code: def _compute_distances(self, x, labels=None):
      # Useless for testing purposes
      # if self._is_binary:
      #     return self._compute_hamming_distances(x)
      # else:
      return self._compute_l2_distances(x, labels=labels)
  
imports: import torch
  import torch.nn
  from pytorch_metric_learning.utils import common_functions
  from pytorch_metric_learning.utils import loss_and_miner_utils
  import unittest
  from pytorch_metric_learning.losses import DynamicSoftMarginLoss
  from ..None import TEST_DEVICE, TEST_DTYPES
  from ..zzz_testing_utils.testing_utils import angle_to_coord
label_desc: Use image node_id 2 for calling the OriginalImplementationDynamicSoftMarginLoss obj's underlying member method code with example usage: obj._compute_distances(x, labels) and returns: self