The [original TVM WASM blogpost](https://tvm.apache.org/2020/05/14/compiling-machine-learning-to-webassembly-and-webgpu) has a link to a [codebase which uses WASM for the host-code, and WebGPU for the kernels](https://github.com/tqchen/tvm-webgpu-example).
The pipeline might have changed a little bit since then (the codebase is from mid-2020), but I believe other than changing the model to be ResNet50, the only key thing you need to change is the `target-device` to be the same as the `target_host`. https://github.com/tqchen/tvm-webgpu-example/blob/master/build.py#L33-L34 --- [Visit Topic](https://discuss.tvm.apache.org/t/how-to-get-an-example-to-use-resnet50-with-pure-wasm/11856/2) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/0437cc37a20e2f78e703ba0202953cad689e0f1c7dd9871e3c752a2d8f06e5d5).
