查看GPU是否可用

tf.config：GPU 的使用与分配（转载） - 三年一梦 - 博客园 (cnblogs.com)

import tensorflow as tf

version = tf.__version__
gpu_ok = tf.test.is_gpu_available()
# tf.config.list_physical_devices('GPU') # 也可以
print("tf version:", version, "\nuse GPU", gpu_ok)
print(tf.test.is_built_with_cuda())

gpus = tf.config.list_physical_devices(device_type='GPU')  # [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
cpus = tf.config.list_physical_devices(device_type='CPU')  # [PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU')]
print(gpus)
print(cpus)

标签：查看,可用,print,device,tf,GPU,type,physical
来源： https://blog.csdn.net/Silentli20/article/details/116929721