class_docstr: Base class for an extractor of a set of features from images.
docstr: Returns:
      total number of feature dimensions of the output.
      (i.e. sum_i(dim_i))
docstr_tok: ["Returns",":","total","number","of","feature","dimensions","of","the","output",".","(","i.e",".","sum_i","(","dim_i",")",")"]
code: def get_feat_dims(self) -> int:
      """
      Returns:
          total number of feature dimensions of the output.
          (i.e. sum_i(dim_i))
      """
      raise NotImplementedError
  
imports: from typing import Any, Dict, Optional
  import torch
  from pytorch3d.implicitron.tools.config import ReplaceableBase
label_desc: Use image node_id 1 for calling the FeatureExtractorBase obj's underlying member method code with example usage: obj.get_feat_dims() without return types