内核似乎已经死亡。导入keras时它将自动重启

时间:2019-03-01 08:09:31

标签: python tensorflow keras anaconda conv-neural-network

 I tensorflow/core/platform/cpu_feature_guard.cc:141] 
Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-03-01 13:28:52.359818: 
I tensorflow/core/common_runtime/process_util.cc:69] 
Creating new thread pool with default inter op setting: 4. Tune using inter_op_parallelism_threads for best performance.
OMP: Error #15: Initializing libiomp5.dylib, but found libiomp5.dylib already initialized.
OMP: Hint: This means that multiple copies of the OpenMP runtime have been linked into the program. 
That is dangerous, since it can degrade performance or cause incorrect results.
The best thing to do is to ensure that only a single OpenMP runtime is linked into the process,
e.g. by avoiding static linking of the OpenMP runtime in any library. 
As an unsafe, unsupported, undocumented workaround you can set the environment variable 
KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, 
but that may cause crashes or silently produce incorrect results. 
For more information, please see http://www.intel.com/software/products/support/.
[I 13:28:54.653 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports
WARNING:root:kernel e204cf35-4878-4b73-b450-1e8a1fa8c844 restarted

每当我尝试在木星NB上构建keras神经网络时。内核会自动死亡,并且它会在每个神经网络中发生。

0 个答案:

没有答案