OpenMP Initializing libiomp5.dylib, but found libiomp5.dylib already initialized.

最新推荐文章于 2025-06-08 17:04:01 发布

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最新推荐文章于 2025-06-08 17:04:01 发布

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本文详细介绍了在使用TensorFlow时遇到的OpenMP初始化错误#15的问题，该问题通常由多个OpenMP运行时副本链接到程序中引起，可能导致性能下降或结果不正确。文章提供了设置环境变量KMP_DUPLICATE_LIB_OK的临时解决方案，并推荐了通过conda安装nomkl来避免此问题的方法。

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Using TensorFlow backend.
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/.
Abort trap: 6

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