나의 Laptop 모델사양 재확인
드디어 아래의 문서를 찾았으며, 아래의 문서대로 하면, WIFI Driver가 동작되는 것을 확인하였다.
특히한것은 ETCHER를 이용하여, 그대로 사용했는데 RUFUS를 이용 안해도 되는것 같다.
궁금한것은 RUFUS의 역할이 정확하게 뭐하는지 좀 애매한 것같다.
EFI Partition을 만들어주는 역할이 추가 된 것로 생각 하면 될 것 같다.
- Lenovo Y530 Ubuntu Install Guide
https://forums.lenovo.com/t5/Gaming-Laptops-Knowledge-Base/Installing-Ubuntu-on-the-Legion-Y530/ta-p/4187251
https://github.com/kfechter/LegionY530Ubuntu
https://github.com/kfechter/LegionY530Ubuntu/blob/master/Sections/Troubleshooting.md
이전 Ubuntu 와 Window 설치 문제사항
https://ahyuo79.blogspot.com/2019/09/lenovo-laptop-ubuntu.html
처음 ETCHER or Win32DiskImager를 이용하려 했었지만, RUFUS의 독특한 설정으로 (GPT/MBR 설정, BIOS설정)으로 RUFUS를 사용하게되었다.
결론은 BIOS-> Legacy로 USB Boot를 하면, Rufus까지는 불필요한 것으로 보인다. 물론 사용하면 좋지만, ETHER로만으로 충분한 것 같다.
처음 ETCHER or Win32DiskImager를 이용하려 했었지만, RUFUS의 독특한 설정으로 (GPT/MBR 설정, BIOS설정)으로 RUFUS를 사용하게되었다.
결론은 BIOS-> Legacy로 USB Boot를 하면, Rufus까지는 불필요한 것으로 보인다. 물론 사용하면 좋지만, ETHER로만으로 충분한 것 같다.
상위 Install Guide의 파란화면은 WINDOW 10의 Recovery Mode의 설정이며, 관련부분은 별도 설정을 하지 않았다.
이 궁금증은 나중에 보도록하고 설치를 진행하자
1.1 상위 Y530 설치가이드 대로 진행
세부 그림 및 설정 사항은 상위 Y530 Ubuntu Install Guide를 보면 될 것 같다.
이 궁금증은 나중에 보도록하고 설치를 진행하자
세부 그림 및 설정 사항은 상위 Y530 Ubuntu Install Guide를 보면 될 것 같다.
- Ubuntu 18.04 설치 진행 (WIFI 동작확인)
- Ubuntu USB Boot가능한 Flash 생성 후 Lenovo USB에 연결
- 부팅후 F2를 눌러 BIOS 모드로 진입
- BIOS->BOOT 를 Legacy Mode로 변경
- BIOS->BOOT의 EFI 와 Legacy 부분의 USB 우선순위 맨 위로 변경 저장후 재부팅
- USB 우선순위는 F10을 눌러 BOOT Manager 에서 순서변경가능
- UBUNTU의 GRUB 실행시 try ubuntu without installing 실행
- UBUNTU가 실행 제대로 되면, Open Terminal 생성 후 아래의 Command WIFI 동작
- sudo rmmod ideapad_laptop ( WIFI 동작가능)
- UBUNTU의 맨 왼쪽 아이콘에서 Ubuntu Install 진행하여 Ubuntu 18.04 설치진행
- 설치진행완료 후 아래와 같이 부팅시마다 ideapad_laptop 모듈을 미동작하도록 수정
- sudo gedit /etc/modprob.d/blacklist.conf (WIFI 동작 )
- sudo update/ upgrade
- Reboot 후 GRUB에서 e를 눌러 Kernel Parameter에 quiet splash nouveau.modeset=0 추가 (NVIDIA Driver설치 후 필요없다고함)
- GRUB에서 수정된 Parameter 값으로 부팅 F10진행
nouveau 관련내용 이해 , 설명이 잘되어 있음
https://blog.neonkid.xyz/66
WIFI 미동작원인은 두개의 Driver가 동작되어 충돌되어 미동작되는 것이며, 이 모듈을 매번제거하면 해결 (ideapad_laptop)
- WIFI 미동작 관련 부분
$ sudo rmmod ideapad_laptop // WIFI Driver 동작확인
$ sudo gedit /etc/modprobe.d/blacklist.conf
........
blacklist ideapad_laptop
매번 rmmod로 제거 할 수 없으니 Kernel Module Load하는 부분에서 완전히 제거
- 크롬설치진행 및 필요사항 설치
$ wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
$ sudo sh -c 'echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google.list'
$ sudo apt-get update
//크롬 설치
$ sudo apt-get install google-chrome-stable
$ sudo rm -rf /etc/apt/sources.list.d/google.list
Ubuntu 기반의 개발환경 구성 https://ahyuo79.blogspot.com/2019/01/ubuntu.html
https://ahyuo79.blogspot.com/2018/05/ubuntu-1604-lts-version.html
Ubuntu 18.04 설치관련 정보 (NVIDIA 관련사항)
https://eungbean.github.io/2018/08/08/Ubuntu-Installation1/
NVIDIA Driver를 설치전에는 Setting 부분이 그래픽카드문제로 동작되지 않는다.
