code: def custom_optimizer(model: Any, optimizer: Any) -> Tuple[Any, Any]:
      return ipex.optimize(model, optimizer=optimizer)
  
file_path: pytorch_geometric/benchmark/multi_gpu/training/training_benchmark_xpu.py
imports: import os
  from typing import Any, Tuple
  import intel_extension_for_pytorch
  import oneccl_bindings_for_pytorch
  import torch.distributed
  from benchmark.multi_gpu.training.common import get_predefined_args, run, supported_sets
  from benchmark.utils import get_dataset
label_desc: Use image node_id 2 for calling a global function with example usage: custom_optimizer(model, optimizer) and returns: ipex