CUDA环境配置在Ubuntu18

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目录

1 NVIDIA CUDA环境配置

 1.1 NVIDIA GPU Driver 安装配置

1.2 NVIDIA CUDA 安装配置

1.2.1 NVIDIA GPU driver与CUDA 版本对应

1.2.2 CUAD 安装配置验证

1.3 cuDNN 安装配置

1.3.1 CUDA 与cuDNN 版本对应

1.3.2 cuDNN安装配置

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1 NVIDIA CUDA环境配置

 1.1 NVIDIA GPU Driver 安装配置

        step1：you can use "nvidia-detector" to detect nvidia driver for the GPU

        

        step2：you can update and install driver on sodtware&update

        

        step3：you can use "nvidia-smi" to see

        step4：you can "reboot" to see.

        可能有的错误：

        a. /home/hubery/lib/opencv/samples/opencl/opencl-opencv-interop.cpp:26:10: fatal error: CL/cl.h: 没有那个文件或目录

 #include <CL/cl.h>

        解决办法：use "sudo apt install nvidia-opencl-dev " to install opencl

        b. ubuntu解决libnvidia-gl-390错误

        ubuntu解决libnvidia-gl-390错误

1.2 NVIDIA CUDA 安装配置

 CUDA地址点开后，cuda对应平台各个版本下载地址：

CUDA Toolkit Archive | NVIDIA Developer

1.2.1 NVIDIA GPU driver与CUDA 版本对应

Table 3 CUDA Toolkit and Corresponding Driver Versions 

CUDA Toolkit	Toolkit Driver Version
	Linux x86_64 Driver Version	Windows x86_64 Driver Version
CUDA 12.4 GA	>=550.54.14	>=551.61
CUDA 12.3 Update 1	>=545.23.08	>=546.12
CUDA 12.3 GA	>=545.23.06	>=545.84
CUDA 12.2 Update 2	>=535.104.05	>=537.13
CUDA 12.2 Update 1	>=535.86.09	>=536.67
CUDA 12.2 GA	>=535.54.03	>=536.25
CUDA 12.1 Update 1	>=530.30.02	>=531.14
CUDA 12.1 GA	>=530.30.02	>=531.14
CUDA 12.0 Update 1	>=525.85.12	>=528.33
CUDA 12.0 GA	>=525.60.13	>=527.41
CUDA 11.8 GA	>=520.61.05	>=520.06
CUDA 11.7 Update 1	>=515.48.07	>=516.31
CUDA 11.7 GA	>=515.43.04	>=516.01
CUDA 11.6 Update 2	>=510.47.03	>=511.65
CUDA 11.6 Update 1	>=510.47.03	>=511.65
CUDA 11.6 GA	>=510.39.01	>=511.23
CUDA 11.5 Update 2	>=495.29.05	>=496.13
CUDA 11.5 Update 1	>=495.29.05	>=496.13
CUDA 11.5 GA	>=495.29.05	>=496.04
CUDA 11.4 Update 4	>=470.82.01	>=472.50
CUDA 11.4 Update 3	>=470.82.01	>=472.50
CUDA 11.4 Update 2	>=470.57.02	>=471.41
CUDA 11.4 Update 1	>=470.57.02	>=471.41
CUDA 11.4.0 GA	>=470.42.01	>=471.11
CUDA 11.3.1 Update 1	>=465.19.01	>=465.89
CUDA 11.3.0 GA	>=465.19.01	>=465.89
CUDA 11.2.2 Update 2	>=460.32.03	>=461.33
CUDA 11.2.1 Update 1	>=460.32.03	>=461.09
CUDA 11.2.0 GA	>=460.27.03	>=460.82
CUDA 11.1.1 Update 1	>=455.32	>=456.81
CUDA 11.1 GA	>=455.23	>=456.38
CUDA 11.0.3 Update 1	>= 450.51.06	>= 451.82
CUDA 11.0.2 GA	>= 450.51.05	>= 451.48
CUDA 11.0.1 RC	>= 450.36.06	>= 451.22
CUDA 10.2.89	>= 440.33	>= 441.22
CUDA 10.1 (10.1.105 general release, and updates)	>= 418.39	>= 418.96
CUDA 10.0.130	>= 410.48	>= 411.31
CUDA 9.2 (9.2.148 Update 1)	>= 396.37	>= 398.26
CUDA 9.2 (9.2.88)	>= 396.26	>= 397.44
CUDA 9.1 (9.1.85)	>= 390.46	>= 391.29
CUDA 9.0 (9.0.76)	>= 384.81	>= 385.54
CUDA 8.0 (8.0.61 GA2)	>= 375.26	>= 376.51
CUDA 8.0 (8.0.44)	>= 367.48	>= 369.30
CUDA 7.5 (7.5.16)	>= 352.31	>= 353.66
CUDA 7.0 (7.0.28)	>= 346.46	>= 347.62