그리고, 자주 사용하는 screenshot 과
1.2 NVIDIA RTX-2060 Driver 설치진행
자료출처
https://hiseon.me/linux/ubuntu/install_nvidia_driver/
상위에서 쉽게 설명을 해주어서 내 RTX-2060도 쉽게 설치했지만 더 쉽게 그냥 3줄로 설치 가능할 것 같다
https://www.nvidia.com/Download/index.aspx?lang=en-us
RTX-2060(Notebook) 최신 Version 430 확인
https://www.nvidia.com/Download/driverResults.aspx/149138/en-us
Version 418의 RTX 2060 상위 1f11 과 동일 확인
https://download.nvidia.com/XFree86/Linux-x86_64/418.43/README/supportedchips.html
(참고만 하고 추후 업데이트되면 다시 테스트 진행)
prime-select 관련내용
https://github.com/wildtruc/nvidia-prime-select
https://www.intel.co.kr/content/www/kr/ko/support/articles/000025673/graphics-drivers.html
https://www.reddit.com/r/Ubuntu/comments/b761of/nvidia_2060_rtx/
https://launchpad.net/~graphics-drivers/+archive/ubuntu/ppa
https://www.linuxbabe.com/ubuntu/install-nvidia-driver-ubuntu-18-04
1.3 Laptop WIFI/Bluetooth/ UVC 테스트
Laptop의 아래의 테스트만 이제 하면 얼추 다 테스트가 되는 것 같다
상위 항목들을 다 테스트를 진행을 했으니, 얼추 Laptop의 동작이 제대로 되는 것 같다.
드디어 제대로 된 설치가 된것 같으나, ACPI 부분이 좀 문제가 있어서, Battery 부분정보가 95%로 나옴 ( Window는 100%로 표시)
일단 기본동작 및 기본 HW 테스트 동작을 확인하였으나, mini Displayport 부분은 케이블과 모니터가 없기에 테스트 하지 못했지만, 상위 NVIDIA Driver에서 지원가능확인
1.4 Gparted 사용 후 Partition 정리
Gparted를 이용하여 Partition 관리부분으로 Ubuntu 설치가 다 된 후에 별도로 Parition들을 추가하여 만들어 각각의 관리하기 위해서 아래와 같이 정리
일반부팅을 해서 Gparted를 이용하여 Partition을 생성하면 아래와 같이 Partition을 수정 및 생성하면 Pending이 되고 진행되지 않는다.
왼쪽 아래 계속 Pending이 되고 진행이되지 않으며, 반드시 Edit->Apply All operations 실행해야진행된다.
1GB NVMe
Ubuntu 18.04 설치관련 정보 (NVIDIA 관련사항)
https://eungbean.github.io/2018/08/08/Ubuntu-Installation1/
NVIDIA Driver를 설치전에는 Setting 부분이 그래픽카드문제로 동작되지 않는다.
