code: def none_scheduler(optimizer: Optimizer, max_epoch: int) -> StepLR:
      return StepLR(optimizer, step_size=max_epoch + 1)
  
file_path: pytorch_geometric/torch_geometric/graphgym/optim.py
imports: from dataclasses import dataclass, field
  from typing import Any, Iterator, List, Optional
  from torch.nn import Parameter
  from torch.optim import SGD, Adam, Optimizer
  from torch.optim.lr_scheduler import CosineAnnealingLR, MultiStepLR, StepLR
  import torch_geometric.graphgym.register
  from torch_geometric.graphgym.config import from_config
label_desc: Use image node_id 4 for calling a global function with example usage: none_scheduler(optimizer, max_epoch) and returns: StepLR