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  1. 1

    Alexander Pacha

    Since the begin of 2017, Tensorflow is now officially supported on Windows and can be installed via pip:

    pip install --upgrade tensorflow
    pip install --upgrade tensorflow-gpu

    or by fetching packages directly (pick the one that matches your needs, e.g. x64/gpu)

    # x86 / CPU
    pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_x86_64.whl
    # x64 / CPU
    pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_amd64.whl
    # x64 / GPU
    pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.0-cp35-cp35m-win_amd64.whl
  2. 2


    There are now three main options for building and/or running TensorFlow on Windows:

    • You can install a GPU-enabled PIP package of TensorFlow 0.12rc0 from PyPI: pip install tensorflow-gpu
    • You can build the GPU-enabled PIP package yourself using the experimental CMake build. This also gives you the ability to work with TensorFlow in Visual Studio. The documentation for this build can be found here.
    • There is preliminary support for building TensorFlow using Bazel for Windows. However, we are still ironing out some bugs with this build.
  3. 3


    This may not be exactly what you want one way to run TensorFlow under Windows is to install a virtual machine (VMWare player v12 is free to use for non-commercial) and then install Ubuntu in that and finally TensorFlow in Ubuntu. Works well for me.


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