前言
为了进一步提升用（公）户（司）体（利）验（润），数据分析可谓是至关重要的一环，然而由于人工分析数据有诸多限制（计算错误、成本、数学基础要求高等一系列因素），机器学习显得多么重要。于是，我也只能踏上机器学习这条路呀。
开发环境
1. 系统：windows 7
2. 显卡：NVIDIA GeForce GTX 1060 3GB
3. CPU：Intel(R) Core(TM) i7 CPU 860
4. Python 3.7
5. cuda 10.2
6. cudnn 7.6.5
7. TensorFlow 2.0
正式开始
环境都搭建完成了，于是赶紧码上第一行重要的代码
import tensorflow
点击运行，发现报错了，如下：
Traceback (most recent call last):
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.p
y", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_i
nternal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_i
nternal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, descript
ion)
File "F:\Anaconda\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "F:\Anaconda\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed with error code -1073741795
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "F:\Anaconda\lib\site-packages\tensorflow\__init__.py", line 98, in <modu
le>
from tensorflow_core import *
File "F:\Anaconda\lib\site-packages\tensorflow_core\__init__.py", line 40, in
<module>
from tensorflow.python.tools import module_util as _module_util
File "F:\Anaconda\lib\site-packages\tensorflow\__init__.py", line 50, in __get
attr__
module = self._load()
File "F:\Anaconda\lib\site-packages\tensorflow\__init__.py", line 44, in _load
module = _importlib.import_module(self.__name__)
File "F:\Anaconda\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\__init__.py", line
49, in <module>
from tensorflow.python import pywrap_tensorflow
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.p
y", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.p
y", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_i
nternal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "F:\Anaconda\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_i
nternal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, descript
ion)
File "F:\Anaconda\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "F:\Anaconda\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed with error code -1073741795
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.
根据提示我到他们官网的错误集合页面寻找解决办法，从头看到尾发现都没有我这个报错的相关信息。最相似的一个问题的解决办法是重新安装对应版本的cuda和cudnn。
好吧，那我就按照官网的步骤重来一次，直接下载Anaconda ，使用conda命令安装python3.6、tensorflow、cuda、cudnn等所有需要的包，然后重新运行了一遍程序，发现还是报相同的错误(┬＿┬)。到这我确信不可能是我搭建环境的问题，到tensorflow的github主页上提issue，他们给我的答复是我的cpu不支持avx指令，我的cpu也不算老呀，下个cpu-z检测发现果然不支持，他官方文档确实有提到需要支持avx指令cpu（怪我看文档不认真）。
那么公司电脑确实没办法弄tensorflow了，只能用我的笔记本弄的。接下来会写我学习tensorflow到实际运用的过程，期待一下#^_^#
