code: def parse_klloss_layer(
      keras_layer, input_names, input_shapes, data_reader
  ):
      assert "KLLoss" in keras_layer["class_name"]
  
      layer = parse_default_keras_layer(keras_layer, input_names)
  
      output_shape = [input_shapes[0][0], 1]
  
      return layer, output_shape
  
imports: from pathlib import Path
  import numpy
  import tensorflow
  from tensorflow.python.keras.utils import tf_utils
  from tensorflow.python.ops import math_ops
  import hls4ml
  from hls4ml.converters.keras_to_hls import parse_default_keras_layer
  from hls4ml.model.attributes import ConfigurableAttribute, TypeAttribute
  from hls4ml.model.types import FixedPrecisionType, RoundingMode, SaturationMode
label_desc: Use image node_id 1 for calling a global function with example usage: parse_klloss_layer(keras_layer, input_names, input_shapes, data_reader) and returns: layer,  output_shape