LVC20-210 Running accelerated Neural Networks using Python and Arm NN

  • Session Files
  • Session Abstract

    Arm NN is a neural network inference engine developed by Arm and the Linaro Machine Learning initiative connecting popular frameworks such as TensorFlow, TF Lite, ONNX, or Caffe with the CPU, GPU or NPU on your device using Arm NN’s backends. The new Python interface called PyArmNN makes this even easier by enabling Python and all its modules.

    The presentation takes you through the concepts of the Arm NN framework, dives deeper both into Python enablement, the usage, and into the different backends for acceleration on platforms such as Arm NEON, OpenCL, or having to develop a custom one.

    Session Speakers

    Pavel Macenauer

    NXP Semiconductors, Sr. Software Engineer

    Pavel currently develops accelerated ML backends running on GPU/NPUs and enables NXP's eIQ Machine Learning platform. He actively contributes to Linaro's Arm NN framework and as such he was one of the developers contributing to the Python enablement in its latest release. His past experiences involve the development of safety-critical RTOS/display systems for Honeywell Aerospace or image processing applications for photographers.

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