code: def forward(self, pooled):
      x = self.dropout(pooled)
      x = self.dense(x)
      x = torch.tanh(x)
      x = self.dropout(x)
      logits = self.out_proj(x)
      return logits
  
imports: from __future__ import annotations
  import abc
  import torch
  import torch.nn
  import transformers
  from jiant.ext.allennlp import SelfAttentiveSpanExtractor
  from jiant.shared.model_resolution import ModelArchitectures
  from jiant.tasks.core import TaskTypes
  from typing import Callable
  from typing import List
label_desc: Use image node_id 2 for calling the ClassificationHead obj's underlying member method code with example usage: obj.forward(pooled) and returns: logits