728x90 반응형 SMALL ubuntu11 wine32:i386 : Depends: libwine:i386 (= 5.0-3ubuntu1) but it is not going to be installed 해결 아래 세가지 순차 실행.또는 3번 실행시 dependency로 뜨는 라이브러리 복사해서 차례대로 install하면됨. 1. sudo apt-get install libavcodec58:i386 libavutil56:i3862. sudo apt-get install libfaudio0:i386 3. sudo apt-get install wine32:i386 2024. 10. 10. Ubuntu 18.04 Network Setting sudo vim /etc/default/grub #아래 내용 추가 GRUB_CMDLINE_LINUX="net.ifnames=0 biosdevname=0" update-grub2 sudo vim /etc/network/interfaces #아래 내용 추가 auto lo iface lo inet loopback #The primary network interface #dhcp(자동)인경우 auto eth0 iface eth0 inet static #static(고정)인경우 auto eth0 iface eth0 inet static address 10.10.10.123 netmask 255.255.255.0 gateway 10.10.10.1 dns-nameservers 8.8.8.8 service networ.. 2023. 7. 27. ModuleNotFoundError: No module named 'skimage' [Error] ModuleNotFoundError: No module named 'skimage' [Solution] pip install scikit-image 2023. 7. 20. NFS mount reboot 후에도 유지 [Solution] * sudo vim /etc/fstab * server_ip:server_path client_path nfs user ex) 192.168.1.2:/home/ /home/user/shared_folder nfs user 2023. 7. 3. REALTEK RTL88x2B USB Linux Driver https://github.com/RinCat/RTL88x2BU-Linux-Driver git clone https://github.com/RinCat/RTL88x2BU-Linux-Driver.git cd RTL88x2BU-Linux-Driver make clean sudo make sudo make install sudo insmod rtl88x2bu.ko reboot 후에도 모듈이 적재되려면 아래 참고. https://sim-deeplearning.tistory.com/52 2023. 6. 29. ModuleNotFoundError: No module named 'sacrebleu' [Error] ModuleNotFoundError: No module named 'sacrebleu' [Solution] pip install sacrebleu 2023. 6. 28. ModuleNotFoundError: No module named 'sklearn' [Error] ModuleNotFoundError: No module named 'sklearn' [Solution] conda install scikit-learn or pip install scikit-learn 2023. 6. 28. Load Modules on Reboot cp /home/(user)/lib/(module_name).ko /lib/modules/$(uname -r)/kernel/drivers/ echo "(module_name)" >> /etc/modules depmod -a insmod /lib/modules/$(uname -r)/kernel/drivers/(module_name).ko Reboot 후에도 module를 로딩하기 위해 위와 같이 작업한다. 위의 괄호는 제외하고 입력해야한다. 2023. 6. 27. Ubuntu18.04 Install Cuda, Cudnn 1. CUDA 설치 https://developer.nvidia.com/cuda-toolkit-archive CUDA Toolkit Archive Previous releases of the CUDA Toolkit, GPU Computing SDK, documentation and developer drivers can be found using the links below. Please select the release you want from the list below, and be sure to check www.nvidia.com/drivers for more recent production developer.nvidia.com 위 페이지에 들어가서 원하는 버전의 CUDA 선택한다. 필자는 11... 2023. 6. 27. 이전 1 2 다음 728x90 반응형 LIST
