Question

刚刚完成张量流程的安装（gpu enable）1.5在Clevo笔记本电脑上，使用nvidia 1060 gpu在linux mint 18.3下运行测试程序时python premade_estimator.py我得到以下错误代码：

    Traceback (most recent call last):
  File "premade_estimator.py", line 20, in <module>
    import tensorflow as tf
  File "/home/empereur/tensorflow/local/lib/python2.7/site-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/home/empereur/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/home/empereur/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/home/empereur/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/empereur/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/empereur/tensorflow/local/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: libcublas.so.9.0: 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.

我安装了cuda驱动程序9.0，如下所示：

nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176

我看一下论坛，大多数问题都是两个版本之间的冲突（不是我的情况）或版本9.0的路径没有完成（我认为我做过）

我对此有点新手，所以非常感谢帮助

如果缺少任何信息，请询问，我会提供信息（但请，我是新手，所以让我知道如何通过命令行获取信息）

这是usr / local /

的内容

empereur @ empereur-Sky-X4C~ $ ls / usr / local / bin cuda
  cuda-9.1游戏lib sbin src兄弟cuda-9.0等
  包括男人分享

以下是usr / local / cuda / lib64 libaccinj64.so

的内容

empereur @ empereur-Sky-X4C~ $ ls / usr / local / cuda / lib64 libaccinj64.so   libcusparse.so.9.1.85 libnppist.so.9.1.85 libaccinj64.so.9.1
  libcusparse_static.a libnppist_static.a libaccinj64.so.9.1.85   libnppc.so libnppisu.so libcublas_device.a
  libnppc.so.9.1 libnppisu.so.9.1 libcublas.so
  libnppc.so.9.1.85 libnppisu.so.9.1.85 libcublas.so.9.1
  libnppc_static.a libnppisu_static.a libcublas.so.9.1.128
  libnppial.so libnppitc.so libcublas.so.9.1.85
  libnppial.so.9.1 libnppitc.so.9.1 libcublas_static.a
  libnppial.so.9.1.85 libnppitc.so.9.1.85 libcudadevrt.a
  libnppial_static.a libnppitc_static.a libcudart.so
  libnppicc.so libnpps.so libcudart.so.9.1
  libnppicc.so.9.1 libnpps.so.9.1 libcudart.so.9.1.85
  libnppicc.so.9.1.85 libnpps.so.9.1.85 libcudart_static.a
  libnppicc_static.a libnpps_static.a libcufft.so
  libnppicom.so libnvblas.so libcufft.so.9.1
  libnppicom.so.9.1 libnvblas.so.9.1 libcufft.so.9.1.85
  libnppicom.so.9.1.85 libnvblas.so.9.1.128 libcufft_static.a
  libnppicom_static.a libnvblas.so.9.1.85 libcufftw.so
  libnppidei.so libnvgraph.so libcufftw.so.9.1
  libnppidei.so.9.1 libnvgraph.so.9.1 libcufftw.so.9.1.85
  libnppidei.so.9.1.85 libnvgraph.so.9.1.85 libcufftw_static.a
  libnppidei_static.a libnvgraph_static.a libcuinj64.so
  libnppif.so libnvrtc-builtins.so libcuinj64.so.9.1
  libnppif.so.9.1 libnvrtc-builtins.so.9.1 libcuinj64.so.9.1.85
  libnppif.so.9.1.85 libnvrtc-builtins.so.9.1.85 libculibos.a
  libnppif_static.a libnvrtc.so libcurand.so libnppig.so   libnvrtc.so.9.1 libcurand.so.9.1 libnppig.so.9.1
  libnvrtc.so.9.1.85 libcurand.so.9.1.85 libnppig.so.9.1.85
  libnvToolsExt.so libcurand_static.a libnppig_static.a
  libnvToolsExt.so.1 libcusolver.so libnppim.so
  libnvToolsExt.so.1.0.0 libcusolver.so.9.1 libnppim.so.9.1
  libOpenCL.so libcusolver.so.9.1.85 libnppim.so.9.1.85
  libOpenCL.so.1 libcusolver_static.a libnppim_static.a
  libOpenCL.so.1.0 libcusparse.so libnppist.so
  libOpenCL.so.1.0.0 libcusparse.so.9.1 libnppist.so.9.1 stubs

Answer 1

感谢大家的帮助，所以我不小心安装了cuda 9.1（需要9.0）。我没有具体强制使用cuda-toolkits上的版本。通过清除cuda 9.1和nvidia-cuda-toolkit并重新安装9.0版本来解决我的问题（不正确）。通过遵循laylog

的建议，可能已经解决了一个更干净的方法

但是，不是清除9.1，而是指向cuda符号链接指向 CUDA-9.0或更新bashrc中的LD_LIBRARY_PATH指向 CUDA-9.0

再次感谢所有人！

张量流1.5安装后出错（linux mint 18.3）

1 个答案: