"The executor" part, including API calls to DNNL, is defined in another lib that is built outside of TVM, and linked to my TVM build. My TVM external runtime passes binary or deserialized graph rep together with arguements from TVM to that lib, and this lib knows how to execute the graph. The output from the lib is returned to the TVM runtime.
I don't need to generate any C code or invoke some external toolchains like gcc. But I'm still at the experiment stage, not sure if this flow is final. --- [Visit Topic](https://discuss.tvm.ai/t/external-codegen-constant-tensors-in-c-codegen/5890/18) 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/6c51dfece6fa542c82a8f9915361c505d02d6b67fc02a5b70bc6084b48174d8f).
