【问题标题】:ImportError: libcudnn.so.6: cannot open shared object file: No such file or directoryImportError:libcudnn.so.6:无法打开共享对象文件:没有这样的文件或目录
【发布时间】:2018-02-02 09:32:36
【问题描述】:

导入 Tensorflow 时出现以下错误。

    >>> import tensorflow
Traceback (most recent call last):
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/home/jarvis/anaconda3/lib/python3.6/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/home/jarvis/anaconda3/lib/python3.6/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 52, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/jarvis/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/home/jarvis/anaconda3/lib/python3.6/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/home/jarvis/anaconda3/lib/python3.6/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

我也添加了路径变量

$ export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
$ export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

然后系统检测到nvcc。 但是,一旦关闭终端窗口,并在新终端中键入 nvcc -V,它再次显示未安装

【问题讨论】:

    标签: ubuntu tensorflow tensorflow-gpu


    【解决方案1】:

    对我有用的一件事是,我没有使用 'export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64" ' 'export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:~/cuda/lib64" ' 和有效。每次计算机启动时我都必须这样做。不知道 cuda 在我的主文件夹中做什么,也不知道为什么我每次都需要这样做。

    【讨论】:

    • 尝试在您的 .bashrc 文件中添加这两个导出命令。这样您就不必每次都这样做
    【解决方案2】:

    您需要安装 cuDNN v6.0 库。

    请参考以下链接。

    After building TensorFlow from source, seeing libcudart.so and libcudnn errors

    【讨论】:

      【解决方案3】:

      其实我在按照官方安装文档安装tensorflow-gpu的时候遇到了这个问题。我通过更改 tensorflow-gpu 的版本解决了这个问题。

      pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp36-cp36m-linux_x86_64.whl
      

      我将数字 1.3.0 改为 1.2.0 ,它可以工作。新的安装命令如下:

      pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0-cp36-cp36m-linux_x86_64.whl
      

      【讨论】:

        猜你喜欢
        • 1970-01-01
        • 1970-01-01
        • 2018-10-25
        • 2020-10-19
        • 2018-04-17
        • 1970-01-01
        • 2021-09-08
        • 1970-01-01
        • 1970-01-01
        相关资源
        最近更新 更多