Nightly or less-frequent runs make sense for docs, since nothing will be "on
fire" if a tutorial breaks (though they should still be fixed).
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## Background
This doc aims to discuss how we should do operator scheduling(and optionally
tuning) following the [TVM Core strategy for emerging
needs](https://discuss.tvm.apache.org/t/discuss-tvm-core-strategy-for-emerging-needs/15751).
Operator scheduling refers to the phase where we take h
in the past we use sphinx gallery to generate the notebooks. one balance to
play is that a lot of the notebooks are intergations that takes longer time to
run. Ideally we should bring some of them to separate pipeline that triggers
independently, or run as a nightly where the errors get covere
I like how we can leverage tensorization and keep most things within the
existing infrastructure. Would love to see how we can align some of the
scheduling support towards IRModule=>IRModule transformation in dlight style
mechanisms, so we can get even better composability.
I take sometime to w
