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

Input:  tf.Tensor([1. 2. 3. 4.], shape=(4, ), dtype=float64)
Result:  tf.Tensor(5.477225575051661, shape=(), dtype=float64)

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

Input:  tf.Tensor(
[[1. 2.]
 [3. 4.]], shape=(2, 2), dtype=float64)
Result:  tf.Tensor(
[[2.23606798]
 [5.        ]], shape=(2, 1), dtype=float64)