The installation will succeed without any issues: Image 5 - Installing TensorFlow Metal (image by author)
PYTHON MAC M1 INSTALL INSTALL
Let’s install TensorFlow Metal first: pip install tensorflow-metal The good news is - all the error messages are fixable. The installation will take a while and fail, giving you more red error messages than you can read: Image 4 - Trying to install TensorFlow on M1 chip (image by author) The Anaconda equivalent isn’t yet available, so you’ll have to stick with pip. Start by installing TensorFlow dependencies from Apple: conda install -c apple tensorflow-depsĪnd now can try to install TensorFlow for macOS with the following command: pip install tensorflow-macos There’s a way to solve any error TensorFlow installation throws at you. Let me make something clear right away - you WILL get errors during the installation. Installing TensorFlow and TensorFlow Metal Now all TensorFlow prerequisites are installed, and you can install the star of the show next. You should see something like this in your Terminal window: Image 3 - Activating TensorFlow environment (image by author) Once created, activate it with the following command: conda activate env_tensorflow I’ve named mine tensorflow_env: conda create -name env_tensorflow python=3.9 You can now create a new virtual environment based on Python 3.9. It doesn’t matter if yours is newer, as long as executing the command doesn’t result in an error. Here’s mine: Image 2 - Miniforge version (image by author) This will print out the Miniforge version. Once installed, open up a new Terminal window and execute the following command: conda -V The installation is straightforward, so I won’t cover it here. You’ll want to download the ARM64 version, the one marked on the following image: Image 1 - Miniforge download page (image by author)Ĭlicking on the link will download the SH file, which you can then install through Terminal: sh
As of now, Miniforge runs natively on the M1 chip, so that’s the distribution you’ll use. You can install them with the following command: xcode-select -installĪnd finally, you’ll need Anaconda. Keep in mind that you don’t need the Xcode itself, just the command line tools. The installation will take a couple of minutes, and once done you can install the Xcode tools.
You can copy/paste the installation command straight from their website: /bin/bash -c "$(curl -fsSL )" Those are Homebrew, Xcode tools, and Anaconda. You’ll need to install three things before you can even think about TensorFlow.
PYTHON MAC M1 INSTALL CODE
You can access the source code on GitHub. I also made a video tutorial, so feel free to check it out: You’ll also train a simple neural network, just to verify everything works properly. Today you’ll install TensorFlow and TensorFlow Metal on your M1 Mac. Most guides online would seem to work until you start the training - then the Python kernel dies and there’s nothing you can do. TensorFlow has been a nightmare to install properly, especially if you want to use Mac’s GPU. No library gave developers so much headache as TensorFlow. Still, almost a year since launch, installing and managing Python packages feels harder than it should. Nothing really comes close if you consider the efficiency and the form factor. The M1 chip is a remarkable piece of technology.
PYTHON MAC M1 INSTALL HOW TO
And how to train neural networks on M1 GPU - Source code included.
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