dualGNN/environment.yml at main · natemacfadden/dualGNN · GitHub

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# Conda environment for dualgnn_paper.
# Install: conda env create -f environment.yml
#
# Default torch is the cu130 CUDA build (includes Blackwell / sm_120).
# For a CPU-only torch, replace the cu130 index-url below with the CPU
# wheel index: https://download.pytorch.org/whl/cpu
name: dualgnn
channels:
  - conda-forge
dependencies:
  - python>=3.10
  - cython
  - numba
  - numpy
  - scipy
  - polars
  - matplotlib
  - jupyterlab
  - pytest
  - setuptools
  # native libs for CYTools (polytope arithmetic, lattice enumeration)
  - ppl
  - python-flint
  - normaliz
  - pip
  - pip:
    - pplpy
    - pypalp
    - regfans
    - git+https://github.com/LiamMcAllisterGroup/cytools.git
    - tensorboard
    # torch with Blackwell-supporting cu130 wheels (see top for CPU alt)
    - --index-url https://download.pytorch.org/whl/cu130
    - --extra-index-url https://pypi.org/simple
    - torch>=2.7
    - -e .