code: def is_match(self, x, y, threshold=None):
      threshold = threshold if threshold is not None else self.threshold
      with torch.no_grad():
          dist = self.distance.pairwise_distance(x, y)
          output = (
              dist >= threshold
              if self.distance.is_inverted
              else dist <= threshold
          )
          if output.nelement() == 1:
              return output.detach().item()
          return output.cpu().numpy()
  
imports: import numpy
  import torch
  from ..distances import BatchedDistance, CosineSimilarity
  from .None import common_functions
label_desc: Use image node_id 5 for calling the MatchFinder obj's underlying member method code with example usage: obj.is_match(x, y, threshold) and returns: output, output