code: def FetchInt8Blob(name):
      """Fetches an Int8 blob from the workspace. It shared backend implementation
      with FetchBlob but it is recommended when fetching Int8 Blobs
  
      Inputs:
        name: the name of the Int8 blob - a string or a BlobReference
      Returns:
        data: int8 numpy array, data
        scale: float, fake quantization scale
        zero_point: int, fake quantization offset
      """
      result = C.fetch_blob(StringifyBlobName(name))
      assert isinstance(
          result, tuple
      ), "You are not fetching an Int8Blob {}. Please use FetchBlob".format(
          StringifyBlobName(name)
      )
      return Int8Tensor(*result)
  
imports: import collections
  import contextlib
  from google.protobuf.message import Message
  from multiprocessing import Process
  import os
  from collections import defaultdict
  import logging
  import numpy
  from past.builtins import basestring
  import shutil
  import socket
  import tempfile
  from caffe2.proto import caffe2_pb2
  from caffe2.python import scope, utils
  from caffe2.python.lazy import TriggerLazyImport
  import caffe2.python._import_c_extension
label_desc: Use image node_id 27 for calling a global function with example usage: FetchInt8Blob(name) and returns: Int8Tensor