python Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA-蒲公英云

python Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

wu@wu-X555LF:~$ python
Python 2.7.12 (default, Dec 4 2017, 14:50:18)
[GCC 5.4.0 20160609] on linux2
Type “help”, “copyright”, “credits” or “license” for more information.

import tensorflow as tf
hello = tf.constant(‘hello,tensorflow!’)
sess = tf.Session()
2019-07-25 21:42:45.261089: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-07-25 21:42:45.403829: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-07-25 21:42:45.404392: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
name: GeForce 930M major: 5 minor: 0 memoryClockRate(GHz): 0.941
pciBusID: 0000:04:00.0
totalMemory: 1.96GiB freeMemory: 1.74GiB
2019-07-25 21:42:45.404441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2019-07-25 21:42:47.122397: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device0 with 1499 MB memory) -> physical GPU (device: 0, name: GeForce 930M, pci bus id: 0000:04:00.0, compute capability: 5.0)

I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

遇到了这个问题，意思是你的 CPU 支持AVX AVX2 （可以加速CPU计算），但你安装的 TensorFlow 版本不支持

解决：

如果是初学者或者没有太大计算速度的需求，在开头加上这两行忽略这个提示即可

import os
os.environ[‘TF_CPP_MIN_LOG_LEVEL’] = ‘2’

说明：

os.environ[“TF_CPP_MIN_LOG_LEVEL”] = ‘1’ # 默认，显示所有信息
os.environ[“TF_CPP_MIN_LOG_LEVEL”] = ‘2’ # 只显示 warning 和 Error
os.environ[“TF_CPP_MIN_LOG_LEVEL”] = ‘3’ # 只显示 Error