code: def forward(self, input: torch.Tensor) -> torch.Tensor:
      output = torch.squeeze(self.dense(input), dim=-1)
      return output
  
imports: import math
  import os
  import warnings
  from abc import abstractmethod
  from functools import lru_cache
  from typing import List, Optional, Tuple, Union
  import torch
  from torch import nn
  from torch.nn import Module, ModuleDict
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import ENCODER_OUTPUT
  from ludwig.utils.strings_utils import SpecialSymbol
label_desc: Use image node_id 3 for calling the Dense obj's underlying member method code with example usage: obj.forward(input) and returns: output