code: def TranslateInstanceNorm(layer, pretrained_blobs, is_test, **kwargs):
      caffe_op = BaseTranslate(layer, "InstanceNorm")
      output = caffe_op.output[0]
      weight = utils.NumpyArrayToCaffe2Tensor(
          pretrained_blobs[0].flatten(), output + "_w"
      )
      bias = utils.NumpyArrayToCaffe2Tensor(
          pretrained_blobs[1].flatten(), output + "_b"
      )
      caffe_op.input.extend([output + "_w", output + "_b"])
      AddArgument(caffe_op, "order", "NCHW")
      return caffe_op, [weight, bias]
  
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 32 for calling a global function with example usage: TranslateInstanceNorm(layer, pretrained_blobs, is_test) and returns: caffe_op,  list