code: def TranslateAccuracy(layer, pretrained_blobs, is_test, **kwargs):
      caffe_op = BaseTranslate(layer, "Accuracy")
      if layer.accuracy_param.top_k != 1:
          AddArgument(caffe_op, "top_k", layer.accuracy_param.top_k)
      return caffe_op, []
  
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 29 for calling a global function with example usage: TranslateAccuracy(layer, pretrained_blobs, is_test) and returns: caffe_op,  list