After reading the nimble paper, I would like to ask about 3.5 Symbolic Codegen:
1. How to combine autotvm and nimble? Does the model template and search space
need to be reduced by human control? How to find the top 100 schedulers?
2. Can ansor and nimble be combined? If so, how can it be realiz
Most of the part related to VM is already pushed into the TVM. We are working
on a more systematic way for tuning with symbolic shapes.
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We first replace the symbolic dimension with a large constant (e.g., 64, 128)
and use the standard AutoTVM tuning to search for the schedules. We observe
that the tuning on large sizes usually covers good schedules on other shapes.
After the tuning is done, we then choose the top 100 schedules
hello~ when will the Nimble add into the TVM to support dynamic input shape?
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