code: def test_inference_speaker_verification(self):
      model = WavLMForXVector.from_pretrained(
          "microsoft/wavlm-base-plus-sv"
      ).to(torch_device)
      processor = Wav2Vec2FeatureExtractor.from_pretrained(
          "microsoft/wavlm-base-plus-sv"
      )
      input_data = self._load_superb("si", 4)
  
      inputs = processor(
          input_data["speech"], return_tensors="pt", padding=True
      )
      labels = torch.tensor([5, 1, 1, 3], device=torch_device).T
  
      with torch.no_grad():
          input_values = inputs.input_values.to(torch_device)
          attention_mask = inputs.attention_mask.to(torch_device)
          outputs = model(
              input_values, attention_mask=attention_mask, labels=labels
          )
      embeddings = torch.nn.functional.normalize(
          outputs.embeddings, dim=-1
      )
  
      cosine_sim = torch.nn.CosineSimilarity(dim=-1)
      # id10002 vs id10002
      self.assertAlmostEqual(
          cosine_sim(embeddings[1], embeddings[2]).item(), 0.9787, 3
      )
      # id10006 vs id10002
      self.assertAlmostEqual(
          cosine_sim(embeddings[0], embeddings[1]).item(), 0.5064, 3
      )
      # id10002 vs id10004
      self.assertAlmostEqual(
          cosine_sim(embeddings[2], embeddings[3]).item(), 0.4780, 3
      )
  
      # TODO: update the tolerance after the CI moves to torch 1.10
      self.assertAlmostEqual(outputs.loss.item(), 18.4154, 2)
  
imports: import math
  import unittest
  import pytest
  from datasets import load_dataset
  from transformers import WavLMConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 6 for calling the WavLMModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_speaker_verification() without return types