그리고, 자주 사용하는 screenshot 과
1.2 NVIDIA RTX-2060 Driver 설치진행
자료출처
https://hiseon.me/linux/ubuntu/install_nvidia_driver/
상위에서 쉽게 설명을 해주어서 내 RTX-2060도 쉽게 설치했지만 더 쉽게 그냥 3줄로 설치 가능할 것 같다
- NVIDIA DRIVER 설치준비
$ cat /proc/driver/nvidia/version cat: /proc/driver/nvidia/version: No such file or directory $ lspci -k ... 01:00.0 VGA compatible controller: NVIDIA Corporation Device 1f11 (rev a1) Subsystem: Lenovo Device 3ffd Kernel driver in use: nouveau Kernel modules: nvidiafb, nouveau ... $ release="ubuntu"$(lsb_release -sr | sed -e "s/\.//g") $ echo $release ubuntu1804 $ sudo apt install sudo gnupg $ sudo apt-key adv --fetch-keys "http://developer.download.nvidia.com/compute/cuda/repos/"$release"/x86_64/7fa2af80.pub" $ sudo sh -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/'$release'/x86_64 /" > /etc/apt/sources.list.d/nvidia-cuda.list' $ sudo sh -c 'echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/'$release'/x86_64 /" > /etc/apt/sources.list.d/nvidia-machine-learning.list' $ sudo apt update $ apt-cache search nvidia // NSIGHT 부터 CUDA nvvp 와 cuda-visual-tools 도 설치 가능 dmraid - Device-Mapper Software RAID support tool libvdpau-dev - Video Decode and Presentation API for Unix (development files) libvdpau-doc - Video Decode and Presentation API for Unix (documentation) libvdpau1 - Video Decode and Presentation API for Unix (libraries) libvdpau1-dbg - Video Decode and Presentation API for Unix (debug symbols) libxnvctrl-dev - NV-CONTROL X extension (development files) libxnvctrl0 - NV-CONTROL X extension (runtime library) nvidia-prime - Tools to enable NVIDIA's Prime nvidia-settings - Tool for configuring the NVIDIA graphics driver ubuntu-drivers-common - Detect and install additional Ubuntu driver packages vdpau-driver-all - Video Decode and Presentation API for Unix (driver metapackage) xserver-xorg-video-nouveau - X.Org X server -- Nouveau display driver libcuda1-340 - NVIDIA CUDA runtime library libnvidia-cfg1-390 - NVIDIA binary OpenGL/GLX configuration library libnvidia-common-390 - Shared files used by the NVIDIA libraries libnvidia-compute-390 - NVIDIA libcompute package libnvidia-decode-390 - NVIDIA Video Decoding runtime libraries libnvidia-encode-390 - NVENC Video Encoding runtime library libnvidia-fbc1-390 - NVIDIA OpenGL-based Framebuffer Capture runtime library libnvidia-gl-390 - NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD libnvidia-ifr1-390 - NVIDIA OpenGL-based Inband Frame Readback runtime library nvidia-331 - Transitional package for nvidia-331 nvidia-331-dev - Transitional package for nvidia-340-dev nvidia-331-updates - Transitional package for nvidia-340 nvidia-331-updates-dev - Transitional package for nvidia-340-dev nvidia-331-updates-uvm - Transitional package for nvidia-340 nvidia-331-uvm - Transitional package for nvidia-340 nvidia-340-dev - NVIDIA binary Xorg driver development files nvidia-340-updates - Transitional package for nvidia-340 nvidia-340-updates-dev - Transitional package for nvidia-340-dev nvidia-340-updates-uvm - Transitional package for nvidia-340-updates nvidia-340-uvm - Transitional package for nvidia-340 nvidia-346 - Transitional package for nvidia-346 nvidia-346-dev - Transitional package for nvidia-352-dev nvidia-346-updates - Transitional package for nvidia-346-updates nvidia-346-updates-dev - Transitional package for nvidia-352-updates-dev nvidia-352 - Transitional package for nvidia-361 nvidia-352-dev - Transitional package for nvidia-361-dev nvidia-352-updates - Transitional package for nvidia-361 nvidia-352-updates-dev - Transitional package for nvidia-361-dev nvidia-361 - Transitional package for nvidia-367 nvidia-361-dev - Transitional package for nvidia-367-dev nvidia-361-updates - Transitional package for nvidia-361 nvidia-361-updates-dev - Transitional package for nvidia-361-dev nvidia-367 - Transitional package for