1. 解释"module nvidia_uvm is in use"的含义 "module nvidia_uvm is in use" 这句话通常出现在使用NVIDIA GPU进行并行计算或深度学习时,特别是在使用CUDA或类似框架时。NVIDIA UVM(Unified Virtual Memory)是NVIDIA的一种内存管理技术,它允许GPU和CPU共享同一个虚拟内存空间,从而简化内存管理并提高数据访问效率。
root@iZk1aev4bo0xd7wt3u04lrZ:~# sudo rmmod nvidia_uvm && sudo modprobe nvidia_uvm rmmod: ERROR: Module nvidia_uvm is in use 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 这个错误信息表示nvidia_uvm内核模块当前正在使用中,因此不能被卸载 (rmmod)。nvidia_uvm是 NVIDIA Unified Memory...
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x11-drivers/nvidia-drivers-358.09 USE="X acpi gtk2 gtk3 kms multilib tools -pax_kernel -uvm" x11-misc/bumblebee-3.2.1 In Gentoo I can work around this problem by disabling thekmsUSE flag. This workaround, however, is likely not applicable in other distros. ...
sudo rmmod nvidia_drm sudo rmmod nvidia_modeset sudo rmmod nvidia_uvm 之后再卸载nvidia sudo rmmod nvidia 如果遇到报错 rmmod: ERROR: Module nvidia is in use,这表明内核模块正在使用中,应该杀死这些正在使用kmods的进程,然后继续卸载 kmods。 sudo lsof /dev/nvidia* ...
问调制解调器:致命:模块nvidia-uvm在目录/lib/ Module /中找不到EN在计算机程序的开发过程中，随着程序...
I also encountered the same problem. The reason for the error was that I accidentally selected "Install nvidia driver" during the installation of cuda. So, during the installation of CUDA, when you encounter the following options: Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81...
(OE) nvidia_drm(POE) nvidia_modeset(POE) nvidia_uvm(OE) nvidia(POE) amd64_edac_mod edac_mce_amd kvm_amd kvm irqbypass crc32_pclmul ghash_clmulni_intel vfat fat aesni_intel lrw gf128mul [2712745.419366] glue_helper ablk_helper cryptd ses pcspkr enclosure joydev sg k10temp ccp hpwdt...
[385135.543424] Modules linked in: binfmt_misc nfsv3 nfs_acl nfs lockd grace fscache 8021q garp mrp stp llc ip6table_filter ip6_tables iptable_filter bonding sunrpc ext4 mbcache jbd2 nvidia_drm(POE) nvidia_modes et(POE) nvidia_uvm(OE) nvidia(POE) iTCO_wdt iTCO_vendor_support snd_...
For the nvidia-modeset.ko kernel module, this component is named "nv-modeset-kernel.o_binary". Neither nvidia-drm.ko nor nvidia-uvm.ko have OS-agnostic components.The kernel interface layer component for each kernel module must be built for the target kernel....