code: def test_multi_input(self):
      tensors = convert_pandas_to_torch_tensor(
          data_batch, columns=[["A"], ["B"]]
      )
      assert len(tensors) == 2
  
      for i in range(len(tensors)):
          tensor = tensors[i]
          assert tensor.size() == (len(data_batch), 1)
          assert np.array_equal(
              tensor.numpy(),
              data_batch[[data_batch.columns[i]]].to_numpy(),
          )
  
file_path: ray/python/ray/train/tests/test_torch_utils.py
imports: import numpy
  import pandas
  import pytest
  import torch
  from ray.air._internal.torch_utils import contains_tensor, convert_pandas_to_torch_tensor, load_torch_model
  from ray.util.debug import _test_some_code_for_memory_leaks
label_desc: Use image node_id 5 for calling the TestConvertPandasToTorch obj's underlying member method code with example usage: obj.test_multi_input() without return types