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ndinh215/cuda_11.3_installation_on_Ubuntu_20.04

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Created October 8, 2022 03:18
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Revisions

  1. @Mahedi-61 Mahedi-61 revised this gist May 6, 2022. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion cuda_11.3_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -49,7 +49,7 @@ source ~/.bashrc
    sudo ldconfig

    # install cuDNN v11.3
    # For downloading cuDNN v11.2 you have to be regeistered here https://developer.nvidia.com/developer-program/signup
    # First register here: https://developer.nvidia.com/developer-program/signup

    CUDNN_TAR_FILE="cudnn-11.3-linux-x64-v8.2.1.32.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.2.1.32/11.3_06072021/cudnn-11.3-linux-x64-v8.2.1.32.tgz
  2. @Mahedi-61 Mahedi-61 renamed this gist May 6, 2022. 1 changed file with 15 additions and 15 deletions.
    30 changes: 15 additions & 15 deletions cuda_11.2_installation_on_Ubuntu_20.04 → cuda_11.3_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -33,36 +33,36 @@ sudo apt install libnvidia-common-470
    sudo apt install libnvidia-gl-470
    sudo apt install nvidia-driver-470

    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
    wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
    sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
    sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
    sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
    sudo apt-get update

    # installing CUDA-11.2
    sudo apt install cuda-11-2
    # installing CUDA-11.3
    sudo apt install cuda-11-3

    # setup your paths
    echo 'export PATH=/usr/local/cuda-11.2/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    echo 'export PATH=/usr/local/cuda-11.3/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.3/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc
    sudo ldconfig

    # install cuDNN v11.2
    # install cuDNN v11.3
    # For downloading cuDNN v11.2 you have to be regeistered here https://developer.nvidia.com/developer-program/signup

    CUDNN_TAR_FILE="cudnn-11.2-linux-x64-v8.1.1.33.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.1.1.33/11.2_20210301/cudnn-11.2-linux-x64-v8.1.1.33.tgz
    CUDNN_TAR_FILE="cudnn-11.3-linux-x64-v8.2.1.32.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.2.1.32/11.3_06072021/cudnn-11.3-linux-x64-v8.2.1.32.tgz
    tar -xzvf ${CUDNN_TAR_FILE}

    # copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.2/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-11.2/lib64/
    sudo chmod a+r /usr/local/cuda-11.2/lib64/libcudnn*
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.3/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-11.3/lib64/
    sudo chmod a+r /usr/local/cuda-11.3/lib64/libcudnn*

    # Finally, to verify the installation, check
    nvidia-smi
    nvcc -V

    # install Pytorch (an open source machine learning framework)
    # I choose version 1.8.1 because it is stable and compatible with CUDA 11.2 Toolkit and cuDNN 8.1

    pip3 install torch==1.8.1 torchvision==0.9.1
    pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
  3. @Mahedi-61 Mahedi-61 revised this gist Dec 17, 2021. 1 changed file with 3 additions and 3 deletions.
    6 changes: 3 additions & 3 deletions cuda_11.2_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -47,7 +47,7 @@ source ~/.bashrc
    sudo ldconfig

    # install cuDNN v11.2
    # For downloading cuDNN v8.1 you have to be regeistered here https://developer.nvidia.com/developer-program/signup
    # For downloading cuDNN v11.2 you have to be regeistered here https://developer.nvidia.com/developer-program/signup

    CUDNN_TAR_FILE="cudnn-11.2-linux-x64-v8.1.1.33.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.1.1.33/11.2_20210301/cudnn-11.2-linux-x64-v8.1.1.33.tgz
    @@ -63,6 +63,6 @@ nvidia-smi
    nvcc -V

