docstr: Check the type errors for invalid input types.
code: def test_feature_steered_convolution_exception_raised_types(
      self, err_msg, data_type, neighbors_type, sizes_type, var_type
  ):
      """Check the type errors for invalid input types."""
      data, neighbors, sizes = _random_data(
          1, 5, 3, True, False, data_type, neighbors_type, sizes_type
      )
      u, v, c, w, b = _random_variables(3, 3, 1, var_type)
      with self.assertRaisesRegexp(TypeError, err_msg):
          _ = gc.feature_steered_convolution(
              data=data,
              neighbors=neighbors,
              sizes=sizes,
              var_u=u,
              var_v=v,
              var_c=c,
              var_w=w,
              var_b=b,
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  import tensorflow
  import tensorflow_graphics.geometry.convolution.graph_convolution
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 1 for calling the GraphConvolutionTestFeatureSteeredConvolutionTests obj's underlying member method code with example usage: obj.test_feature_steered_convolution_exception_raised_types(err_msg, data_type, neighbors_type, sizes_type, var_type) without return types