I'm now running Tensorflow models on my Macbook Air 2020 M1, but I can't find a way to monitor the Neural Engine 16 cores usage to fine tune my ML tasks.
The Activity Monitor only reports CPU% and GPU% and I can't find any APIs available on Mach include files in the MacOSX 11.1 sdk or documentation available so I can slap something together from scratch in C.
Could anyone point me in some direction as to get a hold of the API for Neural Engine usage. Any indicator I could grab would be a start. It looks like this has been omitted from all sdk documentation and general userland, I've only found a ledger_tag_neural_footprint attribute, which looks memory related, and that's it.
The Activity Monitor only reports CPU% and GPU% and I can't find any APIs available on Mach include files in the MacOSX 11.1 sdk or documentation available so I can slap something together from scratch in C.
Could anyone point me in some direction as to get a hold of the API for Neural Engine usage. Any indicator I could grab would be a start. It looks like this has been omitted from all sdk documentation and general userland, I've only found a ledger_tag_neural_footprint attribute, which looks memory related, and that's it.
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audiomason
Add a CommentI have noticed that when training models using tensorflow-metal on my M1 MacBook Air, the GPU History window in Activity Monitor shows near 100% utilization, but I'd like to know if the Neural Engine is being utilized as well.