code: def transformer_wmt_en_de_big_t2t():
      """Parameter used in the T2T implementation"""
      cfg = transformer_wmt_en_de_big()
      cfg.defrost()
      cfg.MODEL.attention_dropout = 0.1
      cfg.MODEL.activation_dropout = 0.1
      cfg.MODEL.ENCODER.pre_norm = True
      cfg.MODEL.DECODER.pre_norm = True
      cfg.freeze()
      return cfg
  
imports: import numpy
  import mxnet
  from mxnet import np, npx
  from mxnet import use_np
  from mxnet.gluon import nn, HybridBlock
  from typing import Optional, Tuple, List
  from ..utils.registry import Registry
  from ..attention_cell import MultiHeadAttentionCell, gen_self_attn_mask, gen_mem_attn_mask
  from ..layers import PositionalEmbedding, PositionwiseFFN, InitializerType
  from ..utils.config import CfgNode
  from ..sequence_sampler import BaseStepDecoder
label_desc: Use image node_id 5 for calling a global function with example usage: transformer_wmt_en_de_big_t2t() and returns: cfg