Update DeepRVAT environment #151
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-update pytorch, pytorch-lightening packages
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What
This PR updates the
deeprvat_env.yamlanddeeprvat_env_no_gpu.yamlprovided environment files. Specifically, updating the PyTorch and PyTorch-Lightning packs to 2.x versions.Due to the PyTorch updates, subsequent updates were required in the PyTorch Lightning
Trainerparameters, e.g. specified underpl_trainerin the respective config.yaml ,as well as, in theBaseModel.This PR also addresses Issue #16 , and both Conda and Mamba can now correctly compile cuda with the provided
deeprvat_env.yamlfile. Note: It is still recommended by the developers to use Mamba due to speed in solving the environment over Conda, e.g.mamba env create -n deeprvat -f ~/deeprvat_env.yamlTesting
Create the DeepRVAT environment from the .yaml file with various package managers and run the various DeepRVAT pipelines.