Ubuntu 22.04执行sudo apt-get upgrade时因NVIDIA/CUDA驱动冲突崩溃的安全修复方案请求

设备信息 #

• 设备：HP Omen 15
• 系统：Linux Ubuntu 22.04
• 显卡：GeForce RTX 2070 Mobile/Max Q

问题说明 #

这个问题和类似报错的提问不一样，主要是驱动文件的重叠程度更高，而且我之前因为折腾显卡驱动差点搞坏设备，所以现在特别谨慎。

我尝试执行以下命令：

sudo apt-get update
sudo apt-get upgrade

但在执行upgrade命令时遇到了重复文件冲突错误，直接导致电脑崩溃，进入左上角带有闪烁白色下划线的黑屏状态，只能长按电源键重启。我查看了疑似冲突源所在的/var/cuda-repo-ubuntu2204-12-2-local/目录，发现大量NVIDIA/CUDA相关的deb包，但不知道哪些可以安全修改或保留来解决问题。

冲突目录下的文件列表 #

alex@alex-OMEN-Laptop-15-ek0xxx:/var/cuda-repo-ubuntu2204-12-2-local$ ls

216F19BD.pub
cuda_12.2.0-1_amd64.deb
cuda-12-2_12.2.0-1_amd64.deb
cuda-216F19BD-keyring.gpg
cuda-cccl-12-2_12.2.53-1_amd64.deb
cuda-command-line-tools-12-2_12.2.0-1_amd64.deb
cuda-compat-12-2_535.54.03-1_amd64.deb
cuda-compiler-12-2_12.2.0-1_amd64.deb
cuda-cudart-12-2_12.2.53-1_amd64.deb
cuda-cudart-dev-12-2_12.2.53-1_amd64.deb
cuda-cuobjdump-12-2_12.2.53-1_amd64.deb
cuda-cupti-12-2_12.2.60-1_amd64.deb
cuda-cupti-dev-12-2_12.2.60-1_amd64.deb
cuda-cuxxfilt-12-2_12.2.53-1_amd64.deb
cuda-demo-suite-12-2_12.2.53-1_amd64.deb
cuda-documentation-12-2_12.2.53-1_amd64.deb
cuda-driver-dev-12-2_12.2.53-1_amd64.deb
cuda-drivers-535_535.54.03-1_amd64.deb
cuda-drivers_535.54.03-1_amd64.deb
cuda-drivers-fabricmanager-535_535.54.03-1_amd64.deb
cuda-drivers-fabricmanager_535.54.03-1_amd64.deb
cuda-gdb-12-2_12.2.53-1_amd64.deb
cuda-gdb-src-12-2_12.2.53-1_amd64.deb
cuda-libraries-12-2_12.2.0-1_amd64.deb
cuda-libraries-dev-12-2_12.2.0-1_amd64.deb
cuda-minimal-build-12-2_12.2.0-1_amd64.deb
cuda-nsight-12-2_12.2.53-1_amd64.deb
cuda-nsight-compute-12-2_12.2.0-1_amd64.deb
cuda-nsight-systems-12-2_12.2.0-1_amd64.deb
cuda-nvcc-12-2_12.2.91-1_amd64.deb
cuda-nvdisasm-12-2_12.2.53-1_amd64.deb
cuda-nvml-dev-12-2_12.2.81-1_amd64.deb
cuda-nvprof-12-2_12.2.60-1_amd64.deb
cuda-nvprune-12-2_12.2.53-1_amd64.deb
cuda-nvrtc-12-2_12.2.91-1_amd64.deb
cuda-nvrtc-dev-12-2_12.2.91-1_amd64.deb
cuda-nvtx-12-2_12.2.53-1_amd64.deb
cuda-nvvp-12-2_12.2.60-1_amd64.deb
cuda-opencl-12-2_12.2.53-1_amd64.deb
cuda-opencl-dev-12-2_12.2.53-1_amd64.deb
cuda-profiler-api-12-2_12.2.53-1_amd64.deb
cuda-runtime-12-2_12.2.0-1_amd64.deb
cuda-sanitizer-12-2_12.2.53-1_amd64.deb
cuda-toolkit-12_12.2.0-1_amd64.deb
cuda-toolkit_12.2.0-1_amd64.deb
cuda-toolkit-12-2_12.2.0-1_amd64.deb
cuda-toolkit-12-2-config-common_12.2.53-1_all.deb
cuda-toolkit-12-config-common_12.2.53-1_all.deb
cuda-toolkit-config-common_12.2.53-1_all.deb
cuda-tools-12-2_12.2.0-1_amd64.deb
cuda-visual-tools-12-2_12.2.0-1_amd64.deb
gds-tools-12-2_1.7.0.149-1_amd64.deb
InRelease
libcublas-12-2_12.2.1.16-1_amd64.deb
libcublas-dev-12-2_12.2.1.16-1_amd64.deb
libcufft-12-2_11.0.8.15-1_amd64.deb
libcufft-dev-12-2_11.0.8.15-1_amd64.deb
libcufile-12-2_1.7.0.149-1_amd64.deb
libcufile-dev-12-2_1.7.0.149-1_amd64.deb
libcurand-12-2_10.3.3.53-1_amd64.deb
libcurand-dev-12-2_10.3.3.53-1_amd64.deb
libcusolver-12-2_11.5.0.53-1_amd64.deb
libcusolver-dev-12-2_11.5.0.53-1_amd64.deb
libcusparse-12-2_12.1.1.53-1_amd64.deb
libcusparse-dev-12-2_12.1.1.53-1_amd64.deb
libnpp-12-2_12.1.1.14-1_amd64.deb
libnpp-dev-12-2_12.1.1.14-1_amd64.deb
