Mesa adds YOLOX support for NPUs via PyTorch
Open-source developer Tomeu Vizoso has merged code into the Mesa driver stack to support the YOLOX object detection model on Neural Processing Units (NPUs). This update utilizes Torx, Mesa's hardware backend for compiling and executing machine learning models with PyTorch ExecuTorch. The change allows users to run YOLOX using NPU drivers within Mesa, expanding the utility of the driver stack…
Key points
- Tomeu Vizoso merged YOLOX support into Mesa's Torx backend for PyTorch ExecuTorch.
- The update enables running YOLOX on NPUs, tested with Arm EthosU and NXP i.MX93 SoC.
- Etnaviv driver for Vivante NPUs supports operations but lacks Torx infrastructure work.
The implementation has been tested with the Arm EthosU NPU on the NXP i.MX93 SoC. While the Etnaviv driver for Vivante NPUs reportedly supports all necessary operations, it still lacks the infrastructure work required to function with Torx. This development is part of Mesa 26.3 and represents a continued effort by Vizoso to advance NPU capabilities in the open-source ecosystem.
Mesa expands NPU capabilities with support for YOLOX with PyTorch
phoronix.com · 14 October 2026Loading the full article…
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