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We should consider allowing users to alternatively specify a conda environment (using the conda parameter for runtime_env) as opposed to a list of dependencies to install via pip.
This would be useful in particular for HPC environments running on non-standard architectures (where installing via pip can be tricky).
The text was updated successfully, but these errors were encountered:
What is the expected enhancement?
We currently allow users to specify a list of dependencies to pass to their program: https://github.com/Qiskit-Extensions/quantum-serverless/blob/841db743ff3334fa95e277c53093e30bd0a441d7/gateway/api/ray.py#L104
We should consider allowing users to alternatively specify a conda environment (using the
conda
parameter forruntime_env
) as opposed to a list of dependencies to install via pip.This would be useful in particular for HPC environments running on non-standard architectures (where installing via pip can be tricky).
The text was updated successfully, but these errors were encountered: