code: def __init__(self, data, seq_len):
      super().__init__()
      self.data = data
      self.seq_len = seq_len
  
file_path: performer-pytorch/examples/enwik8_simple/train.py
imports: from performer_pytorch import PerformerLM
  from performer_pytorch.autoregressive_wrapper import AutoregressiveWrapper
  import random
  import tqdm
  import gzip
  import numpy
  import torch
  import torch.optim
  from torch.nn import functional
  from torch.utils.data import DataLoader, Dataset
  from torch.cuda.amp import autocast, GradScaler
label_desc: Use image node_id 1 to create a new TextSamplerDataset object from inherited base classes: Dataset with example: obj = TextSamplerDataset(data, seq_len)