code: def _post_data_initialization(self, Y):
      super()._post_data_initialization(Y)
      self.target_dim = self.target_dim_
  
imports: import numpy
  from finetune.base import BaseModel
  from finetune.input_pipeline import BasePipeline
  from finetune.encoding.input_encoder import EncodedOutput
  from finetune.encoding.target_encoders import IDEncoder
  import tensorflow
  from finetune.nn.target_blocks import multi_choice_question
  from finetune.util import list_transpose
  from finetune.encoding.input_encoder import tokenize_context
  from finetune.model import PredictMode
label_desc: Use image node_id 2 for calling the MultipleChoicePipeline obj's underlying member method code with example usage: obj._post_data_initialization(Y) without return types