code: def inner_product_from_vec_representation_test_data(self):
      data = [
          dict(
              tangent_vec_a=gs.array([1.0, 0, 2.0]),
              tangent_vec_b=gs.array([1.0, 0, 0.5]),
              expected=4.0,
          ),
          dict(
              tangent_vec_a=gs.array([[1.0, 0, 2.0], [0, 3.0, 5.0]]),
              tangent_vec_b=gs.array([1.0, 0, 0.5]),
              expected=gs.array([4.0, 5.0]),
          ),
      ]
  
      return self.generate_tests(data)
  
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 7 for calling the InvariantMetricMatrixSO3TestData obj's underlying member method code with example usage: obj.inner_product_from_vec_representation_test_data() and returns: self