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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2020/07/29 07:59:01 UTC

[GitHub] [incubator-tvm] wang-y-z commented on issue #2563: [RFC][μTVM] Bringing TVM to Bare-Metal Devices

wang-y-z commented on issue #2563:
URL: https://github.com/apache/incubator-tvm/issues/2563#issuecomment-665411071


   @weberlo Nice work and I think always-on tiny machine learning on IoT devices has arrived.
   
   Recently the work [MCUNet: Tiny Deep Learning on IoT Devices](https://arxiv.org/abs/2007.10319) which implement TinyNAS TinyEngine(a memory-efficient inference library) co-design to find best way to deploy model on to bare-matel device like STM32F746(320kb SRAM / 1MB Flash) is very intersting~  How do you think the difference between MicroTVM and MCUNet?
   
   By the way, can you tell me what's going on about MicroTVM on RICS-V device and if you have plan to support the User defined extensions for RV？
   
   Looking for your brilliant work and your reply~


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