tensorFlow on mac

客官°小女子只卖身不卖艺 2022-06-01 04:37 142阅读 0赞

reference : [https://www.jianshu.com/p/b7f735930c36][https_www.jianshu.com_p_b7f735930c36]  
[http://blog.csdn.net/u010858605/article/details/64128466][http_blog.csdn.net_u010858605_article_details_64128466]

Anaconda 清华镜像：[https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/][https_mirrors.tuna.tsinghua.edu.cn_anaconda_archive]  
1、基于 Anaconda 的安装  
2、打开shell，添加清华仓库镜像

conda config --add channels      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
    conda config --set show_channel_urls yes

3、创建一个python环境

conda create -n tensorflow python=3.6.2

或者通过界面操作

4、启动tensorflow环境

source activate tensorflow

注：当不使用tensorflow时，关闭tensorflow环境，命令为：source deactivate

5、安装cpu版本的TensorFlow

pip install --upgrade --ignore-installed tensorflow
    
    sunMacBook-Pro:~ sun$ source activate tensorflow
    (tensorflow) sunBook-Pro:~ sun$ pip install --upgrade --ignore-installed tensorflow

6、测试tensorflow

(tensorflow) sunkMacBook-Pro:~ sun$ python
         import tensorflow as tf
         hello = tf.constant('Hello, TensorFlow!')
         sess = tf.Session()
         print(sess.run(hello))
    --'Hello, TensorFlow!'

### 启动Spyder IDE ###

注意：一定要启动tensorflow 环境下的Spyder才可以import tensorflow，不要去开始菜单运行Spyder，在那里是无法运行的，如  
![这里写图片描述][SouthEast]

--------------------

直接安装  
reference : [https://github.com/tensorflow/tensorflow][https_github.com_tensorflow_tensorflow]  
$sudo pip install [https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-mac/TF\_BUILD\_IS\_OPT=OPT,TF\_BUILD\_IS\_PIP=PIP,TF\_BUILD\_PYTHON\_VERSION=PYTHON2,label=mac-slave/lastSuccessfulBuild/artifact/pip\_test/whl/tf\_nightly-1.head-py2-none-any.whl][https_ci.tensorflow.org_view_tf-nightly_job_tf-nightly-mac_TF_BUILD_IS_OPT_OPT_TF_BUILD_IS_PIP_PIP_TF_BUILD_PYTHON_VERSION_PYTHON2_label_mac-slave_lastSuccessfulBuild_artifact_pip_test_whl_tf_nightly-1.head-py2-none-any.whl]

$ python
    ...
    >>> import tensorflow as tf
    >>> hello = tf.constant('Hello, TensorFlow!')
    >>> sess = tf.Session()
    >>> print(sess.run(hello))
    Hello, TensorFlow!

Mac系统10.11及以上升级numpy、scipy等python包报错解决方案  
点击Mac电脑的苹果图标  
选择 重新启动  
按住 command＋R，直到进入还原模式  
选择实用工具，然后点击 终端  
输入 csrutil disable 按下回车  
重启电脑

1.  点击Mac电脑的苹果图标
2.  选择 重新启动
3.  按住 command＋R，直到进入还原模式
4.  选择实用工具，然后点击 终端
5.  输入 csrutil enable 按下回车
6.  重启电脑

[https_www.jianshu.com_p_b7f735930c36]: https://www.jianshu.com/p/b7f735930c36
[http_blog.csdn.net_u010858605_article_details_64128466]: http://blog.csdn.net/u010858605/article/details/64128466
[https_mirrors.tuna.tsinghua.edu.cn_anaconda_archive]: https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
[SouthEast]: /images/20220601/eb8cdbe771ec4e1fabd5348aee6daeb7.png
[https_github.com_tensorflow_tensorflow]: https://github.com/tensorflow/tensorflow
[https_ci.tensorflow.org_view_tf-nightly_job_tf-nightly-mac_TF_BUILD_IS_OPT_OPT_TF_BUILD_IS_PIP_PIP_TF_BUILD_PYTHON_VERSION_PYTHON2_label_mac-slave_lastSuccessfulBuild_artifact_pip_test_whl_tf_nightly-1.head-py2-none-any.whl]: https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-mac/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly-1.head-py2-none-any.whl