def test_tf_check_shape_deep_monitored_params(self):
p = make_param_tf(constant=self.inp, shape=self.shape, monitor=True)
self.sess.run(tf.global_variables_initializer())
self.assertEqual(p.shape, self.shape)
def test_tf_check_shape_deep_params(self):
p = make_param_tf(shape=self.shape)
self.sess.run(tf.global_variables_initializer())
self.assertEqual(p.shape, self.shape)
def test_tf_regul_interval_param_name(self):
p = make_param_tf(name='param3',
interval=self.interval,
regularize=True)
self.assertEquals(p.name, 'regularized/param3:0')
def test_tf_constant_monitored_param(self):
p = make_param_tf(constant=self.inp, monitor=True)
self.sess.run(tf.global_variables_initializer())
p_res = self.sess.run(p)
self.assertAlmostEqual(p_res, self.inp)
def test_tf_regul_normal_param_name(self):
p = make_param_tf(name='param2', stdev=self.inp, regularize=True)
self.assertEquals(p.name, 'regularized/param2:0')
def test_tf_regul_constant_param_name(self):
p = make_param_tf(name='param1', constant=self.inp, regularize=True)
self.assertEquals(p.name, 'regularized/param1:0')
def test_tf_regul_param_name(self):
p = make_param_tf(name='param', regularize=True)
self.assertEquals(p.name, 'regularized/param:0')
def test_tf_make_interval_param(self):
p = make_param_tf(interval=self.interval, seed=self.seed)
self.sess.run(tf.global_variables_initializer())
p_res = self.sess.run(p)
self.assertAlmostEqual(p_res, -0.5219252, delta=0.0001)
def test_tf_make_normal_param(self):
p = make_param_tf(stdev=self.inp, seed=self.seed)
self.sess.run(tf.global_variables_initializer())
p_res = self.sess.run(p)
self.assertAlmostEqual(p_res, -0.4056591, delta=0.0001)