code: def test_make_bert_embeddings(self):
      model = get_bert_model()
      device = torch.device(
          "cpu" if not torch.cuda.is_available() else "cuda"
      )
      train_dataset = get_mnli_test_dataset("train")
      train_dataset = list(train_dataset[TEXT_COL])
      training_embeddings = make_bert_embeddings(
          train_dataset, model, device
      )
      assert training_embeddings is not None
  
file_path: interpret-text/test/unit/test_unified_utils.py
imports: import torch
  from interpret_text.experimental.common.utils_unified import _get_single_embedding, make_bert_embeddings
  from utils_test import get_mnli_test_dataset, get_bert_model
label_desc: Use image node_id 3 for calling the TestUnifiedExplainerUtils obj's underlying member method code with example usage: obj.test_make_bert_embeddings() without return types