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We use conda to install required packages and recommend creating a new environment for the codebase:
conda create -n equiformer_v3 python=3.11 -c conda-forge conda activate equiformer_v3 -
Here we use CUDA 12.8 and install python packages as follows:
pip install torch==2.7.1 torchvision==0.22.1 torchaudio==2.7.1 --index-url https://download.pytorch.org/whl/cu128 pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.7.0+cu128.html pip install torch_geometric pip install -r experimental/env/conda_requirements.txt -
We install the
fairchempackage inside this repository by running:pip install -e packages/fairchem-core
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We install Matbench Discovery package by running:
git clone https://github.com/janosh/matbench-discovery.git cd matbench-discovery git checkout 375a8d6 pip install -e .