class_docstr: From RobertaLMHead
class_docstr_tok: ["From","RobertaLMHead"]
code: def forward(self, unpooled):
      x = self.dense(unpooled)
      x = transformers.models.bert.modeling_bert.gelu(x)
      x = self.layer_norm(x)
  
      # project back to size of vocabulary with bias
      logits = self.decoder(x) + self.bias
      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 RobertaMLMHead obj's underlying member method code with example usage: obj.forward(unpooled) and returns: logits