code: def test_gmm_pytorch_fit():
      """Test GMM detector pytorch fit method.
  
      Tests pytorch detector checks for convergence and stops early if it does.
      """
      gmm_torch = GMMTorch(n_components=1)
      mean = [8, 8]
      cov = [[2.0, 0.0], [0.0, 1.0]]
      x_ref = torch.tensor(
          np.random.multivariate_normal(mean, cov, 1000)
      )
      fit_results = gmm_torch.fit(x_ref, tol=0.01)
      assert fit_results["converged"]
      assert fit_results["n_epochs"] < 10
      assert fit_results["lower_bound"] < 1
  
file_path: alibi-detect/alibi_detect/od/tests/test__gmm/test__gmm_pytorch_backend.py
imports: import pytest
  import numpy
  import torch
  from alibi_detect.od.pytorch.gmm import GMMTorch
  from alibi_detect.exceptions import NotFittedError, ThresholdNotInferredError
label_desc: Use image node_id 4 for calling a global function with example usage: test_gmm_pytorch_fit() without return types