    # install Pytorch (an open source machine learning framework)
    # I choose version 1.8.0 because it is stable and compatible with CUDA 11.2 Toolkit and cuDNN 8.1
    # I choose version 1.8.1 because it is stable and compatible with CUDA 11.2 Toolkit and cuDNN 8.1

    pip3 install torch==1.8.0 torchvision==0.9.0
    pip3 install torch==1.8.1 torchvision==0.9.1
  4. @Mahedi-61 Mahedi-61 revised this gist Dec 17, 2021. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion cuda_11.2_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -65,4 +65,4 @@ nvcc -V
    # install Pytorch (an open source machine learning framework)
    # I choose version 1.8.0 because it is stable and compatible with CUDA 11.2 Toolkit and cuDNN 8.1

    pip3 install pytorch==1.8.0 torchvision==0.9.0
    pip3 install torch==1.8.0 torchvision==0.9.0
  5. @Mahedi-61 Mahedi-61 revised this gist Dec 17, 2021. 1 changed file with 6 additions and 17 deletions.
    23 changes: 6 additions & 17 deletions cuda_11.2_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,5 +1,4 @@
    #!/bin/bash
    ## This gist contains instructions about cuda v11.2 and cudnn8.1 installation in Ubuntu 20.04 for Pytorch 1.8 & Tensorflow 2.7.0

    ### steps ####
    # verify the system has a cuda-capable gpu
    @@ -8,29 +7,23 @@
    # verify the installation
    ###

    ### to verify your gpu is cuda enable check
    lspci | grep -i nvidia

    ### If you have previous installation remove it first.
    sudo apt-get purge nvidia*
    sudo apt remove nvidia-*
    sudo rm /etc/apt/sources.list.d/cuda*
    sudo apt-get autoremove && sudo apt-get autoclean
    sudo rm -rf /usr/local/cuda*


    ### to verify your gpu is cuda enable check
    lspci | grep -i nvidia

    ### gcc compiler is required for development using the cuda toolkit. to verify the version of gcc install enter
    gcc --version

    # system update
    sudo apt-get update
    sudo apt-get upgrade


    # install other import packages
    sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev


    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa
    sudo apt update
    @@ -40,30 +33,26 @@ sudo apt install libnvidia-common-470
    sudo apt install libnvidia-gl-470
    sudo apt install nvidia-driver-470


    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
    sudo apt-get update

    # installing CUDA-11.2
    sudo apt install cuda-11-2


    # setup your paths
    echo 'export PATH=/usr/local/cuda-11.2/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc
    sudo ldconfig

    # install cuDNN v8.1
    # in order to download cuDNN you have to be regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v8.1 form https://developer.nvidia.com/cudnn
    # install cuDNN v11.2
    # For downloading cuDNN v8.1 you have to be regeistered here https://developer.nvidia.com/developer-program/signup

    CUDNN_TAR_FILE="cudnn-11.2-linux-x64-v8.1.1.33.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.1.1.33/11.2_20210301/cudnn-11.2-linux-x64-v8.1.1.33.tgz
    tar -xzvf ${CUDNN_TAR_FILE}


    # copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.2/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-11.2/lib64/
    @@ -76,4 +65,4 @@ nvcc -V
    # install Pytorch (an open source machine learning framework)
    # I choose version 1.8.0 because it is stable and compatible with CUDA 11.2 Toolkit and cuDNN 8.1

    pip3 install pytorch==1.8.0 torchvision==0.9.0
    pip3 install pytorch==1.8.0 torchvision==0.9.0
  6. @Mahedi-61 Mahedi-61 revised this gist Nov 11, 2021. 1 changed file with 2 additions and 2 deletions.
    4 changes: 2 additions & 2 deletions cuda_11.2_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,5 +1,5 @@
    #!/bin/bash
    ## This gist contains instructions about cuda v11.2 and cudnn8.1 installation in Ubuntu 20.04 for Pytorch 1.8
    ## This gist contains instructions about cuda v11.2 and cudnn8.1 installation in Ubuntu 20.04 for Pytorch 1.8 & Tensorflow 2.7.0

    ### steps ####
    # verify the system has a cuda-capable gpu
    @@ -37,7 +37,7 @@ sudo apt update

    # install nvidia driver with dependencies
    sudo apt install libnvidia-common-470
    sudo apt install libnividia-gl-470
    sudo apt install libnvidia-gl-470
    sudo apt install nvidia-driver-470


  7. @Mahedi-61 Mahedi-61 revised this gist Sep 25, 2021. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion cuda_11.2_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,5 +1,5 @@
    #!/bin/bash
    ## This gist contains instructions about cuda v10.1 and cudnn 7.6 installation in Ubuntu 18.04 for Tensorflow 2.1.0
    ## This gist contains instructions about cuda v11.2 and cudnn8.1 installation in Ubuntu 20.04 for Pytorch 1.8