1.2.2 CUAD 安装配置验证

wget https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run
sudo sh cuda_12.1.1_530.30.02_linux.run

仅仅安装 CUDA Toolkit 12.1即可，如下安装完成：

增加环境变量

vi ~/.bashrc

# cuda path
# ln -s /usr/local/cuda-12.1 /usr/local/cuda #建立软链接
export CUDA_HOME=/usr/local/cuda
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export PATH=$PATH:/usr/local/cuda/bin

source ~/.bashrc

验证CUDA安装成功

        上述表示安装成功

1.3 cuDNN 安装配置

cudnn下载路径：cuDNN Archive | NVIDIA Developer 

1.3.1 CUDA 与cuDNN 版本对应

Download cuDNN v8.9.7 (December 5th, 2023), for CUDA 12.x

Download cuDNN v8.9.7 (December 5th, 2023), for CUDA 11.x

Download cuDNN v8.9.6 (November 1st, 2023), for CUDA 12.x

Download cuDNN v8.9.6 (November 1st, 2023), for CUDA 11.x

Download cuDNN v8.9.5 (October 27th, 2023), for CUDA 12.x

Download cuDNN v8.9.5 (October 27th, 2023), for CUDA 11.x

Download cuDNN v8.9.4 (August 8th, 2023), for CUDA 12.x

Download cuDNN v8.9.4 (August 8th, 2023), for CUDA 11.x

Download cuDNN v8.9.3 (July 11th, 2023), for CUDA 12.x

Download cuDNN v8.9.3 (July 11th, 2023), for CUDA 11.x

Download cuDNN v8.9.2 (June 1st, 2023), for CUDA 12.x

Download cuDNN v8.9.2 (June 1st, 2023), for CUDA 11.x

Download cuDNN v8.9.1 (May 5th, 2023), for CUDA 12.x

Download cuDNN v8.9.1 (May 5th, 2023), for CUDA 11.x

Download cuDNN v8.9.0 (April 11th, 2023), for CUDA 12.x

Download cuDNN v8.9.0 (April 11th, 2023), for CUDA 11.x

Download cuDNN v8.8.1 (March 8th, 2023), for CUDA 12.x

Download cuDNN v8.8.1 (March 8th, 2023), for CUDA 11.x

Download cuDNN v8.8.0 (February 7th, 2023), for CUDA 12.0

Download cuDNN v8.8.0 (February 7th, 2023), for CUDA 11.x

Download cuDNN v8.7.0 (November 28th, 2022), for CUDA 11.x

Download cuDNN v8.7.0 (November 28th, 2022), for CUDA 10.2

Download cuDNN v8.6.0 (October 3rd, 2022), for CUDA 11.x

Download cuDNN v8.6.0 (October 3rd, 2022), for CUDA 10.2

Download cuDNN v8.5.0 (August 8th, 2022), for CUDA 11.x

Download cuDNN v8.5.0 (August 8th, 2022), for CUDA 10.2

Download cuDNN v8.4.1 (May 27th, 2022), for CUDA 11.x

Download cuDNN v8.4.1 (May 27th, 2022), for CUDA 10.2

Download cuDNN v8.4.0 (April 1st, 2022), for CUDA 11.x

Download cuDNN v8.4.0 (April 1st, 2022), for CUDA 10.2

Download cuDNN v8.3.3 (March 18th, 2022), for CUDA 11.5

Download cuDNN v8.3.3 (March 18th, 2022), for CUDA 10.2

Download cuDNN v8.3.2 (January 10th, 2022), for CUDA 11.5

Download cuDNN v8.3.2 (January 10th, 2022), for CUDA 10.2

Download cuDNN v8.3.1 (November 22nd, 2021), for CUDA 11.5

Download cuDNN v8.3.1 (November 22nd, 2021), for CUDA 10.2

Download cuDNN v8.3.0 (November 3rd, 2021), for CUDA 11.5

Download cuDNN v8.3.0 (November 3rd, 2021), for CUDA 10.2

Download cuDNN v8.2.4 (September 2nd, 2021), for CUDA 11.4

Download cuDNN v8.2.4 (September 2nd, 2021), for CUDA 10.2