nvidia-375 nvidia-367-dev - Transitional package for nvidia-375-dev nvidia-375 - Transitional package for nvidia-384 nvidia-375-dev - Transitional package for nvidia-384-dev nvidia-compute-utils-390 - NVIDIA compute utilities nvidia-dkms-390 - NVIDIA DKMS package nvidia-driver-390 - NVIDIA driver metapackage nvidia-headless-390 - NVIDIA headless metapackage nvidia-headless-no-dkms-390 - NVIDIA headless metapackage - no DKMS nvidia-kernel-common-390 - Shared files used with the kernel module nvidia-kernel-source-390 - NVIDIA kernel source package nvidia-opencl-icd-340 - NVIDIA OpenCL ICD nvidia-utils-390 - NVIDIA driver support binaries xserver-xorg-video-nvidia-390 - NVIDIA binary Xorg driver bbswitch-dkms - Interface for toggling the power on NVIDIA Optimus video cards boinc-client-nvidia-cuda - metapackage for CUDA-savvy BOINC client and manager bumblebee - NVIDIA Optimus support for Linux bumblebee-nvidia - NVIDIA Optimus support using the proprietary NVIDIA driver conky-all - highly configurable system monitor (all features enabled) conky-all-dbg - highly configurable system monitor (all features enabled - debug) cpufreqd - fully configurable daemon for dynamic frequency and voltage scaling flashrom - Identify, read, write, erase, and verify BIOS/ROM/flash chips gcc-7-offload-nvptx - GCC offloading compiler to NVPTX gcc-8-offload-nvptx - GCC offloading compiler to NVPTX gcc-offload-nvptx - GCC offloading compiler to NVPTX gimp-normalmap - Normal map plugin for GIMP hobbit-plugins - plugins for the Xymon network monitor kubuntu-driver-manager - Driver Manager for Kubuntu kubuntu-driver-manager-dbg - Driver Manager for Kubuntu -- debug symbols libgomp-plugin-nvptx1 - GCC OpenMP v4.5 plugin for offloading to NVPTX libnvtt-bin - NVIDIA Texture Tools (Binaries) libnvtt-dev - NVIDIA Texture Tools (Header) libnvtt2 - NVIDIA Texture Tools mate-optimus - MATE Desktop applet for controlling NVIDIA Optimus graphics cards mate-sensors-applet - Display readings from hardware sensors in your MATE panel mate-sensors-applet-nvidia - Display readings from hardware sensors in your MATE panel (NVIDIA sensors) numba-doc - native machine code compiler for Python (docs) nvidia-common - transitional package for ubuntu-drivers-common nvtv - tool to control TV chips on NVidia cards under Linux primus - client-side GPU offloading for NVIDIA Optimus psensor - display graphs for monitoring hardware temperature psensor-server - Psensor server for monitoring hardware sensors remotely pyrit - GPGPU-driven WPA/WPA2-PSK key cracker pyrit-opencl - OpenCL extension module for Pyrit python-numba - native machine code compiler for Python 2 python3-numba - native machine code compiler for Python 3 sensors-applet - Display readings from hardware sensors in your Gnome panel sysinfo - display computer and system information vc-dev - Library to ease explicit vectorization of C++ code vdpauinfo - Video Decode and Presentation API for Unix (vdpauinfo utility) hashcat-nvidia - Installs hashcat and its dependencies for users with NVIDIA GPU libaccinj64-9.1 - NVIDIA ACCINJ Library (64-bit) libcg - Nvidia Cg core runtime library libcggl - Nvidia Cg Opengl runtime library libcublas9.1 - NVIDIA cuBLAS Library libcudart9.1 - NVIDIA CUDA Runtime Library libcufft9.1 - NVIDIA cuFFT Library libcufftw9.1 - NVIDIA cuFFTW Library libcuinj64-9.1 - NVIDIA CUINJ Library (64-bit) libcupti-dev - NVIDIA CUDA Profiler Tools Interface development files libcupti-doc - NVIDIA CUDA Profiler Tools Interface documentation libcupti9.1 - NVIDIA CUDA Profiler Tools Interface runtime library libcurand9.1 - NVIDIA cuRAND Library libcusolver9.1 - NVIDIA cuSOLVER Library libcusparse9.1 - NVIDIA cuSPARSE Library libnppc9.1 - NVIDIA Performance Primitives core runtime library libnppial9.1 - NVIDIA Performance Primitives lib for Image Arithmetic and Logic libnppicc9.1 - NVIDIA Performance Primitives lib for Image Color Conversion libnppicom9.1 - NVIDIA Performance Primitives lib for Image Compression libnppidei9.1 - NVIDIA Performance Primitives lib for Image Data Exchange and Initialization libnppif9.1 - NVIDIA Performance Primitives lib for Image Filters libnppig9.1 - NVIDIA Performance Primitives lib for Image Geometry transforms libnppim9.1 - NVIDIA Performance Primitives lib for Image Morphological operations libnppist9.1 - NVIDIA Performance Primitives lib for Image Statistics libnppisu9.1 - NVIDIA Performance Primitives lib for Image Support libnppitc9.1 - NVIDIA Performance Primitives lib for Image Threshold and Compare libnpps9.1 - NVIDIA Performance Primitives for signal processing runtime library libnvblas9.1 - NVBLAS runtime library libnvgraph9.1 - NVIDIA Graph Analytics library (nvGRAPH) libnvrtc9.1 - CUDA Runtime Compilation (NVIDIA NVRTC Library) libnvtoolsext1 - NVIDIA Tools Extension Library libnvvm3 - NVIDIA NVVM Library nouveau-firmware - Firmware for nVidia graphics cards nvidia-cg-dev - Cg Toolkit - GPU Shader Authoring Language (headers) nvidia-cg-doc - Cg Toolkit - GPU Shader Authoring Language (documentation) nvidia-cg-toolkit - Cg Toolkit - GPU Shader Authoring Language nvidia-cuda-dev - NVIDIA CUDA development files nvidia-cuda-doc - NVIDIA CUDA and OpenCL documentation nvidia-cuda-gdb - NVIDIA CUDA Debugger (GDB) nvidia-cuda-toolkit - NVIDIA CUDA development toolkit nvidia-libopencl1-331 - Transitional package for nvidia-libopencl1-340 nvidia-libopencl1-331-updates - Transitional package for nvidia-libopencl1-340 nvidia-libopencl1-340 - NVIDIA OpenCL Driver and ICD Loader library nvidia-libopencl1-340-updates - Transitional package for nvidia-libopencl1-340 nvidia-libopencl1-346 - Transitional package for nvidia-libopencl1-352 nvidia-libopencl1-346-updates - Transitional package for nvidia-libopencl1-352-updates nvidia-libopencl1-352 - Transitional package for nvidia-libopencl1-361 nvidia-libopencl1-352-updates - Transitional package for nvidia-libopencl1-361 nvidia-libopencl1-361 - Transitional package for nvidia-libopencl1-367 nvidia-libopencl1-361-updates - Transitional package for nvidia-libopencl1-361 nvidia-libopencl1-367 - Transitional package for nvidia-libopencl1-375 nvidia-libopencl1-375 - Transitional package for nvidia-libopencl1-384 nvidia-modprobe - utility to load NVIDIA kernel modules and create device nodes nvidia-nsight - NVIDIA Nsight Eclipse Edition nvidia-opencl-dev - NVIDIA OpenCL development files nvidia-opencl-icd-331 - Transitional package for nvidia-opencl-icd-340 nvidia-opencl-icd-331-updates - Transitional package for nvidia-opencl-icd-340 nvidia-opencl-icd-340-updates - Transitional package for nvidia-opencl-icd-340 nvidia-opencl-icd-346 - Transitional package for nvidia-opencl-icd-352 nvidia-opencl-icd-346-updates - Transitional package for nvidia-opencl-icd-352-updates nvidia-opencl-icd-352 - Transitional package for nvidia-opencl-icd-361 nvidia-opencl-icd-352-updates - Transitional package for nvidia-opencl-icd-361 nvidia-opencl-icd-361 - Transitional package for nvidia-opencl-icd-367 nvidia-opencl-icd-361-updates - Transitional package for nvidia-opencl-icd-361 nvidia-opencl-icd-367 - Transitional package for nvidia-opencl-icd-375 nvidia-opencl-icd-375 - Transitional package for nvidia-opencl-icd-384 nvidia-profiler - NVIDIA Profiler for CUDA and OpenCL nvidia-visual-profiler - NVIDIA Visual Profiler for CUDA and OpenCL python-pycuda - Python module to access Nvidia‘s CUDA parallel computation API python-pycuda-dbg - Python module to access Nvidia‘s CUDA API (debug extensions) python-pycuda-doc - module to access Nvidia‘s CUDA computation API (documentation) python3-pycuda - Python 3 module to access Nvidia‘s CUDA parallel computation API python3-pycuda-dbg - Python 3 module to access Nvidia‘s