TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. rsqrt() is used to find element-wise reciprocal of square root of x.
Syntax: tf.math.rsqrt(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.rsqrt(a)# Printing the resultprint('Result: ', res) |
Output:
a: tf.Tensor([0.2 1.6 3.7 1. ], shape=(4, ), dtype=float64) Result: tf.Tensor([2.23606798 0.79056942 0.51987524 1. ], shape=(4, ), dtype=float64)
Example 2:
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.rsqrt(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([0.63245553 0.42640143 0.81649658 0.39223227], shape=(4, ), dtype=float64)