Download cuDNN v8.2.2 (July 6th, 2021), for CUDA 11.4

Download cuDNN v8.2.2 (July 6th, 2021), for CUDA 10.2

Download cuDNN v8.2.1 (June 7th, 2021), for CUDA 11.x

Download cuDNN v8.2.1 (June 7th, 2021), for CUDA 10.2

Download cuDNN v8.2.0 (April 23rd, 2021), for CUDA 11.x

Download cuDNN v8.2.0 (April 23rd, 2021), for CUDA 10.2

Download cuDNN v8.1.1 (Feburary 26th, 2021), for CUDA 11.0,11.1 and 11.2

Download cuDNN v8.1.1 (Feburary 26th, 2021), for CUDA 10.2

Download cuDNN v8.1.0 (January 26th, 2021), for CUDA 11.0,11.1 and 11.2

Download cuDNN v8.1.0 (January 26th, 2021), for CUDA 10.2

Download cuDNN v8.0.5 (November 9th, 2020), for CUDA 11.1

Download cuDNN v8.0.5 (November 9th, 2020), for CUDA 11.0

Download cuDNN v8.0.5 (November 9th, 2020), for CUDA 10.2

Download cuDNN v8.0.5 (November 9th, 2020), for CUDA 10.1

Download cuDNN v8.0.4 (September 28th, 2020), for CUDA 11.1

Download cuDNN v8.0.4 (September 28th, 2020), for CUDA 11.0

Download cuDNN v8.0.4 (September 28th, 2020), for CUDA 10.2

Download cuDNN v8.0.4 (September 28th, 2020), for CUDA 10.1

Download cuDNN v8.0.3 (August 26th, 2020), for CUDA 11.0

Download cuDNN v8.0.3 (August 26th, 2020), for CUDA 10.2

Download cuDNN v8.0.3 (August 26th, 2020), for CUDA 10.1

Download cuDNN v8.0.2 (July 24th, 2020), for CUDA 11.0

Download cuDNN v8.0.2 (July 24th, 2020), for CUDA 10.2

Download cuDNN v8.0.2 (July 24th, 2020), for CUDA 10.1

Download cuDNN v8.0.1 RC2 (June 26th, 2020), for CUDA 11.0

Download cuDNN v8.0.1 RC2 (June 26th, 2020), for CUDA 10.2

Download cuDNN v7.6.5 (November 18th, 2019), for CUDA 10.2

Download cuDNN v7.6.5 (November 5th, 2019), for CUDA 10.1

Download cuDNN v7.6.5 (November 5th, 2019), for CUDA 10.0

Download cuDNN v7.6.5 (November 5th, 2019), for CUDA 9.2

Download cuDNN v7.6.5 (November 5th, 2019), for CUDA 9.0

Download cuDNN v7.6.4 (September 27, 2019), for CUDA 10.1

Download cuDNN v7.6.4 (September 27, 2019), for CUDA 10.0

Download cuDNN v7.6.4 (September 27, 2019), for CUDA 9.2

Download cuDNN v7.6.4 (September 27, 2019), for CUDA 9.0

Download cuDNN v7.6.3 (August 23, 2019), for CUDA 10.1

Download cuDNN v7.6.3 (August 23, 2019), for CUDA 10.0

Download cuDNN v7.6.3 (August 23, 2019), for CUDA 9.2

Download cuDNN v7.6.3 (August 23, 2019), for CUDA 9.0

Download cuDNN v7.6.2 (July 22, 2019), for CUDA 10.1

Download cuDNN v7.6.2 (July 22, 2019), for CUDA 10.0

Download cuDNN v7.6.2 (July 22, 2019), for CUDA 9.2

Download cuDNN v7.6.2 (July 22, 2019), for CUDA 9.0

Download cuDNN v7.6.1 (June 24, 2019), for CUDA 10.1

Download cuDNN v7.6.1 (June 24, 2019), for CUDA 10.0

Download cuDNN v7.6.1 (June 24, 2019), for CUDA 9.2

Download cuDNN v7.6.1 (June 24, 2019), for CUDA 9.0

Download cuDNN v7.6.0 (May 20, 2019), for CUDA 10.1

Download cuDNN v7.6.0 (May 20, 2019), for CUDA 10.0

