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Installation.md

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Installation

We suggest to install or use the package in the Python virtual environment.

If you want to optimize a model from PyTorch, install PyTorch by following PyTorch installation guide. For other backend follow: TensorFlow installation guide, ONNX installation guide, OpenVINO installation guide.

As a PyPI package

NNCF can be installed as a regular PyPI package via pip:

pip install nncf

As a package built from a checked-out repository

Install the package and its dependencies by running the following command in the repository root directory:

pip install .

NB: For launching example scripts in this repository, we recommend setting the PYTHONPATH variable to the root of the checked-out repository once the installation is completed.

NNCF is also available via conda:

conda install -c conda-forge nncf

From a specific commit hash using pip

pip install git+https://github.com/openvinotoolkit/nncf@bd189e2#egg=nncf

Note that in order for this to work for pip versions >= 21.3, your Git version must be at least 2.22.

Corresponding versions

The following table lists the recommended corresponding versions of backend packages as well as the supported versions of Python:

NNCF OpenVINO PyTorch ONNX TensorFlow Python
develop 2024.4.0 2.4.0 1.16.0 2.15.1 3.10
2.13.0 2024.4.0 2.4.0 1.16.0 2.15.1 3.8*
2.12.0 2024.3.0 2.3.0 1.16.0 2.15.1 3.8*
2.11.0 2024.2.0 2.3.0 1.16.0 2.12.0 3.8
2.10.0 2024.1.0 2.2.1 1.16.0 2.12.0 3.8
2.9.0 2024.0.0 2.1.2 1.13.1 2.12.0 3.8
2.8.1 2023.3.0 2.1.2 1.13.1 2.12.0 3.8
2.8.0 2023.3.0 2.1.2 1.13.1 2.12.0 3.8
2.7.0 2023.2.0 2.1 1.13.1 2.12.0 3.8
2.6.0 2023.1.0 2.0.1 1.13.1 2.12.0 3.8
2.5.0 2023.0.0 1.13.1 1.13.1 2.11.1 3.8
2.4.0 2022.1.0 1.12.1 1.12.0 2.8.2 3.8

(*) Python 3.9 or higher is required for TensorFlow 2.15.1