CUDA API (debug extensions) tegrarcm - Tool to upload payloads in Tegra SoC recovery mode xserver-xorg-video-nouveau-hwe-18.04 - X.Org X server -- Nouveau display driver libnvidia-cfg1-418 - Transitional package for libnvidia-cfg1-430 libnvidia-cfg1-430 - NVIDIA binary OpenGL/GLX configuration library libnvidia-common-418 - Transitional package for libnvidia-common-430 libnvidia-common-430 - Shared files used by the NVIDIA libraries libnvidia-compute-418 - Transitional package for libnvidia-compute-430 libnvidia-compute-430 - NVIDIA libcompute package libnvidia-decode-418 - Transitional package for libnvidia-decode-430 libnvidia-decode-430 - NVIDIA Video Decoding runtime libraries libnvidia-encode-418 - Transitional package for libnvidia-encode-430 libnvidia-encode-430 - NVENC Video Encoding runtime library libnvidia-fbc1-418 - Transitional package for libnvidia-fbc1-430 libnvidia-fbc1-430 - NVIDIA OpenGL-based Framebuffer Capture runtime library libnvidia-gl-418 - Transitional package for libnvidia-gl-430 libnvidia-gl-430 - NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD libnvidia-ifr1-418 - Transitional package for libnvidia-ifr1-430 libnvidia-ifr1-430 - NVIDIA OpenGL-based Inband Frame Readback runtime library linux-modules-nvidia-390-4.15.0-1022-oracle - Linux kernel nvidia modules for version 4.15.0-1022 linux-modules-nvidia-390-4.15.0-1047-aws - Linux kernel nvidia modules for version 4.15.0-1047 linux-modules-nvidia-390-4.15.0-58-generic - Linux kernel nvidia modules for version 4.15.0-58 linux-modules-nvidia-390-4.15.0-58-lowlatency - Linux kernel nvidia modules for version 4.15.0-58 linux-modules-nvidia-390-4.15.0-60-generic - Linux kernel nvidia modules for version 4.15.0-60 linux-modules-nvidia-390-4.15.0-60-lowlatency - Linux kernel nvidia modules for version 4.15.0-60 linux-modules-nvidia-390-5.0.0-1018-azure - Linux kernel nvidia modules for version 5.0.0-1018 linux-modules-nvidia-390-aws - Extra drivers for nvidia-390 for the aws flavour linux-modules-nvidia-390-azure - Extra drivers for nvidia-390 for the azure flavour linux-modules-nvidia-390-generic - Extra drivers for nvidia-390 for the generic flavour linux-modules-nvidia-390-lowlatency - Extra drivers for nvidia-390 for the lowlatency flavour linux-modules-nvidia-390-oracle - Extra drivers for nvidia-390 for the oracle flavour linux-modules-nvidia-418-5.0.0-1018-azure - Linux kernel nvidia modules for version 5.0.0-1018 linux-modules-nvidia-418-azure - Extra drivers for nvidia-418 for the azure flavour nvidia-340 - NVIDIA binary driver - version 340.107 nvidia-compute-utils-418 - Transitional package for nvidia-compute-utils-430 nvidia-compute-utils-430 - NVIDIA compute utilities nvidia-dkms-418 - Transitional package for nvidia-dkms-430 nvidia-dkms-430 - NVIDIA DKMS package nvidia-driver-418 - Transitional package for nvidia-driver-430 nvidia-driver-430 - NVIDIA driver metapackage nvidia-headless-418 - Transitional package for nvidia-headless-430 nvidia-headless-430 - NVIDIA headless metapackage nvidia-headless-no-dkms-418 - Transitional package for nvidia-headless-no-dkms-430 nvidia-headless-no-dkms-430 - NVIDIA headless metapackage - no DKMS nvidia-kernel-common-418 - Transitional package for nvidia-kernel-common-430 nvidia-kernel-common-430 - Shared files used with the kernel module nvidia-kernel-source-418 - Transitional package for nvidia-kernel-source-430 nvidia-kernel-source-430 - NVIDIA kernel source package nvidia-utils-418 - Transitional package for nvidia-utils-430 nvidia-utils-430 - NVIDIA driver support binaries xserver-xorg-video-nvidia-418 - Transitional package for xserver-xorg-video-nvidia-430 xserver-xorg-video-nvidia-430 - NVIDIA binary Xorg driver linux-modules-nvidia-390-5.0.0-1020-oem-osp1 - Linux kernel nvidia modules for version 5.0.0-1020 linux-modules-nvidia-390-oem-osp1 - Extra drivers