Python – tensorflow.IndexedSlices.indices Attribute
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
indices is used to find the indices of the slice.
Syntax: tensorflow.IndexedSlices.indices
Returns: It returns a 1-D Tensor containing the indices of slice.
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 Graph indices = res.indices # Printing the result print ( 'Indices: ' , indices) |
Output:
data: tf.Tensor([1 2 3], shape=(3, ), dtype=int32) Indices: [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 , 1 ]) # Finding Graph indices = res.indices # Printing the result print ( 'Indices: ' , indices) |
Output:
data: tf.Tensor( [[1 2 3] [4 5 6]], shape=(2, 3), dtype=int32) Indices: [0, 1]
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