code: def to_fixed_size(
      module: Module, batch_size: int, debug: bool = False
  ) -> GraphModule:
      r"""Converts a model and injects a pre-computed and fixed batch size to all
      global pooling operators.
  
      Args:
          module (torch.nn.Module): The model to transform.
          batch_size (int): The fixed batch size used in global pooling modules.
          debug (bool, optional): If set to :obj:`True`, will perform
              transformation in debug mode. (default: :obj:`False`)
      """
      transformer = ToFixedSizeTransformer(module, batch_size, debug)
      return transformer.transform()
  
imports: from typing import Any
  from torch.nn import Module
  from torch_geometric.nn.fx import Transformer
label_desc: Use image node_id 1 for calling a global function with example usage: to_fixed_size(module, batch_size, debug) and returns: transformer