code: def test_forward_pass_memory_bank(self):
      loss = NTXentLoss(memory_bank_size=64)
      for bsz in range(1, 20):
          batch_1 = torch.randn((bsz, 32))
          batch_2 = torch.randn((bsz, 32))
          l = loss(batch_1, batch_2)
  
imports: import unittest
  import numpy
  import pytest
  import torch
  from pytest_mock import MockerFixture
  from torch import distributed
  from lightly.loss import NTXentLoss
label_desc: Use image node_id 7 for calling the TestNTXentLossUnitTest obj's underlying member method code with example usage: obj.test_forward_pass_memory_bank() without return types