win10用Anaconda安装Tensorflow步骤及问题解决过程
1.下载 Anaconda
在 > https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
寻找你与你电脑系统对应的版本，我这里使用 Anaconda3-4.2.0-Windows-x86_64.exe
下载并安装完成后，打开 CMD， 输入 ‘conda --version’, 会输出conda版本信息,类似
conda 4.2.5
Anaconda 安装成功。
接下来需要设置 Anaconda 仓库镜像，因为默认连接的是国外镜像地址，下载速度比较慢，我们把镜像地址改为清华大学开源软件镜像站，
- 添加“清华镜像”渠道， 在Anaconda Prompt中执行：
conda config --add channelshttps://mirrors.ustc.edu.cn/anaconda/pkgs/free/ conda config --add channelshttps://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/ conda config --add channelshttps://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --set show_channel_urls yes - 删除配置文件中的 -default 行。路径C:\Users\用户名XXX.condarc
2.安装 TensorFlow
在 Anaconda Prompt 窗口或者cmd下输入以下命令，去创建tensorflow的conda环境：
conda create -n tensorflow python=3.5
按回车。表示创建 TensorFlow 依赖环境，
继续看控制台，直到出现
Proceed ([y]/n)?
提示我们安装哪些依赖软件，输入‘y’，回车。
然后等待安装即可。
#
# To activate this environment, use:
# > activate tensorflow
#
# To deactivate this environment, use:
# > deactivate tensorflow
#
# * for power-users using bash, you must source
#
然后继续输入命令激活tensorflow这个环境：
activate tensorflow
接下来正式安装tensorflow
由于国外的镜像下载比较慢，这里使用的是清华大学镜像仓库
注意：在conda 的tensorflow环境下输入
pip install --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple/
https://mirrors.tuna.tsinghua.edu.cn/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl
3.测试验证是否可以使用。
输入：Python，进入Python编程环境。然后输入：
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello)) 正确的话，会输出：Hello, TensorFlow!
问题及解决办法
1.若出现让你更新pip环境，按照要求更新即可
2.更新完可能会出现如下问题：
这时候使用
python -m pip install --upgrade --force-reinstall pip
3.若出现错误：
C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\dtypes.py:455:
FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is
deprecated; in a future version of numpy, it will be understood as
(type, (1,)) / ‘(1,)type’. _np_qint8 = np.dtype([(“qint8”, np.int8,
1)])
C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\dtypes.py:456:
FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is
deprecated; in a future version of numpy, it will be understood as
(type, (1,)) / ‘(1,)type’. _np_quint8 = np.dtype([(“quint8”,
np.uint8, 1)])
C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\dtypes.py:457:
FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is
deprecated; in a future version of numpy, it will be understood as
(type, (1,)) / ‘(1,)type’. _np_qint16 = np.dtype([(“qint16”,
np.int16, 1)])
C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\dtypes.py:458:
FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is
deprecated; in a future version of numpy, it will be understood as
(type, (1,)) / ‘(1,)type’. _np_quint16 = np.dtype([(“quint16”,
np.uint16, 1)])
C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\dtypes.py:459:
FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is
deprecated; in a future version of numpy, it will be understood as
(type, (1,)) / ‘(1,)type’. _np_qint32 = np.dtype([(“qint32”,
np.int32, 1)])
C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\dtypes.py:462:
FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is
deprecated; in a future version of numpy, it will be understood as
(type, (1,)) / ‘(1,)type’. np_resource = np.dtype([(“resource”,
np.ubyte, 1)])
根据提示，去到安装anaconda的目录下，找到dtypes.py文档，我的路径是
ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework
找到dtypes.py文档，将文档里的
_
np_qint8 = np.dtype([(“qint8”, np.int8, 1)])
修改为
_np_qint8 = np.dtype([(“qint8”, np.int8,(1,))])
_np_quint8 ,_np_qint16,_np_quint16, _np_qint32,np_resource同理。