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.
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'>
