code: def filter_indices_by_size(self, indices, max_sizes):
      indices, ignored = data_utils._filter_by_size_dynamic(
          indices, self.size, max_sizes
      )
      return indices, ignored
  
file_path: fairseq/fairseq/data/add_class_target_dataset.py
imports: import torch
  from .None import BaseWrapperDataset, data_utils
  from fairseq.data.text_compressor import TextCompressor, TextCompressionLevel
label_desc: Use image node_id 6 for calling the AddTargetDataset obj's underlying member method code with example usage: obj.filter_indices_by_size(indices, max_sizes) and returns: indices,  ignored