    ### steps ####
    # verify the system has a cuda-capable gpu
  8. @Mahedi-61 Mahedi-61 renamed this gist Sep 25, 2021. 1 changed file with 24 additions and 16 deletions.
    40 changes: 24 additions & 16 deletions cuda_10.1_installation_on_Ubuntu_18.04 → cuda_11.2_installation_on_Ubuntu_20.04
    View file
    Original file line number Diff line number Diff line change
    @@ -33,39 +33,47 @@ sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev lib

    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa
    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
    sudo apt update

    # install nvidia driver with dependencies
    sudo apt install libnvidia-common-470
    sudo apt install libnividia-gl-470
    sudo apt install nvidia-driver-470


    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
    sudo apt-get update

    # installing CUDA-10.1
    sudo apt-get -o Dpkg::Options::="--force-overwrite" install cuda-10-1 cuda-drivers
    # installing CUDA-11.2
    sudo apt install cuda-11-2


    # setup your paths
    echo 'export PATH=/usr/local/cuda-10.1/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    echo 'export PATH=/usr/local/cuda-11.2/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc
    sudo ldconfig

    # install cuDNN v7.6
    # install cuDNN v8.1
    # in order to download cuDNN you have to be regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v7.6 form https://developer.nvidia.com/cudnn
    # then download cuDNN v8.1 form https://developer.nvidia.com/cudnn

    CUDNN_TAR_FILE="cudnn-10.1-linux-x64-v7.6.5.32.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.5.32/Production/10.1_20191031/cudnn-10.1-linux-x64-v7.6.5.32.tgz
    CUDNN_TAR_FILE="cudnn-11.2-linux-x64-v8.1.1.33.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.1.1.33/11.2_20210301/cudnn-11.2-linux-x64-v8.1.1.33.tgz
    tar -xzvf ${CUDNN_TAR_FILE}


    # copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-10.1/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-10.1/lib64/
    sudo chmod a+r /usr/local/cuda-10.1/lib64/libcudnn*
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.2/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-11.2/lib64/
    sudo chmod a+r /usr/local/cuda-11.2/lib64/libcudnn*

    # Finally, to verify the installation, check
    nvidia-smi
    nvcc -V

    # install Tensorflow (an open source machine learning framework)
    # I choose version 2.1.0 because it is stable and compatible with CUDA 10.1 Toolkit and cuDNN 7.6
    # install Pytorch (an open source machine learning framework)
    # I choose version 1.8.0 because it is stable and compatible with CUDA 11.2 Toolkit and cuDNN 8.1

    sudo pip3 install --user tensorflow-gpu==2.1.0
    pip3 install pytorch==1.8.0 torchvision==0.9.0
  9. @Mahedi-61 Mahedi-61 revised this gist May 4, 2020. 1 changed file with 1 addition and 0 deletions.
    1 change: 1 addition & 0 deletions cuda_10.1_installation_on_Ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -35,6 +35,7 @@ sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev lib
    sudo add-apt-repository ppa:graphics-drivers/ppa
    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
    sudo apt-get update

    # installing CUDA-10.1
    sudo apt-get -o Dpkg::Options::="--force-overwrite" install cuda-10-1 cuda-drivers
  10. @Mahedi-61 Mahedi-61 revised this gist Apr 29, 2020. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion cuda_10.1_installation_on_Ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -67,4 +67,4 @@ nvcc -V
    # install Tensorflow (an open source machine learning framework)
    # I choose version 2.1.0 because it is stable and compatible with CUDA 10.1 Toolkit and cuDNN 7.6

    pip3 install --user tensorflow-gpu==2.1.0
    sudo pip3 install --user tensorflow-gpu==2.1.0
  11. @Mahedi-61 Mahedi-61 revised this gist Mar 19, 2020. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion cuda_10.1_installation_on_Ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -65,6 +65,6 @@ nvidia-smi
    nvcc -V

