深度学习|ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
一、问题描述 import tensorflow 时遇到错误，报错如下：
Traceback (most recent call last):
File "", line 1, in
File "/home/thz/anaconda3/envs/python2/lib/python2.7/site-packages/tensorflow/__init__.py", line 24, in
from tensorflow.python import *
File "/home/thz/anaconda3/envs/python2/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "/home/thz/anaconda3/envs/python2/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/home/thz/anaconda3/envs/python2/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/thz/anaconda3/envs/python2/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/thz/anaconda3/envs/python2/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 directoryFailed to load the native TensorFlow runtime.See https://www.tensorflow.org/install/install_sources#common_installation_problemsfor some common reasons and solutions.Include the entire stack trace
above this error message when asking for help.
>>>
主要报错是：
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
二、问题解决 【深度学习|ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory】方法一：
tensorflow 与 CUDA 有版本对应关系：
表格来源：https://www.tensorflow.org/install/source#common_installation_problems
| tensorflow 版本 | Python 版本 | 编译器 | 构建工具 | cuDNN | CUDA |
|---|---|---|---|---|---|
| tensorflow-2.1.0 | 2.7、3.5-3.7 | GCC 7.3.1 | Bazel 0.27.1 | 7.6 | 10.1 |
| tensorflow-2.0.0 | 2.7、3.3-3.7 | GCC 7.3.1 | Bazel 0.26.1 | 7.4 | 10.0 |
| tensorflow_gpu-1.14.0 | 2.7、3.3-3.7 | GCC 4.8 | Bazel 0.24.1 | 7.4 | 10.0 |
| tensorflow_gpu-1.13.1 | 2.7、3.3-3.7 | GCC 4.8 | Bazel 0.19.2 | 7.4 | 10.0 |
| tensorflow_gpu-1.12.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.15.0 | 7 | 9 |
| tensorflow_gpu-1.11.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.15.0 | 7 | 9 |
| tensorflow_gpu-1.10.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.15.0 | 7 | 9 |
| tensorflow_gpu-1.9.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.11.0 | 7 | 9 |
| tensorflow_gpu-1.8.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.10.0 | 7 | 9 |
| tensorflow_gpu-1.7.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.9.0 | 7 | 9 |
| tensorflow_gpu-1.6.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.9.0 | 7 | 9 |
| tensorflow_gpu-1.5.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.8.0 | 7 | 9 |
| tensorflow_gpu-1.4.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.5.4 | 6 | 8 |
| tensorflow_gpu-1.3.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.4.5 | 6 | 8 |
| tensorflow_gpu-1.2.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.4.5 | 5.1 | 8 |
| tensorflow_gpu-1.1.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.4.2 | 5.1 | 8 |
| tensorflow_gpu-1.0.0 | 2.7、3.3-3.6 | GCC 4.8 | Bazel 0.4.2 | 5.1 | 8 |
CUDA-10.2、tensorflow_gpu-1.4.0
表中的 tensorflow-2.1.0 才支持到 CUDA-10.1，我将 tensorflow_gpu-1.4.0 换成了 tensorflow_gpu-1.14.0，问题解决。
方法二：
比较简单，重装 cudatoolkit，如果是使用 conda 虚拟环境，执行下面的命令：
conda install cudatoolkit=9.0
其中 cudatoolkit 版本号是你的报错中 libcublas.so.9.0 中的版本号。
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