Install TensorFlow in virtualenv mode on Ubuntu

Install TensorFlow in virtualenv mode on Ubuntu

This article describes how to install tensorflow in virtualenv mode on Ubuntu.

Install pip and virtualenv:

# Ubuntu/Linux 64-bit

Sudo apt-get install python-pip python-dev python-virtualenv

# Mac OS X

Sudo easy_install pip

Sudo pip install -- upgrade virtualenv

Create a Virtualenv virtual environment:

Go to the parent directory where you want to install tensorflow and run the following command to create a virtual environment:

Virtualenv -- system-site-packages tensorflow

Activate the virtual environment and install tensorflow:

For python27, run the following command:

Source./tensorflow/bin/activate # If using bash

Source./tensorflow/bin/activate. csh # If using csh

(Tensorflow) $ # Your prompt shocould change

# Ubuntu/Linux 64-bit, CPU only:

Pip install -- upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.6.0-cp27-none-linux_x86_64.whl

# Ubuntu/Linux 64-bit, GPU enabled:

Pip install -- upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.6.0-cp27-none-linux_x86_64.whl

# Mac OS X, CPU only:

Pip install -- upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py2-none-any.whl

For python3, run the following command:

Source./tensorflow/bin/activate # If using bash

Source./tensorflow/bin/activate. csh # If using csh

(Tensorflow) $ # Your prompt shocould change

# Ubuntu/Linux 64-bit, CPU only:

Pip install -- upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.6.0-cp34-none-linux_x86_64.whl

# Ubuntu/Linux 64-bit, GPU enabled:

Pip install -- upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.6.0-cp34-none-linux_x86_64.whl

# Mac OS X, CPU only:

Pip3 install -- upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py3-none-any.whl

Test and install:

Run the following command on the terminal to enter the python shell environment:

Python

Test in the python shell environment:

>>> Import tensorflow as tf

>>> Hello = tf. constant ('hello, TensorFlow! ')

>>> Sess = tf. Session ()

>>> Print (sess. run (hello ))

Hello, TensorFlow!

>>> A = tf. constant (10)

>>> B = tf. constant (32)

>>> Print (sess. run (a + B ))

42

>>>

• If the following error occurs:

1

2

_ Mod = imp. load_module ('_ pywrap_tensorflow', fp, pathname, description)

ImportError: libcudart. so.7.0: cannot open shared object file: No such file or directory

That is, your CUDA installation configuration is incorrect:

For more information about installing CUDA and CUDNN, see this article.

Add the following two rows to your ~ /. Bashrc File

Export LD_LIBRARY_PATH = "$ LD_LIBRARY_PATH:/usr/local/cuda/lib64"

Export CUDA_HOME =/usr/local/cuda

• If the following error occurs:

Python 2.7.9 (default, Apr 2 2015, 15:33:21)

[GCC 4.9.2] on linux2

Type "help", "copyright", "credits" or "license" for more information.

>>> Import tensorflow

I tensorflow/stream_executor/dso_loader.cc: 93] Couldn't open CUDA library libcublas. so.7.0.ld_library_path:/usr/local/cuda/lib64

I tensorflow/stream_executor/cuda/cuda_blas.cc: 2188] Unable to load cuBLAS DSO.

I tensorflow/stream_executor/dso_loader.cc: 93] Couldn't open CUDA library libcudnn. so.6.5. LD_LIBRARY_PATH:/usr/local/cuda/lib64

I tensorflow/stream_executor/cuda/cuda_dnn.cc: 1382] Unable to load cuDNN DSO

I tensorflow/stream_executor/dso_loader.cc: 93] Couldn't open CUDA library libcufft. so.7.0.ld_library_path:/usr/local/cuda/lib64

I tensorflow/stream_executor/cuda/cuda_fft.cc: 343] Unable to load cuFFT DSO.

I tensorflow/stream_executor/dso_loader.cc: 101] successfully opened CUDA library libcuda. so locally

I tensorflow/stream_executor/dso_loader.cc: 93] Couldn't open CUDA library libcurand. so.7.0.ld_library_path:/usr/local/cuda/lib64

I tensorflow/stream_executor/cuda/cuda_rng.cc: 333] Unable to load cuRAND DSO.

According to the installation error, we can see that it uses version 7.0, so it cannot be found. If you install version 7.5, you can run the following command to add the corresponding link:

Sudo ln-s/usr/local/cuda/lib64/libcudart. so.7.5/usr/local/cuda/lib64/libcudart. so.7.0

Sudo ln-s libcublas. so.7.5 libcublas. so.7.0

Sudo ln-s libcudnn. so.4.0.4 libcudnn. so.6.5

Sudo ln-s libcufft. so libcufft. so.7.0 <br> sudo ln-s libcurand. so libcurand. so.7.0

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