leonwanghui opened a new pull request #5892: URL: https://github.com/apache/incubator-tvm/pull/5892
## Background As demonstrated in TVM runtime [tutorials](https://tvm.apache.org/docs/tutorials/relay_quick_start.html), TVM already supports WASM as the optional hardware backend, so we can leverage the features of WebAssembly (portability, security) and TVM runtime (domain-specific, optimization) to build a flexible and auto-optimized operator backend for all deep learning frameworks. ## Proposal Summary This PR is mainly proposed to add new TVM application extension that provides WASM operator backend for deep learning frameworks with TVM runtime. We believe it would bring some new ideas by combining WASM runtime with TVM compiler stack. Thanks for reviewing this proposal, considering it's at the **experimental** stage to incubation, so any suggestions or questions are welcomed. And we wish more contributors can join in to make it grow up. @tqchen @jroesch @kazum PTAL, thanks! ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
