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Sometimes in a single workflow we might need to use a different python environment. A use case is for Intel MLPerf inference implementation where calibration step needs a different python environment. Currently this is tricky in CM workflow as we use --adr to update all python dependencies when we detect an environment.
The text was updated successfully, but these errors were encountered:
Migrated from mlcommons/mlperf-automations_archived#31
Originally created by @arjunsuresh on Fri, 15 Mar 2024 14:04:59 GMT
Sometimes in a single workflow we might need to use a different python environment. A use case is for Intel MLPerf inference implementation where calibration step needs a different python environment. Currently this is tricky in CM workflow as we use
--adr
to update all python dependencies when we detect an environment.The text was updated successfully, but these errors were encountered: