def test_universal():
np.random.seed(98052)
builtin_sgd = lambda params: sgd(params, lr=learning_rate_schedule(0.125, UnitType.minibatch))
builtin_last_avg_error, builtin_avg_error, _ = ffnet(builtin_sgd)
np.random.seed(98052)
my_sgd = lambda ps, gs: C.combine([C.assign(p, p - 0.125/25 * g) for p, g in zip(ps, gs)])
universal_sgd = lambda params: universal(my_sgd, params)
my_last_avg_error, my_avg_error, _ = ffnet(universal_sgd)
assert np.all(np.less_equal(my_last_avg_error, builtin_last_avg_error))
assert np.all(np.less_equal(my_avg_error, builtin_avg_error))
def test_universal():
np.random.seed(98052)
builtin_sgd = lambda params: sgd(params, lr=learning_rate_schedule(0.125, UnitType.minibatch))
builtin_last_avg_error, builtin_avg_error = ffnet(builtin_sgd)
np.random.seed(98052)
my_sgd = lambda p, g: C.assign(p, p - 0.125/25 * g)
universal_sgd = lambda params: universal(my_sgd, params)
my_last_avg_error, my_avg_error = ffnet(universal_sgd)
assert np.allclose(my_last_avg_error, builtin_last_avg_error)
assert np.allclose(my_avg_error, builtin_avg_error)
def test_universal():
np.random.seed(98052)
builtin_sgd = lambda params: sgd(params, lr=learning_rate_schedule(0.125, UnitType.minibatch))
builtin_last_avg_error, builtin_avg_error, _ = ffnet(builtin_sgd)
np.random.seed(98052)
my_sgd = lambda ps, gs: C.combine([C.assign(p, p - 0.125/25 * g) for p, g in zip(ps, gs)])
universal_sgd = lambda params: universal(my_sgd, params)
my_last_avg_error, my_avg_error, _ = ffnet(universal_sgd)
assert np.all(np.less_equal(my_last_avg_error, builtin_last_avg_error))
assert np.all(np.less_equal(my_avg_error, builtin_avg_error))