在MX150上安装tensorflow-gpu时出错

时间:2018-10-02 07:49:24

标签: linux python-3.x tensorflow caffe

我正在尝试在运行MX150的笔记本电脑上安装tensorflow gpu。我更新了NVIDIA驱动程序,安装了CUDA,安装了CUDnn。但是仍然无法导入Tensorflow。出现以下错误

>>> import tensorflow as tf
Traceback (most recent call last):
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/rohan/anaconda3/envs/tensorflow_env/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/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: libcublas.so.8.0: 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/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 72, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/rohan/anaconda3/envs/tensorflow_env/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/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory

2 个答案:

答案 0 :(得分:0)

您的python版本和CUDA版本之间似乎不匹配。 请通过以下方式检查您的版本:

python --version

nvcc --version

什么是您的OS?您尝试运行哪个版本的Tensorflow? 我建议您在拥有Python和CUDA的精简版本后卸载tensorflow并重新安装它。您可以关注Tesnoeflow with gpu documentation

还请检查与您类似的问题 libcublas.so.8.0 error with tensorflow

答案 1 :(得分:0)

您需要带CUDA工具包10.0的python 3.7版 我也遇到了同样的错误,并通过在系统高级设置中设置cuda path的环境变量来解决了该问题。

如果您安装了两个或多个cuda版本,请确保从环境变量中删除其余部分。

使用以下代码检查是否在jupyter Notebook中使用了gpu。

from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())