TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. rint() is used to find element-wise integer closest to x.
Syntax: tf.math.rint(x, name)
Parameter:
- x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64.
- name(optional): It defines the name for the operation.
Returns: It returns a tensor of same dtype as x.
Example 1:
Python3
# Importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([.2, 1.6, 3.7, 1], dtype = tf.float64)# Printing the input tensorprint('a: ', a)# Calculating resultres = tf.math.rint(a)# Printing the resultprint('Result: ', res) |
Output:
a: tf.Tensor([0.2 1.6 3.7 1. ], shape=(4, ), dtype=float64) Result: tf.Tensor([0. 2. 4. 1.], shape=(4, ), dtype=float64)
Example 2: If there is a tie between two values even representable is chosen.
Python3
# importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([2.5, 5.5, 1.5, 6.5], dtype = tf.float64)# Printing the input tensorprint('a: ', a)# Calculating resultres = tf.math.rint(a)# Printing the resultprint('Result: ', res) |
Output:
a: tf.Tensor([2.5 5.5 1.5 6.5], shape=(4, ), dtype=float64) Result: tf.Tensor([2. 6. 2. 6.], shape=(4, ), dtype=float64)
