![]() Troels Henriksen Jan 28 What is There is also FUTHARK_PROGRAM_ERROR that you can perhaps make use of: https://en/latest/c-api.html#error-codes I am utilizing a Toll-Free-Bridging method which Futhark should be able to utilize easily the metal code I am working with is in C++ rather than Objective-C or Swift next will do some experiments in code generation and get back to everybody (Tonight), Any questions welcome Hello all! Its been a minute but I have good news! I have made progress with adding Metal to Futhark! Nothing too concrete as my work is now in the early intermediate stage but The possibility is becoming Otherwise you will get errors like : “not a supported wheel on this platform” SYSTEM_VERSION_COMPAT=0 python -m pip install tensorflow-macos NOTE: If using conda environment built against pre-macOS 11 SDK use: NOTE: python versions 3.8 and 3.9 supported Tensorflow-deps versions are following base TensorFlow versions so:Ĭonda install -c apple tensorflow-deps=2.5.0Ĭonda install -c apple tensorflow-deps=2.6.0 # uninstall existing tensorflow-macos and tensorflow-metalĬonda install -c apple tensorflow-deps -force-reinstallĬonda install -c apple tensorflow-deps -force-reinstall -n my_env ![]() When upgrading to new base TensorFlow version, we recommend: Sh ~/Downloads/Miniforge3-MacOSX-arm64.sh Learn more about TensorFlow PluggableDevicesĬreate virtual environment (recommended):Ĭhmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh Install TensorFlow and the tensorflow-metal PluggableDevice to accelerate training with Metal on Mac GPUs. Getting Started with tensorflow-metal PluggableDeviceĪccelerate training of machine learning models with TensorFlow right on your Mac.
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