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Python – tensorflow.IndexedSlices.dtype Attribute

  • Last Updated : 20 Jul, 2020

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

dtype is used to find the type of values in Tensor.

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Syntax: tensorflow.IndexedSlices.dtype



Returns: It returns the dtype of elements in the 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])
  
# Finding dtype 
dtype = res.dtype
  
# Printing the result
print('dtype: ', dtype)

Output:

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

Example 2:

Python3




# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]], dtype = tf.float32)
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.IndexedSlices(data, [0])
  
# Finding dtype 
dtype = res.dtype
  
# Printing the result
print('dtype: ', dtype)

Output:

data:  tf.Tensor(
[[1. 2. 3.]
 [4. 5. 6.]], shape=(2, 3), dtype=float32)
dtype:  <dtype: 'float32'>





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