We are developing a simple GAN an when training the solution, the behavior of the convergence of the discriminator is different if we use GPU than using only CPU or even executing in Collab. We've read a lot, but this is the only one post that seems to talk about similar behavior. Unfortunately, after updating to 0.4 version problem persists. My Hardware/Software: MacBook Pro. model: MacBookPro18,2. Chip: Apple M1 Max. Cores: 10 (8 de rendimiento y 2 de eficiencia). Memory: 64 GB. firmware: 7459.101.3. OS: Monterey 12.3.1. OS Version: 7459.101.3. Python version 3.8 and libraries (the most related) using !pip freeze keras==2.8.0 Keras-Preprocessing==1.1.2 .... tensorboard==2.8.0 tensorboard-data-server==0.6.1 tensorboard-plugin-wit==1.8.1 tensorflow-datasets==4.5.2 tensorflow-docs @ git+https://github.com/tensorflow/docs@7d5ea2e986a4eae7573be3face00b3cccd4b8b8b tensorflow-macos==2.8.0 tensorflow-metadata==1.7.0 tensorflow-metal==0.4.0 #####. CODE TO REPRODUCE. ####### Code does not fit in the max space in this message... I've shared a Google Collab Notebook at: https://colab.research.google.com/drive/1oDS8EV0eP6kToUYJuxHf5WCZlRL0Ypgn?usp=sharing You can easily see that loss goes to 0 after 1 or 2 epochs when GPU is enabled, buy if GPU is disabled everything is OK