tensorflow报错信息

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于 2019-03-28 14:25:56 发布

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文章标签： tensorflow

本文链接：https://blog.youkuaiyun.com/jancywen/article/details/88868306

本文介绍了一种常见的OpenMP运行时错误，即多次初始化导致的问题，并提供了一个简单但不建议的做法来绕过此错误，同时也强调了正确的做法是确保程序中只有一个OpenMP运行时被链接。

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报错信息

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/.

解决办法：

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

持续更新中。。。。。