Hey guys,
I converted a T5-base (encoder/decoder) model to a CoreML model using https://github.com/huggingface/exporters (which are using coremltools under the hood). When creating a performance report for the decoder model within XCode it shows that all compute units are mapped to the CPU. This is also the experience I have when profiling the model (GPU and ANE are not used). I was under the impression that CoreML would divide up the layers and run those that can run on the GPU / ANE, but maybe I misunderstood.
Is there anything I can do to get this to not run on the CPU exclusively?