for nvidia-390 for the oem-osp1 flavour linux-modules-nvidia-418-5.0.0-1020-oem-osp1 - Linux kernel nvidia modules for version 5.0.0-1020 linux-modules-nvidia-418-oem-osp1 - Extra drivers for nvidia-418 for the oem-osp1 flavour nsight-systems-2019.3.7 - NVIDIA Nsight Systems is a statistical sampling profiler with tracing features. cuda-drivers-diagnostic - CUDA Driver diagnostics meta-package cuda-drivers - CUDA Driver meta-package cuda-gdb-10-0 - CUDA-GDB cuda-gdb-10-1 - CUDA-GDB cuda-libraries-10-0 - CUDA Libraries 10.0 meta-package cuda-libraries-10-1 - CUDA Libraries 10.1 meta-package cuda-libraries-dev-10-0 - CUDA Libraries 10.0 development meta-package cuda-libraries-dev-10-1 - CUDA Libraries 10.1 development meta-package cuda-nsight-10-0 - CUDA nsight cuda-nsight-10-1 - CUDA nsight cuda-nsight-compute--10-0 - NVIDIA Nsight Compute Addon cuda-nsight-compute-10-0 - NVIDIA Nsight Compute cuda-nsight-compute-10-1 - NVIDIA Nsight Compute cuda-nsight-systems-10-1 - NVIDIA Nsight Systems cuda-nvtx-10-0 - NVIDIA Tools Extension cuda-nvtx-10-1 - NVIDIA Tools Extension cuda-nvvp-10-0 - CUDA nvvp cuda-nvvp-10-1 - CUDA nvvp cuda-visual-tools-10-0 - CUDA visual tools cuda-visual-tools-10-1 - CUDA visual tools libcuda1-384 - Transitional package for nvidia-headless-418 libnvidia-cfg1-410 - NVIDIA binary OpenGL/GLX configuration library libnvidia-common-410 - Shared files used by the NVIDIA libraries libnvidia-compute-410 - NVIDIA libcompute package libnvidia-decode-410 - NVIDIA Video Decoding runtime libraries libnvidia-diagnostic-410 - NVIDIA driver diagnostics utilities libnvidia-diagnostic-418 - NVIDIA driver diagnostics utilities libnvidia-encode-410 - NVENC Video Encoding runtime library libnvidia-fbc1-410 - NVIDIA OpenGL-based Framebuffer Capture runtime library libnvidia-gl-410 - NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD libnvidia-ifr1-410 - NVIDIA OpenGL-based Inband Frame Readback runtime library nsight-compute-2019.4.0 - NVIDIA Nsight Compute nvidia-384-dev - Transitional package for nvidia-driver-418 nvidia-384 - Transitional package for nvidia-driver-418 nvidia-compute-utils-410 - NVIDIA compute utilities nvidia-dkms-410 - NVIDIA DKMS package nvidia-driver-410 - NVIDIA driver metapackage nvidia-headless-410 - NVIDIA headless metapackage nvidia-headless-no-dkms-410 - NVIDIA headless metapackage - no DKMS nvidia-kernel-common-410 - Shared files used with the kernel module nvidia-kernel-source-410 - NVIDIA kernel source package nvidia-libopencl1-384 - Transitional package for nvidia-headless-418 nvidia-opencl-icd-384 - Transitional package for nvidia-headless-418 nvidia-utils-410 - NVIDIA driver support binaries xserver-xorg-video-nvidia-410 - NVIDIA binary Xorg driver libnccl2 - NVIDIA Collectives Communication Library (NCCL) Runtime libnccl-dev - NVIDIA Collectives Communication Library (NCCL) Development Files nvidia-machine-learning-repo-ubuntu1804 - nvidia-machine-learning repository configuration files $ apt search nvidia // 자세한 설명로 확인가능
- NVIDIA Site에서 Linux Driver 확인 및 Driver Version 정보확인
https://www.nvidia.com/Download/index.aspx?lang=en-us
RTX-2060(Notebook) 최신 Version 430 확인
https://www.nvidia.com/Download/driverResults.aspx/149138/en-us
Version 418의 RTX 2060 상위 1f11 과 동일 확인
https://download.nvidia.com/XFree86/Linux-x86_64/418.43/README/supportedchips.html
- NVIDIA DRIVER 설치 (Version 430)
$ sudo apt install nvidia-driver-430 $ sudo apt install nvidia-prime //상위 설치시 포함됨 //430 Version 관련부분 확인 $ apt-cache search nvidia | grep 430 $ dpkg -l libnvidia-gl-430 $ nvidia-smi Wed Sep 4 22:30:27 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 430.26 Driver Version: 430.26 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce RTX 2060 Off | 00000000:01:00.0 Off | N/A | | N/A 54C P0 N/A / N/A | 0MiB / 5926MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ //상위 GPU Memory 확인 및 GPU PID 확인 //After Reboot $ cat /proc/driver/nvidia/version NVRM version: NVIDIA UNIX x86_64 Kernel Module 430.26 Tue Jun 4 17:40:52 CDT 2019 GCC version: gcc version 7.4.0 (Ubuntu 7.4.0-1ubuntu1~18.04.1)
