-----Original Message----- From: nore...@discuss.tvm.ai <nore...@discuss.tvm.ai> Sent: Wednesday, June 23, 2021 11:11 AM To: tvm.archi...@gmail.com Subject: [EXT] [Apache TVM Discuss] [Application] TVM Community Survey
External Email ---------------------------------------------------------------------- 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](https://urldefense.proofpoint.com/v2/url?u=https-3A__docs.google.com_document_d_1Ov9LaPCYVuc5GnGHniFnVpPP1hWEPnmb-2D9ESVDoy1iQ_edit-3Fusp-3Dsharing&d=DwICaQ&c=nKjWec2b6R0mOyPaz7xtfQ&r=84zI-iH2xz28Q_xujSGbjYaq38CgcRgl_vGzCtF6TwQ&m=wA2Vu8OXbJyLS-t2l3_L9SvS05CNdjmfRvknHBkow9Y&s=UvJEpW7f0_v7wa-VjIOvCcsGfaeHajZ8nqD4QqyY2xM&e= ). Please identify your experience with using TVM in production. - [ ] I am new to TVM. - [x ] 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 - [x ] 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? - [x ] X86 CPU - [x ] ARM CPU - [ ] Other CPU - [x ] NVidia GPU - [x ] AMD GPU - [ ] Other GPU - [x ] Embedded Platform What sort of models are you optimizing? - [x ] Image processing models - [ ] Audio processing models - [ ] Language models - [x ] Other What platforms are you importing models from? - [x ] ONNX - [ ] PyTorch - [x ] TensorFlow - [x ] MXNet - [ ] Other Which APIs are you directly using with TVM? - [x ] C++ - [x ] Python - [ ] Rust - [ ] Go Lang - [ ] Other What aspects of TVM do you find easy to use? ** Integrating user level python packages and ML python frameworks to run, say, target=llvm inference to get results as well as per-layer (or per fused op) related performance numbers Where do you feel that TVM could be improved? ** TVM "Internal" development related documentations ** NOTE: TVM stacks and sub-components, plus, communications between them are complex. To enable user and domain-specific TVM-specialization developer to fully utilize TVM stacks & sub-components and to extend from current TVM codebase, respectively, IMO getting up to speed faster becomes the key. What are you most excited about with TVM? ** People are really using TVM. TVM's Python integration make prototyping of domain-specific TVM specializations much easier. Once the AOT flow becomes stable, it can be used for production. Any other comments? ** Thanks so many people make TVM available as it is now. --- [Visit Topic](https://urldefense.proofpoint.com/v2/url?u=https-3A__discuss.tvm.apache.org_t_tvm-2Dcommunity-2Dsurvey_10305_1&d=DwICaQ&c=nKjWec2b6R0mOyPaz7xtfQ&r=84zI-iH2xz28Q_xujSGbjYaq38CgcRgl_vGzCtF6TwQ&m=wA2Vu8OXbJyLS-t2l3_L9SvS05CNdjmfRvknHBkow9Y&s=4RmR4q_yshSgBZ8e8FTTb2az4wz71PiJA5lPiw0xucQ&e= ) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://urldefense.proofpoint.com/v2/url?u=https-3A__discuss.tvm.apache.org_email_unsubscribe_2ef1423fab135d4e2c806455c9af750bd5c92ab0cbf6024d4ae1e1f70a2a96e6&d=DwICaQ&c=nKjWec2b6R0mOyPaz7xtfQ&r=84zI-iH2xz28Q_xujSGbjYaq38CgcRgl_vGzCtF6TwQ&m=wA2Vu8OXbJyLS-t2l3_L9SvS05CNdjmfRvknHBkow9Y&s=sd0cHgrEOihIJbQOU4-GpQK8KtwkFhtAv8JUQ04qa4M&e= ). --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@tvm.apache.org For additional commands, e-mail: dev-h...@tvm.apache.org
