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src/grouping_trainer/launch.py

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The instance's startup script does bin/_startup.sh to set up the python env and then `eval`s an inputted command.
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Training jobs don't need to start in time, so by default they're launched async via flex-start w/ a max wait time of 1
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hour. Also saves some money.
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Training jobs don't need to start in time, so by default they're launched async via flex-start w/ a max wait time of 2
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hours. Also saves some money.
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Eval jobs (on cheap L4 GPUs) are launched by sync-looping through zones ourselves b/c eval ideally does start in time,
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e.g., training shouldn't start w/o an eval poller. L4s are cheap-enough that the flex-start discount isn't worth the

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