NVIDIA is the inventor of the GRAPHICS processing unit (GPU) and a leader in artificial intelligence computing. We built the world’s largest gaming platform and the world’s fastest supercomputer.

    

The first step is to install the N card driver.

cby@cby-Inspiron-7577:~$sudo add-apt-repository ppa:graphics-drivers/ppa [sudo] cby  PPA publishes dbgsym, you may need to include 'main/debug' component Repository: 'deb http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu/ hirsute main' Description: Fresh drivers from upstream, currently shipping Nvidia. ## Current Status Current long-lived branch release: ` ` nvidia - 430 (430.40) Dropped support for Fermi series (https://nvidia.custhelp.com/app/answers/detail/a_id/4656) Old long-lived branch release: Use 'nvidia-390' (390.129) For G8x, G9x and GT2xx GPUs use 'nvidia-340' (340.107) For NV4x and G7x GPUs use 'nvidia-304' (304.137) end-of-life! Support timeframes for Unix legacy GPU releases: https://nvidia.custhelp.com/app/answers/detail/a_id/3142 ## What we're working on right now: - Normal driver updates - Help Wanted: Mesa Updates for Intel/AMD users, ping us if you want to help do this work, we're shorthanded. ## WARNINGS: This PPA is currently in testing, you should be experienced with packaging before you dive in here: Volunteers welcome! ### How you can help: ## Install PTS and benchmark your gear: sudo apt-get install phoronix-test-suite Run the benchmark: phoronix-test-suite default-benchmark openarena xonotic tesseract gputest unigine-valley and then say yes when it asks you to submit your results to openbechmarking.org. Then grab a cup of coffee, it takes a bit for the benchmarks to run. Depending on the version of Ubuntu you're using it might preferable for you to  grabs PTS from upstream directly: http://www.phoronix-test-suite.com/?k=downloads ## Share your results with the community: Post a link to your results (or any other feedback to): https://launchpad.net/~graphics-drivers-testers Remember to rerun and resubmit the benchmarks after driver upgrades, this will allow us to gather a bunch of data on performance that we can share with everybody. If you run into old documentation referring to other PPAs, you can help us by consolidating references to this PPA. If someone wants to go ahead and start prototyping on `software-properties-gtk` on what the GUI should look like, please start hacking! ## Help us Help You! We use the donation funds to get the developers hardware to test and upload these drivers, please consider donating to the "community" slider on the donation page if you're loving this PPA: http://www.ubuntu.com/download/desktop/contribute More info: https://launchpad.net/~graphics-drivers/+archive/ubuntu/ppa Adding repository. Press [ENTER] to continue or Ctrl-c to cancel. Adding deb entry to /etc/apt/sources.list.d/graphics-drivers-ubuntu-ppa-hirsute.list Adding disabled deb-src entry to /etc/apt/sources.list.d/graphics-drivers-ubuntu-ppa-hirsute.list Adding key to The/etc/apt/trusted. GPG. D/graphics - drivers - ubuntu - ppa. GPG with fingerprint ff3be10a76f638f80723fcae110b1118213c hit 2388:1 http://security.ubuntu.com/ubuntu hirsute ws-security InRelease hit: 3 http://dl.google.com/linux/chrome/deb stable InRelease Access: 4 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu hirsute InRelease [24.4 kB] hit: 5 http://cn.archive.ubuntu.com/ubuntu hirsute InRelease access: 6 http://cn.archive.ubuntu.com/ubuntu hirsute - updates InRelease [109 kB] get: 7 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu hirsute/main amd64 Packages [23.4 kB] hit: 8 http://cn.archive.ubuntu.com/ubuntu hirsute - backports InRelease access: 9 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu hirsute/main i386 Packages [10.6 kB] get: 10 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu hirsute/main Translation - en [5880 B] ignore: 2 https://developer.download.nvidia.cn/compute/machine-learning/repos/ubuntu1604/x86_64 InRelease hit: 11 https://developer.download.nvidia.cn/compute/machine-learning/repos/ubuntu1604/x86_64 have requested 173 kB in Release, Reading the software Package list in 21 seconds... Complete cby @ cby - Inspiron - 7577: ~ $Copy the code

