Python – tensorflow.IndexedSlices.device Attribute
Last Updated :
20 Jul, 2020
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
device is used to find the name of the device on which values will be generated.
Syntax: tensorflow.IndexedSlices.device
Returns: It returns the name of the device.
Example 1:
Python3
import tensorflow as tf
data = tf.constant([ 1 , 2 , 3 ])
print ( 'data: ' , data)
res = tf.IndexedSlices(data, [ 0 ])
device = res.device
print ( 'device: ' , device)
|
Output:
data: tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
device: /job:localhost/replica:0/task:0/device:CPU:0
Example 2:
Python3
import tensorflow as tf
data = tf.constant([[ 1 , 2 , 3 ], [ 4 , 5 , 6 ]])
print ( 'data: ' , data)
res = tf.IndexedSlices(data, [ 0 ])
device = res.device
print ( 'device: ' , device)
|
Output:
data: tf.Tensor(
[[1 2 3]
[4 5 6]], shape=(2, 3), dtype=int32)
device: /job:localhost/replica:0/task:0/device:CPU:0
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