大服务器配置CUDA cuDNN

大服务器，两块 Tesla P100-PCIE显卡，安装驱动，配置cuda、cuDNN

https://developer.nvidia.com/cuda-11.2.2-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=2004&target_type=runfilelocal

1、下载CUDA11.2

wget https://developer.download.nvidia.com/compute/cuda/11.2.2/local_installers/cuda_11.2.2_460.32.03_linux.run

(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ wget https://developer.download.nvidia.com/compute/cuda/11.2.2/local_installers/cuda_11.2.2_460.32.03_linux.run
--2022-03-25 09:31:21--  https://developer.download.nvidia.com/compute/cuda/11.2.2/local_installers/cuda_11.2.2_460.32.03_linux.run
Resolving developer.download.nvidia.com (developer.download.nvidia.com)... 152.199.39.144
Connecting to developer.download.nvidia.com (developer.download.nvidia.com)|152.199.39.144|:443... connected.
HTTP request sent, awaiting response... 301 Moved Permanently
Location: https://developer.download.nvidia.cn/compute/cuda/11.2.2/local_installers/cuda_11.2.2_460.32.03_linux.run [following]
--2022-03-25 09:31:21--  https://developer.download.nvidia.cn/compute/cuda/11.2.2/local_installers/cuda_11.2.2_460.32.03_linux.run
Resolving developer.download.nvidia.cn (developer.download.nvidia.cn)... 58.205.210.82
Connecting to developer.download.nvidia.cn (developer.download.nvidia.cn)|58.205.210.82|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 3057439068 (2.8G) [application/octet-stream]
Saving to: ‘cuda_11.2.2_460.32.03_linux.run’

cuda_11.2.2_460.32.03_linux.run    100%[=============================================================>]   2.85G  11.3MB/s    in 4m 43s  

2022-03-25 09:36:06 (10.3 MB/s) - ‘cuda_11.2.2_460.32.03_linux.run’ saved [3057439068/3057439068]

(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$

View Code

2、安装

sudo sh cuda_11.2.2_460.32.03_linux.run

①点击continue

②输入accept

③按空格去掉安装显卡驱动的选项，然后选择install

3、配置环境变量

gedit ~/.bashrc

export PATH=/usr/local/cuda-11.2/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

4、更新环境变量

source ~/.bashrc

(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ source ~/.bashrc
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$

5、查看cuda

nvcc -V

(base) bim@bim-PowerEdge-R730:~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Sun_Feb_14_21:12:58_PST_2021
Cuda compilation tools, release 11.2, V11.2.152
Build cuda_11.2.r11.2/compiler.29618528_0
(base) bim@bim-PowerEdge-R730:~$

6、下载cuDNN

7、将cuda/include/cudnn.h文件复制到usr/local/cuda/include文件夹，将cuda/lib64/下所有文件复制到/usr/local/cuda/lib64文件夹中，并添加读取权限：

(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ 
(base) bim@bim-PowerEdge-R730:~$ cd Downloads
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ ls
cudnn-10.1-linux-x64-v8.0.5.39.tgz
cudnn-11.3-linux-x64-v8.2.1.32.tgz
cudnn-linux-x86_64-8.3.2.44_cuda10.2-archive.tar.xz
libcudnn8_8.2.1.32-1+cuda11.3_amd64.deb
libcudnn8-dev_8.2.1.32-1+cuda11.3_amd64.deb
PaddleDetection-release-2.3.zip
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ tar cudnn-11.3-linux-x64-v8.2.1.32.tgz
tar: Old option 'g' requires an argument.
Try 'tar --help' or 'tar --usage' for more information.
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ tar -zxvf cudnn-11.3-linux-x64-v8.2.1.32.tgz
cuda/include/cudnn.h
cuda/include/cudnn_adv_infer.h
cuda/include/cudnn_adv_infer_v8.h
cuda/include/cudnn_adv_train.h
cuda/include/cudnn_adv_train_v8.h
cuda/include/cudnn_backend.h
cuda/include/cudnn_backend_v8.h
cuda/include/cudnn_cnn_infer.h
cuda/include/cudnn_cnn_infer_v8.h
cuda/include/cudnn_cnn_train.h
cuda/include/cudnn_cnn_train_v8.h
cuda/include/cudnn_ops_infer.h
cuda/include/cudnn_ops_infer_v8.h
cuda/include/cudnn_ops_train.h
cuda/include/cudnn_ops_train_v8.h
cuda/include/cudnn_v8.h
cuda/include/cudnn_version.h
cuda/include/cudnn_version_v8.h
cuda/NVIDIA_SLA_cuDNN_Support.txt
cuda/lib64/libcudnn.so
cuda/lib64/libcudnn.so.8
cuda/lib64/libcudnn.so.8.2.1
cuda/lib64/libcudnn_adv_infer.so
cuda/lib64/libcudnn_adv_infer.so.8
cuda/lib64/libcudnn_adv_infer.so.8.2.1

