Brew Pip

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The Missing Package Manager for macOS (or Linux). It’s all Git and Ruby underneath, so hack away with the knowledge that you can easily revert your modifications and merge upstream updates. Brew install pip. Shell by Fair Frog on Dec 15 2020 Donate. Source: www.poftut.com. Brew install pip. Shell by Fair Frog on Dec 15 2020.

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TensorFlow 2 packages are available

  • tensorflow —Latest stable release with CPU and GPU support (Ubuntu and Windows)
  • tf-nightly —Preview build (unstable) . Ubuntu and Windows include GPU support .

Older versions of TensorFlow

For TensorFlow 1.x, CPU and GPU packages are separate:

  • tensorflow1.15 —Release for CPU-only
  • tensorflow-gpu1.15 —Release with GPU support (Ubuntu and Windows)

System requirements

  • Python 3.6–3.8
    • Python 3.8 support requires TensorFlow 2.2 or later.
  • pip 19.0 or later (requires manylinux2010 support)
  • Ubuntu 16.04 or later (64-bit)
  • macOS 10.12.6 (Sierra) or later (64-bit) (no GPU support)
    • macOS requires pip 20.3 or later
  • Windows 7 or later (64-bit)
  • Raspbian 9.0 or later
  • GPU support requires a CUDA®-enabled card (Ubuntu and Windows)
Note: Installing TensorFlow 2 requires

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a newer version of pip .

Hardware requirements

  • Starting with TensorFlow 1.6, binaries use AVX instructions which may not run on older CPUs.
  • Read the GPU support guide to set up a CUDA®-enabled GPU card on Ubuntu or Windows.

1. Install the Python development environment on your system

Check if your Python environment is already configured:

Requires Python 3.6–3.8, pip and venv >= 19.0

If these packages are already installed, skip to the next step.
Otherwise, install Python , the pip package manager , and venv :

Ubuntu

macOS

Install using the Homebrew package manager:

Windows

Install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017, and 2019 . Starting with the TensorFlow 2.1.0 version, the msvcp140_1.dll file is required from this package (which may not be provided from older redistributable packages). The redistributable comes with Visual Studio 2019 but can be installed separately:

  1. Go to the Microsoft Visual C++ downloads ,
  2. Scroll down the page to the Visual Studio 2015, 2017 and 2019 section.
  3. Download and install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019 for your platform.

Make sure long paths are enabled on Windows.

Install the 64-bit Python 3 release for Windows (select pip as an optional feature).

Raspberry Pi

Requirements for the Raspbian operating system:

Other

Caution: Upgrading the system pip can cause problems .
Brew If not in a virtual environment, use python3 -m pip for the commands below. This ensures that you upgrade and use the Python pip instead of the system pip .

2. Create a virtual environment (recommended)

Python virtual environments are used to isolate package installation from the system.

Ubuntu / macOS

Create a new virtual environment by choosing a Python interpreter and making a ./venv directory to hold it:

Activate the virtual environment using a shell-specific command:

When the virtual environment is active, your shell prompt is prefixed with (venv) .

Install packages within a virtual environment without affecting the host system setup. Start by upgrading pip :

And to exit the virtual environment later:

Windows

Create a new virtual environment by choosing a Python interpreter and making a .venv directory to hold it:

Activate the virtual environment:

Install packages within a virtual environment without affecting the host system setup. Start by upgrading pip :

And to exit the virtual environment later:

Conda

While the TensorFlow provided pip package is recommended, a community-supported Anaconda package is available. To install, read the Anaconda TensorFlow guide .

3. Install the TensorFlow pip package

Choose one of the following TensorFlow packages to install from PyPI :

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  • tensorflow —Latest stable release with CPU and GPU support (Ubuntu and Windows) .
  • tf-nightly —Preview build (unstable) . Ubuntu and Windows include GPU support .
  • tensorflow1.15 —The final version of TensorFlow 1.x.
Package dependencies are automatically installed. These are listed in the setup.py file under REQUIRED_PACKAGES .

Virtual environment install

Verify the install:

System install

Verify the install:

Brew Pip Install

Success:

Brew Pipeline

Brew Pip If a tensor is returned, you've installed TensorFlow successfully. Read the tutorials to get started.

Package location

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A few installation mechanisms require the URL of the TensorFlow Python package. The value you specify depends on your Python version.

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Version URL
Linux
Python 3.6 GPU support https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-2.4.0-cp36-cp36m-manylinux2010_x86_64.whl
Python 3.6 CPU-only https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow_cpu-2.4.0-cp36-cp36m-manylinux2010_x86_64.whl
Python 3.7 GPU support https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-2.4.0-cp37-cp37m-manylinux2010_x86_64.whl
Python 3.7 CPU-only https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow_cpu-2.4.0-cp37-cp37m-manylinux2010_x86_64.whl
Python 3.8 GPU support https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-2.4.0-cp38-cp38-manylinux2010_x86_64.whl
Python 3.8 CPU-only https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow_cpu-2.4.0-cp38-cp38-manylinux2010_x86_64.whl
macOS (CPU-only)
Python 3.6 https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-2.4.0-cp36-cp36m-macosx_10_9_x86_64.whl
Python 3.7 https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-2.4.0-cp37-cp37m-macosx_10_9_x86_64.whl
Python 3.8 https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-2.4.0-cp38-cp38-macosx_10_14_x86_64.whl
Windows
Python 3.6 GPU support https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.4.0-cp36-cp36m-win_amd64.whl
Python 3.6 CPU-only https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow_cpu-2.4.0-cp36-cp36m-win_amd64.whl
Python 3.7 GPU support https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.4.0-cp37-cp37m-win_amd64.whl
Python 3.7 CPU-only https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow_cpu-2.4.0-cp37-cp37m-win_amd64.whl
Python 3.8 GPU support https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.4.0-cp38-cp38-win_amd64.whl
Python 3.8 CPU-only https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow_cpu-2.4.0-cp38-cp38-win_amd64.whl
Raspberry PI (CPU-only)
Python 3, Pi0 or Pi1 https://storage.googleapis.com/tensorflow/raspberrypi/tensorflow-2.3.0rc2-cp35-none-linux_armv6l.whl
Python 3, Pi2 or Pi3 https://storage.googleapis.com/tensorflow/raspberrypi/tensorflow-2.3.0rc2-cp35-none-linux_armv6l.whl