Download cuDNN v7.6.0 (May 20, 2019), for CUDA 9.2

Download cuDNN v7.6.0 (May 20, 2019), for CUDA 9.0

Download cuDNN v7.5.1 (April 22, 2019), for CUDA 10.1

Download cuDNN v7.5.1 (April 22, 2019), for CUDA 10.0

Download cuDNN v7.5.1 (April 22, 2019), for CUDA 9.2

Download cuDNN v7.5.1 (April 22, 2019), for CUDA 9.0

Download cuDNN v7.5.0 (Feb 25, 2019), for CUDA 10.1

Download cuDNN v7.5.0 (Feb 21, 2019), for CUDA 10.0

Download cuDNN v7.5.0 (Feb 21, 2019), for CUDA 9.2

Download cuDNN v7.5.0 (Feb 21, 2019), for CUDA 9.0

Download cuDNN v7.4.2 (Dec 14, 2018), for CUDA 10.0

Download cuDNN v7.4.2 (Dec 14, 2018), for CUDA 9.2

Download cuDNN v7.4.2 (Dec 14, 2018), for CUDA 9.0

Download cuDNN v7.4.1 (Nov 8, 2018), for CUDA 10.0

Download cuDNN v7.4.1 (Nov 8, 2018), for CUDA 9.2

Download cuDNN v7.4.1 (Nov 8, 2018), for CUDA 9.0

Download cuDNN v7.3.1 (Sept 28, 2018), for CUDA 10.0

Download cuDNN v7.3.1 (Sept 28, 2018), for CUDA 9.2

Download cuDNN v7.3.1 (Sept 28, 2018), for CUDA 9.0

Download cuDNN v7.3.0 (Sept 19, 2018), for CUDA 10.0

Download cuDNN v7.3.0 (Sept 19, 2018), for CUDA 9.0

Download cuDNN v7.2.1 (August 7, 2018), for CUDA 9.2

Download cuDNN v7.1.4 (May 16, 2018), for CUDA 9.2

Download cuDNN v7.1.4 (May 16, 2018), for CUDA 9.0

Download cuDNN v7.1.4 (May 16, 2018), for CUDA 8.0

Download cuDNN v7.1.3 (April 17, 2018), for CUDA 9.1

Download cuDNN v7.1.3 (April 17, 2018), for CUDA 9.0

Download cuDNN v7.1.3 (April 17, 2018), for CUDA 8.0

Download cuDNN v7.1.2 (Mar 21, 2018), for CUDA 9.1 & 9.2

Download cuDNN v7.1.2 (Mar 21, 2018), for CUDA 9.0

Download cuDNN v7.0.5 (Dec 11, 2017), for CUDA 9.1

Download cuDNN v7.0.5 (Dec 5, 2017), for CUDA 9.0

Download cuDNN v7.0.5 (Dec 5, 2017), for CUDA 8.0

Download cuDNN v7.0.4 (Nov 13, 2017), for CUDA 9.0

Download cuDNN v6.0 (April 27, 2017), for CUDA 8.0

Download cuDNN v6.0 (April 27, 2017), for CUDA 7.5

Download cuDNN v5.1 (Jan 20, 2017), for CUDA 8.0

Download cuDNN v5.1 (Jan 20, 2017), for CUDA 7.5

Download cuDNN v5 (May 27, 2016), for CUDA 8.0

Download cuDNN v5 (May 12, 2016), for CUDA 7.5

Download cuDNN v4 (Feb 10, 2016), for CUDA 7.0 and later.

Download cuDNN v3 (September 8, 2015), for CUDA 7.0 and later.

Download cuDNN v2 (March 17,2015), for CUDA 6.5 and later.

Download cuDNN v1 (cuDNN 6.5 R1)

1.3.2 cuDNN安装配置

 选择与cuda版本匹配的cudnn版本，这里选v8.9.7版本。

 选择Local Installer for Linux x86_64 (Tar)

解压cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz得到

拷贝并执行cudnn代码到cuda中：

cd cudnn-linux-x86_64-8.9.7.29_cuda12-archive
sudo cp -d include/cudnn*.h /usr/local/cuda/include
sudo cp -d lib/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*

验证cuDNN：

cat /usr/local/cuda/include/cudnn_version.h | grep CUDNN_MAJOR -A 2

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