非法指令(核心转储)张量流

本文介绍了非法指令(核心转储)张量流的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我正在我的ubuntu python中导入tensorflow 使用以下命令-

I am importing tensorflow in my ubuntu python using following commands-

$ python3 Python 3.5.2 (default, Nov 23 2017, 16:37:01) [GCC 5.4.0 20160609] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf Illegal instruction (core dumped)

然后程序退出. 请指定解决方案.

And the program exits. Please specify the solution.

推荐答案

我遇到了同样的问题，不得不将tensorflow降级为1.5.0:

I had the same problem and had to downgrade tensorflow to 1.5.0:

pip uninstall tensorflow pip install tensorflow==1.5.0

正如@Tobsta在评论中指出的那样，另一种选择是从源代码编译二进制文件.版本大于1.5的预编译二进制文件使用旧CPU不支持的 AVX 指令

As @Tobsta points out in the comments, the other option is to compile the binaries from source. The precompiled binaries of versions >1.5 use AVX instructions that are not supported by older CPUs