class_docstr: This module implements the task specific estimator for PyTorch object detection models following the input and
  output formats of torchvision.
class_docstr_tok: ["This","module","implements","the","task","specific","estimator","for","PyTorch","object","detection","models","following","the","input","and","output","formats","of","torchvision","."]
docstr: Return the shape of one input sample.
  
  :return: Shape of one input sample.
docstr_tok: ["Return","the","shape","of","one","input","sample",".",":","return",":","Shape","of","one","input","sample","."]
code: def input_shape(self) -> Tuple[int, ...]:
      """
      Return the shape of one input sample.
  
      :return: Shape of one input sample.
      """
      return self._input_shape
  
imports: import logging
  from typing import List, Dict, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  from art.estimators.object_detection.object_detector import ObjectDetectorMixin
  from art.estimators.object_detection.utils import cast_inputs_to_pt
  from art.estimators.pytorch import PyTorchEstimator
label_desc: Use image node_id 4 for calling the PyTorchObjectDetector obj's underlying member method code with example usage: obj.input_shape() and returns: self