Python–张量流。设备属性
原文:https://www.geesforgeks.org/python-tensorflow-indexed slices-device-attribute/
TensorFlow 是谷歌设计的开源 Python 库，用于开发机器学习模型和深度学习神经网络。
设备用于查找将要生成值的设备的名称。
语法:张量流。索引的策略。设备
返回:返回设备名称。
例 1:
蟒蛇 3
# Importing the library
import tensorflow as tf
# Initializing the input
data = tf.constant([1, 2, 3])
# Printing the input
print('data: ', data)
# Calculating result
res = tf.IndexedSlices(data, [0])
# Finding device name
device = res.device
# Printing the result
print('device: ', device)
输出:
data: tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
device: /job:localhost/replica:0/task:0/device:CPU:0
例 2:
蟒蛇 3
# Importing the library
import tensorflow as tf
# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]])
# Printing the input
print('data: ', data)
# Calculating result
res = tf.IndexedSlices(data, [0])
# Finding device name
device = res.device
# Printing the result
print('device: ', device)
输出:
data: tf.Tensor(
[[1 2 3]
[4 5 6]], shape=(2, 3), dtype=int32)
device: /job:localhost/replica:0/task:0/device:CPU:0