    # install Tensorflow (an open source machine learning framework)
    # I choose version 1.13.1 because it is stable and compatible with CUDA 10.0 Toolkit and cuDNN 7.5
    # I choose version 2.1.0 because it is stable and compatible with CUDA 10.1 Toolkit and cuDNN 7.6

    pip3 install --user tensorflow-gpu==2.1.0
  12. @Mahedi-61 Mahedi-61 renamed this gist Mar 19, 2020. 1 changed file with 13 additions and 13 deletions.
    26 changes: 13 additions & 13 deletions cuda_10.0_installation_on_Ubuntu_18.04 → cuda_10.1_installation_on_Ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,5 +1,5 @@
    #!/bin/bash
    ## This gist contains step by step instructions to install cuda v10.0 and cudnn 7.5 in Ubuntu 18.04
    ## This gist contains instructions about cuda v10.1 and cudnn 7.6 installation in Ubuntu 18.04 for Tensorflow 2.1.0

    ### steps ####
    # verify the system has a cuda-capable gpu
    @@ -36,29 +36,29 @@ sudo add-apt-repository ppa:graphics-drivers/ppa
    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list

    # installing CUDA-10.0
    sudo apt-get -o Dpkg::Options::="--force-overwrite" install cuda-10-0 cuda-drivers
    # installing CUDA-10.1
    sudo apt-get -o Dpkg::Options::="--force-overwrite" install cuda-10-1 cuda-drivers


    # setup your paths
    echo 'export PATH=/usr/local/cuda-10.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    echo 'export PATH=/usr/local/cuda-10.1/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc
    sudo ldconfig

    # install cuDNN v7.5
    # install cuDNN v7.6
    # in order to download cuDNN you have to be regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v7.5 form https://developer.nvidia.com/cudnn
    # then download cuDNN v7.6 form https://developer.nvidia.com/cudnn

    CUDNN_TAR_FILE="cudnn-10.0-linux-x64-v7.5.0.56"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.5.0.56/prod/10.0_20190219/cudnn-10.0-linux-x64-v7.5.0.56.tgz
    CUDNN_TAR_FILE="cudnn-10.1-linux-x64-v7.6.5.32.tgz"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.5.32/Production/10.1_20191031/cudnn-10.1-linux-x64-v7.6.5.32.tgz
    tar -xzvf ${CUDNN_TAR_FILE}


    # copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-10.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-10.0/lib64/
    sudo chmod a+r /usr/local/cuda-10.0/lib64/libcudnn*
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-10.1/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-10.1/lib64/
    sudo chmod a+r /usr/local/cuda-10.1/lib64/libcudnn*

    # Finally, to verify the installation, check
    nvidia-smi
    @@ -67,4 +67,4 @@ nvcc -V
    # install Tensorflow (an open source machine learning framework)
    # I choose version 1.13.1 because it is stable and compatible with CUDA 10.0 Toolkit and cuDNN 7.5

    pip3 install --user tensorflow-gpu==1.13.1
    pip3 install --user tensorflow-gpu==2.1.0
  13. @Mahedi-61 Mahedi-61 revised this gist Dec 27, 2019. No changes.
  14. @Mahedi-61 Mahedi-61 revised this gist Aug 11, 2019. 1 changed file with 1 addition and 9 deletions.
    10 changes: 1 addition & 9 deletions cuda_10.0_installation_on_Ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -30,24 +30,16 @@ sudo apt-get upgrade
    # install other import packages
    sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev

    # CUDA 9 requires gcc 6
    sudo apt install gcc-6
    sudo apt install g++-6

    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa
    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list


    # installing CUDA-10.0
    sudo apt-get -o Dpkg::Options::="--force-overwrite" install cuda-10-0 cuda-drivers



    # set up symlinks for gcc/g++
    sudo ln -s /usr/bin/gcc-6 /usr/local/cuda/bin/gcc
    sudo ln -s /usr/bin/g++-6 /usr/local/cuda/bin/g++

    # setup your paths
    echo 'export PATH=/usr/local/cuda-10.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
  15. @Mahedi-61 Mahedi-61 revised this gist Aug 10, 2019. 1 changed file with 2 additions and 3 deletions.
    5 changes: 2 additions & 3 deletions cuda_10.0_installation_on_Ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -36,7 +36,6 @@ sudo apt install g++-6

