ImportError：libcudnn.so.5：无法打开共享对象文件：没有这样的文件或目录，带有Tensorflow-gpu的Python 2.7

Question

Trying to enable tensorflow-gpu over python2.7 after installing Nvidia Quadro M4000. I got the below error message: Strange thing is that it's complaining about libcudnn.so.5, but I have libcudnn.so.7 in /usr/local/cuda/lib64

Thanks for any suggestions!

~$ python Python 2.7.13 |Anaconda 4.3.0 (64-bit)| (default, Dec 20 2016, 23:09:15) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 Type "help", "copyright", "credits" or "license" for more information. Anaconda is brought to you by Continuum Analytics. Please check out: http://continuum.io/thanks and https://anaconda.org

import tensorflow as tf Traceback (most recent call last): File "", line 1, in File "/usr/local/google/home/hjchai/anaconda2/lib/python2.7/site-packages/tensorflow/ init .py", line 24, in from tensorflow.python import * File "/usr/local/google/home/hjchai/anaconda2/lib/python2.7/site-packages/tensorflow/python/ init .py", line 49, in from tensorflow.python import pywrap_tensorflow File "/usr/local/google/home/hjchai/anaconda2/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 52, in raise ImportError(msg) ImportError: Traceback (most recent call last): File "/usr/local/google/home/hjchai/anaconda2/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in from tensorflow.python.pywrap_tensorflow_internal import * File "/usr/local/google/home/hjchai/anaconda2/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in _pywrap_tensorflow_internal = swig_import_helper() File "/usr/local/google/home/hjchai/anaconda2 /lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) 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.

Answer 1

Updating with my own solution. It turns out I installed cudnn7.0 rather than cudnn5.1. Problem solved after I install the cudnn5.1. cheers!