PyTorch* Prerequisites for Intel GPUs

For RPM-based distributions such as Red Hat Enterprise Linux Server, YUM is the usual choice. You’ll need to configure YUM to install software packages that aren’t available in the default repositories. These instructions show how to add access to the appropriate Intel repository, along with the public key used to authenticate the downloaded packages.
 

1. Create an Intel YUM repository information file and move it to the YUM configuration directory:

   
   tee > /tmp/intel-for-pytorch-gpu-dev.repo << EOF
   [intel-for-pytorch-gpu-dev]
   name=Intel for Pytorch GPU dev repository
   baseurl=https://yum.repos.intel.com/intel-for-pytorch-gpu-dev
   enabled=1
   gpgcheck=1
   repo_gpgcheck=1
   gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
   EOF
   
   sudo mv /tmp/intel-for-pytorch-gpu-dev.repo /etc/yum.repos.d
   

2. Use YUM to install the Intel development support package:

   
   sudo yum install intel-for-pytorch-gpu-dev-0.5

For SUSE Linux Enterprise Server distributions, Zypper is the usual choice. You’ll need to configure Zypper to install software packages that aren’t available in the default repositories. These instructions show how to add access to the appropriate Intel repository, along with the public key used to authenticate the downloaded packages.
 

1. The Zypper package manager uses the same rpm packages used by YUM, so add the Intel YUM repository:

   
   sudo zypper addrepo https://yum.repos.intel.com/intel-for-pytorch-gpu-dev intel-for-pytorch-gpu-dev
   

2. If Zypper was unable to automatically import the Intel repository's public key, use RPM to manually import the key:

   
   rpm --import https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
   

3. Use Zypper to install the Intel development support package:

   
   sudo zypper install intel-for-pytorch-gpu-dev-0.5
   

For Debian-based Linux distributions such as Ubuntu Server, APT is the usual choice. You’ll need to configure APT to install software packages that aren’t available in the default repositories. These instructions show how to add access to the appropriate Intel repository, along with the public key used to authenticate the downloaded packages.
 

1. Make sure the necessary tools to add repository access are available:

   
   sudo apt update
   sudo apt install -y gpg-agent wget
   

2. Download the Intel APT repository’s public key and put it into the /usr/share/keyrings directory:

   
   wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
   | gpg --dearmor > /tmp/intel-for-pytorch-gpu-dev-keyring.gpg
   
   sudo mv /tmp/intel-for-pytorch-gpu-dev-keyring.gpg /usr/share/keyrings
   

3. Configure the APT client to add the Intel repository and its key:

   
   echo "deb [signed-by=/usr/share/keyrings/intel-for-pytorch-gpu-dev-keyring.gpg] https://apt.repos.intel.com/intel-for-pytorch-gpu-dev all main" > /tmp/intel-for-pytorch-gpu-dev.list
   
   sudo mv /tmp/intel-for-pytorch-gpu-dev.list /etc/apt/sources.list.d
   

4. Update the APT client package list and repository index:

   
   sudo apt update
   

5. Use APT to install the Intel development support package:

   
   sudo apt install intel-for-pytorch-gpu-dev-0.5
   

Instead of using a package manager, you can install the Intel development package using an offline installation script. The installation script is a file containing all the needed files together with a script that extracts and installs the development package.

IMPORTANT: Use sudo to install files in system directories so they're available globally. Without sudo, files are installed in the current user's home directory.
 

1. Make sure the necessary tools are available:

   
   sudo apt update
   sudo apt install -y wget
   

2. Download and install the Intel GPU dependencies for PyTorch development installation script:

   
   cd /tmp
   
   wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/a8532c15-864f-4eac-88f2-a5c7e7998bbd/l_intel-for-pytorch-gpu-dev_p_0.5.2.18_offline.sh
   
   sh ./l_intel-for-pytorch-gpu-dev_p_0.5.2.18_offline.sh