![]() 17:02:36.448581: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.Zero Install is a decentralised cross-distribution software installation system. ![]() Your kernel may not have been built with NUMA support. 17:02:36.448221: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_:305] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. 17:02:36.447465: I tensorflow/core/platform/cpu_feature_:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. Metal device set to: AMD Radeon Pro 5600M keeps looking better and better !!! Print("Num GPUs Available: ", len(tf._physical_devices('GPU'))) Install your other stuff as normal with conda (pandas, scikit-learn, jupyterlab, etc) SYSTEM_VERSION_COMPAT=0 python -m pip install tensorflow-metal (this will also succeed) SYSTEM_VERSION_COMPAT=0 python -m pip install tensorflow-macos (this will give you tensorflow-macos version 2.7 - don't get excited yet) I'll add that like others, python 3.8.X is required. ![]() $ source tensorflow-metal-test/bin/activate I was able to install tensorflow-macos and tensrflow-metal on intel based iMac $ python3 -m venv tensorflow-metal-test
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