code: def model_parallel_reconfigure_tp_seed(seed):
      global mpu
      tp_rank = bwc_tensor_model_parallel_rank(mpu)
      model_parallel_seed = seed + 2718 + tp_rank
      with _CUDA_RNG_STATE_TRACKER.fork():
          get_accelerator().manual_seed(model_parallel_seed)
  
imports: import copy
  import torch
  import contextlib
  from deepspeed import comm
  import weakref
  import mmap
  from torch import _C
  from deepspeed.runtime.config import DeepSpeedConfig
  from deepspeed.utils import logger
  from deepspeed.runtime.utils import copy_to_device, move_to_device, see_memory_usage, bwc_tensor_model_parallel_rank
  from deepspeed.utils.timer import SynchronizedWallClockTimer, FORWARD_GLOBAL_TIMER
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 5 for calling a global function with example usage: model_parallel_reconfigure_tp_seed(seed) without return types