我有一台运行Ubuntu16.04的linux机器,nvidiageforce1060。我运行的是python3.6(使用anaconda安装)和CUDA9.1
我很高兴用tensorlow用CPU编写代码,没有任何问题。然后我想安装tensorflow-gpu
,这就是我遇到问题的地方。在
首次安装cudnn7.1.2成功(make
并运行mnist-cudnn
成功完成)
pip3 install tensorflow_gpu-1.7.0-cp36-cp36m-manylinux1_x86_64.whl
import tensorflow as tf
我得到以下错误
Traceback (most recent call last):
File "/home/bony/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/bony/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/bony/anaconda3/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/bony/anaconda3/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/bony/anaconda3/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 "<stdin>", line 1, in <module>
File "/home/bony/anaconda3/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import * # pylint: disable=redefined-builtin
File "/home/bony/anaconda3/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/home/bony/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/home/bony/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/bony/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/bony/anaconda3/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/bony/anaconda3/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/bony/anaconda3/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.
如果您能帮我解决这个问题并让我继续工作,我们将不胜感激
首先,在NVIDIA requirements to run TensorFlow with GPU support的官方网页部分,我们可以知道:
所以卸载Cuda9.1。在
Synaptic Package Manager
,然后搜索cuda
并选择{Synaptic Package Manager
Mark for install
安装cnDNN v7.0
cuDNN v7.0.5 Developer Library for Ubuntu16.04 (Deb)
,因为它是Cuda-9.0的最新版本cudnv7.0安装
cuda-command-line-tools
sudo apt-get install cuda-command-line-tools
如果找不到
cuda-command-line-tools
sudo apt-cache search cuda-command-line-tool
然后选择安装
cuda-command-line-tool-9.0
按照官方文档,将其路径添加到LD_LIBRARY_path环境变量中
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:+${LD_LIBRARY_PATH}:}/usr/local/cuda/extras/CUPTI/lib64
我使用的是Anaconda3,我使用conda命令创建环境包括py3.5名称py35。
source activate py35
和{您可以选择tensorflow-gpu哪一个支持您的python版本。
Validate your installation
import tensorflow as tf hello = tf.constant('Hello, TensorFlow!') sess = tf.Session() print(sess.run(hello))
Hello, TensorFlow!
,那么就可以开始编写TensorFlow程序了。在祝你好运。在
1] conda install -c anaconda tensorflow-gpu
2] conda install -c aaronzs tensorflow-gpu
相关问题 更多 >
编程相关推荐