com / tensorflow / mac / gpu / tensorflow_gpu - 1.0. $ export TF_BINARY_URL = https :// storage. com / tensorflow / mac / cpu / tensorflow - 1.0. com / tensorflow / linux / gpu / tensorflow_gpu - 1.0. For other versions, see "Installing from sources" below. # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 # Requires CUDA toolkit 8.0 and CuDNN v5. com / tensorflow / linux / cpu / tensorflow - 1.0. If the above commands do not work on your system, you can follow these instructions: # Ubuntu/Linux 64-bit, CPU only, Python 2.7 Note you will need pip version 8.1 or later for the following commands to work on Linux : $ pip install tensorflowįor installing the version with GPU support, please use: $ pip install tensorflow - gpu We have also uploaded the binaries to Pypi, so you can simply install tensorflow on Linux, Mac or Windows with pip install. $ sudo apt - get install python - pip python - dev Install pip (or pip3 for python3) if it is not already installed: # Ubuntu/Linux 64-bit The packages that will be installed or upgraded during the pip install are listed in the REQUIRED_PACKAGES section of setup.py. For Windows instructions, please see Pip installation on Windows. We provide pip packages for TensorFlow on Linux, Mac OS X, and Windows. Pip is a package management system used to install and manage software packages written in Python. If you encounter installation errors, see common problems for some solutions. The names of the pip and Docker images are listed in the corresponding installation sections. If you are familiar with Pip, Virtualenv, Anaconda, or Docker, please feel free to adapt the instructions to your particular needs.
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