code: def get_incompatible_losses():
      return [
          losses.AngularLoss(),
          losses.ArcFaceLoss(10, 32),
          losses.CosFaceLoss(10, 32),
          losses.FastAPLoss(),
          losses.InstanceLoss(),
          losses.LargeMarginSoftmaxLoss(10, 32),
          losses.NPairsLoss(),
          losses.NCALoss(),
          losses.NormalizedSoftmaxLoss(10, 32),
          losses.ProxyAnchorLoss(10, 32),
          losses.ProxyNCALoss(10, 32),
          losses.SoftTripleLoss(10, 32),
          losses.SphereFaceLoss(10, 32),
          losses.SubCenterArcFaceLoss(
              num_classes=10, embedding_size=32
          ),
      ]
  
file_path: pytorch-metric-learning/tests/losses/test_losses_without_labels.py
imports: import unittest
  import torch
  from pytorch_metric_learning import losses
  from pytorch_metric_learning.miners import MultiSimilarityMiner, TripletMarginMiner
  from pytorch_metric_learning.utils.loss_and_miner_utils import get_all_pairs_indices
  from ..None import TEST_DEVICE
label_desc: Use image node_id 2 for calling a global function with example usage: get_incompatible_losses() and returns: list