https://mirrors.tuna.tsinghua.edu.cn/tensorflow/windows/cpu/
报错 不支持
C:Usersrady.condaenvs ensorflowpython.exe E:/www/tensor/1.py
2019-11-27 11:52:07.417736: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.
2019-11-27 11:52:07.418080: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations.
2019-11-27 11:52:07.418445: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
2019-11-27 11:52:07.418773: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2019-11-27 11:52:07.419103: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2019-11-27 11:52:07.419700: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2019-11-27 11:52:07.420229: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2019-11-27 11:52:07.420670: W c: f_jenkinshomeworkspace
elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
b'Hello, TensorFlow!'
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
可以解决
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))