更换科大源：https://blog.csdn.net/hzyyun/article/details/82467173

解决下载很慢参考：https://blog.csdn.net/jorg_zhao/article/details/80075293

升级Ubuntu自带Python版本：https://blog.csdn.net/caokun_8341/article/details/91380668

解决TensorFlow更新不了：https://blog.csdn.net/lwplwf/article/details/75151050

查看本地TensorFlow版本：https://blog.csdn.net/qq_40614981/article/details/83035783

安装环境：Ubuntu 18.04 64位，VMware中的虚拟机

安装过程（在安装过程中,主要参考了[1]，但是有些安装语句要改一下，不然会出现问题）：

Step1.安装Anaconda3最新版本，不需要另外再装Python3.7,Anaconda3安装时会装Python3环境（已下载）

Step2.安装最新版TensorFlow(现在是2.0.0)，老版本会搭建不成功（已下载）

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple/ tensorFlow
 
 
  

Step3.开始安装tensorflow_federated

• 安装TensorFlow依赖挺麻烦的，后期方便创建虚拟环境

conda create -n tf-fed python=3.7 tensorflow --yes
 
 
  

• 激活空间

conda activate tf-fed
 
 
  

       import tensorflow报错：import-im6.q16: not authorized `tensorflow' @ error/constitute.c/WriteImage/1037.

       解决办法：没打开Python

• 安装tensorflow_federated，会自动选择合适的版本下载，指定tensorflow_federated版本容易出错

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple/ tensorflow_federated
 
 
  

• 验证是否安装成功

python -c "import tensorflow_federated as tff; print(tff.federated_computation(lambda: 'Hello World')())"

 
 
  

 
 
  

   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

      
     
     (base) ubuntu@ubuntu:~$ conda activate tf-fed
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

      
     
     (tf-fed) ubuntu@ubuntu:~$ python
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

      
     
     Python 
     
     
      3.7
     
     
      .5 (default, Oct 
     
     
      25 
     
     
      2019, 
     
     
      15:
     
     
      51:
     
     
      11) 
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

      
     
     [GCC 
     
     
      7.3
     
     
      .0] :: Anaconda, Inc. on linux
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

      
     
     Type 
     
     
      "help", 
     
     
      "copyright", 
     
     
      "credits" 
     
     
      or 
     
     
      "license" 
     
     
      for more information.
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      >>> 
     
     
      import tensorflow_federated 
     
     
      as tff; print(tff.federated_computation(
     
     
      lambda: 
     
     
      'Hello World')())
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      2019
     
     
      -11
     
     
      -27 
     
     
      20:
     
     
      58:
     
     
      24.351891: W tensorflow/stream_executor/platform/default/dso_loader.cc:
     
     
      55] Could 
     
     
      not load dynamic library 
     
     
      'libcuda.so.1'; dlerror: libcuda.so
     
     
      .1: cannot open shared object file: No such file 
     
     
      or directory
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      2019
     
     
      -11
     
     
      -27 
     
     
      20:
     
     
      58:
     
     
      24.351966: E tensorflow/stream_executor/cuda/cuda_driver.cc:
     
     
      318] failed call to cuInit: UNKNOWN ERROR (
     
     
      303)
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      2019
     
     
      -11
     
     
      -27 
     
     
      20:
     
     
      58:
     
     
      24.352014: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:
     
     
      156] kernel driver does 
     
     
      not appear to be running on this host (ubuntu): /proc/driver/nvidia/version does 
     
     
      not exist
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      2019
     
     
      -11
     
     
      -27 
     
     
      20:
     
     
      58:
     
     
      24.352231: I tensorflow/core/platform/cpu_feature_guard.cc:
     
     
      142] Your CPU supports instructions that this TensorFlow binary was 
     
     
      not compiled to use: AVX2 FMA
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      2019
     
     
      -11
     
     
      -27 
     
     
      20:
     
     
      58:
     
     
      24.356962: I tensorflow/core/platform/profile_utils/cpu_utils.cc:
     
     
      94] CPU Frequency: 
     
     
      2903995000 Hz
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      2019
     
     
      -11
     
     
      -27 
     
     
      20:
     
     
      58:
     
     
      24.357098: I tensorflow/compiler/xla/service/service.cc:
     
     
      168] XLA service 
     
     
      0x55cb1958fc70 executing computations on platform Host. Devices:
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      2019
     
     
      -11
     
     
      -27 
     
     
      20:
     
     
      58:
     
     
      24.357156: I tensorflow/compiler/xla/service/service.cc:
     
     
      175]   StreamExecutor device (
     
     
      0): Host, Default Version
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

      
     
     Hello World
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      >>> tff.__version__
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      '0.10.1'
    
    
     
   
   
    
   

   
   
    

    
    
     

   
   
    
   
   
    

    
    
     

     
     
      >>> 
    
    
     
   
   
    
  
 
 
  

Step4