1. Install Dependencies:

• Install TensorFlow

  pip install tensorflow==2.4.1
  

• Install PyTorch

  • CPU:

    pip install torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2
    

  • GPU:

    pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio===0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
    

  • Extra Dependencies:

  • Windows:

    • Install Visual C++ 2015 build tools here and install default option.

    • Install latest Visual C++ redistributable here and choose x86 for 32 bit OS, x64 for 64 bit OS.

  • Linux:

    $ apt-get install libglib2.0-0 libsm6 libxrender1 libxext6
    

  • Mac:

    $ echo No extra dependency needed ":)"
    

2. Install FastEstimator:

• Stable (Linux/Mac):

  $ pip install fastestimator
  

• Stable (Windows):

  First download zip file from available releases

  $ pip install fastestimator-x.x.x.zip
  

• Nightly (Linux/Mac):

  $ pip install fastestimator-nightly
  

• Nightly (Windows):

  First download zip file here

  $ pip install fastestimator-master.zip
  

Docker Hub

Docker containers create isolated virtual environments that share resources with a host machine. Docker provides an easy way to set up a FastEstimator environment. You can simply pull our image from Docker Hub and get started: * Stable: * GPU:

docker pull fastestimator/fastestimator:latest-gpu

* CPU:

docker pull fastestimator/fastestimator:latest-cpu

* Nighly: * GPU:

docker pull fastestimator/fastestimator:nightly-gpu

* CPU:

docker pull fastestimator/fastestimator:nightly-cpu