def test_set_attributes(self):
t = StochasticTensor(self.distrib, tf.constant([1., 2., 3.]))
self.assertTrue(hasattr(t, '_self_is_observed'))
self.assertFalse(hasattr(t.__wrapped__, '_self_is_observed'))
t._self_is_observed = 123
self.assertEqual(t._self_is_observed, 123)
self.assertFalse(hasattr(t.__wrapped__, '_self_is_observed'))
self.assertTrue(hasattr(t, 'log_prob'))
self.assertFalse(hasattr(t.__wrapped__, 'log_prob'))
t.log_prob = 456
self.assertEqual(t.log_prob, 456)
self.assertTrue(hasattr(t, 'log_prob'))
self.assertFalse(hasattr(t.__wrapped__, 'log_prob'))
self.assertTrue(hasattr(t, 'get_shape'))
self.assertTrue(hasattr(t.__wrapped__, 'get_shape'))
t.get_shape = 789
self.assertEqual(t.get_shape, 789)
self.assertEqual(t.__wrapped__.get_shape, 789)
self.assertTrue(hasattr(t, 'get_shape'))
self.assertTrue(hasattr(t.__wrapped__, 'get_shape'))
t.abc = 1001
self.assertEqual(t.abc, 1001)
self.assertEqual(t.__wrapped__.abc, 1001)
self.assertTrue(hasattr(t, 'abc'))
self.assertTrue(hasattr(t.__wrapped__, 'abc'))
t.__wrapped__.xyz = 2002
self.assertEqual(t.xyz, 2002)
self.assertEqual(t.__wrapped__.xyz, 2002)
self.assertTrue(hasattr(t, 'xyz'))
self.assertTrue(hasattr(t.__wrapped__, 'xyz'))
def test_dynamic_dimension_replaced_by_observed_shape(self):
distrib = _MyDistribution(tf.placeholder(tf.float32, (None, 3, 4)))
t = StochasticTensor(
distrib,
observed=tf.placeholder(tf.float32, (2, 3, None))
)
self.assertEqual(t.get_shape().as_list(), [2, 3, None])
