ImportError: libcudnn.so.5: cannot open shared object file: No such file or directory, Python 2.7 with Tensorflow-gpu
ImportError: libcudnn.so.5: cannot open shared object file: No such file or directory, Python 2.7 with Tensorflow-gpu
安装 Nvidia Quadro M4000 后尝试在 python2.7 上启用 tensorflow-gpu。我收到以下错误消息：
奇怪的是它在抱怨 libcudnn.so.5，但我在 /usr/local/cuda/lib64
中有 libcudnn.so.7
感谢任何建议！
~$ 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
无法加载本机 TensorFlow 运行时。
见https://www.tensorflow.org/install/install_sources#common_installation_problems
出于一些常见原因和解决方案。包括整个堆栈跟踪
寻求帮助时出现此错误消息上方。
更新我自己的解决方案。
原来我安装的是cudnn7.0而不是cudnn5.1。
安装cudnn5.1后问题解决了。
干杯！
安装 Nvidia Quadro M4000 后尝试在 python2.7 上启用 tensorflow-gpu。我收到以下错误消息： 奇怪的是它在抱怨 libcudnn.so.5，但我在 /usr/local/cuda/lib64
中有 libcudnn.so.7感谢任何建议！
~$ 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
无法加载本机 TensorFlow 运行时。
见https://www.tensorflow.org/install/install_sources#common_installation_problems
出于一些常见原因和解决方案。包括整个堆栈跟踪 寻求帮助时出现此错误消息上方。
更新我自己的解决方案。 原来我安装的是cudnn7.0而不是cudnn5.1。 安装cudnn5.1后问题解决了。 干杯！