code: def filter_pairs(*tensors: torch.Tensor):
      t = torch.stack(tensors)
      t, _ = torch.sort(t, dim=0)
      t = torch.unique(t, dim=1)
      return t.tolist()
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/histogram_loss.py
imports: import torch
  from ..distances import CosineSimilarity
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_metric_loss_function import BaseMetricLossFunction
label_desc: Use image node_id 1 for calling a global function with example usage: filter_pairs() and returns: t