docstr: computes the affinity matrix between an input vector and itself
docstr_tok: ["computes","the","affinity","matrix","between","an","input","vector","and","itself"]
code: def compute_aff(self, x):
      """computes the affinity matrix between an input vector and itself"""
      return torch.mm(x, x.t())
  
file_path: pytorch-metric-learning/tests/losses/test_pnp_loss.py
imports: import unittest
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.nn.functional
  from pytorch_metric_learning.losses import PNPLoss
  from ..None import TEST_DEVICE, TEST_DTYPES
label_desc: Use image node_id 4 for calling the OriginalImplementationPNP obj's underlying member method code with example usage: obj.compute_aff(x) and returns: torch