Python - tensorflow.math.rsqrt() Last Updated : 24 Feb, 2023 Comments Improve Suggest changes Like Article Like Report 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 library import tensorflow as tf # Initializing the input tensor a = tf.constant([.2, 1.6, 3.7, 1], dtype = tf.float64) # Printing the input tensor print('a: ', a) # Calculating result res = tf.math.rsqrt(a) # Printing the result print('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 library import tensorflow as tf # Initializing the input tensor a = tf.constant([2.5, 5.5, 1.5, 6.5], dtype = tf.float64) # Printing the input tensor print('a: ', a) # Calculating result res = tf.math.rsqrt(a) # Printing the result print('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) Comment More infoAdvertise with us Next Article Python - tensorflow.math.rsqrt() A aman neekhara Follow Improve Article Tags : Machine Learning AI-ML-DS With Python Practice Tags : Machine Learning Similar Reads Python - tensorflow.math.sqrt() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. sqrt() is used to compute element wise square root. Syntax: tensorflow.math.sqrt(x, name) Parameters: x: It's a tensor. Allowed dtypes are bfloat16, half, float32, float6 1 min read Python - tensorflow.math.rint() 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, 2 min read Python - tensorflow.math.subtract() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. subtract() is used to compute element wise (x-y). Syntax: tensorflow.math.subtract(x, y, name) Parameters: x: It's a tensor. Allowed dtypes are bfloat16, half, float32, f 2 min read Python - tensorflow.math.real() TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. real() is used to find element wise real part of a tensor. Syntax: tf.math.real(x, name) Parameter: x: It's the input tensor. Allowed dtype for this tensor are bfloat16, 2 min read Python - tensorflow.math.reduce_std() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. reduce_std() is used to find standard deviation of elements across dimensions of a tensor. Syntax: tensorflow.math.reduce_std( input_tensor, axis, keepdims, name) Paramet 2 min read Like