class_docstr: Though this class inherits from torch.nn.TransformerEncoderLayer,
  it functions as a decoder in this model
code: def __init__(self, ninp, nhead, nhid, droupout):
      super().__init__(ninp, nhead, nhid, droupout)
      self.src_mask = None
  
imports: import argparse
  import math
  import os
  import time
  import torch
  import torch.nn
  from benchmark_dataset import BenchmarkLMDataset, collate_sentences_lm
  from torch.distributed import rpc
  from torch.distributed.pipeline.sync import Pipe
  from torch.distributed.pipeline.sync.utils import partition_model
  from torch.optim import Adam
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 to create a new TransformerDecoderLayer object from inherited base classes: nn with example: obj = TransformerDecoderLayer(ninp, nhead, nhid, droupout)