[Apache TVM Discuss] [Development/pre-RFC] [RFC] Visualizing Relay program as graph

any way to visualize optimized relay IR? this seems not working to visualize optimized relay IR. ``` opt_level = 4 target = tvm.target.Target('cuda') with tvm.transform.PassContext(opt_level=opt_level): mod,params = tvm.relay.optimize(mod,target,params=params) # visualize mod['main'] ```

[Apache TVM Discuss] [microTVM] No microTVM Community Meeting Feb 16

Hi all, We're a bit busy this week and haven't gotten the microTVM Community Meeting announcement out with enough time to collect ideas, so we'll skip this meeting and resume on Mar 2. Thanks, Andrew --- [Visit Topic](https://discuss.tvm.apache.org/t/no-microtvm-community-meeting-feb-16

[Apache TVM Discuss] [Development/pre-RFC] [RFC] Remove CODEOWNERS

# **Summary** Move `.github/CODEOWNERS` to `.github/CODEOWNERSHIP` to avoid triggering GitHub’s [automatic review requests](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners#about-code-owners). Add GitHub Acti

Re: [apache/tvm-rfcs] [RFC][BYOC] Marvell ML/AI Accelerator Integration (PR #48)

@ccjoechou sorry for the delay--i've gotten pretty busy with something and will hopefully have some bandwidth towards the end of the week. cc @jroesch @mbs-octoml in case they have cycles -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-rfcs/pull/48#issuecomme

Re: [apache/tvm-rfcs] [RFC][BYOC] Marvell ML/AI Accelerator Integration (PR #48)

@areusch: No worries. I saw lots TVM emails coming from you & others working on other also important stuffs. We will wait for your feedback. -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-rfcs/pull/48#issuecomment-1040923708 You are receiving this because you