code: def _gen_layer_prototxt(
      self, layer_params, name="layer", depth=0, indent=2
  ):
      if isinstance(layer_params, (dict, collections.OrderedDict)):
          s = name + " {\n"
          indent_s = " " * ((depth + 1) * indent)
          for key, val in layer_params.items():
              s += indent_s + self._gen_layer_prototxt(
                  val, name=key, depth=depth + 1
              )
          s += " " * (depth * indent)
          s += "}\n"
          return s
      elif isinstance(layer_params, bool):
          return "{}: {}\n".format(
              name, "true" if layer_params else "false"
          )
      elif isinstance(layer_params, six.integer_types + (float,)):
          return "{}: {}\n".format(name, layer_params)
      elif isinstance(layer_params, str):
          return '{}: "{}"\n'.format(name, layer_params)
      elif isinstance(layer_params, list):
          s = ""
          indent_s = " " * depth * indent
          for i, t in enumerate(layer_params):
              if i != 0:
                  s += indent_s
              s += self._gen_layer_prototxt(
                  t, name=name, depth=depth + 1
              )
          return s
      else:
          raise ValueError(
              "Unsupported type: " + str(type(layer_params))
          )
  
imports: import collections
  import heapq
  import os
  import numpy
  import six
  import chainer
  from chainer import function
  from chainer import function_node
  from chainer.links.caffe.protobuf3 import caffe_pb2
  from chainer import variable
label_desc: Use image node_id 4 for calling the _RetrieveAsCaffeModel obj's underlying member method code with example usage: obj._gen_layer_prototxt(layer_params, name, depth, indent) and returns: s, str, str, str, s