I have added a python file from the Coursera TensorFlow: Advanced Techniques Specialization, class Generative Deep Learning with TensorFlow , Course4, Week3, Assignment 1.
This code runs correctly in colab or on local cpu cores, but fails drastically due to obvious untrapped numerical errors on a metal gpu.
To reproduce, switch between environments with the two command lines:
pip install tensorflow-metal
pip uninstall tensorflow-metal
Feel free to contact me if you require additional information, thanks!
C4W3_Assignment.py
charlie94965
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Just wanted to add I have tried most combinations of Tensorflow 2.16.1, 2.15, and 2.14, with Pythons 3.9, 3.10 and 3.11, and with conda or pip virtual environments, all with and without tensorflow-metal. The results are always the same, with all moderately complex models I've tried employing convolution and batch normalization total failures with gpu support, and with success under colab or cpu-only Mac configs.
The tensorflow install page does suggest this, though they also link to install procedures for the defective tensorflow-metal package.
macOS 10.12.6 (Sierra) or later (no GPU support)
https://www.tensorflow.org/install