TVM Community Survey

Hi everyone,

I’m putting together a short survey of TVM developers and users to help us to get a general understanding of what the community is using TVM for and directions for the roadmap to take. I’ve put together a set of questions, and would like your feedback on them. This is an open community survey, so all of the data and results will be available for analysis and review. Thanks for taking your time to look over these. If you have comments, you can leave them here or in this Google doc.

Please identify your experience with using TVM in production.

  • [ ] I am new to TVM.
  • [ ] I am currently exploring using TVM to optimize models.
  • [ ] I am actively using TVM in production.

Please identify your development experience in the TVM Community

  • [ ] I am new to the TVM community.
  • [ ] I have contributed to TVM through code or reviews.
  • [ ] I am a TVM project Reviewer
  • [ ] I am a TVM project Committer
  • [ ] I am a TVM PMC

What platforms are you using TVM for?

  • [ ] X86 CPU
  • [ ] ARM CPU
  • [ ] Other CPU
  • [ ] NVidia GPU
  • [ ] AMD GPU
  • [ ] Other GPU
  • [ ] Embedded Platform

What sort of models are you optimizing?

  • [ ] Image processing models
  • [ ] Audio processing models
  • [ ] Language models
  • [ ] Other

What platforms are you importing models from?

  • [ ] ONNX
  • [ ] PyTorch
  • [ ] TensorFlow
  • [ ] MXNet
  • [ ] Other

Which APIs are you directly using with TVM?

  • [ ] C++
  • [ ] Python
  • [ ] Rust
  • [ ] Go Lang
  • [ ] Other

What aspects of TVM do you find easy to use?

Where do you feel that TVM could be improved?

What are you most excited about with TVM?

Any other comments?

We are using TVM for DSA NPU, can you add one option, thanks!

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Thanks for the efforts. I left some comments in the doc. In addition, I’m wondering if we could add a text box to all “other” options so that people can specify what they really have.

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