Installation¶
Prerequisites¶
Linux, macOS, Windows
Python ≥ 3.8
Provision a Virtual Environment¶
Create and activate a virtual environment (conda)
conda create --name ampligraph python=3.8
source activate ampligraph
Install TensorFlow 2¶
AmpliGraph 2.x is built on TensorFlow 2.
Install from pip or conda:
pip install "tensorflow>=2.9"
or
conda install tensorflow'>=2.9'
Install TensorFlow 2 for Mac OS M1 chip¶
conda install -c apple tensorflow-deps
pip install --user tensorflow-macos==2.10
pip install --user tensorflow-metal==0.6
In case of problems with installation refer to Tensorflow Plugin page on Apple developer site.
Install AmpliGraph¶
Install the latest stable release from pip:
pip install ampligraph
If instead you want the most recent development version, you can clone the repository and install from source as below (also see the How to Contribute guide for details):
git clone https://github.com/Accenture/AmpliGraph.git
cd AmpliGraph
git checkout ampligraph2/develop
pip install -e .
Sanity Check¶
>> import ampligraph
>> ampligraph.__version__
'2.0-dev'
Support for TensorFlow 1.x¶
For TensorFlow 1.x-compatible AmpliGraph, use AmpliGraph 1.x.