Python - tensorflow.IndexedSlices.shape Attribute

Python - tensorflow.IndexedSlices.values Attribute

Last Updated : 28 Jul, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.

values is used to get the values of the slice.

Syntax: tensorflow.IndexedSlices.values

Returns: It returns a Tensor containing the values of the slice.

Example 1:

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, [1])

# Finding values
values = res.values

# Printing the result
print('Values: ', values)

Output:

data:  tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)
Values:  tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)

Example 2:

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, [1])

# Finding values
values = res.values

# Printing the result
print('Values: ', values)

Output:

data:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
Values:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)

Python - tensorflow.IndexedSlices.shape Attribute

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