关于python：在ubuntu18.04中导入错误tensorflow-gpu


Import error tensorflow-gpu in ubuntu18.04

我在导入tensorflow时遇到一些错误。

我的电脑规格：

操作系统：ubuntu 18.04

Nvidia RTX 2080 Ti * 2

Nvidia司机-415

CUDA：10.0

cuDNN：7.3.0
tensorflow：1.11.0

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import tensorflow

错误：

Traceback (most recent call last): File
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py",
line 58, in
from tensorflow.python.pywrap_tensorflow_internal import * File"/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py",
line 28, in
_pywrap_tensorflow_internal = swig_import_helper() File"/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py",
line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) File"/usr/lib/python3.6/imp.py", line 243,
in load_module
return load_dynamic(name, filename, file) File"/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec) ImportError: libcublas.so.9.0: 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"", line 1, in
File
"/usr/local/lib/python3.6/dist-packages/tensorflow/init.py", line
22, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import File
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/init.py",
line 49, in
from tensorflow.python import pywrap_tensorflow File"/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py",
line 74, in
raise ImportError(msg) ImportError: Traceback (most recent call last): File
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py",
line 58, in
from tensorflow.python.pywrap_tensorflow_internal import * File"/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py",
line 28, in
_pywrap_tensorflow_internal = swig_import_helper() File"/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py",
line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) File"/usr/lib/python3.6/imp.py", line 243,
in load_module
return load_dynamic(name, filename, file) File"/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec) 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.

我已经尝试使用ubuntu 16.04，但GPU不支持。
也不支持安装CUDA9.0和CUDA9.2。

我怎么能用tensorflow-gpu？

我已经在?/ .bashrc中使用了app路径

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export PATH=/usr/local/cuda-10.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export CUDA_HOME=/usr/local/cuda-10.0
export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64
export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64$LD_LIBRARY_PATH

tensorflow-gpu包是针对Cuda 9.0构建的，但是您安装了Cuda 10.0。

您需要将您的Cuda版本降级到9.0(但如果我记得，使用2080Ti是不可能的)，或者从源代码构建张量流。 有关如何在tensorflow网站上执行此操作的大量文档

您也可以尝试安装包tf-nightly-gpu。 你应该注意到这个版本更具实验性，因为它没有经过广泛的测试。