2019-09-06 11:01:39.589297: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: AVX AVX2
To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.
2019-09-06 11:01:39.591143: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 8. Tune using inter_op_parallelism_threads for best performance.
翻译一下：
根据我目前查到的资料，
这个TensorFlow二进制文件使用Intel(R) mkl - dnn进行了优化，以便在性能关键操作中使用以下CPU指令:AVX AVX2
要在非mkl - dnn操作中启用它们，请使用适当的编译器标志重新构建TensorFlow
说白了就是tensorflow安装的不对，不是版本问题，而是需要从源代码安装tensorflow
解决方法，就是忽略
import os os.environ[‘TF_CPP_MIN_LOG_LEVEL‘] = ‘2‘
加上这两句可以覆盖掉
运行tensorflow是出现的问题This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU
原文：https://www.cnblogs.com/peijz/p/13042427.html