Comments (1)
目前我们的NiuTensor框架支持多种CPU加速的库,其中包括MKL和OpenBlas。
加速库是否使用是通过宏定义USE_BLAS来控制的,您遇到的问题是因为您本地环境中并未安装(或并未配置好)这两个加速库,您在编译的时候发生链接错误。
您去掉USE_BLAS的库后,项目将不再使用CPU加速库,因此您可以正常编译。
倘若您希望在本地运行时获得更高的执行效率,那么这里推荐您安装MKL或者OpenBlas的库,然后即可通过添加USE_BLAS以及MKL(或OPENBLAS)的宏定义来编译,从而提升NiuTensor的速度。
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Related Issues (9)
- An undefined error was encountered during installation HOT 1
- Test
- 怎么样训练NiuTensor下的transformer模型? HOT 11
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- 你好 我在安装的时候总是提示缺少libdf.so.2包 请问是什么问题 HOT 3
- 基于CPU的FP16有支持计划么 HOT 1
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