code: def get_tensor_shape(self, batch_size: int, seq_length: int) -> Tuple:
      if self.multi_label:
          return batch_size, len(self.vocab2idx)
      else:
          return (batch_size,)
  
file_path: Kashgari/kashgari/processors/class_processor.py
imports: import collections
  import operator
  from typing import List, Union, Dict, Optional, Any, Tuple
  import numpy
  import tqdm
  from kashgari.generators import CorpusGenerator
  from kashgari.processors.abc_processor import ABCProcessor
  from kashgari.types import TextSamplesVar
label_desc: Use image node_id 4 for calling the ClassificationProcessor obj's underlying member method code with example usage: obj.get_tensor_shape(batch_size, seq_length) and returns: batch_size,  len, batch_size