Using metal backend for training deep learning architectures
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
numpylibrary that supports operation on a CUDA GPU.
pyopenCL: It is an OpenCL implementation of the library