code: def __init__(self, *args, **kwargs):
      print(
          "Note: TransformerNMTInference is deprecated. We have renamed it to TransformerInference and "
          "migrated all previous functionalities. Please use it instead."
      )
      super().__init__(*args, **kwargs)
  
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 1 to create a new TransformerNMTInference object from inherited base classes: TransformerInference with example: obj = TransformerNMTInference()