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mlcommons / ck

Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware

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Support multiple python virtual environment in a CM workflow

arjunsuresh opened this issue · comments

commented

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.