class_docstr: A Splitter that's based on the size of the input proto.
class_docstr_tok: ["A","Splitter","that","'s","based","on","the","size","of","the","input","proto","."]
docstr: Splits the proto, and returns the size of the chunks created.
docstr_tok: ["Splits","the","proto",",","and","returns","the","size","of","the","chunks","created","."]
code: def build_chunks(self) -> int:
      """Splits the proto, and returns the size of the chunks created."""
      return 0
  
imports: from collections.abc import Sequence
  import itertools
  from typing import Optional, Type
  from google.protobuf import message
  from tensorflow.core.framework import graph_pb2
  from tensorflow.core.framework import node_def_pb2
  from tensorflow.python.framework import tensor_util
  from tensorflow.tools.proto_splitter import constants
  from tensorflow.tools.proto_splitter import split
  from tensorflow.tools.proto_splitter import util
label_desc: Use image node_id 2 for calling the SplitBasedOnSize obj's underlying member method code with example usage: obj.build_chunks() and returns: int