关于tensorflow的安装及配置问题

2017-11-15 04:42:43 432 阅读 AI 写同款 · GEO 优化AI 选题数据监测一键分发 ›

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树莓派Tensorflow以及OpenCV环境安装配置遇到的问题为了测试树莓派+TensorFlow+OpenCV实现物体检测的可行性为此进行对应的环境安装配置，记录对应遇到的问题安装Python2.7及pip 前面已经安装好Python2.7 这里直接使用命令sudo pip install python-pip进行安装（但是后续似乎存在问题）安装matplotlib 第一次网络太慢出现问题，重新安装后解决（建议以后复制链接到浏览器使用迅雷下载）安... 阅读详情

在使用源码方式安装tensorflow的过程中，出现了以下两个问题，不知道如何解决
1.配置时并没有出现configuration finished字样出现具体情况如下
D:\Git\tensorflow>configure.py
You have bazel 0.7.0 installed.
Please specify the location of python. [Default is C:\Python27\python.exe]:

Found possible Python library paths:
C:\Python27\lib\site-packages
Please input the desired Python library path to use. Default is [C:\Python27\lib\site-packages]

Do you wish to build TensorFlow with XLA JIT support? [y/N]:
No XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with GDR support? [y/N]:
No GDR support will be enabled for TensorFlow.

Do you wish to build TensorFlow with VERBS support? [y/N]:
No VERBS support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]:
No CUDA support will be enabled for TensorFlow.

Do you wish to build TensorFlow with MPI support? [y/N]:
No MPI support will be enabled for TensorFlow.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:

Add "--config=mkl" to your bazel command to build with MKL support.
Please note that MKL on MacOS or windows is still not supported.
If you would like to use a local MKL instead of downloading, please set the environment variable "TF_MKL_ROOT" every time before build.
随后我尝试了直接使用bazel安装