Delegates enable hardware acceleration of TensorFlow Lite models by leveraging on-device accelerators such as the GPU and Digital Signal Processor (DSP).
(Warning: The NNAPI and Hexagon delegates are deprecated and no longer supported by TensorFlow Lite. )
Question: Just noticed the latest 4.0 still uses NNAPI for benchmark on current devices in the market. If the device can only support TFLite Stable Delegate, can later MLPerf Mobile support this modern ML interface?
TensorFlow Lite Delegates https://github.com/mlcommons/mobile_app_open/issues/new
Delegates enable hardware acceleration of TensorFlow Lite models by leveraging on-device accelerators such as the GPU and Digital Signal Processor (DSP). (Warning: The NNAPI and Hexagon delegates are deprecated and no longer supported by TensorFlow Lite. )
Question: Just noticed the latest 4.0 still uses NNAPI for benchmark on current devices in the market. If the device can only support TFLite Stable Delegate, can later MLPerf Mobile support this modern ML interface?