def test_triangulate_jacobian_is_finite(self):
"""Tests that Jacobian is finite."""
self._generate_random_example()
self.assert_jacobian_is_finite_fn(
lambda x: ray.triangulate(x, self.endpoints, self.weights),
[self.startpoints_values])
self.assert_jacobian_is_finite_fn(
lambda x: ray.triangulate(self.startpoints, x, self.weights),
[self.endpoints_values])
self.assert_jacobian_is_finite_fn(
lambda x: ray.triangulate(self.startpoints, self.endpoints, x),
[self.weights_values])
def test_negative_weights_exception_raised(self):
"""Tests that exceptions are properly raised."""
self._generate_random_example()
self.weights = -1.0 * tf.ones_like(self.weights, dtype=tf.float64)
with self.assertRaises(tf.errors.InvalidArgumentError):
points = ray.triangulate(self.startpoints, self.endpoints, self.weights)
self.evaluate(points)
def test_less_that_two_nonzero_weights_exception_raised(self):
"""Tests that exceptions are properly raised."""
self._generate_random_example()
self.weights = tf.convert_to_tensor(
value=np.array([[[1., 1., 0., 0.], [1., 1., 0., 0.], [1., 1., 0., 0.]],
[[1., 1., 0., 0.], [1., 1., 0., 0.], [1., 0., 0., 0.]]],
dtype=np.float64))
with self.assertRaises(tf.errors.InvalidArgumentError):
points = ray.triangulate(self.startpoints, self.endpoints, self.weights)
self.evaluate(points)
def test_triangulate_jacobian_is_finite(self):
"""Tests that Jacobian is finite."""
self._generate_random_example()
points = ray.triangulate(self.startpoints, self.endpoints, self.weights)
self.assert_jacobian_is_finite(self.startpoints, self.startpoints_values,
points)
self.assert_jacobian_is_finite(self.endpoints, self.endpoints_values,
points)
self.assert_jacobian_is_finite(self.weights, self.weights_values, points)
