Oh sorry I misread your original post 
You are correct, Resize is not supported on the OpenCL backend. Depending on what frontend you’re using (PyTorch, Caffe2, ONNX, TFLite, etc.) this will behave differently, since some of these frontends only delegate ops into Glow if they’re supported on the target backend, and so it would automatically execute the Resize in the base framework (e.g. PyTorch) and only delegate to Glow the other piece(s) of the model automatically for you.
However assuming it is delegated/loaded into Glow (e.g. if it’s loaded via ONNX), then it will most likely just throw an error during compilation. You would need to do heterogeneous partitioning 1 in order to partition the Resize node to e.g. the Glow CPU backend to have such execution bounce back and forth between your OpenCL device and the host CPU.