Install Tensorflow 2.0 Mac

  • Install TensorFlow 2. For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms.
  • Mac OS High Sierra: Tensorflow verions returned by `pip3 upgrade ` and `python3 -c 'import tensorflow as tf; print(tf.version)'` differ 0 Exceptions when installing lxml.

How to enable cuda support for tensor flow on Mac OS X (Tensorflow 0.9 on OS X 10.10) - Install tensorflow on OS X with GPU enabled.md. This release version is built for Tensorflow 2.2.0 for Python 3.7 on Mac OS X 10.13 with CUDA support. Supported CUDA compute capability: 3.5,5.0,5.2,6.1,7.0. CUDA 10.0 and CuDNN 7.4 are required. If you need to build your own wheels, use the corresponding source patches and the latest build tutorial in the master branch.

Accelerate training of machine learning models with TensorFlow right on your Mac. Install TensorFlow and the tensorflow-metal PluggableDevice to accelerate training with Metal on Mac GPUs.

OS Requirements

  • macOS 12.0+ (latest beta)

Currently Not Supported

  • Multi-GPU support
  • Acceleration for Intel GPUs
  • V1 TensorFlow Networks

Installation Instructions

Step 1: Environment setup

x86 : AMD

Create virtual environment (recommended):

NOTE: python version 3.8 required

arm64 : Apple Silicon

Download and install Conda env:

Install the TensorFlow dependencies:

  • When upgrading to new base TensorFlow version, we recommend:
  • tensorflow-deps versions are following base TensorFlow versions so:
    • For v2.5:

      For v2.6:

Conda install tensorflow 2.0 mac

NOTE: python versions 3.8 and 3.9 supported

Step 2: Install base TensorFlow

NOTE: If using conda environment built against pre-macOS 11 SDK use:

SYSTEM_VERSION_COMPAT=0 python -m pip install tensorflow-macos

otherwise you will get errors like : “not a supported wheel on this platform”

Step 3: Install tensorflow-metal plugin

Questions and Feedback

To ask questions and share feedback about the tensorflow-metal plugin, visit the Apple Developer Forum.

The agenda has been announced! Save a spot at the Women in ML Symposium on October 19

Install TensorFlow 2

TensorFlow is tested and supported on the following 64-bit systems:

  • Python 3.6–3.9
  • Ubuntu 16.04 or later
  • Windows 7 or later (with C++ redistributable)
  • macOS 10.12.6 (Sierra) or later (no GPU support)

Google Colab: An easy way to learn and use TensorFlow

No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. Read the blog post.

Install Tensorflow 2.0 Mac Os

Web developers

TensorFlow.js is a WebGL accelerated, JavaScript library to train and deploy ML models in the browser, Node.js, mobile, and more.

Mobile developers

Install Tensorflow 2.0 Anaconda

TensorFlow Lite is a lightweight solution for mobile and embedded devices.
  • Most Viewed News

    • Download Clover Configurator Mojave
    • Dstv Now App For Mac
    • Imovie High Sierra
    • Itunes Mac Version
    • Macremover