Second, update the source and view installable drivers at the same time

Cby @ cby - Inspiron - 7577: ~ $sudo apt update hit: 1 http://dl.google.com/linux/chrome/deb stable InRelease hit: 2 http://cn.archive.ubuntu.com/ubuntu hirsute InRelease access: 4 http://cn.archive.ubuntu.com/ubuntu hirsute - updates InRelease [109 kB] hit: 5 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu hirsute InRelease hit: 6 http://security.ubuntu.com/ubuntu hirsute ws-security InRelease ignored: 3 https://developer.download.nvidia.cn/compute/machine-learning/repos/ubuntu1604/x86_64 InRelease hit: 7 https://developer.download.nvidia.cn/compute/machine-learning/repos/ubuntu1604/x86_64 Release hit: 8 http://cn.archive.ubuntu.com/ubuntu hirsute - backports InRelease downloaded 109 kB, takes 2 seconds (64.2 kB/s) is being read package list... Complete the dependency tree of the package being analyzed... Finished Reading status information... There are four packages that can be upgraded. Run 'apt List --upgradable' to see them. cby@cby-Inspiron-7577:~$ ubuntu-drivers devices WARNING:root:_pkg_get_support nvidia-driver-390: package has invalid Support Legacyheader, Always determine a support level = = / sys/devices/pci0000:00/0000:00:01onsaturday (UK time). 0/0000:01:00. 0 = = modalias: pci:v000010DEd00001C8Csv00001028sd000007FAbc03sc02i00 vendor : NVIDIA Corporation model : GP107M [GeForce GTX 1050 Ti Mobile] manual_install: True driver : nvidia-driver-460 - distro non-free recommended driver : nvidia-driver-450-server - distro non-free driver : nvidia-driver-390 - distro non-free driver : nvidia-driver-465 - distro non-free driver : nvidia-driver-460-server - distro non-free driver : nvidia-driver-418-server - distro non-free driver : xserver-xorg-video-nouveau - distro free builtin cby@cby-Inspiron-7577:~$ sudo apt install nvidia-driver-465 ... A little...Copy the code

 

Third, check the graphics card information

cby@cby-Inspiron-7577:~$ nvidia-smi Sun Jun 6 21:58:45 2021 + -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- + | NVIDIA SMI 465.27 Driver Version: CUDA 465.27 Version: 11.3 | | -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - + -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - + -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- + | GPU Name Persistence -m | Bus - Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA GeForce ... Off | 00000000:01:00. Off | 0 N/A | | c P3 of 59 N/A N/A/N/A | 919 mib / 4042 mib 6% Default | | | | | | N/A +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 1976 G /usr/lib/xorg/Xorg 351MiB | | 0 N/A N/A 2620 G /usr/bin/gnome-shell 213MiB | | 0 N/A N/A 4020 G gnome-control-center 1MiB | | 0 N/A N/A 4258 G ... AAAAAAAAA= --shared-files 349MiB | | 0 N/A N/A 6333 G /usr/bin/nvidia-settings 1MiB | +-----------------------------------------------------------------------------+ cby@cby-Inspiron-7577:~$Copy the code

Step 4: Install CUDA Toolkit Archive

https://developer.nvidia.com/cuda-toolkit-archive
Copy the code

Download and install CUDA from the official website above

Step 5: Install according to the official tutorial

cby@cby-Inspiron-7577:~$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
--2021-06-06 21:59:36--  https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
正在解析主机 developer.download.nvidia.com (developer.download.nvidia.com)... 192.254.94.202, 45.43.32.210, 45.43.32.211, ...
正在连接 developer.download.nvidia.com (developer.download.nvidia.com)|192.254.94.202|:443... 已连接。
已发出 HTTP 请求,正在等待回应... 301 Moved Permanently
位置:https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin [跟随至新的 URL]
--2021-06-06 21:59:37--  https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
正在解析主机 developer.download.nvidia.cn (developer.download.nvidia.cn)... 124.132.138.66, 124.132.138.73, 124.132.138.69
正在连接 developer.download.nvidia.cn (developer.download.nvidia.cn)|124.132.138.66|:443... 已连接。
已发出 HTTP 请求,正在等待回应... 200 OK
长度:190 [application/octet-stream]
正在保存至: ‘cuda-ubuntu2004.pin’

cuda-ubuntu2004.pin 100%[==================>]     190  --.-KB/s    用时 0s    

2021-06-06 21:59:37 (26.1 MB/s) - 已保存 ‘cuda-ubuntu2004.pin’ [190/190])

cby@cby-Inspiron-7577:~$ sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
cby@cby-Inspiron-7577:~$ wget https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb
--2021-06-06 21:59:48--  https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb
正在解析主机 developer.download.nvidia.com (developer.download.nvidia.com)... 45.43.32.210, 192.254.94.203, 45.43.32.211, ...
正在连接 developer.download.nvidia.com (developer.download.nvidia.com)|45.43.32.210|:443... 已连接。
已发出 HTTP 请求,正在等待回应... 301 Moved Permanently
位置:https://developer.download.nvidia.cn/compute/cuda/11.3.1/local_installers/cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb [跟随至新的 URL]
--2021-06-06 21:59:48--  https://developer.download.nvidia.cn/compute/cuda/11.3.1/local_installers/cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb
正在解析主机 developer.download.nvidia.cn (developer.download.nvidia.cn)... 124.132.138.66, 124.132.138.73, 124.132.138.69
正在连接 developer.download.nvidia.cn (developer.download.nvidia.cn)|124.132.138.66|:443... 已连接。
已发出 HTTP 请求,正在等待回应... 200 OK
长度:2374574280 (2.2G) [application/x-deb]
正在保存至: ‘cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb’

cuda-repo-ubuntu200 100%[==================>]   2.21G  44.0MB/s    用时 51s   

2021-06-06 22:00:40 (44.3 MB/s) - 已保存 ‘cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb’ [2374574280/2374574280])

cby@cby-Inspiron-7577:~$ sudo dpkg -i cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb
正在选中未选择的软件包 cuda-repo-ubuntu2004-11-3-local。
(正在读取数据库 ... 系统当前共安装有 209119 个文件和目录。)
准备解压 cuda-repo-ubuntu2004-11-3-local_11.3.1-465.19.01-1_amd64.deb  ...
正在解压 cuda-repo-ubuntu2004-11-3-local (11.3.1-465.19.01-1) ...
正在设置 cuda-repo-ubuntu2004-11-3-local (11.3.1-465.19.01-1) ...
cby@cby-Inspiron-7577:~$ sudo apt-key add /var/cuda-repo-ubuntu2004-11-3-local/7fa2af80.pub
Warning: apt-key is deprecated. Manage keyring files in trusted.gpg.d instead (see apt-key(8)).
OK
cby@cby-Inspiron-7577:~$ sudo apt-get update
获取:1 file:/var/cuda-repo-ubuntu2004-11-3-local  InRelease
忽略:1 file:/var/cuda-repo-ubuntu2004-11-3-local  InRelease
获取:2 file:/var/cuda-repo-ubuntu2004-11-3-local  Release [564 B]
获取:2 file:/var/cuda-repo-ubuntu2004-11-3-local  Release [564 B]
获取:3 file:/var/cuda-repo-ubuntu2004-11-3-local  Release.gpg [836 B]         
获取:3 file:/var/cuda-repo-ubuntu2004-11-3-local  Release.gpg [836 B]         
获取:4 file:/var/cuda-repo-ubuntu2004-11-3-local  Packages [30.4 kB]          
命中:5 http://cn.archive.ubuntu.com/ubuntu hirsute InRelease                  
获取:7 http://cn.archive.ubuntu.com/ubuntu hirsute-updates InRelease [109 kB] 
命中:8 http://dl.google.com/linux/chrome/deb stable InRelease                 
命中:9 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu hirsute InRelease 
命中:10 http://security.ubuntu.com/ubuntu hirsute-security InRelease          
忽略:6 https://developer.download.nvidia.cn/compute/machine-learning/repos/ubuntu1604/x86_64  InRelease
命中:11 https://developer.download.nvidia.cn/compute/machine-learning/repos/ubuntu1604/x86_64  Release
命中:13 http://cn.archive.ubuntu.com/ubuntu hirsute-backports InRelease
已下载 109 kB,耗时 2秒 (52.6 kB/s)
正在读取软件包列表... 完成
cby@cby-Inspiron-7577:~$ 
cby@cby-Inspiron-7577:~$ 
cby@cby-Inspiron-7577:~$ sudo apt-get -y install cuda
正在读取软件包列表... 完成
正在分析软件包的依赖关系树... 完成
正在读取状态信息... 完成                 
下列软件包是自动安装的并且现在不需要了:
  libaccinj64-11.2 libcub-dev libcublas11 libcublaslt11 libcudart11.0
  libcufft10 libcufftw10 libcuinj64-11.2 libcupti-dev libcupti-doc
  libcupti11.2 libcurand10 libcusolver11 libcusolvermg11 libcusparse11
  libegl-dev libgl-dev libgl1-mesa-dev libgles-dev libgles1 libglvnd-dev
  libglx-dev libnppc11 libnppial11 libnppicc11 libnppidei11 libnppif11
  libnppig11 libnppim11 libnppist11 libnppisu11 libnppitc11 libnpps11
  libnvblas11 libnvjpeg11 libnvrtc11.2 libnvtoolsext1 libnvvm4 libopengl-dev
  libopengl0 libpthread-stubs0-dev libthrust-dev libvdpau-dev libx11-dev
  libxau-dev libxcb1-dev libxdmcp-dev node-html5shiv nsight-compute
  nsight-compute-target nsight-systems nsight-systems-target nvidia-cuda-gdb
