Local copy of mpich/ openmpi and link to it.Īnother point for using your own MPI binaries specialized for the system is that At runtime, the conda-forge package that depends on MPI should find the The local version matches the conda version within the proper ABI range, then this procedure should

$ conda install 'openmpi=x.y.z=external_*'Īs long as you have the local copies of the mpich/ openmpi library in your linking paths and These packages allow the conda solver to produceĬorrect environments while avoiding installing MPI binaries from conda-forge. Libraries that are simply shell packages with no contents. To solve these issues, conda-forge has created special dummy builds of the mpich and openmpi This setup often eitherĭoes not work at all or functions in unexpected ways on HPC systems. When you installĪ package from conda-forge that relies on MPI, conda will install the MPI binariesīuilt by conda-forge and the package will link to those binaries.

However, this practice creates issues for conda-forge users. These binaries are typically specialized for the system and interface properly with job MPI binaries that are available on the system as opposed to those built by conda-forge. On some high-performance computing (HPC) systems, users are expected to use the Using External Message Passing Interface (MPI) Libraries ¶ Just re-add it and activate strict for a smooth and stable experience when installing packages.

That is probably because you removed defaults, TL DR if you are experiencing missing compilers run-times like libgcc-ng, Instead, we removed everything that is not built in conda-forge and let strict pull those from defaults.

However, with the strict option, we no longer have to vendorize those (this led to its own set of problems), Like compilers run-times, to avoid the mixing channel problem. In the past conda-forge used to vendorize some of defaults dependencies that were not built in our infrastructure,

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