See the following issues: https://github.com/tensorflow/tensorflow/issues/51820 https://github.com/tensorflow/tensorflow/issues/51499 This issue is still persistent in Tensorflow 3.6.0. The following demonstrates the bug easily... for device in ['/cpu:0', '/gpu:0']: with tf.device(device): tf.print(tf.sort(y), summarize=-1) [-0.554460645 -0.464435279 -0.3819125 -0.26858753 -0.247115687 -0.241563916 -0.238910735 -0.234633669 -0.109736279 -0.00934277847 0.0918735489 0.111700684 0.114819914 0.117980212 0.128462791 0.158333018 0.257014751 0.346840918 0.385897338 0.391006947] [-0.554460645 -0.464435279 -0.3819125 -0.26858753 -0.247115687 -0.241563916 -0.238910735 -0.234633669 -0.109736279 -0.00934277847 0.0918735489 0.111700684 0.114819914 0.117980212 0.128462791 0.158333018 -0 -0 -0 -0] Is there a place to file a bug report against the tensorflow-metal codebase? Is there a general mechanism to know the general status of this bug?