在Spyder中導入張量流時出錯

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

四個問題。

{1} 「未能加載天然TensorFlow運行時」錯誤在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負載而不會從命令提示符（多）問題

令人困惑的是，當我通過anaconda提示加載tensorflow - >激活tensorflow - > python - >導入tensorflow時：導入tensorflow時沒有錯誤。

怎麼回事？如果tensorflow庫只安裝了某些環境中Spyder的錯誤消息應該是「無模塊命名TensorFlow」 ......

{3}有些不符運行的例子

當現在，當我運行anaconda提示中的測試代碼：

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

我得到以下「錯誤」？

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.

但我仍然可以運行測試「打印（sess.run（你好））」的最後一部分，得到以下結果。

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

在你面前的'b'不應該在那裏，但是當我運行代碼時總是存在。爲什麼？

{4}沒有已知的設備錯誤 - GPU無法識別？ 最後，當我檢查正在使用的設備時，tensorflow似乎無法識別GPU。爲什麼？我嘗試卸載，重新安裝tensorflow和tensorflow-GPU分開無濟於事。

>>> 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:

任何幫助將不勝感激。謝謝， CN

來源

2017-08-14 CockneyNinja

對於你的{1}問題，因爲你在{2}中激活了Tensorflow，我猜你的Spyder被安裝在不同的環境中。也許你可以嘗試從首選項 - >控制檯 - >高級設置中更改Spyder的python解釋器。對於{4}，您是否安裝了Nvidia Cuda工具？希望這會有所幫助。

最好，羅賓

來源

2017-08-14 23:44:23

謝謝，羅賓。 CUDA 8.0（和cuDNN）已經安裝，儘管現在我不確定它是否被正確安裝。 NVIDIA的示例程序不再用於驗證安裝。 – CockneyNinja

在Spyder中導入張量流時出錯

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