Read the original: PyTorch BlogOfficial· RJ Ascani (Meta), Adrian Lundell (Arm), Siddartha Pothapragada (Meta), Digant Desai (Meta), Zingo Andersen (Arm), Måns Nilsson (Arm), Erik Lundell (Arm)· 60/100AI score60/100
ExecuTorch adds Arm Cortex-M CPU support, running PyTorch models directly on microcontrollers
Original titleBringing ExecuTorch to Arm Cortex-M CPUs
AISummary
PyTorch's ExecuTorch now runs models directly on Arm Cortex-M CPUs through a backend that uses Arm's CMSIS-NN kernels, removing the need to convert models to other formats.
The backend covers Scalar, DSP and MVE/Helium tiers, and on the Alif Ensemble E8 four MLPerf Tiny models each run in 21.5 ms or less using under 90 KiB of RAM on one Cortex-M55 core. The ExecuTorch core runtime is under 20 KiB of flash.
Source: PyTorch Blog · pytorch.orgPublished · added here