    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa

    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list

    @@ -50,8 +49,8 @@ sudo ln -s /usr/bin/gcc-6 /usr/local/cuda/bin/gcc
    sudo ln -s /usr/bin/g++-6 /usr/local/cuda/bin/g++

    # setup your paths
    echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    echo 'export PATH=/usr/local/cuda-10.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc
    sudo ldconfig

  16. @Mahedi-61 Mahedi-61 renamed this gist Aug 10, 2019. 1 changed file with 35 additions and 21 deletions.
    56 changes: 35 additions & 21 deletions cuda_installation_on_ubuntu_18.04 → cuda_10.0_installation_on_Ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,5 +1,5 @@
    #!/bin/bash
    ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04
    ## This gist contains step by step instructions to install cuda v10.0 and cudnn 7.5 in Ubuntu 18.04

    ### steps ####
    # verify the system has a cuda-capable gpu
    @@ -8,17 +8,24 @@
    # verify the installation
    ###

    ### If you have previous installation remove it first.
    sudo apt-get purge nvidia*
    sudo apt remove nvidia-*
    sudo rm /etc/apt/sources.list.d/cuda*
    sudo apt-get autoremove && sudo apt-get autoclean
    sudo rm -rf /usr/local/cuda*


    ### to verify your gpu is cuda enable check
    lspci | grep -i nvidia

    ### gcc compiler is required for development using the cuda toolkit. to verify the version of gcc install enter
    gcc --version

    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa
    # system update
    sudo apt-get update
    sudo apt-get upgrade

    # install nvidia driver
    sudo apt install nvidia-384 nvidia-384-dev

    # install other import packages
    sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev
    @@ -27,17 +34,16 @@ sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev lib
    sudo apt install gcc-6
    sudo apt install g++-6

    # downoad one of the "runfile (local)" installation packages from cuda toolkit archive
    wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run
    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa

    sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list


    sudo apt-get -o Dpkg::Options::="--force-overwrite" install cuda-10-0 cuda-drivers

    # make the download file executable
    chmod +x cuda_9.0.176_384.81_linux.run
    sudo ./cuda_9.0.176_384.81_linux.run --override

    # answer following questions while installation begin
    # You are attempting to install on an unsupported configuration. Do you wish to continue? y
    # Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? n
    # Install the CUDA 9.0 Toolkit? y

    # set up symlinks for gcc/g++
    sudo ln -s /usr/bin/gcc-6 /usr/local/cuda/bin/gcc
    @@ -47,19 +53,27 @@ sudo ln -s /usr/bin/g++-6 /usr/local/cuda/bin/g++
    echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc
    sudo ldconfig

    # install cuDNN v7.2
    # install cuDNN v7.5
    # in order to download cuDNN you have to be regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v7.2 form https://developer.nvidia.com/cudnn
    CUDNN_TAR_FILE="cudnn-9.0-linux-x64-v7.2.1.38"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.2.1/prod/9.0_20180806/${CUDNN_TAR_FILE}
    # then download cuDNN v7.5 form https://developer.nvidia.com/cudnn

    CUDNN_TAR_FILE="cudnn-10.0-linux-x64-v7.5.0.56"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.5.0.56/prod/10.0_20190219/cudnn-10.0-linux-x64-v7.5.0.56.tgz
    tar -xzvf ${CUDNN_TAR_FILE}


    # copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
    sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-10.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-10.0/lib64/
    sudo chmod a+r /usr/local/cuda-10.0/lib64/libcudnn*

    # Finally, to verify the installation, check
    nvidia-smi
    nvcc -V

    # install Tensorflow (an open source machine learning framework)
    # I choose version 1.13.1 because it is stable and compatible with CUDA 10.0 Toolkit and cuDNN 7.5

    pip3 install --user tensorflow-gpu==1.13.1
  17. @Mahedi-61 Mahedi-61 revised this gist Oct 10, 2018. 1 changed file with 4 additions and 4 deletions.
    8 changes: 4 additions & 4 deletions cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -31,8 +31,8 @@ sudo apt install g++-6
    wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run

