code: def fixed_iter(self):
      device = torch.device("cpu")
      return (
          self.indices[i]
          for i in torch.randperm(len(self.indices), device=device)
      )
  
file_path: SerpentAI/serpent/machine_learning/reinforcement_learning/ppo/rollout_storage.py
imports: import torch
  from torch.utils.data.sampler import BatchSampler, SubsetRandomSampler
label_desc: Use image node_id 1 for calling a global function with example usage: fixed_iter() and returns: unknown