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本文介绍了如何在ubuntu上以virtualenv方式安装tensorflow。
# 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
进入你想安装tensorflow的父目录下，然后执行下面命令建立虚拟环境：
virtualenv --system-site-packages tensorflow
对于python27，则执行如下命令：
source ./tensorflow/bin/activate # If using bash source ./tensorflow/bin/activate.csh # If using csh (tensorflow)$ # Your prompt should 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
对于python3则执行如下命令：
source ./tensorflow/bin/activate # If using bash source ./tensorflow/bin/activate.csh # If using csh (tensorflow)$ # Your prompt should 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
在终端执行如下命令进入python shell环境：
python
在python shell环境中测试：
>>> 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 >>>
_mod = imp.load_module(‘_pywrap_tensorflow‘, fp, pathname, description) ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory
那是你的CUDA安装配置不对：
安装CUDA和CUDNN可以参考 这篇文章 。
且添加如下两行到你的 ~/.bashrc 文件
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64" export CUDA_HOME=/usr/local/cuda
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.
由安装报错可知，它使用的是7.0版本，故找不到，而如果你安装的是7.5版本，则可以执行如下命令添加相应链接：
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
sudo ln -s libcurand.so libcurand.so.7.0
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原文地址：http://www.cnblogs.com/simplelovecs/p/5149982.html