    # make the download file executable
    chmod +x cuda_9.0.176_384.81_linux-run
    sudo ./cuda_9.0.176_384.81_linux-run --override
    chmod +x cuda_9.0.176_384.81_linux.run
    sudo ./cuda_9.0.176_384.81_linux.run --override

    # answer following questions while installation begin
    # You are attempting to install on an unsupported configuration. Do you wish to continue? y
    @@ -49,7 +49,7 @@ echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.b
    source ~/.bashrc

    # install cuDNN v7.2
    # in order to download cuDNN you have to regeistered here https://developer.nvidia.com/developer-program/signup
    # in order to download cuDNN you have to be regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v7.2 form https://developer.nvidia.com/cudnn
    CUDNN_TAR_FILE="cudnn-9.0-linux-x64-v7.2.1.38"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.2.1/prod/9.0_20180806/${CUDNN_TAR_FILE}
    @@ -60,6 +60,6 @@ sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
    sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*

    # finally, to verify the installation, check
    # Finally, to verify the installation, check
    nvidia-smi
    nvcc -V
  18. @Mahedi-61 Mahedi-61 revised this gist Aug 13, 2018. 1 changed file with 8 additions and 11 deletions.
    19 changes: 8 additions & 11 deletions cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,13 +1,11 @@
    #!/bin/bash
    ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.1 in ubuntu 18.04
    ## see official guide: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
    ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04

    ### steps ####
    # verify the system has a cuda-capable gpu
    # verify the system has gcc installed
    # download and install the nvidia cuda toolkit and cudnn
    # setup environment variables
    # verify the system
    # setup environmental variables
    # verify the installation
    ###

    ### to verify your gpu is cuda enable check
    @@ -50,19 +48,18 @@ echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc

    # install cuDNN v7.1
    # install cuDNN v7.2
    # in order to download cuDNN you have to regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v7.1 form https://developer.nvidia.com/cudnn
    CUDNN_TAR_FILE="cudnn-9.0-linux-x64-v7.1"
    wget http://developer.download.nvidia.com/compute/redist/cudnn/v7.1/${CUDNN_TAR_FILE}
    # then download cuDNN v7.2 form https://developer.nvidia.com/cudnn
    CUDNN_TAR_FILE="cudnn-9.0-linux-x64-v7.2.1.38"
    wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.2.1/prod/9.0_20180806/${CUDNN_TAR_FILE}
    tar -xzvf ${CUDNN_TAR_FILE}

    # copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
    sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*

    # to verify the system, check
    # finally, to verify the installation, check
    nvidia-smi
    nvcc -V

  19. @Mahedi-61 Mahedi-61 revised this gist Jul 24, 2018. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -62,7 +62,7 @@ sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
    sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*

    # to verify the system, type
    # to verify the system, check
    nvidia-smi
    nvcc -V

  20. @Mahedi-61 Mahedi-61 revised this gist Jul 24, 2018. 1 changed file with 8 additions and 7 deletions.
    15 changes: 8 additions & 7 deletions cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,18 +1,16 @@
    #!/bin/bash
    ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.1 in ubuntu 18.04
    ## official guide: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
    ## see official guide: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html

    ### steps ####
    # verify the system has a cuda-capable gpu
    # verify the system has gcc installed
    # download and install the nvidia cuda toolkit
    # download cudnn
    # download and install the nvidia cuda toolkit and cudnn
    # setup environment variables
    # verify the system
    ###

    ### checking your NVIDIA gpu is cuda enable or not got to https://developer.nvidia.com/cuda-gpus
    ### to verify your gpu is cuda enable enter in to the comman line
    ### to verify your gpu is cuda enable check
    lspci | grep -i nvidia

    ### gcc compiler is required for development using the cuda toolkit. to verify the version of gcc install enter
    @@ -38,7 +36,7 @@ wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.
    chmod +x cuda_9.0.176_384.81_linux-run
    sudo ./cuda_9.0.176_384.81_linux-run --override

    # Answer questions following while installation begin
    # answer following questions while installation begin
    # You are attempting to install on an unsupported configuration. Do you wish to continue? y
    # Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? n
    # Install the CUDA 9.0 Toolkit? y
    @@ -59,9 +57,12 @@ CUDNN_TAR_FILE="cudnn-9.0-linux-x64-v7.1"
    wget http://developer.download.nvidia.com/compute/redist/cudnn/v7.1/${CUDNN_TAR_FILE}
    tar -xzvf ${CUDNN_TAR_FILE}