cuda/lib64/libcudnn_adv_train.so
cuda/lib64/libcudnn_adv_train.so.8
cuda/lib64/libcudnn_adv_train.so.8.2.1
cuda/lib64/libcudnn_cnn_infer.so
cuda/lib64/libcudnn_cnn_infer.so.8
cuda/lib64/libcudnn_cnn_infer.so.8.2.1
cuda/lib64/libcudnn_cnn_infer_static.a
cuda/lib64/libcudnn_cnn_infer_static_v8.a
cuda/lib64/libcudnn_cnn_train.so
cuda/lib64/libcudnn_cnn_train.so.8
cuda/lib64/libcudnn_cnn_train.so.8.2.1
cuda/lib64/libcudnn_cnn_train_static.a
cuda/lib64/libcudnn_cnn_train_static_v8.a
cuda/lib64/libcudnn_ops_infer.so
cuda/lib64/libcudnn_ops_infer.so.8
cuda/lib64/libcudnn_ops_infer.so.8.2.1
cuda/lib64/libcudnn_ops_train.so
cuda/lib64/libcudnn_ops_train.so.8
cuda/lib64/libcudnn_ops_train.so.8.2.1
cuda/lib64/libcudnn_static.a
cuda/lib64/libcudnn_static_v8.a
(base) bim@bim-PowerEdge-R730:~/Downloads$ 
(base) bim@bim-PowerEdge-R730:~/Downloads$ cd cuda
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ sudo cp lib64/lib* /usr/local/cuda/lib64
[sudo] password for bim: 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ sudo cp include/cudnn.h /usr/local/cuda/include/
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Sun_Feb_14_21:12:58_PST_2021
Cuda compilation tools, release 11.2, V11.2.152
Build cuda_11.2.r11.2/compiler.29618528_0
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$ 
(base) bim@bim-PowerEdge-R730:~/Downloads/cuda$

8、查看配置结果

(wind_paddle) bim@bim-PowerEdge-R730:~$ 
(wind_paddle) bim@bim-PowerEdge-R730:~$ cat /usr/local/cuda/version.json
{
   "cuda" : {
      "name" : "CUDA SDK",
      "version" : "11.2.20210226"
   },
   "cuda_cudart" : {
      "name" : "CUDA Runtime (cudart)",
      "version" : "11.2.152"
   },
   "cuda_cuobjdump" : {
      "name" : "cuobjdump",
      "version" : "11.2.152"
   },
   "cuda_cupti" : {
      "name" : "CUPTI",
      "version" : "11.2.152"
   },
   "cuda_cuxxfilt" : {
      "name" : "CUDA cu++ filt",
      "version" : "11.2.152"
   },
   "cuda_demo_suite" : {
      "name" : "CUDA Demo Suite",
      "version" : "11.2.152"
   },
   "cuda_gdb" : {
      "name" : "CUDA GDB",
      "version" : "11.2.152"
   },
   "cuda_memcheck" : {
      "name" : "CUDA Memcheck",
      "version" : "11.2.152"
   },
   "cuda_nsight" : {
      "name" : "Nsight Eclipse Plugins",
      "version" : "11.2.152"
   },
   "cuda_nvcc" : {
      "name" : "CUDA NVCC",
      "version" : "11.2.152"
   },
   "cuda_nvdisasm" : {
      "name" : "CUDA nvdisasm",
      "version" : "11.2.152"
   },
   "cuda_nvml_dev" : {
      "name" : "CUDA NVML Headers",
      "version" : "11.2.152"
   },
   "cuda_nvprof" : {
      "name" : "CUDA nvprof",
      "version" : "11.2.152"
   },
   "cuda_nvprune" : {
      "name" : "CUDA nvprune",
      "version" : "11.2.152"
   },
   "cuda_nvrtc" : {
      "name" : "CUDA NVRTC",
      "version" : "11.2.152"
   },
   "cuda_nvtx" : {
      "name" : "CUDA NVTX",
      "version" : "11.2.152"
   },
   "cuda_nvvp" : {
      "name" : "CUDA NVVP",
      "version" : "11.2.152"
   },
   "cuda_samples" : {
      "name" : "CUDA Samples",
      "version" : "11.2.152"
   },
   "cuda_sanitizer_api" : {
      "name" : "CUDA Compute Sanitizer API",
      "version" : "11.2.152"
   },
   "libcublas" : {
      "name" : "CUDA cuBLAS",
      "version" : "11.4.1.1043"
   },
   "libcufft" : {
      "name" : "CUDA cuFFT",
      "version" : "10.4.1.152"
   },
   "libcurand" : {
      "name" : "CUDA cuRAND",
      "version" : "10.2.3.152"
   },
   "libcusolver" : {
      "name" : "CUDA cuSOLVER",
      "version" : "11.1.0.152"
   },
   "libcusparse" : {
      "name" : "CUDA cuSPARSE",
      "version" : "11.4.1.1152"
   },
   "libnpp" : {
      "name" : "CUDA NPP",
      "version" : "11.3.2.152"
   },
   "libnvjpeg" : {
      "name" : "CUDA nvJPEG",
      "version" : "11.4.0.152"
   },
   "nsight_compute" : {
      "name" : "Nsight Compute",
      "version" : "2020.3.1.4"
   },
   "nsight_systems" : {
      "name" : "Nsight Systems",
      "version" : "2020.4.3.7"
   },
   "nvidia_driver" : {
      "name" : "NVIDIA Linux Driver",
      "version" : "460.32.03"
   }
}
(wind_paddle) bim@bim-PowerEdge-R730:~$ 
(wind_paddle) bim@bim-PowerEdge-R730:~$

参考： https://developer.nvidia.com/rdp/cudnn-archive#a-collapse821-113

参考：https://www.jb51.net/article/192060.htm

################

posted @ 2022-03-25 09:31 西北逍遥阅读(371) 评论(0) 编辑收藏举报

会员力量，点亮园子希望

刷新页面返回顶部

西北逍遥

每一个不能早起的日子，都是对生命的浪费！

大服务器配置CUDA cuDNN

公告