libnvidia-cfg1-430_535.54.03-0ubuntu1_amd64.deb
libnvidia-cfg1-535_535.54.03-0ubuntu1_amd64.deb
libnvidia-common-430_535.54.03-0ubuntu1_all.deb
libnvidia-common-535_535.54.03-0ubuntu1_all.deb
libnvidia-compute-430_535.54.03-0ubuntu1_amd64.deb
libnvidia-compute-430_535.54.03-0ubuntu1_i386.deb
libnvidia-compute-535_535.54.03-0ubuntu1_amd64.deb
libnvidia-compute-535_535.54.03-0ubuntu1_i386.deb
libnvidia-decode-430_535.54.03-0ubuntu1_amd64.deb
libnvidia-decode-430_535.54.03-0ubuntu1_i386.deb
libnvidia-decode-535_535.54.03-0ubuntu1_amd64.deb
libnvidia-decode-535_535.54.03-0ubuntu1_i386.deb
libnvidia-encode-430_535.54.03-0ubuntu1_amd64.deb
libnvidia-encode-430_535.54.03-0ubuntu1_i386.deb
libnvidia-encode-535_535.54.03-0ubuntu1_amd64.deb
libnvidia-encode-535_535.54.03-0ubuntu1_i386.deb
libnvidia-extra-535_535.54.03-0ubuntu1_amd64.deb
libnvidia-extra-535_535.54.03-0ubuntu1_i386.deb
libnvidia-fbc1-430_535.54.03-0ubuntu1_amd64.deb
libnvidia-fbc1-430_535.54.03-0ubuntu1_i386.deb
libnvidia-fbc1-535_535.54.03-0ubuntu1_amd64.deb
libnvidia-fbc1-535_535.54.03-0ubuntu1_i386.deb
libnvidia-gl-430_535.54.03-0ubuntu1_amd64.deb
libnvidia-gl-430_535.54.03-0ubuntu1_i386.deb
libnvidia-gl-535_535.54.03-0ubuntu1_amd64.deb
libnvidia-gl-535_535.54.03-0ubuntu1_i386.deb
libnvidia-nscq-535_535.54.03-1_amd64.deb
libnvjitlink-12-2_12.2.91-1_amd64.deb
libnvjitlink-dev-12-2_12.2.91-1_amd64.deb
libnvjpeg-12-2_12.1.1.14-1_amd64.deb
libnvjpeg-dev-12-2_12.1.1.14-1_amd64.deb
libxnvctrl0_535.54.03-0ubuntu1_amd64.deb
libxnvctrl-dev_535.54.03-0ubuntu1_amd64.deb
Local.md5
Local.md5.gpg
nsight-compute-2023.2.0_2023.2.3.1001-1_amd64.deb
nsight-systems-2023.2.3_2023.2.3.1001-1_amd64.deb
nvidia-compute-utils-430_535.54.03-0ubuntu1_amd64.deb
nvidia-compute-utils-535_535.54.03-0ubuntu1_amd64.deb
nvidia-dkms-430_535.54.03-0ubuntu1_amd64.deb
nvidia-dkms-535_535.54.03-0ubuntu1_amd64.deb
nvidia-driver-430_535.54.03-0ubuntu1_amd64.deb
nvidia-driver-535_535.54.03-0ubuntu1_amd64.deb
nvidia-fabricmanager-535_535.54.03-1_amd64.deb
nvidia-fabricmanager-dev-535_535.54.03-1_amd64.deb
nvidia-fs_2.16.1-1_amd64.deb
nvidia-fs-dkms_2.16.1-1_amd64.deb
nvidia-gds_12.2.0-1_amd64.deb
nvidia-gds-12-2_12.2.0-1_amd64.deb
nvidia-headless-430_535.54.03-0ubuntu1_amd64.deb
nvidia-headless-535_535.54.03-0ubuntu1_amd64.deb
nvidia-headless-no-dkms-430_535.54.03-0ubuntu1_amd64.deb
nvidia-headless-no-dkms-535_535.54.03-0ubuntu1_amd64.deb
nvidia-kernel-common-430_535.54.03-0ubuntu1_amd64.deb
nvidia-kernel-common-535_535.54.03-0ubuntu1_amd64.deb
nvidia-kernel-open-535_535.54.03-0ubuntu1_amd64.deb
nvidia-kernel-source-430_535.54.03-0ubuntu1_amd64.deb
nvidia-kernel-source-535_535.54.03-0ubuntu1_amd64.deb
nvidia-modprobe_535.54.03-0ubuntu1_amd64.deb
nvidia-settings_535.54.03-0ubuntu1_amd64.deb
nvidia-utils-430_535.54.03-0ubuntu1_amd64.deb
nvidia-utils-535_535.54.03-0ubuntu1_amd64.deb
Packages
Packages.gz
Release
Release.gpg
xserver-xorg-video-nvidia-430_535.54.03-0ubuntu1_amd64.deb
xserver-xorg-video-nvidia-535_535.54.03-0ubuntu1_amd64.deb

我的疑问 #

有没有什么安全的解决方案可以修复这个导致设备崩溃的问题？

另外我附上了崩溃瞬间终端的照片（画质抱歉，当时崩溃太快很难捕捉）：

备注：内容来源于stack exchange，提问作者CXX_NVCC