如何设置虚拟环境以运行Tensorflow基准测试

时间:2018-12-04 19:33:22

标签: python tensorflow benchmarking

我的目的是设置虚拟环境以运行tensorflow benchmark,但是在运行以下代码后,最后一条语句出现错误。请问我应该怎么做才能解决这个问题?仅供参考:我使用的是Python 3.6.7,仅安装了pip和virtualenv软件包,并安装了CUDA 9.2 / cuDNN7(系统路径中的所有dll)。

virtualenv venv
venv\scripts\activate
#now you should be in virtual environment
#install using pip
pip install tf-nightly-gpu

python
import tensorflow

错误消息:

>>> import tensorflow
Traceback (most recent call last):
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\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 "C:\MyWork\testarea\testvirtualenv\venv\lib\imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\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 "C:\MyWork\testarea\testvirtualenv\venv\lib\imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "C:\MyWork\testarea\testvirtualenv\venv\lib\imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: The specified module could not be found.


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/errors

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.
>

1 个答案:

答案 0 :(得分:1)

在写完问题后才找到答案。

在将cudnn64_7.dll(CUDA 9.0的cuDNN 7.3.1)复制到CUDA bin目录之前,先将CUDA 9.2降级到9.0。

最后,以下脚本在两台不同的计算机上产生了两个不同的结果。

virtualenv venv
venv\scripts\activate
pip install tf-nightly-gpu    
python tf_cnn_benchmarks.py --num_gpus=1 --batch_size=32 --model=resnet50 --variable_update=parameter_server

具有GTX 970的第七代四核i7

每秒图像总数:78.16

带有GTX 1080的AMD 1920X

每秒图像总数:147.77