code: def raw_layer_norm(x, epsilon=1e-3):
      axes = [1]
      mean = tf.reduce_mean(x, axes, keep_dims=True)
      std = tf.sqrt(
          tf.reduce_mean(tf.square(x - mean), axes, keep_dims=True)
          + epsilon
      )
      output = (x - mean) / (std)
      return output
  
imports: import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 6 for calling a global function with example usage: raw_layer_norm(x, epsilon) and returns: output