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Python内核在带有tensorflow 2的Jupyter Notebook上死亡

更新时间:2022-04-09 00:01:01

尝试了不同的方法后,我使用以下命令在调试模式下运行jupyter notebook:

After trying different things I run jupyter notebook on debug mode by using the command:

jupyter notebook --debug

然后在笔记本上执行命令后,我得到了错误消息:

Then after executing the commands on my notebook I got the error message:

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/.

并在讨论之后,在虚拟环境上安装nomkl对我有用. /p>

And following this discussion, installing nomkl on the virtual environment worked for me.

conda install nomkl