code: def test_single_tensor_columns(self):
      tensor = convert_pandas_to_torch_tensor(data_batch, columns=["A"])
      assert tensor.size() == (
          len(data_batch),
          len(data_batch.columns) - 1,
      )
      assert np.array_equal(
          tensor.numpy(), data_batch[["A"]].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 4 for calling the TestConvertPandasToTorch obj's underlying member method code with example usage: obj.test_single_tensor_columns() without return types