- Lenovo Graphic Card 설정 (기본 Graphic Card를 Intel 선택하면 안됨)
(참고만 하고 추후 업데이트되면 다시 테스트 진행)
$ prime-select query nvidia $ sudo prime-select intel Info: selecting the intel profile $ prime-select query intel $ sudo prime-select nvidia $ prime-select query nvidia $ cat /etc/X11/xorg.conf
prime-select 관련내용
https://github.com/wildtruc/nvidia-prime-select
- Lenovo Graphic Card 사양
- Intel UHD Graphics 630: 4K 지원 (Default 설정)
- NVIDIA RTX-2060 (laptop) : 4K 지원
https://www.intel.co.kr/content/www/kr/ko/support/articles/000025673/graphics-drivers.html
- 추후에 쉽게 설치 (동작가능예측, 미확인)
$ sudo add-apt-repository ppa:graphics-drivers/ppa $ sudo apt-get update $ sudo apt install nvidia-driver-430
https://www.reddit.com/r/Ubuntu/comments/b761of/nvidia_2060_rtx/
https://launchpad.net/~graphics-drivers/+archive/ubuntu/ppa
https://www.linuxbabe.com/ubuntu/install-nvidia-driver-ubuntu-18-04
1.3 Laptop WIFI/Bluetooth/ UVC 테스트
Laptop의 아래의 테스트만 이제 하면 얼추 다 테스트가 되는 것 같다
- LAN : 동작확인
- WIFI : 동작확인
- RF-Bluetooth : 동작확인
- UVC Camera : Laptop의 Camera가 USB에 연결 및 동작확인
$ rfkill list all
0: hci0: Bluetooth
Soft blocked: no
Hard blocked: no
1: phy0: Wireless LAN
Soft blocked: no
Hard blocked: no
$ lsusb -t
/: Bus 04.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/4p, 10000M
/: Bus 03.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/2p, 480M
/: Bus 02.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/8p, 10000M
/: Bus 01.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/16p, 480M
|__ Port 6: Dev 3, If 0, Class=Video, Driver=uvcvideo, 480M // Laptop Camera
|__ Port 6: Dev 3, If 1, Class=Video, Driver=uvcvideo, 480M
|__ Port 9: Dev 4, If 0, Class=Human Interface Device, Driver=usbhid, 12M // Key board / Mouse
|__ Port 14: Dev 5, If 0, Class=Wireless, Driver=btusb, 12M // Bluetooth
|__ Port 14: Dev 5, If 1, Class=Wireless, Driver=btusb, 12M
$ sudo apt install cheese // UVC Camera TEST
상위 항목들을 다 테스트를 진행을 했으니, 얼추 Laptop의 동작이 제대로 되는 것 같다.
드디어 제대로 된 설치가 된것 같으나, ACPI 부분이 좀 문제가 있어서, Battery 부분정보가 95%로 나옴 ( Window는 100%로 표시)
일단 기본동작 및 기본 HW 테스트 동작을 확인하였으나, mini Displayport 부분은 케이블과 모니터가 없기에 테스트 하지 못했지만, 상위 NVIDIA Driver에서 지원가능확인
1.4 Gparted 사용 후 Partition 정리
Gparted를 이용하여 Partition 관리부분으로 Ubuntu 설치가 다 된 후에 별도로 Parition들을 추가하여 만들어 각각의 관리하기 위해서 아래와 같이 정리
일반부팅을 해서 Gparted를 이용하여 Partition을 생성하면 아래와 같이 Partition을 수정 및 생성하면 Pending이 되고 진행되지 않는다.
왼쪽 아래 계속 Pending이 되고 진행이되지 않으며, 반드시 Edit->Apply All operations 실행해야진행된다.
1GB NVMe
- EFI Partition 구성 (BIOS-UEFI BOOT 도 지원)
1GB SDA(HDD)
1GB SDA(HDD)
- EFI Partition 구성됨 (BIOS-UEFI BOOT 도 지원)
Ubuntu 관련부분 설치
https://ahyuo79.blogspot.com/search/label/Ubuntu%20x86%20DevelEnv
$ ls -l /dev/disk/by-uuid // or blkid UUID 확인 후 아래에서 설정 $ sudo vi /etc/fstab // Linux Partition 세부설정 및 확인 # / was on /dev/nvme0n1p2 during installation UUID=38d297a7-29db-4b04-b293-bc4aa9dcb5ba / ext4 errors=remount-ro 0 1 # /boot/efi was on /dev/nvme0n1p1 during installation UUID=E549-D056 /boot/efi vfat umask=0077 0 1 /swapfile none swap sw 0 0 # # ls -l /dev/disk/by-uuid //UUID 확인 후 설정 # # Virtual box # 4ea3fb0a-50e0-4e27-a347-ac57b67effe7 -> ../../nvme0n1p3 UUID=4ea3fb0a-50e0-4e27-a347-ac57b67effe7 /home/jhlee/VirtualBox ext4 errors=remount-ro 0 1 # # ls -l /dev/disk/by-uuid // UUID 확인 후 설정 # Workspace # 59289fb6-1c09-40a8-ae5d-2cf08d7e39d5 -> ../../nvme0n1p4 # UUID=59289fb6-1c09-40a8-ae5d-2cf08d7e39d5 /home/jhlee/Worksapce ext4 errors=remount-ro 0 1 $ cat /proc/cmdline //최종 Kernel Parameter 확인 BOOT_IMAGE=/boot/vmlinuz-5.4.0-53-generic root=UUID=38d297a7-29db-4b04-b293-bc4aa9dcb5ba ro quiet splash vt.handoff=1
Ubuntu 관련부분 설치
https://ahyuo79.blogspot.com/search/label/Ubuntu%20x86%20DevelEnv
댓글 없음 :
댓글 쓰기