code: def test_empty_transformer_text_field():
      field = TransformerTextField(
          torch.IntTensor([]), padding_token_id=9
      )
      field = field.empty_field()
      assert (
          isinstance(field, TransformerTextField)
          and field.padding_token_id == 9
      )
      field_as_tensor = field.as_tensor(field.get_padding_lengths())
      assert "input_ids" in field_as_tensor
      assert "attention_mask" in field_as_tensor
      assert torch.all(
          field_as_tensor["attention_mask"] == torch.BoolTensor([])
      )
      assert torch.all(
          field_as_tensor["input_ids"] == torch.IntTensor([])
      )
  
file_path: allennlp/tests/data/fields/transformer_text_field_test.py
imports: import torch
  import pytest
  from allennlp.common.cached_transformers import get_tokenizer
  from allennlp.data import Batch, Instance
  from allennlp.data.fields import TransformerTextField
label_desc: Use image node_id 2 for calling a global function with example usage: test_empty_transformer_text_field() without return types