@geomstats.tests.np_and_autograd_only
def test_fit_inverse_transform_vector(self):
    tpca = TangentPCA(metric=self.metric)
    tangent_projected_data = tpca.fit_transform(self.X)
    result = tpca.inverse_transform(tangent_projected_data)
    expected = self.X
    self.assertAllClose(result, expected)
@geomstats.tests.np_and_autograd_only
def test_fit_inverse_transform_vector(self):
    tpca = TangentPCA(metric=self.metric)
    tangent_projected_data = tpca.fit_transform(self.X)
    result = tpca.inverse_transform(tangent_projected_data)
    expected = self.X
    self.assertAllClose(result, expected)