Hi @joyalbin,
Unfortunately I never tried this scenario, and I am not Android expert. I think you have two possibilities: * Running the RPC server on Android * Statically compiling every together, copy the binary on Android and run ### RPC on android In theory it should be similar to the way you use the RPC server on a linux board (like the Raspi). You should follow those instructions: - https://tvm.apache.org/docs/deploy/android.html - https://tvm.apache.org/docs/tutorials/frontend/deploy_model_on_android.html - https://github.com/apache/incubator-tvm/tree/main/apps/android_rpc And instead of `USE_OPENCL` you should set `USE_ARM_COMPUTE_LIB_GRAPH_RUNTIME` to the Arm Compute Library path. Hopefully, this will statically link against the library, so that your RPC server on the phone will have all you need. ### Statically linked binary If that doesn't work, another solution would be to deploy the model as a stand-alone. This is the guide: https://github.com/apache/incubator-tvm/tree/main/apps/bundle_deploy The idea is to follow `bundle_static` and statically link everything together (runtime+library), so that you can copy a single binary to your phone and execute the network. This option is easier, but it won't let you auto-tune the network (for that you need to send different workloads to the board) Hope this helps --- [Visit Topic](https://discuss.tvm.apache.org/t/how-to-use-arm-compute-library-with-android-rpc/8428/2) 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/ccd2ef149b3774709270c807e0ad7d9fdf2ef75e44d64106db916328369ef5da).
