docstr: input_arguments:
      @x: torch.FloatTensor
docstr_tok: ["input_arguments",":","@","x",":","torch.FloatTensor"]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      """
      input_arguments:
          @x: torch.FloatTensor
      """
      x = self.projection(x)
      return x
  
file_path: mmf/mmf/models/transformers/heads/refiner.py
imports: from dataclasses import dataclass, field
  from typing import Dict, List, Optional, Type
  import torch
  from mmf.common.registry import registry
  from mmf.models.transformers.base import BaseTransformerHead
  from mmf.modules.losses import RefinerContrastiveLoss, RefinerMSLoss
  from torch import nn
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x