class_docstr: Solver for raw tensorflow model.
docstr: Build the output of the model.
  `score` and `input_y` are for loss calculation.
  `preds` and `y_ground_truth` are for metric calculation.
docstr_tok: ["Build","the","output","of","the","model",".","`","score","`","and","`","input_y","`","are","for","loss","calculation",".","`","preds","`","and","`","y_ground_truth","`","are","for","metric","calculation","."]
code: def build_output(self, model):  # pylint: disable=no-self-use
      """
      Build the output of the model.
      `score` and `input_y` are for loss calculation.
      `preds` and `y_ground_truth` are for metric calculation.
      """
      model.preds, score = crf_decode(
          model.logits, model.transitions, model.input_x_len
      )
  
      model.score = tf.identity(score, name="score")
      model.y_ground_truth = model.input_y
  
file_path: delta/delta/utils/solver/raw_seq_label_solver.py
imports: import delta.compat
  from tensorflow_addons.text import crf_decode
  from delta.utils.register import registers
  from delta.utils.solver.raw_solver import RawSolver
label_desc: Use image node_id 1 for calling the RawSeqLabelSolver obj's underlying member method code with example usage: obj.build_output(model) without return types