code: def TranslateLayer(cls, layer, pretrained_blobs, is_test, **kwargs):
      try:
          caffe_ops, params = cls.registry_[layer.type](
              layer, pretrained_blobs, is_test, **kwargs
          )
      except KeyError as e:
          raise KeyError(
              "No translator registered for layer: %s yet." % str(layer)
          ) from e
      if caffe_ops is None:
          caffe_ops = []
      if type(caffe_ops) is not list:
          caffe_ops = [caffe_ops]
      return caffe_ops, params
  
imports: import argparse
  import copy
  import logging
  import re
  import numpy
  from caffe2.proto import caffe2_pb2, caffe2_legacy_pb2
  from caffe.proto import caffe_pb2
  from caffe2.python import core, utils, workspace
  from google.protobuf import text_format
label_desc: Use image node_id 2 for calling the TranslatorRegistry obj's underlying member method code with example usage: obj.TranslateLayer(cls, layer, pretrained_blobs, is_test) and returns: caffe_ops,  params