docstr: Check that invalid input types trigger the right exception.
code: def test_input_type_exception_raised(self):
      """Check that invalid input types trigger the right exception."""
      with self.assertRaisesRegexp(
          TypeError, "'sizes' must have an integer type."
      ):
          utils.unflatten_2d_to_batch(np.ones((3, 4)), np.ones((3,)))
  
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 2 for calling the UtilsUnflatten2dToBatchTest obj's underlying member method code with example usage: obj.test_input_type_exception_raised() without return types