Python | tensorflow.math.bessel_i0() method

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

bessel_i0() is method in TensorFlow math module. This method is used to calculate element wise Bessel i0 of a tensor.

Syntax:
tensorflow.math.bessel_i0(
    input, name
)

Argument:
1. input: It's a tensor or SparseTensor for which element wise Bessel iO 
          need to be calculated. Allowed dtypes are half, float32, float64. 
2. name: It is an optional argument that defines the name for the operation.

Return:
A Tensor if Tensor is given as input otherwise SparseTensor having the same dtype as input.

Example 1:

Python3

# importing the library
import tensorflow as tf
 
# initializing constant tensor 
a = tf.constant([-1.5, 3 ], dtype=tf.float64)
 
# calculating bessel i0
b = tf.math.bessel_i0(a)
 
# printing the input
print('Input: ',a)
 
# printing the output
print('Output: ',b)

Output:

Input:  tf.Tensor([-1.5  3. ], shape=(2,), dtype=float64)
Output:  tf.Tensor([1.64672319 4.88079259], shape=(2,), dtype=float64)

Example 2:

This example uses tensor with dtype int32 that will raise an error . Only tensor with dtype half, float32, float64 are allowed.

Python3

# importing the library
import tensorflow as tf
 
# initializing constant tensor with dtype int32
a = tf.constant([1 , 3 ], dtype=tf.int32)
 
# printing the input
print('Input: ',a)
 
# calculating bessel i0
b = tf.math.bessel_i0(a)

Output:

Input:  tf.Tensor([1 3], shape=(2,), dtype=int32)

NotFoundError                             Traceback (most recent call last)

<ipython-input-43-4c70ca866e4c> in <module>()
----> 1 b = tf.math.bessel_i0(a)