code: def output_shape(self) -> torch.Size:
      return self.encoder_obj.output_shape
  
imports: import logging
  from collections import Counter
  import numpy
  import torch
  from ludwig.constants import BAG, COLUMN, NAME, PROC_COLUMN
  from ludwig.features.base_feature import BaseFeatureMixin, InputFeature
  from ludwig.features.feature_utils import set_str_to_idx
  from ludwig.features.set_feature import _SetPreprocessing
  from ludwig.schema.features.bag_feature import BagInputFeatureConfig
  from ludwig.types import FeatureMetadataDict, ModelConfigDict, PreprocessingConfigDict, TrainingSetMetadataDict
  from ludwig.utils.strings_utils import create_vocabulary
label_desc: Use image node_id 4 for calling the BagInputFeature obj's underlying member method code with example usage: obj.output_shape() and returns: self