code: def call_global_pooling_module(
      self, node: Node, target: Any, name: str
  ):
      kwargs = node.kwargs.copy()
      kwargs["dim_size"] = self.batch_size
      node.kwargs = kwargs
  
imports: from typing import Any
  from torch.nn import Module
  from torch_geometric.nn.fx import Transformer
label_desc: Use image node_id 2 for calling the ToFixedSizeTransformer obj's underlying member method code with example usage: obj.call_global_pooling_module(node, target, name) without return types