code: def match(self, node):
      return (
          isinstance(node, Dense)
          and len(node.get_input_variable().shape)
          - sum(d == 1 for d in node.get_input_variable().shape)
          > 1
      )
  
imports: import numpy
  from hls4ml.model.layers import Dense
  from hls4ml.model.optimizer import OptimizerPass
label_desc: Use image node_id 1 for calling the ReplaceMultidimensionalDenseWithConv obj's underlying member method code with example usage: obj.match(node) and returns: unknown