DPACMAN / h100_env.yaml
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# reasons you might want to use `environment.yaml` instead of `requirements.txt`:
# - pip installs packages in a loop, without ensuring dependencies across all packages
# are fulfilled simultaneously, but conda achieves proper dependency control across
# all packages
# - conda allows for installing packages without requiring certain compilers or
# libraries to be available in the system, since it installs precompiled binaries
# in case of errors look here: https://pytorch.org/get-started/previous-versions/
name: dnabind2
channels:
- conda-forge
- defaults
- nvidia # GH200
- pytorch
# it is strongly recommended to specify versions of packages installed through conda
# to avoid situation when version-unspecified packages install their latest major
# versions which can sometimes break things
# current approach below keeps the dependencies in the same major versions across all
# users, but allows for different minor and patch versions of packages where backwards
# compatibility is usually guaranteed
dependencies:
- python=3.10
- dask[complete]
- pip>=23
- lightning=2.5.1
- cudnn=9.10.2.21
- torchmetrics=0.11.4
- pip:
- torch==2.6.0+cu124
- rootutils==1.0.7
- hydra-core==1.3.2 # Hydra for config management
- hydra-colorlog==1.2.0 # Allow colorful logging in Hydra
- omegaconf==2.3.0 # Required by hydra-core
- pandas==2.2.3
- lxml==5.3.0
- pymex==0.9.31
- gitpython==3.1.44
- black==25.1.0 # code formatter
- tqdm==4.67.1
- matplotlib==3.10.3
- transformers==4.55.2
- huggingface_hub==0.34.4
- biopython==1.85
- ortools==9.14.6206
- fair-esm==2.0.0
- scikit-learn==1.7.1
- rich==14.1.0
- wandb==0.21.1
- --extra-index-url https://download.pytorch.org/whl/cu124
- -e .
# conda install -c nvidia -c conda-forge cuda-toolkit=12.4 ninja cmake -y
# use the toolkit inside the conda env
#export CUDA_HOME="$CONDA_PREFIX"
#export PATH="$CUDA_HOME/bin:$PATH"
#export LD_LIBRARY_PATH="$CUDA_HOME/lib64:$LD_LIBRARY_PATH"
# recommended by many CUDA builds
#export CUDACXX="$CUDA_HOME/bin/nvcc"
#which nvcc && nvcc -V # should now show 12.4 under $CONDA_PREFIX/bin/nvcc
#pip install --no-build-isolation mamba_ssm