Difference between revisions of "Installing TensorFlow"

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*4. To verify CUDA Toolkit 9.0 is installed, type
*4. To verify CUDA Toolkit 9.0 is installed, type
  nvcc -V
  nvcc -V
*'''Problem encountered''':
*'''Problem encountered''':

Revision as of 17:31, 12 July 2018


Currently installed with Anaconda Python 3.



with cpu support only


need to logoff other users via server manager


New (by Wei and Minh)

Important note: install the version of software/packages strictly according to the instructions provided by Tensorflow. A different version of software, for example CUDA toolkit 9.2 instead of 9.0, might lead to failure in tensorflow.

NVIDIA configuration

(In progress) Before installing tensorflow with GPU, configure the NVIDIA® software by following instruction: https://www.tensorflow.org/install/install_linux#NVIDIARequirements

Install CUDA Toolkit 9.0

  • 1. Installed CUDA Toolkit 9.0 Base Installer with the Runfile option. The toolkit is in

for the toolkit. Did NOT install NVDIA accelerated Graphics Driver for Linux-x86_64 384.81 (We believe we have a different graphic driver. we have a much Newer version(396.26)). Installed the CUDA 9.0 samples in

  • 2. Installed Patch 1, 2 and 3. The command to install was
sudo sh cuda_9.0.176.2_linux.run # ( for patch 1 and for patch 3)
  • 3. Set up the environment variables:

The PATH variable needs to include /usr/local/cuda-9.0/bin To add this path to the PATH variable:

export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}

In addition, when using the runfile installation method, the LD_LIBRARY_PATH variable needs to contain /usr/local/cuda-9.0/lib64 on a 64-bit system To change the environment variables for 64-bit operating systems:

export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64\${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

Note that the above paths change when using a custom install path with the runfile installation method.
To accomplish this:

nano /home/mcnair/.bashrc


export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64\${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

Save and exit. Close and open the terminal (or source .bashrc).

  • 4. To verify CUDA Toolkit 9.0 is installed, type
nvcc -V


  • Problem encountered:

1. In usr/local/ we found files 'CUDA-9.2' and 'CUDA-8.0'. These were probably installed in the past.
2. When execute the following command in a terminal, it returns 'PATH: command not found'.

$ export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}

3. If installed correctly, type nvcc- V should verify installation. But currently it returns 'the program nvcc is currently not installed'.

Tensorflow Installation