Jupyter notebook

 

 

• 问题录

1.  （Ubuntu18.04）在运行程序时，在启动jupyter的Terminal中，出现  “Your CPU supports instructions that this TensorFlow binary was not compiled to use : AVX2 FMA”
   1. 解决方案：    在程序中添加两行代码

      import os
      os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'    # 忽略哪些报告

       

   2.  
2. Ubuntu18.04）在运行程序时，在启动jupyter的Terminal中，出现如下报错：

   Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
   Successfully opened dynamic library libcuda.so.1
   unable to create StreamExecutor for CUDA:0: failed initializing StreamExecutor for CUDA device ordinal 0: Internal: failed call to cuDevicePrimaryCtxRetain: CUDA_ERROR_OUT_OF_MEMORY: out of memory; total memory reported: 8366784512
   Attempting to fetch value instead of handling error Internal: no supported devices found for platform CUDA
   KernelRestarter: restarting kernel (1/5), keep random ports
   WARNING:root:kernel 6dbbeb38-7b12-473a-89c0-51d5a0398abe restarted
   
   Kernel Restarting
   The kernel appears to have died. It will restart automatically.

    
   1.  原因分析：显卡内存不足，因为在使用TensorFlow做人工神经网络运算时，会默认占用GPU所有的显存，这样以防止被其他程序占用。
   2.  问题解决：
      1. 重启 jupyter note book，清除已占用的GPU内存。
      2. 或者：在程序中加入(待验证）

         import os
         os.environ['KMP_DUPLICATE_LIB_OK'] = 'TRUE'

          

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