gyenesvi commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2102803235
Great, thank you!
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tqchen commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2102706022
Leaving it open for another week in case others want to chime in, otherwise
LGTM
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gyenesvi commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2102668139
Thanks for the info about the schedules and differences, it makes sense.
As for moving on, what would be the next step now? Do you need any other
info from us for reviewing?
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tqchen commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2102587457
I think the main reason here was relay default incorporate autotuning by
default, while Relax dos not. The main rationale as of now is we would like to
choose to decouple metaschedule
agoston-mc commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2100973263
We have updated the PR with Relax frontend, but we have also kept the Relay,
as an option, thinking it could be useful to have both, because we noticed
performance differences during
tqchen commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2058952581
Thanks for the note. We are in the process of revamping docs. The latest set
of emerging model optimizations like LLMs will be based on relax.
gyenesvi commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2058579469
Hi,
> as a community we recently moves towards the relax IR for latest genAI
workloads
Thanks for directing us towards Relax. I guess that means that new frontends
should
tqchen commented on PR #108:
URL: https://github.com/apache/tvm-rfcs/pull/108#issuecomment-2053701317
Thanks for the proposal, as a community we recently moves towards the relax
IR for latest genAI workloads, additionally, it is unclear how much adoption
NNEF have as of now versus ONNX and
