Python - tensorflow.IndexedSlices.dtype 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.dtype Attribute

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