code: def load_fused_optim():
      global fused_optim
  
      if fused_optim is None:
          fused_optim = FusedOptimBuilder().load()
  
imports: import torch
  import torch.distributed
  from torch.distributed import ProcessGroup
  from torch.optim import Optimizer
  from colossalai.amp.naive_amp.grad_scaler import BaseGradScaler
  from colossalai.kernel.op_builder import FusedOptimBuilder
  from colossalai.legacy.context import ParallelMode
  from colossalai.legacy.core import global_context
  from colossalai.legacy.utils import clip_grad_norm_fp32, copy_tensor_parallel_attributes
  from colossalai.logging import get_dist_logger
  from colossalai.utils import multi_tensor_applier
  from ._utils import has_inf_or_nan, zero_gard_by_list
label_desc: Use image node_id 1 for calling a global function with example usage: load_fused_optim() without return types