TensorFlow檢視GPU資訊
阿新 • • 發佈:2018-11-25
檢視是否有GPU
import tensorflow as tf
gpu_device_name = tf.test.gpu_device_name()
print(gpu_device_name)
輸出
/device:GPU:0
GPU是否可用
# 返回True或者False
tf.test.is_gpu_available()
from tensorflow.python.client import device_lib # 列出所有的本地機器裝置 local_device_protos = device_lib.list_local_devices() # 列印 # print(local_device_protos) # 只打印GPU裝置 [print(x) for x in local_device_protos if x.device_type == 'GPU']
輸出如下
name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 10641965056
locality {
bus_id: 1
links {
}
}
incarnation: 7203835317376623910
physical_device_desc: "device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7"