code: def test_to_tensor_output(self):
      data = np.array(
          [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]]
      )
      to_tensor = ToTensor()
      output = to_tensor(data)
      assert isinstance(output, torch.Tensor)
  
file_path: pykale/tests/prepdata/test_tabular_transform.py
imports: import logging
  import numpy
  import pandas
  import pytest
  import torch
  from kale.prepdata.tabular_transform import apply_confidence_inversion, generate_struct_for_qbin, ToOneHotEncoding, ToTensor
  from kale.utils.seed import set_seed
label_desc: Use image node_id 1 for calling the TestToTensor obj's underlying member method code with example usage: obj.test_to_tensor_output() without return types