Tensorflow

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Revision as of 14:25, 13 September 2016 by KevinYager (talk | contribs) (System-wide CUDA install)
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TensorFlow is an open source library for deep learning.

Installation instructions

System-wide CUDA install

  1. Install CUDA
    1. Download CUDA from the nVidia site (CUDA toolkit 7.5):
      wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1504-7-5-local_7.5-18_amd64.deb
    2. Update root path (if necessary):
      sudo nano /root/.bashrc
      export PATH=$PATH:/usr/local/sbin:/usr/sbin:/sbin:/opt/conda/bin
    3. Install deb (c.f. instructions here):
      sudo -s
      dpkg -i cuda-repo-ubuntu1504-7-5-local_7.5-18_amd64.deb
      apt-get update
      aptitude install cuda
  2. Install CUDA (alternate method, if above doesn't work):
    1. Download CUDA runfile from the nVida site (CUDA toolkit 7.5 runfile):
      wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run
    2. Disable nouveau:
      sudo nano /etc/modprobe.d/blacklist-nouveau.conf
      blacklist nouveau
      options nouveau modeset=0
      sudo -s
      update-initramfs -u
    3. Install
      chmod +x cuda_7.5.18_linux.run
      sudo ./cuda_7.5.18_linux.run
  3. Download cuDNN

Virtualenv method

  1. Set up environment
    1. nano ~/.bashrc
      # Add these lines to the end of your .bashrc file:
      export CUDA_HOME=/usr/local/cuda-7.5
      export LD_LIBRARY_PATH=${CUDA_HOME}/lib64
      PATH=${CUDA_HOME}/bin:${PATH}
      export PATH
  2. Create Virtualenv:
    virtualenv --system-site-packages ~/tensorflow
  3. Activate Virtualenv:
    source ~/tensorflow/bin/activate
    # Prompt should change to start with "(tensorflow)$"
  4. Install TensorFlow into Virtualenv:
    # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7
    # Requires CUDA toolkit 7.5 and CuDNN v5. For other versions, see "Install from sources" below.
    (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl
    (tensorflow)$ pip install --upgrade $TF_BINARY_URL
  5. Test:
    (tensorflow)$ python
    >>> import tensorflow as tf

See Also