tensorflow.math.special.fresnel_sin() function in Python

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TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks.

fresnel_sin() function

fresnel_sin() is used to compute element wise Fresnel’s sine integral of x. It is defined as the integral of sin(t^2) from 0 to x, with the domain of definition all positive real numbers.

Syntax: tensorflow.math.special.fresnel_sin( x, name)

Parameter:

x: It’s a Tensor or Sparse Tensor. Allowed dtypes are float32 and float64.

name(optional): It defines 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([ [-5, -7],[ 2, 0]], dtype=tf.float64)
 
# Printing the input tensor
print('a: ', a)
 
# Calculating result
res = tf.math.special.fresnel_sin(a)
 
# Printing the result
print('Result: ', res)

Output:

a:  tf.Tensor(
[[-5. -7.]
 [ 2.  0.]], shape=(2, 2), dtype=float64)
Result:  tf.Tensor(
[[-0.49919138 -0.49970479]
 [ 0.34341568  0.        ]], shape=(2, 2), dtype=float64)

Example 2:

Python3

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([1, 2, 3, 4, 5], dtype=tf.float64)
 
# Printing the input tensor
print('a: ', a)
 
# Calculating result
res = tf.math.special.fresnel_sin(a)
 
# Printing the result
print('Result: ', res)

Output:

a: tf.Tensor([1. 2. 3. 4. 5.], shape=(5,), dtype=float64)
Result: tf.Tensor([0.43825915 0.34341568 0.496313 0.42051575 0.49919138], shape=(5,), dtype=float64)