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Using metal backend for training deep learning architectures
Jun 9, 2019
One minute read

In order to take advantage of the AMD GPU’s for running memory intensive programs on a device running macOS Training a deep learning model

Some jargon that might be helpful

  • cupy: It is numpy library that supports operation on a CUDA GPU.
  • pyopenCL: It is an OpenCL implementation of the library pyopenGL.

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