ea93013082ecd0bd2835573403c7d65f69d81cd8,thinc/tests/test_config.py,,test_objects_from_config,#,465

Before Change

    def decaying(base_rate: float, repeat: int) -> List[float]:
        return repeat * [base_rate]

    config = Config().from_str(TEST_CONFIG)
    loaded = registry.make_from_config(config)
    optimizer = loaded["optimizer"]
    assert optimizer.b1 == 0.2
    assert optimizer.learn_rate == [0.001, 0.001, 0.001, 0.001]

After Change

def test_objects_from_config():
    config = {
        "optimizer": {
            "@optimizers": "my_cool_optimizer.v1",
            "beta1": 0.2,
            "learn_rate": {
                "@schedules": "my_cool_repetitive_schedule.v1",
                "base_rate": 0.001,
                "repeat": 4,
            },
        }
    }

    @thinc.registry.optimizers.register("my_cool_optimizer.v1")
    def make_my_optimizer(learn_rate: List[float], beta1: float):
        return RAdam(learn_rate, beta1=beta1)

Instances