code: def state_dict(self):
      return {"epoch": self.epoch, "counter": self.counter}
  
file_path: flash-attention/training/src/datamodules/fault_tolerant_sampler.py
imports: from typing import Iterator
  import math
  import torch
  from torch.utils.data import RandomSampler, DistributedSampler
label_desc: Use image node_id 2 for calling the FaultTolerantDistributedSampler obj's underlying member method code with example usage: obj.state_dict() and returns: dict