OMP error #15 initializing libiomp5md.dll but found libiomp5md.dll already initialized
时间: 2023-11-24 15:50:48 浏览: 59
这个错误通常是由于程序中链接了多个OpenMP运行时库导致的。解决这个问题的方法是删除重复的库文件。根据引用,在Anaconda环境下,可以通过以下步骤解决这个问题:
1. 打开Anaconda Prompt。
2. 输入以下命令,列出所有虚拟环境的路径:`conda info --envs`
3. 找到你的项目所在的虚拟环境的路径,并进入该路径。
4. 在虚拟环境路径下,使用以下命令搜索`libiomp5md.dll`文件:`dir /s libiomp5md.dll`
5. 如果搜索结果显示存在多个`libiomp5md.dll`文件,删除其中一个即可。
以下是删除`libiomp5md.dll`文件的命令:
- Windows命令行:
```
del /s /p libiomp5md.dll
```
- PowerShell:
```
Remove-Item -Path .\libiomp5md.dll -Recurse -Force
```
相关问题
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized 是一个错误报告,提示在程序中初始化了多个 libiomp5md.dll 的副本。这可能会降低性能或导致错误的结果。最好的解决方法是确保只链接一个 OpenMP 运行库到程序中,例如避免在任何库中静态链接 OpenMP 运行库。作为一种不安全、
#### 引用[.reference_title]
- *1* *2* *3* [OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.](https://blog.csdn.net/qq_37164776/article/details/126832303)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 100%"]
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Error #15: Initializing libiomp5md.dll, but found libiomp5 already initialized
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll 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.
这个错误提示表示在程序中链接了多个OpenMP运行时的副本,这是危险的,可能会降低性能或导致不正确的结果。解决这个问题的最佳方法是确保只有一个OpenMP运行时链接到进程中,例如避免在任何库中静态链接OpenMP运行时。作为一种不安全、不受支持、无文档记录的解决方案,您可以设置环境变量 KMP_DUPLICATE_LIB_OK=TRUE 来允许程序继续执行,但这可能会导致崩溃或悄悄地产生不正确的结果。您可以参考Intel官方网站了解更多信息。
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