code: def _create_collate_fn(self, use_sample_weights=False):
      return partial(
          kimcnn_collate_fn,
          multi_label=self.multi_label,
          num_classes=self.num_classes,
          use_sample_weights=use_sample_weights,
          padding_idx=self.padding_idx,
          max_seq_len=self.max_seq_len,
          filter_padding=self.filter_padding,
      )
  
imports: import datetime
  import logging
  import tempfile
  import numpy
  from functools import partial
  from sklearn.preprocessing import MultiLabelBinarizer
  from small_text.classifiers.classification import EmbeddingMixin
  from small_text.integrations.pytorch.classifiers.base import PytorchClassifier
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.integrations.pytorch.models.kimcnn import KimCNN
  from small_text.utils.classification import get_splits
  from small_text.utils.context import build_pbar_context
  from small_text.utils.data import check_training_data, list_length
  from small_text.utils.annotations import early_stopping_deprecation_warning
  from small_text.utils.labels import csr_to_list, get_num_labels
  from small_text.utils.datetime import format_timedelta
  from small_text.utils.logging import verbosity_logger, VERBOSITY_MORE_VERBOSE
  from small_text.utils.system import get_tmp_dir_base
label_desc: Use image node_id 7 for calling the KimCNNClassifier obj's underlying member method code with example usage: obj._create_collate_fn(use_sample_weights) and returns: partial