I've checked the commit you mention above. According to my understanding, the commit focus on giving a example demonstrating how to save customized op and load it until runtime. Despite the use case is slightly different than mine, I believe the building pipeline still works on my case. In conclusion, manually modifying `Cargo.toml` and build `libtvm_runtime.a` beyond official pipeline doesn't make sense.
Anyway according to my recent work, I believe in TVM documentation still lack one simple example just like [from_torch](https://tvm.apache.org/docs/tutorials/frontend/from_pytorch.html) illustrating the steps to deploy model on browser. I'll keep trying to achieve my goal and please let me know if you know there is any example code or solution. Thank you very much. --- [Visit Topic](https://discuss.tvm.ai/t/how-to-build-runnable-wasm-on-browser/7048/13) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/10fb5b47b909a65946afae6a43011e6040bbbf1b97d1adb8c1c138b2b3629058).
