class_docstr: Wrap the data collator to remove unused columns before they are passed to the collator.
class_docstr_tok: ["Wrap","the","data","collator","to","remove","unused","columns","before","they","are","passed","to","the","collator","."]
code: def _remove_columns(self, feature: dict) -> dict:
      if not isinstance(feature, dict):
          return feature
      if not self.message_logged and self.logger and self.model_name:
          ignored_columns = list(
              set(feature.keys()) - set(self.signature_columns)
          )
          if len(ignored_columns) > 0:
              dset_description = (
                  ""
                  if self.description is None
                  else f"in the {self.description} set"
              )
              self.logger.info(
                  f"The following columns {dset_description} don't have a corresponding argument in "
                  f"`{self.model_name}.forward` and have been ignored: {', '.join(ignored_columns)}."
                  f" If {', '.join(ignored_columns)} are not expected by `{self.model_name}.forward`, "
                  " you can safely ignore this message."
              )
              self.message_logged = True
      return {
          k: v
          for k, v in feature.items()
          if k in self.signature_columns
      }
  
imports: import copy
  import functools
  import gc
  import inspect
  import os
  import random
  import re
  import threading
  import time
  from typing import Any, Dict, List, NamedTuple, Optional, Tuple, Union
  import numpy
  from .utils import ExplicitEnum, is_psutil_available, is_tf_available, is_torch_available, is_torch_cuda_available, is_torch_tpu_available, requires_backends
label_desc: Use image node_id 2 for calling the RemoveColumnsCollator obj's underlying member method code with example usage: obj._remove_columns(feature) and returns: unknown, feature