- Ubuntu18.04 with python 3.8
- CUDA 11.3
- Pytorch 1.12.1
- Scripts for data downloading require
rsync
andaria2
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prepare conda environment with installing all python dependencies (it takes a few minutes)
conda env create --name=solvent -f environment.yml conda activate solvent
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pip install ninja pip install -v -U git+https://github.com/facebookresearch/xformers.git@b31f4a1#egg=xformers pip install -U --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/ triton-nightly
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installation via apt-get
sudo apt-get update sudo apt-get install aria2 rsync
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Download folding resources. Downloaded at solvent/resources
bash datasets/download_chemical_props.sh
-
build solvent with compiling Openfold's CUDA kernel
python setup.py install
- Download and build TM-score program and locate at TMscore/
# expected program structure TMscore/ TMscore TMscore.cpp