's a new xorg update
> I check and see if the xorg update has written over the glx-core libraries
> and reinstall the nvidia driver from scratch again, along with all of the
> kernel modules for the other kernels. At first this was a real pain, but
> now it goes pretty fast.
>
> I'm using a GeForce 7600GS at this time.
>
The nvidia driver doesn't refuse to build, what happens is the nvidia contol
applet has nothing in it. I have video, but no way of changing
bright/contrast/3d options etc.. I was able to get the livna package and
when I need 3d etc... I switch to that kernel. I was hoping that someone had
found a way to make the nvidia driver build completely (like the livna
package) against the ccrma kernel. I have not tried using the method you
posted above yet, but I will try it today and post back my results.
Thanks for the help
Py
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