thomshaw92
commented
1 year ago I've gotten as far as writing the docker recipe. But stuck at a CUDA problem that is necessary to make wftfi work. https://github.com/thomshaw92/neurocontainers/tree/master/recipes/wftfi This is the error on build @stebo85
#15 211.8 python=3.8 -> libnsl[version='>=2.0.0,<2.1.0a0']The following specifications were found to be incompatible with your CUDA driver:
#15 211.8
#15 211.8 - cudatoolkit=11.0 -> __cuda[version='>=11|>=11.0']
#15 211.8
#15 211.8 Your installed CUDA driver is: not available
#15 211.8
#15 211.8 Note that strict channel priority may have removed packages required for satisfiability.
#15 211.8
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executor failed running [/bin/sh -c apt-get update -qq && apt-get install -y -q --no-install-recommends bzip2 ca-certificates curl && rm -rf /var/lib/apt/lists/* && export PATH="/opt/miniconda-4.7.12.1/bin:$PATH" && echo "Downloading Miniconda installer ..." && conda_installer="/tmp/miniconda.sh" && curl -fsSL -o "$conda_installer" https://repo.continuum.io/miniconda/Miniconda3-4.7ates curl && rm -rf /.12.1-Linux-x86_64.sh && bash "$conda_installer" -b -p /opt/miniconda-4.7.12.1 && rm -f "$conda_installer" && conda config --system --p="/tmp/miniconda.sh" && curl -fsrepend channels conda-forge && conda config --set channel_priority strict && conda config --system --set auto_update_conda false && cona-4.7.12.1 && rm -f "$conda_instda config --system --set show_channel_urls true && conda init bash && conda env create --name wfTFI --file /opt/wftfi/environment.yml -set auto_update_conda false &&
&& sync && conda clean --all --yes && sync && rm -rf ~/.cache/pip/*]: exit code: 1
Christof Boehm, Nico Sollmann, Jakob Meineke, Stefan Ruschke, Michael Dieckmeyer, Kilian Weiss, Claus Zimmer, Marcus R. Makowski, Thomas Baum & Dimitrios Karampinos, Preconditioned water-fat total field inversion: Application to spine quantitative susceptibility mapping (2022), https://doi.org/10.1002/mrm.28903
https://gitlab.com/christofboehm/wftfi