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Python – tensorflow.IndexedSlices.dense_shape Attribute

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  • Last Updated : 20 Jul, 2020

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

dense_shape returns a 1-D tensor containing the shape of the corresponding dense tensor. 

Syntax: tensorflow.IndexedSlices.dense_shape

Returns: It returns a 1-D Tensor.

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], 2)
  
# Finding dense shape
dense = res.dense_shape
  
# Printing the result
print('dense shape: ', dense)


Output:

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

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, [0])
  
# Finding dense shape
dense = res.dense_shape
  
# Printing the result
print('dense shape: ', dense)


Output:

data:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
dense shape:  None



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