  nvidia-cuda-toolkit-doc nvidia-opencl-dev nvidia-profiler
  nvidia-visual-profiler ocl-icd-opencl-dev opencl-c-headers
  opencl-clhpp-headers x11proto-dev xorg-sgml-doctools xtrans-dev
使用'sudo apt autoremove'来卸载它(它们)。
将会同时安装下列软件:
  cuda-11-3 cuda-command-line-tools-11-3 cuda-compiler-11-3 cuda-cudart-11-3
  cuda-cudart-dev-11-3 cuda-cuobjdump-11-3 cuda-cupti-11-3
  cuda-cupti-dev-11-3 cuda-cuxxfilt-11-3 cuda-demo-suite-11-3
  cuda-documentation-11-3 cuda-driver-dev-11-3 cuda-drivers cuda-drivers-465
  cuda-gdb-11-3 cuda-libraries-11-3 cuda-libraries-dev-11-3
  cuda-memcheck-11-3 cuda-nsight-11-3 cuda-nsight-compute-11-3
  cuda-nsight-systems-11-3 cuda-nvcc-11-3 cuda-nvdisasm-11-3
  cuda-nvml-dev-11-3 cuda-nvprof-11-3 cuda-nvprune-11-3 cuda-nvrtc-11-3
  cuda-nvrtc-dev-11-3 cuda-nvtx-11-3 cuda-nvvp-11-3 cuda-runtime-11-3
  cuda-samples-11-3 cuda-sanitizer-11-3 cuda-thrust-11-3 cuda-toolkit-11-3
  cuda-toolkit-11-3-config-common cuda-toolkit-11-config-common
  cuda-toolkit-config-common cuda-tools-11-3 cuda-visual-tools-11-3
  default-jre default-jre-headless libcublas-11-3 libcublas-dev-11-3
  libcufft-11-3 libcufft-dev-11-3 libcurand-11-3 libcurand-dev-11-3
  libcusolver-11-3 libcusolver-dev-11-3 libcusparse-11-3 libcusparse-dev-11-3
  libnpp-11-3 libnpp-dev-11-3 libnvjpeg-11-3 libnvjpeg-dev-11-3
  nsight-compute-2021.1.1 nsight-systems-2021.1.3 nvidia-modprobe
  nvidia-settings openjdk-11-jre openjdk-11-jre-headless
建议安装:
  fonts-ipafont-gothic fonts-ipafont-mincho fonts-wqy-microhei
  | fonts-wqy-zenhei
下列【新】软件包将被安装:
  cuda cuda-11-3 cuda-command-line-tools-11-3 cuda-compiler-11-3
  cuda-cudart-11-3 cuda-cudart-dev-11-3 cuda-cuobjdump-11-3 cuda-cupti-11-3
  cuda-cupti-dev-11-3 cuda-cuxxfilt-11-3 cuda-demo-suite-11-3
  cuda-documentation-11-3 cuda-driver-dev-11-3 cuda-drivers cuda-drivers-465
  cuda-gdb-11-3 cuda-libraries-11-3 cuda-libraries-dev-11-3
  cuda-memcheck-11-3 cuda-nsight-11-3 cuda-nsight-compute-11-3
  cuda-nsight-systems-11-3 cuda-nvcc-11-3 cuda-nvdisasm-11-3
  cuda-nvml-dev-11-3 cuda-nvprof-11-3 cuda-nvprune-11-3 cuda-nvrtc-11-3
  cuda-nvrtc-dev-11-3 cuda-nvtx-11-3 cuda-nvvp-11-3 cuda-runtime-11-3
  cuda-samples-11-3 cuda-sanitizer-11-3 cuda-thrust-11-3 cuda-toolkit-11-3
  cuda-toolkit-11-3-config-common cuda-toolkit-11-config-common
  cuda-toolkit-config-common cuda-tools-11-3 cuda-visual-tools-11-3
  default-jre default-jre-headless libcublas-11-3 libcublas-dev-11-3
  libcufft-11-3 libcufft-dev-11-3 libcurand-11-3 libcurand-dev-11-3
  libcusolver-11-3 libcusolver-dev-11-3 libcusparse-11-3 libcusparse-dev-11-3
  libnpp-11-3 libnpp-dev-11-3 libnvjpeg-11-3 libnvjpeg-dev-11-3
