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
# 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) |
Output:
data: tf.Tensor([1 2 3], shape=(3, ), dtype=int32) device: /job:localhost/replica:0/task:0/device:CPU:0
Example 2:
Python3
# 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) |
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
