INSTALL JUPYTER NOTEBOOK MAC M1 HOW TO
INSTALL JUPYTER NOTEBOOK MAC M1 FOR MAC
INSTALL JUPYTER NOTEBOOK MAC M1 INSTALL
INSTALL JUPYTER NOTEBOOK MAC M1 PRO

I'll also install JupyterLab, just so we can easily build and train a simple neural network: conda install -c conda-forge jupyter jupyterlab -y Image 8 - Installing JupyterLab (image by author=

INSTALL JUPYTER NOTEBOOK MAC M1 PRO

The last step is to install the GPU support for TensorFlow on M1 Pro Macbooks with the Metal plugin: pip install tensorflow-metal Image 7 - Installing TensorFlow Metal on M1 Pro Macbook (image by author)Īnd that's all - you now have TensorFlow and all of its dependencies installed. The installation will take a couple of minutes, as Miniforge has to pull a ton of fairly large packages. Once installed, use the following command to install TensorFlow on M1 Pro Macbook: python -m pip install tensorflow-macos Image 6 - Installing TensorFlow on M1 Pro Macbook (image by author) We'll start by installing TensorFlow dependencies from Apple: conda install -c apple tensorflow-deps -y Image 5 - Installing TensorFlow dependencies from Apple (image by author) Since the macOS Monterey release, I'd be amazed if anyone runs into any trouble by following these instructions. The process of installing TensorFlow with GPU support has become a lot smoother over the last couple of months.

INSTALL JUPYTER NOTEBOOK MAC M1 HOW TO

How To Install TensorFlow and TensorFlow Metal on the M1 Pro Chip That's all we need to install TensorFlow on the M1 Pro chip - let's do that next. The new environment will be created after a couple of seconds: Image 3 - Creating a new virtual environment (image by author)įrom here, activate the environment: conda activate env_tf Image 4 - Activating a new virtual environment (image by author) I've named mine env_tf: conda create -name env_tf python=3.9 Now create a new virtual environment based on Python 3.9. Stick with the default options, and in a minute or so you should have Miniforge installed! Miniforge3-MacOSX-arm64.sh Image 2 - Installing Miniforge from the terminal (image by author)Īs the instructions suggest - press Enter to continue. You'll have to change its permissions and run it through the terminal: cd

INSTALL JUPYTER NOTEBOOK MAC M1 FOR MAC

Download the ARM64 version for Mac - the one marked on the image below: Image 1 - Miniforge download page (image by author) As of now, Miniforge runs natively on all M1 chips (M1, M1 Pro, M1 Max), so we'll stick with it. If you can't install XCode tools straight away, please restart the terminal window and try again.įinally, you'll need Anaconda. You can install the first two through Mac's terminal with the following commands: /bin/bash -c '$(curl -fsSL )' You'll need a couple of things installed before you can even think about TensorFlow - Homebrew, XCode tools, and Anaconda. Install TensorFlow Prerequisites on MacBook Pro M1 Pro

We'll also verify TensorFlow was installed by training a simple neural network.ĭon't feel like reading? Watch my video instead: Everything you'll see will work on regular M1 and M1 Max chips, as long as it's Apple Silicon.

Today I'll show you how to install TensorFlow 2.7 on MacBook Pro M1 Pro. Stay tuned to the blog for the upcoming benchmarks and comparisons for data science. It wipes the floor with my M1 Macbook Pro from the last year and in some tests comes close to my custom configuration with RTX 3060Ti. New M1 Pro and M1 Max Macbooks don't look as chunky in real life.Īnyhow, I opted for the 'base' model 16' M1 Pro Macbook Pro with 10-core CPU, 16-core GPU, and 16 GB of RAM. I was a bit skeptical at first and decided not to buy the new laptop, but after seeing the 16' in the store I couldn't resist. Apple markets these towards content creators, but rest assured, the performance you can squeeze as a data scientist is worth talking about. The new M1 Pro and M1 Max are what the professional users have been waiting for. Install and test TensorFlow 2.7 on the new M1 Pro and M1 Max chips from AppleĪpple's M1 chip completely revolutionized the industry back in 2020.

Install jupyter notebook mac m1