  nsight-compute-2021.1.1 nsight-systems-2021.1.3 nvidia-modprobe
  openjdk-11-jre openjdk-11-jre-headless
下列软件包将被升级:
  nvidia-settings
升级了 1 个软件包,新安装了 62 个软件包,要卸载 0 个软件包,有 5 个软件包未被升级。
需要下载 37.4 MB/2,162 MB 的归档。
解压缩后会消耗 4,934 MB 的额外空间。
获取:1 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-toolkit-config-common 11.3.109-1 [16.1 kB]
获取:2 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-toolkit-11-config-common 11.3.109-1 [16.1 kB]
获取:3 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-toolkit-11-3-config-common 11.3.109-1 [16.1 kB]
获取:4 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-cudart-11-3 11.3.109-1 [157 kB]
获取:5 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-nvrtc-11-3 11.3.109-1 [26.1 MB]
获取:6 http://cn.archive.ubuntu.com/ubuntu hirsute-updates/main amd64 openjdk-11-jre-headless amd64 11.0.11+9-0ubuntu2 [37.2 MB]
获取:7 file:/var/cuda-repo-ubuntu2004-11-3-local  libcublas-11-3 11.5.1.109-1 [168 MB]
获取:8 file:/var/cuda-repo-ubuntu2004-11-3-local  libcufft-11-3 10.4.2.109-1 [108 MB]
获取:9 file:/var/cuda-repo-ubuntu2004-11-3-local  libcurand-11-3 10.2.4.109-1 [39.4 MB]
获取:10 file:/var/cuda-repo-ubuntu2004-11-3-local  libcusolver-11-3 11.1.2.109-1 [85.5 MB]
获取:11 file:/var/cuda-repo-ubuntu2004-11-3-local  libcusparse-11-3 11.6.0.109-1 [104 MB]
获取:12 file:/var/cuda-repo-ubuntu2004-11-3-local  libnpp-11-3 11.3.3.95-1 [75.1 MB]
获取:13 file:/var/cuda-repo-ubuntu2004-11-3-local  libnvjpeg-11-3 11.5.0.109-1 [1,742 kB]
获取:14 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-libraries-11-3 11.3.1-1 [2,498 B]
获取:15 file:/var/cuda-repo-ubuntu2004-11-3-local  nvidia-modprobe 465.19.01-0ubuntu1 [19.9 kB]
获取:16 file:/var/cuda-repo-ubuntu2004-11-3-local  nvidia-settings 465.19.01-0ubuntu1 [928 kB]
获取:17 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-drivers-465 465.19.01-1 [2,628 B]
获取:18 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-drivers 465.19.01-1 [2,504 B]
获取:19 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-runtime-11-3 11.3.1-1 [2,424 B]
获取:20 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-cuobjdump-11-3 11.3.58-1 [112 kB]
获取:21 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-cuxxfilt-11-3 11.3.58-1 [44.1 kB]
获取:22 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-thrust-11-3 11.3.109-1 [981 kB]
获取:23 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-driver-dev-11-3 11.3.109-1 [26.2 kB]
获取:24 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-cudart-dev-11-3 11.3.109-1 [737 kB]
获取:25 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-nvcc-11-3 11.3.109-1 [46.5 MB]
获取:26 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-nvprune-11-3 11.3.58-1 [54.9 kB]
