Installing Tensorflow on CentOS7

Post date: 2017/05/04 5:51:10

1. Installation
   • # yum -y install python-pip python-devel
   • # yum -y install gcc gcc-c++ python-pip python-devel atlas atlas-devel gcc-gfortran openssl-devel libffi-devel
   • $ pip install --upgrade virtualenv
   • $ virtualenv --system-site-packages ~/venvs/tensorflow
   • $ source ~/venvs/tensorflow/bin/activate (tensorflow)
   • $ pip install --upgrade numpy scipy wheel cryptography (tensorflow)
   • $ pip install --upgrade tensorflow-gpu
   • Collecting tensorflow-gpu Downloading tensorflow_gpu-1.1.0-cp27-cp27mu-manylinux1_x86_64.whl (84.1MB) ...
2. Validation (失敗 : cuDNN v.5 がインストールされていない)
   • (tensorflow) $ python
   • >>> import tensorflow as tf
   • ... ImportError: libcudnn.so.5: cannot open shared object file: No such file or directory
   • Failed to load the native TensorFlow runtime. See https://www.tensorflow.org/install/install_sources#common_installation_problems
   • for some common reasons and solutions.
   • Include the entire stack trace above this error message when asking for help.
   • >>>
3. Installation cuDNN v.5
   1. Download cuDNN v5 (May 27, 2016), for CUDA 8.0 : cuDNN v5 Library for Linux
   • $ tar zxvf cudnn-8.0-linux-x64-v5.0.solitairetheme8
   • # cp -a lib64/* /usr/local/cuda/lib64/
   • # cp -a include/cudnn.h /usr/local/cuda/include/

• Validation
  • $ source ~/venvs/tensorflow/bin/activate
  • (tensorflow) $ python
  • Python 2.7.5 (default, Nov 6 2016, 00:28:07) [GCC 4.8.5 20150623 (Red Hat 4.8.5-11)] on linux2 Type "help", "copyright", "credits" or "license" for more information.
  • >>> import tensorflow as tf
  • >>> hello = tf.constant('Hello, TensorFlow!')
  • >>> sess = tf.Session()
  • 2017-05-04 16:26:03.801993: W tensorflow/core/platform/cpu_feature_guard.cc:45]
  • The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-05-04 16:26:03.802038: W tensorflow/core/platform/cpu_feature_guard.cc:45]
  • The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-05-04 16:26:03.802049: W tensorflow/core/platform/cpu_feature_guard.cc:45]
  • The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. ...
  • >>> print(sess.run(hello)) Hello, TensorFlow!
  • >>> ^D
  • (tensorflow) $ deactivate
  • $

Ref:

• Installing TensorFlow on Ubuntu
• install_tensorflow_centos7.sh
• CentOS7にTensorFlowをインストールする