参考：https://www.pugetsystems.com/labs/hpc/The-Best-Way-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-1187/

Install Anaconda Python

下载安装Anaconda， https://www.anaconda.com/download/

安装完成后，在后面的步骤，在Anaconda Prompt中执行

Update Anaconda

conda update conda
conda update anaconda
conda update python
conda update --all

安装tensorflow-gpu

conda create --name tf-gpu   # Create a Python "virtual environment" for TensorFlow using conda
source activate tf-gpu       # 注意运行此命令后，命令行开头的提示变为(tf-gpu) [email protected]:~$，表示tf-gpu环境处于激活状态
# 后面的命令，都在tf-gpu环境下执行，我保留了命令行的提示，以示区别
(tf-gpu) C:\Users\xxx> conda install tensorflow-gpu -y # install TensorFlow with GPU acceleration and all of the dependencies.

测试安装的tensorflow-gpu

import tensorflow as tf
hello = tf.constant(‘Hello, TensorFlow!‘)
sess = tf.Session()
print(sess.run(hello))

不出意外，运行结果会打印

‘Hello, TensorFlow!‘

原文地址：https://www.cnblogs.com/xbit/p/10228747.html