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