class_docstr: Converts a model from channels_first to channels_last data format by transposing the weights of relevant layers
  and adding a transpose layer for the inputs and outputs, if necessary
class_docstr_tok: ["Converts","a","model","from","channels_first","to","channels_last","data","format","by","transposing","the","weights","of","relevant","layers","and","adding","a","transpose","layer","for","the","inputs","and","outputs",",","if","necessary"]
code: def match(self, node):
      if not hasattr(node, "channels_last_converted"):
          return True
  
imports: from hls4ml.model.layers import Concatenate, Input, Reshape
  from hls4ml.model.optimizer import OptimizerPass
label_desc: Use image node_id 1 for calling the ChannelsLastConverter obj's underlying member method code with example usage: obj.match(node) and returns: True