class_docstr: Implements an 'n-tower' MLPDecoder
code: def get_decoder(self) -> List[nn.Module]:
      return [
          getattr(self, f"tower_mlp_{i}")
          for i in range(len(self.tower_specific_hidden_dims))
      ]
  
file_path: pytext/pytext/models/decoders/mlp_decoder_n_tower.py
imports: 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 MLPDecoderNTower obj's underlying member method code with example usage: obj.get_decoder() and returns: unknown