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I recently wrote some code for a basic GAN (I am learning about neural networks, so not an expert), and got very strange results. Unable to debug, I tested someone else's code that I know works, and still got the same results. When running a GAN to generate digits (from the MNIST dataset) the images produced each epoch are identical to each other, and don't resemble digits at all. An example of the images produced can be seen below. Rerunning the same code on Google Colab, and on my machine locally (with standard tensorflow, i.e. without the metal plugin) gives expected results of images resembling digits. The code is used to test this can be found here: https://github.com/PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras/blob/master/Chapter%206/VanillaGAN.ipynb I am using these versions of relevant software: tensorflow-metal 0.5.0; tensorflow-macos 2.9.2; macOS Monterey 12.3; I would be grateful if Apple engineers could advise, or give a timeframe for a solution please.