code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.target_dim = 0
      self.label_encoder = self._target_encoder()
  
imports: import functools
  import numpy
  import tensorflow
  from finetune.base import BaseModel
  from finetune.encoding.target_encoders import Seq2SeqLabelEncoder
  from finetune.input_pipeline import BasePipeline
  from finetune.model import PredictMode
  from finetune.util.beam_search import beam_search, get_state_shape_invariants
  from tensorflow.python.util import nest
  import itertools
  import sys
label_desc: Use image node_id 1 to create a new S2SPipeline object from inherited base classes: BasePipeline with example: obj = S2SPipeline()