Details
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Type:
RFC
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Status: Implemented
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Resolution: Done
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Component/s: DM
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Labels:None
Description
AP needs to apply trained machine-learned models in order to provide the required spuriousness scores for DIASources. We have prototype models now ready for deployment in Science Pipelines, but to do so we need to have pytorch added to the default conda environment.
As discussed in https://jira.lsstcorp.org/browse/RFC-865, pytorch appears to solve successfully with the current rubin-env version.
Flagging for the DM-CCB.