docstr: Predicts summary of an input text and outputs information needed for evaluation:
  output logits, input tokens, output tokens, predicted tokens, preprocessed text,
  attention alignment.
  
  Args:
      input_text: Text used as input for prediction.
      target_text: Text used for evaluation.
  
  Returns: Dictionary with prediction information such as
      preprocessed_text, logits, alignment, predicted_sequence, predicted_text.
docstr_tok: ["Predicts","summary","of","an","input","text","and","outputs","information","needed","for","evaluation",":","output","logits",",","input","tokens",",","output","tokens",",","predicted","tokens",",","preprocessed","text",",","attention","alignment",".","Args",":","input_text",":","Text","used","as","input","for","prediction",".","target_text",":","Text","used","for","evaluation",".","Returns",":","Dictionary","with","prediction","information","such","as","preprocessed_text",",","logits",",","alignment",",","predicted_sequence",",","predicted_text","."]
code: def predict_vectors(
      self, input_text: str, target_text: str
  ) -> Dict[str, Union[str, np.array]]:
      """
      Predicts summary of an input text and outputs information needed for evaluation:
      output logits, input tokens, output tokens, predicted tokens, preprocessed text,
      attention alignment.
  
      Args:
          input_text: Text used as input for prediction.
          target_text: Text used for evaluation.
  
      Returns: Dictionary with prediction information such as
          preprocessed_text, logits, alignment, predicted_sequence, predicted_text.
  
      """
  
      pass
  
file_path: headliner/headliner/model/summarizer.py
imports: import abc
  from abc import abstractmethod
  from typing import Callable, Dict, Union
  import numpy
  import tensorflow
  from headliner.preprocessing import Preprocessor, Vectorizer
label_desc: Use image node_id 4 for calling the Summarizer obj's underlying member method code with example usage: obj.predict_vectors(input_text, target_text) without return types