查看 tensorflow 是GPU版本 还是CPU版本

时间:2019-09-16 19:08:03   收藏:0   阅读:777

在Python环境中输入:

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())

输出:

[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 1200794696603410792
, name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 2454712320
locality {
  bus_id: 1
  links {
  }
}
incarnation: 15293349108358879578
physical_device_desc: "device: 0, name: NVIDIA Tegra X2, pci bus id: 0000:00:00.0, compute capability: 6.2"

 

原文:https://www.cnblogs.com/liuwenhua/p/11528731.html

评论(0
© 2014 bubuko.com 版权所有 - 联系我们:wmxa8@hotmail.com
打开技术之扣,分享程序人生!