    #copy the following files into the cuda toolkit directory.
    # copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
    sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*

    # to verify the system, type
    nvidia-smi
    nvcc -V

  21. @Mahedi-61 Mahedi-61 revised this gist Jul 9, 2018. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,5 +1,5 @@
    #!/bin/bash
    ## This gist is a step by step instructions to install cuda v9.0 and cudnn 7.1 on ubuntu 18.04
    ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.1 in ubuntu 18.04
    ## official guide: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html

    ### steps ####
  22. @Mahedi-61 Mahedi-61 revised this gist Jul 9, 2018. 1 changed file with 20 additions and 0 deletions.
    20 changes: 20 additions & 0 deletions cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,3 +1,23 @@
    #!/bin/bash
    ## This gist is a step by step instructions to install cuda v9.0 and cudnn 7.1 on ubuntu 18.04
    ## official guide: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html

    ### steps ####
    # verify the system has a cuda-capable gpu
    # verify the system has gcc installed
    # download and install the nvidia cuda toolkit
    # download cudnn
    # setup environment variables
    # verify the system
    ###

    ### checking your NVIDIA gpu is cuda enable or not got to https://developer.nvidia.com/cuda-gpus
    ### to verify your gpu is cuda enable enter in to the comman line
    lspci | grep -i nvidia

    ### gcc compiler is required for development using the cuda toolkit. to verify the version of gcc install enter
    gcc --version

    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa

  23. @Mahedi-61 Mahedi-61 revised this gist Jul 9, 2018. 1 changed file with 2 additions and 2 deletions.
    4 changes: 2 additions & 2 deletions cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -1,7 +1,7 @@
    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa

    # install nvidai driver
    # install nvidia driver
    sudo apt install nvidia-384 nvidia-384-dev

    # install other import packages
    @@ -29,7 +29,7 @@ sudo ln -s /usr/bin/g++-6 /usr/local/cuda/bin/g++

    # setup your paths
    echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bash.rc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc

    # install cuDNN v7.1
  24. @Mahedi-61 Mahedi-61 revised this gist Jun 3, 2018. 1 changed file with 12 additions and 0 deletions.
    12 changes: 12 additions & 0 deletions cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -32,4 +32,16 @@ echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bash.rc
    source ~/.bashrc

    # install cuDNN v7.1
    # in order to download cuDNN you have to regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v7.1 form https://developer.nvidia.com/cudnn
    CUDNN_TAR_FILE="cudnn-9.0-linux-x64-v7.1"
    wget http://developer.download.nvidia.com/compute/redist/cudnn/v7.1/${CUDNN_TAR_FILE}
    tar -xzvf ${CUDNN_TAR_FILE}

    #copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
    sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*


  25. @Mahedi-61 Mahedi-61 created this gist Jun 3, 2018.
    35 changes: 35 additions & 0 deletions cuda_installation_on_ubuntu_18.04
    View file
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,35 @@
    # first get the PPA repository driver
    sudo add-apt-repository ppa:graphics-drivers/ppa

    # install nvidai driver
    sudo apt install nvidia-384 nvidia-384-dev

    # install other import packages
    sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev

    # CUDA 9 requires gcc 6
    sudo apt install gcc-6
    sudo apt install g++-6

    # downoad one of the "runfile (local)" installation packages from cuda toolkit archive
    wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run

    # make the download file executable
    chmod +x cuda_9.0.176_384.81_linux-run
    sudo ./cuda_9.0.176_384.81_linux-run --override

    # Answer questions following while installation begin
    # You are attempting to install on an unsupported configuration. Do you wish to continue? y
    # Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? n
    # Install the CUDA 9.0 Toolkit? y

    # set up symlinks for gcc/g++
    sudo ln -s /usr/bin/gcc-6 /usr/local/cuda/bin/gcc
    sudo ln -s /usr/bin/g++-6 /usr/local/cuda/bin/g++

    # setup your paths
    echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bash.rc
    source ~/.bashrc