code: def __init__(self, n_ctx, config, scale=False):
      super(Block, self).__init__()
      nx = config.embedding_dim
      self.attn = Attention(nx, n_ctx, config, scale)
      self.ln_1 = LayerNorm(nx)
      self.mlp = MLP(4 * nx, config)
      self.ln_2 = LayerNorm(nx)
  
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import copy
  import io
  import json
  import logging
  import math
  import re
  import tarfile
  import numpy
  import torch
  from torch.nn import Parameter
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.file_utils import cached_path
  from allennlp.common.from_params import FromParams
  from io import open
label_desc: Use image node_id 1 to create a new Block object from inherited base classes: torch.nn with example: obj = Block(n_ctx, config, scale)