Unable to run inference with my trained VAD model.
Hi, I am facing the problem of running inference with my own trained VAD model in the diarization pipeline. I have found #2348 this solution and did the same what you have said. But now I am facing this issue:

```
[NeMo I 2021-10-05 08:44:52 speaker_utils:337] Performing Clustering

  0%|          | 0/1 [00:00<?, ?it/s]
---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
/tmp/ipykernel_126575/2138038744.py in <module>
     45 
     46 sd_model = ClusteringDiarizer(cfg=config)
---> 47 sd_model.diarize()
     48 # IPython.display.clear_output(wait=False)
     49 

~/env/nemo/lib/python3.8/site-packages/nemo/collections/asr/models/clustering_diarizer.py in diarize(self, paths2audio_files, batch_size)
    352         os.makedirs(out_rttm_dir, exist_ok=True)
    353 
--> 354         perform_diarization(
    355             embeddings_file=self._embeddings_file,
    356             reco2num=self._num_speakers,

~/env/nemo/lib/python3.8/site-packages/nemo/collections/asr/parts/speaker_utils.py in perform_diarization(embeddings_file, reco2num, manifest_path, sample_rate, window, shift, audio_rttm_map, out_rttm_dir, max_num_speakers)
    336     )
    337     logging.info("Performing Clustering")
--> 338     all_reference, all_hypothesis = perform_clustering(
    339         embeddings, time_stamps, speakers, audio_rttm_map, out_rttm_dir, max_num_speakers
    340     )

~/env/nemo/lib/python3.8/site-packages/nemo/collections/asr/parts/speaker_utils.py in perform_clustering(embeddings, time_stamps, speakers, audio_rttm_map, out_rttm_dir, max_num_speakers)
    262 
    263         lines = time_stamps[uniq_key]
--> 264         assert len(cluster_labels) == len(lines)
    265         for idx, label in enumerate(cluster_labels):
    266             tag = 'speaker_' + str(label)

AssertionError: 
```