class_docstr: Base class for input data adapters.
  
  The purpose of a DataAdapter is to provide a unfied interface to
  iterate over input data provided in a variety of formats -- such as
  NumPy arrays, tf.Tensors, tf.data.Datasets, Keras PyDatasets, etc.
docstr: The size of the final partial batch for dataset.
  
  Will return None if has_partial_batch is False or batch_size is None.
docstr_tok: ["The","size","of","the","final","partial","batch","for","dataset",".","Will","return","None","if","has_partial_batch","is","False","or","batch_size","is","None","."]
code: def partial_batch_size(self):
      """The size of the final partial batch for dataset.
  
      Will return None if has_partial_batch is False or batch_size is None.
      """
      raise NotImplementedError
  
file_path: keras/keras/trainers/data_adapters/data_adapter.py
label_desc: Use image node_id 6 for calling the DataAdapter obj's underlying member method code with example usage: obj.partial_batch_size() without return types