docstr: Returns index of largest (spatially) feature map (with smallest stride)
  :return: 0-based index of largest feature map
docstr_tok: ["Returns","index","of","largest","(","spatially",")","feature","map","(","with","smallest","stride",")",":","return",":","0-based","index","of","largest","feature","map"]
code: def get_index_of_largest_feature_map(self) -> int:
      """
      Returns index of largest (spatially) feature map (with smallest stride)
      :return: 0-based index of largest feature map
      """
      return int(np.argmin(self.strides))
  
imports: import dataclasses
  from abc import abstractmethod
  from typing import Protocol, Tuple, List, Union, Mapping, Callable
  import numpy
  import torch.jit
  from torch import nn, Tensor
  from pytorch_toolbelt.utils import pytorch_toolbelt_deprecated
label_desc: Use image node_id 2 for calling the FeatureMapsSpecification obj's underlying member method code with example usage: obj.get_index_of_largest_feature_map() and returns: int