获取:27 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-compiler-11-3 11.3.1-1 [2,430 B]
获取:28 file:/var/cuda-repo-ubuntu2004-11-3-local  cuda-nvrtc-dev-11-3 11.3.109-1 [23.4 kB]
获取:29 http://cn.archive.ubuntu.com/ubuntu hirsute/main amd64 default-jre-headless amd64 2:1.11-72 [3,192 B]
获取:30 http://cn.archive.ubuntu.com/ubuntu hirsute-updates/main amd64 openjdk-11-jre amd64 11.0.11+9-0ubuntu2 [177 kB]
获取:31 http://cn.archive.ubuntu.com/ubuntu hirsute/main amd64 default-jre amd64 2:1.11-72 [1,084 B]
获取:32 file:/var/cuda-repo-ubuntu2004-11-3-local  libcublas-dev-11-3 11.5.1.109-1 [171 MB]
获取:33 file:/var/cuda-repo-ubuntu2004-11-3-local  libcufft-dev-11-3 10.4.2.109-1 [181 MB]
获取:34 file:/var/cuda-repo-ubuntu2004-11-3-local  libcurand-dev-11-3 10.2.4.109-1 [39.9 MB]
获取:35 file:/var/cuda-repo-ubuntu2004-11-3-local  libcusolver-dev-11-3 11.1.2.109-1 [22.2 MB]
获取:36 file:/var/cuda-repo-ubuntu2004-11-3-local  libcusparse-dev-11-3 11.6.0.109-1 [104 MB]
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Setting alternatives
update-alternatives: 使用 /usr/local/cuda-11.3 来在自动模式中提供 /usr/local/cuda (cuda)
update-alternatives: 使用 /usr/local/cuda-11.3 来在自动模式中提供 /usr/local/cuda-11 (cuda-11)
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update-alternatives: 使用 /usr/lib/jvm/java-11-openjdk-amd64/bin/java 来在自动模式中提供 /usr/bin/java (java)
update-alternatives: 使用 /usr/lib/jvm/java-11-openjdk-amd64/bin/jjs 来在自动模式中提供 /usr/bin/jjs (jjs)
update-alternatives: 使用 /usr/lib/jvm/java-11-openjdk-amd64/bin/keytool 来在自动模式中提供 /usr/bin/keytool (keytool)
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update-alternatives: 使用 /usr/lib/jvm/java-11-openjdk-amd64/bin/unpack200 来在自动模式中提供 /usr/bin/unpack200 (unpack200)
update-alternatives: 使用 /usr/lib/jvm/java-11-openjdk-amd64/lib/jexec 来在自动模式中提供 /usr/bin/jexec (jexec)
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update-alternatives: 使用 /opt/nvidia/nsight-systems/2021.1.3/target-linux-x64/nsys 来在自动模式中提供 /usr/local/bin/nsys (nsys)
update-alternatives: 错误: alternative path /opt/nvidia/nsight-systems/2021.1.3/host-linux-x64/nsight-sys doesn't exist
update-alternatives: 错误: 无 nsight-sys 的候选项
update-alternatives: 使用 /opt/nvidia/nsight-systems/2021.1.3/host-linux-x64/nsys-ui 来在自动模式中提供 /usr/local/bin/nsys-ui (nsys-ui)
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Setting alternatives
正在设置 cuda-11-3 (11.3.1-1) ...
正在设置 cuda (11.3.1-1) ...
正在处理用于 libc-bin (2.33-0ubuntu5) 的触发器 ...
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正在处理用于 desktop-file-utils (0.26-1ubuntu1) 的触发器 ...
正在处理用于 hicolor-icon-theme (0.17-2) 的触发器 ...
正在处理用于 gnome-menus (3.36.0-1ubuntu1) 的触发器 ...
ZSys is adding automatic system snapshot to GRUB menu

