code: def _hinge_loss_compute(measure: Tensor, total: Tensor) -> Tensor:
      return measure / total
  
file_path: torchmetrics/src/torchmetrics/functional/classification/hinge.py
imports: from typing import Optional, Tuple
  import torch
  from torch import Tensor, tensor
  from typing_extensions import Literal
  from torchmetrics.functional.classification.confusion_matrix import _binary_confusion_matrix_format, _binary_confusion_matrix_tensor_validation, _multiclass_confusion_matrix_format, _multiclass_confusion_matrix_tensor_validation
  from torchmetrics.utilities.data import to_onehot
  from torchmetrics.utilities.enums import ClassificationTaskNoMultilabel
label_desc: Use image node_id 1 for calling a global function with example usage: _hinge_loss_compute(measure, total) and returns: unknown