class_docstr: Shards a given datasource by row.
class_docstr_tok: ["Shards","a","given","datasource","by","row","."]
docstr: Used to initialize tensorizer on the intire dataset.
code: def train_unsharded(self):
      """Used to initialize tensorizer on the intire dataset."""
      return iter(self.data_source.train)
  
imports: import json
  import logging
  import re
  from typing import Any, Dict, List, Type, TypeVar
  from pytext.config.component import Component, ComponentType
  from pytext.data.utils import shard
  from pytext.utils.data import parse_slot_string, Slot
  from pytext.utils.file_io import PathManager
label_desc: Use image node_id 3 for calling the RowShardedDataSource obj's underlying member method code with example usage: obj.train_unsharded() and returns: iter