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Step 6 configure environment variables

cby@cby-Inspiron-7577:~$ vim ~/.bashrc cby@cby-Inspiron-7577:~$ cat ~/.bashrc # ... A little... Export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.3/lib64 export PATH=$PATH: /usr/local/cudA-11.3/bin export CUDA_HOME = $CUDA_HOME: / usr/local/cuda 11.3 cby @ cby - Inspiron - 7577: ~ $source ~ /. BashrcCopy the code

Step 7, download and install CUDNN

https://developer.nvidia.com/cudnn
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Access such as to connect, register nvidia developers, after registration to download the installation package

Step 8 Go to the directory and install the downloaded installation package

Cby @ cby - Inspiron - 7577: ~ / Downloads $ls libcudnn8_8. 2.0.53-1 + cuda11.3 _amd64. Deb Libcudnn8 - dev_8. 2.0.53-1 + cuda11.3 _amd64. Deb libcudnn8 - samples_8. 2.0.53-1 + cuda11.3 _amd64. Deb Pycharm-community-2021.1.2.tar. gz cby@cby-Inspiron-7577:~/Downloads$sudo apt install./libcudnn8* Reading the list of software packages... Complete the dependency tree of the package being analyzed... Finished Reading status information... / libcudn8_8.2.0.53 -1+cuda11.3_amd64.deb' Select 'libcudnn8-dev' instead of './libcudnn8-dev_8.2.0.53-1+cuda11.3_amd64.deb' Select 'libcudnn8-samples' instead of './libcudnn8-samples_8.2.0.53-1+ CUDa11.3_amd64. deb' The following packages are automatically installed and are no longer needed: Libaccinj64-11.2 libcub-dev libcublas11 libcublaslt11 libcudart11.0 libcufft10 libcufftw10 libcuinj64-11.2 libcupti-dev Libcupti-doc libcupti11.2 libcurand10 libcusolver11 libcusolvermg11 libcusparse11 libegl-dev libgl-dev libgl1-mesa-dev libgles-dev libgles1 libglvnd-dev libglx-dev libnppc11 libnppial11 libnppicc11 libnppidei11 libnppif11 libnppig11 Libnppim11 libnppist11 libnppisu11 libnppitc11 libnpps11 libnvblas11 libnvjPEG11 libnVRtc11.2 libnVToolsext1 libnvVM4 libopengl-dev libopengl0 libpthread-stubs0-dev libthrust-dev libvdpau-dev libx11-dev libxau-dev libxcb1-dev libxdmcp-dev  node-html5shiv nsight-compute nsight-compute-target nsight-systems nsight-systems-target nvidia-cuda-gdb nvidia-cuda-toolkit-doc nvidia-opencl-dev nvidia-profiler nvidia-visual-profiler ocl-icd-opencl-dev opencl-c-headers Opencl-clhpp-headers x11proto-dev xorg-sgmL-doctools xtrans-dev uses 'sudo apt autoremove' to uninstall it. The following [new] packages will be installed: libcudnn8 libcudnn8-dev libcudnn8-samples Upgraded 0 packages, 3 packages were newly installed, 0 packages are to be uninstalled, 5 packages are not upgraded. You need to download a 0 B/823 MB archive. Unzipping consumes 2,899 MB of extra space. Obtain: 1 / home/cby/Downloads/libcudnn8_8 2.0.53-1 + cuda11.3 _amd64. Deb libcudnn8 amd64 8.2.0.53-1 + cuda11.3 (454 MB) to obtain: 2 / home/cby/Downloads/libcudnn8 - dev_8. 2.0.53-1 + cuda11.3 _amd64. Deb libcudnn8 - dev amd64 8.2.0.53-1 + cuda11.3 (366 MB) to obtain: 3 / home/cby/Downloads/libcudnn8 - samples_8. 2.0.53-1 + cuda11.3 _amd64. Deb libcudnn8 - samples amd64 8.2.0.53-1 + cuda11.3 [1672 KB] Requesting to save current system state Successfully saved as "autozsys_mptxG3" The unselected software package libcudnn8 is being selected. Reading database... The system currently has 216,273 files and directories installed. Ready to decompress... / libcudnn8_8. 2.0.53-1 + cuda11.3 _amd64. Deb... Decompressing libcudNn8 (8.2.0.53-1+ CUDa11.3)... Checking the unselected package libcudnn8-dev. Ready to decompress... / libcudnn8 - dev_8. 2.0.53-1 + cuda11.3 _amd64. Deb... Libcudnn8-dev (8.2.0.53-1+cuda11.3)... The unselected package libcudnn8-samples is being selected. Ready to decompress... / libcudnn8 - samples_8. 2.0.53-1 + cuda11.3 _amd64. Deb... Extracting libcudNN8-samples (8.2.0.53-1+ CUDa11.3)... Setting liBCudNn8 (8.2.0.53-1+ CUDa11.3)... Setting libcudnn8-dev (8.2.0.53-1+cuda11.3)... update-alternatives: Using /usr/include/x86_64-linux-gnu/ cudn_v8.h to provide /usr/include/cudnn.h (libcudnn) is setting up libcudnn8-samples (+ cuda11.3 8.2.0.53-1)... Processing trigger for LIBc-bin (2.33-0ubuntu5)... ZSys is adding automatic system snapshot to GRUB menu N: Because the file '/ home/cby/Downloads/libcudnn8_8 2.0.53-1 + cuda11.3 _amd64. Deb' cannot be users' _apt 'access, is out of the sand box and power for the root user to download. -pkgacquire ::Run (13: permission not enough) cby@cby-Inspiron-7577:~/Downloads$Copy the code

Step 9, verify

cby@cby-Inspiron-7577:~/Downloads$python Python 3.9.5 (default, May 11 2021, [GCC 10.3.0] on Linux Type "help", "copyright", "credits" or "license" for more information. >>> import paddle >>> paddle.utils.run_check() Running verify PaddlePaddle program ... W0606 22:39:35.543371 63149 Device_context. cc:404] Please NOTE: device: 0, GPU Compute Capability: Runtime API Version: 10.2w0606 22:39:35.572693 63149 Device_context. cc:422] 0, cuDNN Version: PaddlePaddle works well on 1 GPUs. PaddlePaddle works well on 1 GPUs. PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now. >>>Copy the code

Step 10: Run the emotional training model and see the results

Now that the installation is complete, note the following:

  1. It is extremely difficult to install on Windows. Some tools cannot be installed, resulting in abnormal operation

  2. AMD graphics cards can’t use gpus for AI calculations

  3. Pay special attention to PYTHON in the IDE development environment and the environment in the system

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