在Spyder中导入张量流时出错

（蟒蛇4.3.24，Python的3.6.1，TensorFlow：1.2.1，GPU：NVIDIA 1060 6GB）目前

四个问题。

{1} “未能加载天然TensorFlow运行时” 错误在Spyder的

File "D:/Programs/Codes-Python/OpenCVtest.py", line 13, in <module> 
    import tensorflow as tf 

    File "D:\Programs\Anaconda\lib\site-packages\tensorflow\__init__.py", line 24, in <module> 
    from tensorflow.python import * 

    File "D:\Programs\Anaconda\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module> 
    from tensorflow.python import pywrap_tensorflow 

    File "D:\Programs\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 52, in <module> 
    raise ImportError(msg) 

ImportError: Traceback (most recent call last): 
    File "D:\Programs\Anaconda\lib\site- 
packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in 
swig_import_helper 
    return importlib.import_module(mname) 
    File "D:\Programs\Anaconda\lib\importlib\__init__.py", line 126, in 
import_module 
    return _bootstrap._gcd_import(name[level:], package, level) 
    File "<frozen importlib._bootstrap>", line 978, in _gcd_import 
    File "<frozen importlib._bootstrap>", line 961, in _find_and_load 
    File "<frozen importlib._bootstrap>", line 950, in _find_and_load_unlocked 
    File "<frozen importlib._bootstrap>", line 648, in _load_unlocked 
    File "<frozen importlib._bootstrap>", line 560, in module_from_spec 
    File "<frozen importlib._bootstrap_external>", line 922, in create_module 
    File "<frozen importlib._bootstrap>", line 205, in _call_with_frames_removed 
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 "D:\Programs\Anaconda\lib\site- 
packages\tensorflow\python\pywrap_tensorflow.py", line 41, in <module> 
from tensorflow.python.pywrap_tensorflow_internal import * 
    File "D:\Programs\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 21, in <module> 
_pywrap_tensorflow_internal = swig_import_helper() 
    File "D:\Programs\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 20, in swig_import_helper 
return importlib.import_module('_pywrap_tensorflow_internal') 
    File "D:\Programs\Anaconda\lib\importlib\__init__.py", line 126, in import_module 
return _bootstrap._gcd_import(name[level:], package, level) 
ModuleNotFoundError: No module named '_pywrap_tensorflow_internal' 


Failed to load the native TensorFlow runtime.

{2} ...但tensorflow负载而不会从命令提示符（多）问题

令人困惑的是，当我通过anaconda提示加载tensorflow - >激活tensorflow - > python - >导入tensorflow时：导入tensorflow时没有错误。

怎么回事？如果tensorflow库只安装了某些环境中Spyder的错误消息应该是“无模块命名TensorFlow” ......

{3}有些不符运行的例子

当现在，当我运行anaconda提示中的测试代码：

>>> import tensorflow as tf 
>>> hello = tf.constant('Hello, TensorFlow!') 
>>> sess = tf.Session()

我得到以下“错误”？

2017-08-14 23:39:37.137745: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-14 23:39:37.137929: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-14 23:39:37.139157: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-14 23:39:37.139677: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-14 23:39:37.140599: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-14 23:39:37.141239: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-14 23:39:37.141915: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-14 23:39:37.142529: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.

但我仍然可以运行测试“打印（sess.run（你好））”的最后一部分，得到以下结果。

>>> print(sess.run(hello)) 
b'Hello, TensorFlow!'

在你面前的'b'不应该在那里，但是当我运行代码时总是存在。为什么？

{4}没有已知的设备错误 - GPU无法识别？ 最后，当我检查正在使用的设备时，tensorflow似乎无法识别GPU。为什么？我尝试卸载，重新安装tensorflow和tensorflow-GPU分开无济于事。

>>> sess = tf.Session(config = tf.ConfigProto(log_device_placement=True)) 
Device mapping: no known devices. 
2017-08-14 23:50:42.624086: I c:\tf_jenkins\home\workspace\release-win\m\windows\py\36\tensorflow\core\common_runtime\direct_session.cc:265] Device mapping:

任何帮助将不胜感激。谢谢， CN

来源

2017-08-14 CockneyNinja

对于你的{1}问题，因为你在{2}中激活了Tensorflow，我猜你的Spyder被安装在不同的环境中。也许你可以尝试从首选项 - >控制台 - >高级设置中更改Spyder的python解释器。对于{4}，您是否安装了Nvidia Cuda工具？希望这会有所帮助。

最好，罗宾

来源

2017-08-14 23:44:23

谢谢，罗宾。 CUDA 8.0（和cuDNN）已经安装，尽管现在我不确定它是否被正确安装。 NVIDIA的示例程序不再用于验证安装。 – CockneyNinja

在Spyder中导入张量流时出错

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