Tensorflow install on Anaconda3 win7 x64——法1

安装方法1：

1.install

  Before install tensorflow,install Anaconda3-4.3.0.1-Windows-x86_64.exe first

1）conda create -n tensorflow python=3.5,若失败->2,否则—>3
2）更新anaconda conda update anaconda
3）activate tensorflow,变成这样：（tensorflow）...>>

4）pip install tensorflow 一下操作均针对CPU版本
CPU版本：pip install --upgrade --ignore-nstalled 
https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35 mwin_ 

amd64.whl

（GPU版本：pip install --ignore-installed --upgrade https://storage.

googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl ）

5）activate your Anaconda environment.
open Anaconda Navigator->find tensorflow->Left click open Terminal->C:\> pip install --

upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_amd64.whl

6)test:

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A.open Anaconda Prompt->python->input follows:
import tensorflow as tf
import os
#os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
print('TensorFlow version: {0}'.format(tf.__version__))
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()

print(sess.run(hello))

###################################

B.test on PyCharm:
open pycharm->File->Settings->Project Interpreter->choose the python.exe in tensorflow->OK
create a file test.py,copy the code and run

output:

###################################

E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for 
unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: 
FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for 
unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: 
SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: 
ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: 
TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: 
TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: 
TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework
\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: 
UpdateFertileSlots
b'Hello, TensorFlow!'

Process finished with exit code 0

Congratulations！Successful test.

C.To hide the warnings/errors, you can use os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3', e.g.:

###################################

input:

###################################

import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
print('TensorFlow version: {0}'.format(tf.__version__))
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
###################################
output:
###################################
b'Hello, TensorFlow!'

Process finished with exit code 0

############################################

总结：这个版本安装如果觉得不满意，可以转到我的另一篇博文《Tensorflow install  on Anaconda4.2 win7 x64——法2》，但是例子还是可以借用。

参考官方文档：https://www.tensorflow.org/install/install_windows