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Replied In Tensorflow-metal giving garbage results with GAN
Many thanks for your reply. Currently I am using standard tensorflow (without the metal plugin & running on CPU) without any issues. I haven't tried your workaround, but I think you're right that it's the GPU calculations going wrong, so it makes sense using tf.device('CPU: 0'): would work too. So at least we have two workarounds for anyone else who encounters this issue. Thank you for your help!
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Replied In TensorFlow with Metal start giving wrong results after upgrading macOS from 12.0.1 to 12.1
I am new to deep learning, so at first I thought it must be an error with my code. After testing with a code example I know to work, I discovered I have an issue very similar to this. The produced images are nonsensical - often some noise centred around the middle of the image. I am using the latest version of TensorFlow(2.9.2) and the metal plugin (0.5.0), and macOS Monterey (12.3). The code I used is here https://github.com/PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras/blob/master/Chapter%206/VanillaGAN.ipynb Below are images of the result using the Metal plugin at epochs 1 & 5 (larger epochs have also been tested) Running this code in an environment using standard TensorFlow (without the macOS/metal plugin) does not produce the same error. It also works on Google Colab fine.