code: def calculate_frn(
      x,
      beta=0.2,
      gamma=1,
      eps=1e-6,
      learned_epsilon=False,
      dtype=np.float32,
  ):
      if learned_epsilon:
          eps = eps + 1e-4
      eps = tf.cast(eps, dtype=dtype)
      nu2 = tf.reduce_mean(tf.square(x), axis=[1, 2], keepdims=True)
      x = x * tf.math.rsqrt(nu2 + tf.abs(eps))
      return gamma * x + beta
  
imports: import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.layers.normalizations import FilterResponseNormalization
  from tensorflow_addons.layers.normalizations import GroupNormalization
  from tensorflow_addons.layers.normalizations import InstanceNormalization
label_desc: Use image node_id 23 for calling a global function with example usage: calculate_frn(x, beta, gamma, eps, learned_epsilon, dtype) and returns: unknown