Python - tensorflow.IndexedSlices.dense_shape Attribute

Python - tensorflow.IndexedSlices.shape 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.

shape is used to get the tensorflow.TensorShape representing the shape of the dense tensor.

Syntax: tensorflow.IndexedSlices.shape

Returns: It returns tensorflow.TensorShape representing the shape of the dense tensor.

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, [0], tf.constant([1, 2]))

# Finding Shape
shape = res.shape

# Printing the result
print('Shape: ', shape)

Output:


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

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], tf.constant([1]))

# Finding Shape
shape = res.shape

# Printing the result
print('Shape: ', shape)

Output:


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

Python - tensorflow.IndexedSlices.dense_shape Attribute

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