code: def match(self, node):
      is_match = (
          isinstance(node, BatchNormalization)
          and isinstance(node.get_input_node(), (Dense, Conv1D, Conv2D))
          and node.get_input_node().get_attr("weight_quantizer") is None
          and node.get_input_node().get_attr("bias_quantizer") is None
      )
      return is_match
  
imports: from hls4ml.model.layers import BatchNormalization, Conv1D, Conv2D, Dense
  from hls4ml.model.optimizer import OptimizerPass
label_desc: Use image node_id 1 for calling the FuseBatchNormalization obj's underlying member method code with example usage: obj.match(node) and returns: is_match