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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([ [-5, -7],[ 2, 0]], dtype=tf.float64)# Printing the input tensorprint('a: ', a)# Calculating resultres = tf.math.special.fresnel_sin(a)# Printing the resultprint('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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([1, 2, 3, 4, 5], dtype=tf.float64)# Printing the input tensorprint('a: ', a)# Calculating resultres = tf.math.special.fresnel_sin(a)# Printing the resultprint('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)
