# Python – tensorflow.math.rsqrt()

• Last Updated : 11 Jun, 2020

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’s 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)
```

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