code: def test_as_tensor_with_scalar_keeps_dtype(self):
      array = TensorField(numpy.asarray(42, dtype=numpy.float32))
      returned_tensor = array.as_tensor(array.get_padding_lengths())
      assert returned_tensor.dtype == torch.float32
  
file_path: allennlp/tests/data/fields/tensor_field_test.py
imports: import numpy
  import torch
  from allennlp.common.testing.test_case import AllenNlpTestCase
  from allennlp.data.fields import TensorField, ListField
label_desc: Use image node_id 7 for calling the TestTensorField obj's underlying member method code with example usage: obj.test_as_tensor_with_scalar_keeps_dtype() without return types