1. Problems
Write a simple single-layer neural network run MNIST handwritten numeral set, the result of each fit will appear dead kernel
For many dead kernels, first of all, don’t rush to search the Internet to find out how to solve the problem. Because the reasons are different, you should go to the bash terminal of notebook to check the error information, which is as follows:
It’s better to see a blog explaining this problem:
https://blog.csdn.net/qq_ 41185868/article/details/79127838#comments
According to the error report, first understand what AVX is
AVX is a kind of extended instruction, which needs the cooperation of CPU and protocol, but my tensorflow doesn’t support it.
2. Solutions
Maybe it’s because the Mac version of tensorflow is lower (compared with windows, it can’t be upgraded disorderly), so how to solve it?
It’s OK. I also want to find out what’s behind this, but it seems that the more I look at it, the more complicated it becomes. -It’s better to ignore the warning and run the code
Similar Posts:
- After tensorflow is installed, an error occurred during import: importerror: DLL load failed: the specified module cannot be found
- ModuleNotFoundError: No module named ‘_pywrap_tensorflow_internal’ [How to Solve]
- 「ImportError: libcublas.so.10.0: cannot open shared object file: No such file or directory」
- Compilation of SSE/AVX/FMA instruction set in tensorflow CPU environment
- [Solved] ImportError: No module named tensorflow
- [Solved] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
- AttributeError: module ‘tensorflow’ has no attribute ‘Session’
- AttributeError: module ‘tensorflow‘ has no attribute ‘placeholder‘ [How to Solve]
- Tensorflow reported an error when using session module: attributeerror: module ‘tensorflow’ has no attribute ‘session’, which has been solved
- [Solved] Error caused by correspondence between tensorflow GPU version number and CUDA