code: def _test_swav_distillation_criterion_no_shk(gpu_id: int):
      torch.random.manual_seed(gpu_id)
  
      num_crops = 6
      batch_size = 5
      embedding_dim = 16
      num_prototypes = 300
      criterion = SwAVDistillationCriterion(
          temperature=0.5,
          num_crops=num_crops,
          num_iters=0,
          epsilon=0.05,
          use_double_prec=False,
          num_prototypes=[num_prototypes],
          output_dir=".",
          temp_hard_assignment_iters=0,
          local_queue_length=30,
          swapped_assignment=True,
      ).cuda(gpu_id)
  
      logits = torch.randn(
          size=(batch_size * num_crops, embedding_dim)
      ).cuda(gpu_id)
      teacher_scores = torch.randn(
          size=(batch_size * 2, num_prototypes)
      ).cuda(gpu_id)
      teacher_prototypes = torch.randn(
          size=(num_prototypes, embedding_dim)
      ).cuda(gpu_id)
      loss = criterion(logits, teacher_scores, teacher_prototypes)
      print(f"DISTILL LOSS (GPU ID {gpu_id}):", loss.item())
  
imports: import os
  import unittest
  import torch
  import torch.nn.functional
  from vissl.losses.swav_distillation_loss import SwAVDistillationCriterion
  from vissl.losses.swav_loss import SwAVCriterion
  from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict
  from vissl.utils.test_utils import gpu_test, in_temporary_directory, run_integration_test, spawn_distributed_test
label_desc: Use image node_id 9 for calling the TestDistillationSwAV obj's underlying member method code with example usage: obj._test_swav_distillation_criterion_no_shk(gpu_id) without return types