class_docstr: This module implements the task- and model-specific estimator for PyTorch GOTURN (object tracking).
class_docstr_tok: ["This","module","implements","the","task-","and","model-specific","estimator","for","PyTorch","GOTURN","(","object","tracking",")","."]
docstr: Are the native labels in PyTorch format [x1, y1, x2, y2]?
docstr_tok: ["Are","the","native","labels","in","PyTorch","format","[","x1",",","y1",",","x2",",","y2","]","?"]
code: def native_label_is_pytorch_format(self) -> bool:
      """
      Are the native labels in PyTorch format [x1, y1, x2, y2]?
      """
      return True
  
imports: import logging
  import time
  from typing import List, Dict, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  from art.estimators.object_tracking.object_tracker import ObjectTrackerMixin
  from art.estimators.pytorch import PyTorchEstimator
label_desc: Use image node_id 2 for calling the PyTorchGoturn obj's underlying member method code with example usage: obj.native_label_is_pytorch_format() and returns: True