class_docstr: This is a feature extraction mixin used to provide saving/loading functionality for sequential and image feature
  extractors.
class_docstr_tok: ["This","is","a","feature","extraction","mixin","used","to","provide","saving\/loading","functionality","for","sequential","and","image","feature","extractors","."]
docstr: Serializes this instance to a Python dictionary. Returns:
      `Dict[str, Any]`: Dictionary of all the attributes that make up this configuration instance.
docstr_tok: ["Serializes","this","instance","to","a","Python","dictionary",".","Returns",":","`","Dict","[","str",",","Any","]","`",":","Dictionary","of","all","the","attributes","that","make","up","this","configuration","instance","."]
code: def to_dict(self) -> Dict[str, Any]:
      """
      Serializes this instance to a Python dictionary. Returns:
          `Dict[str, Any]`: Dictionary of all the attributes that make up this configuration instance.
      """
      output = copy.deepcopy(self.__dict__)
      output["feature_extractor_type"] = self.__class__.__name__
      if "mel_filters" in output:
          del output["mel_filters"]
      if "window" in output:
          del output["window"]
      return output
  
imports: import copy
  import json
  import os
  import warnings
  from collections import UserDict
  from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union
  import numpy
  from .dynamic_module_utils import custom_object_save
  from .utils import FEATURE_EXTRACTOR_NAME, PushToHubMixin, TensorType, add_model_info_to_auto_map, cached_file, copy_func, download_url, is_flax_available, is_jax_tensor, is_numpy_array, is_offline_mode, is_remote_url, is_tf_available, is_torch_available, is_torch_device, is_torch_dtype, logging, requires_backends
label_desc: Use image node_id 7 for calling the FeatureExtractionMixin obj's underlying member method code with example usage: obj.to_dict() and returns: output