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- #Download anaconda for mac m1 how to#
- #Download anaconda for mac m1 install#
- #Download anaconda for mac m1 software#
How to setup a TensorFlow environment on Apple Silicon using Miniforge (longer version) PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')] [PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU'), If it all worked, you should see something like: TensorFlow has access to the following devices: Print(f"TensorFlow has access to the following devices:\n")
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Import dependencies and check TensorFlow version/GPU access.
#Download anaconda for mac m1 install#
conda install jupyter pandas numpy matplotlib scikit-learnġ2. python -m pip install tensorflow-datasetsġ1. (Optional) Install TensorFlow Datasets to run benchmarks included in this repo. python -m pip install tensorflow-metalġ0. Install Apple's tensorflow-metal to leverage Apple Metal (Apple's GPU framework) for M1, M1 Pro, M1 Max, M1 Ultra, M2 GPU acceleration. Install base TensorFlow (Apple's fork of TensorFlow is called tensorflow-macos). Install TensorFlow dependencies from Apple Conda channel. Make and activate Conda environment with Python 3.8 (Python 3.8 is the most stable with M1/TensorFlow in my experience, though you could try with Python 3.x). Create a directory to setup TensorFlow environment. Sh ~/Downloads/Miniforge3-MacOSX-arm64.shĥ. chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh Note: If you already have a version of Anaconda installed, it may cause conflicts when installing Miniforge (if you're using M1/Pro/Max/Ultra/M2, favour Miniforge because it's specifically designed for arm64 chips).
#Download anaconda for mac m1 software#
If you're new to setting up environments and software packages, watch the video version alongside the longer text-based instructions below. This post: teaches you how to install the most common machine learning and data science packages (TensorFlow, pandas, NumPy, Jupyter, matplotlib, scikit-learn) on your machine and make sure they run using sample code. You: have a new M1, M1 Pro, M1 Max, M1 Ultra or M2 Mac and would like to get started doing machine learning and data science on it. Let's get your Apple Silicon Mac (M1, M1 Pro, M1 Max, M1 Ultra or M2) setup for machine learning and data science.