class_docstr: A very simple `DataLoader` that is mostly used for testing.
code: def from_dataset_reader(
      cls,
      reader: DatasetReader,
      data_path: str,
      batch_size: int,
      shuffle: bool = False,
      batches_per_epoch: Optional[int] = None,
      quiet: bool = False,
  ) -> "SimpleDataLoader":
      instance_iter = reader.read(data_path)
      if not quiet:
          instance_iter = Tqdm.tqdm(
              instance_iter, desc="loading instances"
          )
      instances = list(instance_iter)
      return cls(
          instances,
          batch_size,
          shuffle=shuffle,
          batches_per_epoch=batches_per_epoch,
      )
  
imports: import math
  import random
  from typing import Optional, List, Iterator
  import torch
  from allennlp.common.util import lazy_groups_of
  from allennlp.common.tqdm import Tqdm
  from allennlp.data.data_loaders.data_loader import DataLoader, TensorDict
  from allennlp.data.data_loaders.data_collator import DefaultDataCollator
  from allennlp.data.dataset_readers import DatasetReader
  from allennlp.data.instance import Instance
  from allennlp.data.vocabulary import Vocabulary
  import allennlp.nn.util
label_desc: Use image node_id 8 for calling the SimpleDataLoader obj's underlying member method code with example usage: obj.from_dataset_reader(cls, reader, data_path, batch_size, shuffle, batches_per_epoch, quiet) and returns: cls