The recording for the first µTVM meeting is now online. Thank you to everyone
who participated. https://youtu.be/e4fBMDfBjpk
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Closed #7991.
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It's been about a week since we launched the new TVM Community discord server.
The server will pilot for two more weeks, after which we will again seek
feedback from the community about if we should continue using it for
synchronous, nonofficial discussion. After that time period if the commun
The vote on the new RFC process has completed, with [18 votes to
accept.](https://github.com/apache/tvm/issues/7991#issuecomment-848321079) In
accordance with lazy consensus, the new process is in effect. As new RFCs are
posted to the forum, I will add reminders to prepare a pull request to
f
# Background
Currently, given a ML model primarily TVM will generate two main artifacts :
* A1 : Description of the sequential execution of operators :
1. If the "executor" is "graph", this would be a JSON
2. if the "executor" is "aot", this would be a main function describing call
graph o
