class_docstr: Implements a 'tri-tower' MLPDecoder: one for left, one for middle, and one for right
class_docstr_tok: ["Implements","a","'tri-tower","'","MLPDecoder",":","one","for","left",",","one","for","middle",",","and","one","for","right"]
code: def get_decoder(self) -> List[nn.Module]:
      return [
          self.mlp_for_left,
          self.mpl_for_middle,
          self.mlp_for_right,
      ]
  
file_path: pytext/pytext/models/decoders/mlp_decoder_tri_tower.py
imports: from enum import Enum
  from typing import List
  import torch
  import torch.nn
  from pytext.config.module_config import Activation
  from pytext.models.decoders.decoder_base import DecoderBase
  from pytext.optimizer import get_activation
  from pytext.utils import precision
  from pytext.utils.usage import log_class_usage
label_desc: Use image node_id 4 for calling the MLPDecoderTriTower obj's underlying member method code with example usage: obj.get_decoder() and returns: list