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6.18: Fix compilation error and upgrade Nvidia OpenGPU version on Fedora 43 #73
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… for Fedora 43, also fix the compilation on Nvidia OpenGPU and Clang Thin-LTO
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I think thin-dist will not provide a real benefit |
Actually I just found thin-dist appear in the CachyOS kernel patch so I open it ) |
Oh I got it, thanks for your guide! Should I reopen the PR and remove unnessary commit info? |
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Just force-push your branch. |
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But to be honest: simply adding autofdo/propeller without adding profiles will cause regression. Fedora cannot use profiles from CachyOS because of incompatibility between environments/libraries. Therefore, it is pointless unless appropriate profiles are created specifically for Fedora. |
…E and PROPELLER" This reverts commit 1ecac6d. revert: not enable Clang PROPELLER and AutoFDO
This reverts commit aec19d4. revert: not use Clang ThinLTO_DIST
… version for Fedora 43, also fix the compilation on Nvidia OpenGPU and Clang Thin-LTO" This reverts commit c8f24e8. revert: will delete unnecessary code
…n error on 6.18 with Nvidia OpenGPU driver
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OK, I have reset my patch and add the necessary patches only, but I have a problem that I don't test which Nvidia OpenGPU 580.95.05 driver could apply these patches, I only test on 580.105.08 and which works ) |
1: I meet compiling error while compiling Nvidia OpenGPU driver 580.105.08, and I also found Nvidia OpenGPU version has upgraded to 580.105.08, so open this PR to fix the problem.
2: I found if enable Clang ThinLTO, which might use "CONFIG_LTO_CLANG_THIN" not "LTO_CLANG_THIN"
3: I also found CachyOS kernel team has created a option called "CONFIG_LTO_CLANG_THIN_DIST", so I enable it on the second commit
4: I can make sure that these changes could work because I have succeeded on my COPR REPO with CachyOS v2,v3,v4 kernel even with Clang Full-LTO enabled: https://copr.fedorainfracloud.org/coprs/mozixun and my full modify repo is at: https://github.com/LFRon/Fedora-CachyOS-Patch-Kernel
Could developer merge them with modify so Fedora users could enjoy the CachyOS kernel with best performance and experience? Thanks🌹