code: def state_dict(self):
      self._q_cmd.put("state_dict")
      states = self._q_cmd_out.get()
      if not isinstance(states, OrderedDict):
          raise RuntimeError("Invalid state dict {}".format(states))
      if bmt.world_size() == 1:
          for val in states.values():
              val["states"].unsqueeze_(0)
              val["block"].unsqueeze_(0)
          return states
  
      ret = OrderedDict()
      for k, v in states.items():
          num_unused_block = v["states"].size(0)
          gpu_num_unused_block = torch.tensor(
              [num_unused_block], dtype=torch.long
          ).cuda()
          max_unused_blocks = (
              bmt.distributed.all_reduce(gpu_num_unused_block, op="max")
              .cpu()
              .item()
          )
          if max_unused_blocks == 0:
              max_unused_blocks = 1
          gpu_states = torch.full(
              (max_unused_blocks,), -1, dtype=torch.long
          ).cuda()
          gpu_states[:num_unused_block] = v["states"].cuda()
  
          gpu_block = v["block"].cuda()
          global_states = bmt.distributed.all_gather(
              gpu_states
          ).cpu()  # (world_size, max_unused_blocks)
          global_block = bmt.distributed.all_gather(
              gpu_block
          ).cpu()  # (world_size, 4)
          ret[k] = {"states": global_states, "block": global_block}
      return ret
  
imports: from collections import OrderedDict
  import multiprocessing
  import os
  from queue import Empty
  from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
  from typing_extensions import TypedDict
  from ...dataset import DistributedDataset
  from ...tokenizers import CPMBeeTokenizer
  from ...utils.config import load_dataset_config
  import numpy
  import time
  from numpy.typing import NDArray
  import torch
  import bmtrain
  import importlib.machinery
  import importlib.util
  import types
  import random
label_desc: Use image node_id 5 for calling the MixedDataset obj's underlying member method code with example usage: obj.state_dict() and returns: ret, states