![]() ![]() ![]() After the toolkit is installed, before accessing the tools, you must activate your python environment and set up environment variables to access the tools. You can also create an AI Kit Modin and machine learning environment named aikit-modin: conda create -n aikit-modin -c intel intel-aikit-modin To prevent permission errors, do not launch the installer from the Favorites folder. Similarly, you can create an AI Kit PyTorch environment named aikit-pt: conda create -n aikit-pt -c intel intel-aikit-pytorch Last Updated: JHow to Add Packages in Anaconda Python If you work with Anaconda Python, you’re probably already familiar with the fact that Conda and Anaconda Navigator are package managers that can be used to add packages to your Anaconda/Conda environments. Go to your Downloads folder and double-click the installer to launch. If the repository contains the desired version, create an AI Kit Tensorflow* environment named aikit-tf with this version: conda create -n aikit-tf -c intel intel-aikit-tensorflow The conda list command can give you basic details about installed packages, but it doesnt include author and license info. Unlike pip, conda is also an environment manager similar to virtualenv. ![]() Using an environment file Using environment variables. Overview Conda is an open source package manager similar to pip that makes installing packages and their dependencies easier. If the repo contains an outdated version of a required component, get a newer one by installing via the command line or GUI. Unfortunately, conda doesnt have a built-in way to list the author and license information for specific packages in an environment. Installing packages, plugins, and extensions Package managers. Not all packages in the Anaconda repository are up to date with the current release. A list of available packages is located at. Install the AI Kit oneAPI packages in a new environment using conda create. Link is what is being installed in place of the package that is unlinked. You can sort your packages to be installed by Name, Unlink, Link, and Channel. For more information on this, see our FAQ entry on the subject. Select the name of the package you want to install. To instal the AI Kit via Conda, complete the following steps:Īctivate your existing python conda environment located in : source /bin/activate Tips on Creating Environments conda install command, can cause installation failures due to incompatible packages already installed in the environment. However, to manage your own packages and environments, you’ll currently need to connect an external Python distribution (such as Anaconda, Miniconda, Miniforge/Mambaforge, WinPython or ) to your standalone copy of Spyder. To get the latest version of the Intel(R) Optimization for TensorFlow*, you must first install Python 3.9, then install the AI Kit through Anaconda. ![]()
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