Question

我正在使用PyCharm进行远程调试，客户端Win10，服务器Ubuntu 16.在Ubuntu机器上，我正确安装了Cuda 8.0，以及python 2.7和tensorflow 1.0.0。 Tensorflow完美地从服务器上运行（ssh +调用python，导入tensorflow等...）。

在PyCharm中我为我的服务器机器设置了一个远程调试器，但是现在导入tensorflow会导致错误：

Traceback (most recent call last):
  File "/home/*****/*****/********/*******.py", line 24, in <module>
    import tensorflow as tf
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 60, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
    _pywrap_tensorflow = swig_import_helper()
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: libcudart.so.8.0: cannot open shared object file: No such file or directory


Error importing tensorflow.  Unless you are using bazel,
you should not try to import tensorflow from its source directory;
please exit the tensorflow source tree, and relaunch your python interpreter
from there.

我试过了：

将正确的路径添加到sys.path变量

将LD_LIBRARY_PATH添加到os.environ和/或PyCharm环境变量

没有成功！

我记得很久以前我能够毫无问题地进行调试，但我无法弄清楚出了什么问题。有什么建议吗？

更新1 重新启动后，错误已更改为此

ssh://****@192.168.***.***:22/usr/bin/python -u /home/*****/.pycharm_helpers/pydev/pydevd.py --multiproc --qt-support --client '0.0.0.0' --port 35523 --file /home/*/*/*/*/test.py
warning: Debugger speedups using cython not found. Run '"/usr/bin/python" "/home/*/.pycharm_helpers/pydev/setup_cython.py" build_ext --inplace' to build.
pydev debugger: process 1913 is connecting

Connected to pydev debugger (build 163.10154.50)
Traceback (most recent call last):
  File "/home/*/.pycharm_helpers/pydev/pydevd.py", line 1596, in <module>
    globals = debugger.run(setup['file'], None, None, is_module)
  File "/home/*/.pycharm_helpers/pydev/pydevd.py", line 974, in run
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "/home/*/*/*/*/test.py", line 1, in <module>
    import tensorflow
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 72, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 61, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
    _pywrap_tensorflow = swig_import_helper()
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: libcudart.so.8.0: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md#import_error

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

Process finished with exit code 1

更新2 /已解决 正如我之前尝试过的，解决方案是在配置面板上将LD_LIBRARY_PATH添加到pycharm上的环境变量。我认为之前它不适用于名称后的空格（ - ＆gt;'LD_LIBRARY_PATH'）。这里的解决方案： solution

Answer 1

解决方案是将正确的路径添加到Pycharm环境面板：

LD_LIBRARY_PATH='/usr/local/cuda/lib64'

或适合您配置的那个。

Answer 2

您收到的错误消息是＆＃34;请退出tensorflow源代码树，然后从那里重新启动您的python解释器。＆＃34;。

如果您下载tensorflow源，手动编译等安装它，然后在源文件夹中启动python并导入tensorflow，通常会收到此错误消息。

您可以尝试阻止此错误： - 检查tensorflow源是否在您运行远程应用程序的文件夹中（您是否按照这样的方式使其正常工作？http://www.pinchofintelligence.com/faster-writing-and-testing-machine-learning-applications/） - 尝试查找并删除tensorflow源文件夹 - 重新启动你的电脑（这会清除你正在运行你的东西的/ tmp文件夹）

希望其中一件事有效，请告诉我！

Answer 3

远程nvidia-docker案例

我花了几个小时来解决类似的问题。我实际上多次阅读了stackoverflow，并毫不费力地添加了所有这些env变量。

因此，如果您的远程nvidia-docker安装了ssh，请阅读以下主题： https://github.com/bethgelab/docker/issues/5

nvidia-docker在与ssh连接时无法正确启动终端。

Pycharm实际上使用ssh进行连接以进行远程调试，因此它也无法启动tensorflow-gpu

PyCharm远程解释器和Tensorflow - ＆gt;无法导入Cudart.so

3 个答案: