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Environment Setup

  1. 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
  2. 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
  3. We install the fairchem package inside this repository by running:

        pip install -e packages/fairchem-core
  4. 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 .