code: def register_clone(backend):
      # Register the layer types to the layer map
      register_layer("Clone", Clone)
  
      # Register the optimization passes
      backend.register_pass("clone_output", CloneOutput)
  
      # Register template passes
      backend.register_template(CloneFunctionTemplate)
  
file_path: hls4ml/hls4ml/backends/fpga/passes/clone.py
imports: import numpy
  from hls4ml.backends.template import FunctionCallTemplate
  from hls4ml.model.layers import Layer, register_layer
  from hls4ml.model.optimizer import OptimizerPass
label_desc: Use image node_id 1 for calling a global function with example usage: register_clone(backend) without return types