Develop fast neural networks on Intel® CPUs and GPUs with performance-optimized building blocks.
For the most current functional and security features, update to the latest version as it becomes available.
Develop fast neural networks on Intel® CPUs and GPUs with performance-optimized building blocks.
For the most current functional and security features, update to the latest version as it becomes available.
<your-env-name> with your preferred name for the environment:
conda create -n <your-env-name>
conda activate <your-env-name>
conda install -c https://software.repos.intel.com/python/conda/ -c conda-forge <package-name>
The following packages are available for installation:
onednn includes runtime onlyonednn-devel includes libraries, headers, and tools for dynamic linkingFor the next steps, see the Get Started Guide.
sudo apt update
sudo apt install -y gpg-agent wget
Set up the repository. To do this, download the key to the system keyring
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
sudo apt update
sudo apt install intel-oneapi-dnnl-devel
For the next steps, see the Get Started Guide.
Create the DNF repository file in the /temp directory as a normal user.
tee > /tmp/oneAPI.repo << EOF
[oneAPI]
name=Intel® oneAPI repository
baseurl=https://yum.repos.intel.com/oneapi
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/oneAPI.repo /etc/yum.repos.d
sudo dnf install intel-oneapi-dnnl-devel
For the next steps, see the Get Started Guide.
Create and activate a new conda environment, replacing <your-env-name> with your preferred name for the environment:
conda create -n <your-env-name>
conda activate <your-env-name>
conda install -c https://software.repos.intel.com/python/conda/ -c conda-forge <package-name>
The following packages are available for installation:
onednn includes runtime onlyonednn-devel includes libraries, headers, and tools for dynamic linkingFor the next steps, see the Get Started Guide.
Create and activate a virtual environment, replacing <your-env-name> with your preferred name for the environment:
python3.10 -m venv <your-env-name>
source <your-env-name>/bin/activate
sudo pip install <package-name>
The following packages are available for installation:
onednn includes runtime onlyonednn-devel includes libraries, headers, and tools for dynamic linkingFor the next steps, see the Get Started Guide.
Create and activate a virtual environment, replacing <your-env-name> with your preferred name for the environment:
python3.10 -m venv <your-env-name>
source <your-env-name>/bin/activate
sudo pip install <package-name>
The following packages are available for installation:
onednn includes runtime onlyonednn-devel includes libraries, headers, and tools for dynamic linkingFor the next steps, see the Get Started Guide.
spack install intel-oneapi-dnn
For more information, refer to Spack documentation.
For the next steps, see the Get Started Guide.
tee > /tmp/oneAPI.repo << EOF
[oneAPI]
name=Intel® oneAPI repository
baseurl=https://yum.repos.intel.com/oneapi
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/oneAPI.repo /etc/yum.repos.d
sudo yum install intel-oneapi-dnnl-devel
For the next steps, see the Get Started Guide.
Add the Intel oneAPI repository public key using the following command:
sudo zypper addrepo https://yum.repos.intel.com/oneapi oneAPI
sudo zypper install intel-oneapi-dnnl-devel
For the next steps, see the Get Started Guide.
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Step 1: From the console, locate the downloaded install file.
Step 2: Use $ sudo sh ./<installer>.sh to launch the GUI Installer as the root.
Optionally, use $ sh ./<installer>.sh to launch the GUI Installer as the current user.
Step 3: Follow the instructions in the installer.
Step 4: Explore the Get Started Guide.