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When there is a big numpy version bump (1.21.2 -> 2.0.0),
pip install
will somehow automatically upgrade numpy version to 2.0.0 even when the old version (1.21.2) has been installed.Therefore, we have to hardcode numpy version both globally and for the models whose install will cause numpy to unexpectedly upgrade. Since downstream CI supports Python 3.8 as the lowest supported Python version, we have to pin numpy version to the lowest version used in the downstream CI.