docstr: Test unflattening with a preset input.
code: def test_unflatten_batch_to_2d_preset(self):
      """Test unflattening with a preset input."""
      data = 1.0 + np.reshape(np.arange(12, dtype=np.float32), (6, 2))
      sizes = (2, 3, 1)
      output_true = np.array(
          (
              ((1.0, 2.0), (3.0, 4.0), (0.0, 0.0)),
              ((5.0, 6.0), (7.0, 8.0), (9.0, 10.0)),
              ((11.0, 12.0), (0.0, 0.0), (0.0, 0.0)),
          ),
          dtype=np.float32,
      )
      output_true_padded = np.pad(
          output_true, ((0, 0), (0, 2), (0, 0)), mode="constant"
      )
  
      output = utils.unflatten_2d_to_batch(data, sizes, max_rows=None)
      output_padded = utils.unflatten_2d_to_batch(
          data, sizes, max_rows=5
      )
  
      self.assertAllEqual(output, output_true)
      self.assertAllEqual(output_padded, output_true_padded)
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import linalg
  import tensorflow
  from tensorflow_graphics.geometry.convolution import utils
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 4 for calling the UtilsUnflatten2dToBatchTest obj's underlying member method code with example usage: obj.test_unflatten_batch_to_2d_preset() without return types