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Python – tensorflow.math.sqrt()

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  • Last Updated : 16 Jun, 2020
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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, float64, complex64, complex128.
  • name(optional): It defines the name for the operation.

Returns: It returns a tensor.

Example 1:

Python3




# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([ 5, 7, 9, 15], dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
  
# Calculating result
res = tf.math.sqrt(a)
  
# Printing the result
print('Result: ', res)


Output:

a:  tf.Tensor([ 5.  7.  9. 15.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([2.23606798 2.64575131 3.         3.87298335], shape=(4, ), dtype=float64)



Example 2: Visualization

Python3




# import tensorflow as tf
import matplotlib.pyplot as plt
  
# Initializing the input tensor
a = tf.constant([ 5, 7, 9, 15], dtype = tf.float64)
  
# Calculating tangent
res = tf.math.sqrt(a)
  
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.math.sqrt')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()


Output:


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