查看tensorflow cpu或GPU是否安装成功

代码1：

import tensorflow as tf
print(tf.test.is_gpu_available())

成功会显示True

代码2：

import os
from tensorflow.python.client import device_lib
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "99"
 
if __name__ == "__main__":
    print(device_lib.list_local_devices())

代码3：

import tensorflow as tf
print(tf.__version__)

成功会显示2.3.0

代码4：

import tensorflow as tf
tensorflow_version = tf.__version__
gpu_available = tf.test.is_gpu_available()
print("tensorflow version:", tensorflow_version, "\tGPU available:", gpu_available)

成功会显示 tensorflow version: 2.3.0 GPU available: True

代码5：

import tensorflow as tf 
tf.constant("hello")

成功会显示