I encountered similar issue with HashTable for TensorFlow :
`NotImplementedError: The following operators are not implemented: {'DivNoNan',
'LookupTableImportV2', 'HashTableV2', 'AsString', 'StringToHashBucketFast',
'LookupTableFindV2', 'LookupTableSizeV2'}`
and then noticed this RFC discuss
Seems we all agree that introducing `DeclBuffer` is helpful. The only
unresolved question is how shall the TVMScript be updated as @wrongtest
mentioned. As discussed above, we have the options:
* B1: In TVMScript, `T.allocate` and `T.decl_buffer` strictly map to the
corresponding TIR nodes. To
Looks like we've got [Buffer Layout Padding
RFC](https://github.com/apache/tvm-rfcs/pull/77) on the agenda tomorrow. Hope
to see you there!
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this is on the agenda for tomorrow's [community
meeting](https://discuss.tvm.apache.org/t/next-tvm-community-meeting-june-8-2022/12900).
Perhaps we could discuss in higher bandwidth there?
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`GridSample` has become an ONNX Op since version 16
https://github.com/onnx/onnx/blob/main/docs/Operators.md#GridSample
and we already have a `GridSample` implementation
https://github.com/apache/tvm/pull/10504
maybe we should add this op in tvm
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I'm working on a prototype now. I want to iron out any additional issues
before we go on to discuss more details.
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A gentle ping to followup, to see if folks have additional thoughts. It might
be useful to start with the RAII solution as it is strictly better than what we
have now, then continue to improve.
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A gentle ping. Would be great to have a status checkin and let us move to make
this happen
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> > @leandron, looking at Docker Hub (https://hub.docker.com/_/hello-world) it
> > would appear the convention for image names is to use `-` there as well
> > (i.e. `tlcpack/ci-cpu` rather than `tlcpack/ci_cpu`) can we go for that one?
>
> Sure. I’ll push an updated version with this and @gromer
