code: def __init__(
      self,
      hidden_size: int,
      intermediate_size: int,
      activation: Union[str, torch.nn.Module] = "relu",
  ):
      super().__init__(
          hidden_size, intermediate_size, activation, pool=True
      )
  
file_path: allennlp/allennlp/modules/transformer/transformer_pooler.py
imports: from typing import Union, TYPE_CHECKING
  import torch
  from allennlp.common import FromParams
  from allennlp.modules.transformer.activation_layer import ActivationLayer
label_desc: Use image node_id 1 to create a new TransformerPooler object from inherited base classes: ActivationLayer, FromParams with example: obj = TransformerPooler(hidden_size, intermediate_size, activation)