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This PR resolves issue #380. To achieve this, I put a custom
nnunet
conda package, i.e.,nnunet-inference-on-cpu-and-gpu=1.6.6
on our khanlab channel and pull from it for creating conda env while runninghippunfold
. The issue was stemming from the version of pytorch used in building nnunet's conda package and after pinning it tov1.10.0
in its recipe, I was successfully able to get past therun_inference
rule. I just ran the pipeline with--untill run_inference
but ideally I'd like to run an entire end to end session before we merge.