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: Initializer.
docstr_tok: ["Initializer","."]
code: def __init__(self, proto, proto_size, **kwargs):
      """Initializer."""
      self.proto_size = proto_size
      super().__init__(proto, **kwargs)
  
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 1 to create a new SplitBasedOnSize object from inherited base classes: split with example: obj = SplitBasedOnSize(proto, proto_size)