【发布时间】：2017-12-26 18:02:22
【问题描述】：
我访问了the tensorflow page 并按照Installing with Anaconda 部分的说明进行操作。当我尝试验证我的安装时，出现以下错误
(C:\ProgramData\Anaconda3) C:\Users\nik>python
Python 3.6.1 |Anaconda 4.4.0 (64-bit)| (default, May 11 2017, 13:25:24) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'tensorflow'
>>> hello = tf.constant('Hello, TensorFlow!')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'tf' is not defined
>>> exit
Use exit() or Ctrl-Z plus Return to exit
>>> exit()
然后我尝试了
(C:\ProgramData\Anaconda3) C:\Users\nik>activate tensorflow
(tensorflow) C:\Users\nik>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.2.1-cp35-cp35m-win_amd64.whl
Collecting tensorflow==1.2.1 from https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.2.1-cp35-cp35m-win_amd64.whl
Using cached https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.2.1-cp35-cp35m-win_amd64.whl
Collecting bleach==1.5.0 (from tensorflow==1.2.1)
Using cached bleach-1.5.0-py2.py3-none-any.whl
Collecting html5lib==0.9999999 (from tensorflow==1.2.1)
Collecting backports.weakref==1.0rc1 (from tensorflow==1.2.1)
Using cached backports.weakref-1.0rc1-py3-none-any.whl
Collecting werkzeug>=0.11.10 (from tensorflow==1.2.1)
Using cached Werkzeug-0.12.2-py2.py3-none-any.whl
Collecting markdown>=2.6.8 (from tensorflow==1.2.1)
Collecting protobuf>=3.2.0 (from tensorflow==1.2.1)
Collecting numpy>=1.11.0 (from tensorflow==1.2.1)
Using cached numpy-1.13.1-cp35-none-win_amd64.whl
Collecting six>=1.10.0 (from tensorflow==1.2.1)
Using cached six-1.10.0-py2.py3-none-any.whl
Collecting wheel>=0.26 (from tensorflow==1.2.1)
Using cached wheel-0.29.0-py2.py3-none-any.whl
Collecting setuptools (from protobuf>=3.2.0->tensorflow==1.2.1)
Using cached setuptools-36.2.0-py2.py3-none-any.whl
Installing collected packages: six, html5lib, bleach, backports.weakref, werkzeug, markdown, setuptools, protobuf, numpy, wheel, tensorflow
Successfully installed backports.weakref-1.0rc1 bleach-1.5.0 html5lib-0.9999999 markdown-2.6.8 numpy-1.13.1 protobuf-3.3.0 setuptools-36.2.0 six-1.10.0 tensorflow-1.2.1 werkzeug-0.12.2 wheel-0.29.0
(tensorflow) C:\Users\nik>python
Python 3.5.3 |Continuum Analytics, Inc.| (default, May 15 2017, 10:43:23) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
2017-07-20 12:20:26.177654: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2017-07-20 12:20:26.178276: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2017-07-20 12:20:26.178687: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2017-07-20 12:20:26.179189: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2017-07-20 12:20:26.179713: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2017-07-20 12:20:26.180250: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2017-07-20 12:20:26.180687: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2017-07-20 12:20:26.181092: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
>>> print(sess.run(hello))
b'Hello, TensorFlow!'
我的问题如下 - 我的主要问题是问题 3：
- 我想在输入命令后验证安装 -
activate tensorflow如上面第二个命令块所示？ - 为什么我收到多条指令后
命令
sess = tf.Session()? -
我可以在 蜘蛛侠？如何？我在下面尝试过，但在 SPYDER gui 中，但没有成功:(
激活张量流
文件“”，第 1 行
activate tensorflow
^
SyntaxError: invalid syntax
import tensorflow as tf
Traceback (most recent call last):
File "<ipython-input-2-41389fad42b5>", line 1, in <module>
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'
【问题讨论】：
-
activate不是 python 命令。这是一个shell脚本。要使用tensorflow，请在tensorflow环境中使用python。 -
我还是不清楚。请再次解释我如何在 spyder gui 中使用 tensorflow
-
您有多个
anaconda环境，其中两个名为root和tensorflow。如果您知道安装 anaconda 的位置，则环境将位于envs/子目录中，而您需要的python位于envs/tensorflow/bin/python中。conda env list将列出您的所有环境。 -
目前还不清楚。我去了
.conda文件夹，我有一个名为enviroments的文件，它有C:\Users\nik\AppData\Local\conda\conda\envs\tensorflow。我需要在这里添加一些东西吗？ -
有了这些信息，你需要的python是
C:\Users\nik\AppData\Local\conda\conda\envs\tensorflow\bin\python。
标签： python windows tensorflow anaconda spyder