35999e65a83c8b9f67b833623a5b9ce47af7cc71,luminoth/utils/training.py,,get_learning_rate,#Any#Any#,16

Before Change

        learning_rate = tf.train.piecewise_constant(
            global_step, boundaries=[
                tf.cast(train_config.learning_rate_decay, tf.int64), ],
            values=[
                train_config.initial_learning_rate,
                train_config.initial_learning_rate * 0.1
            ], name="learning_rate_piecewise_constant"
        )

    elif method == "exponential_decay":

After Change

        ValueError: When the method used is not available.
    
    lr_config = train_config.learning_rate.copy()
    decay_method = lr_config.pop("decay_method", None)

    if not decay_method or decay_method == "none":
        return lr_config.get("value") or lr_config.get("learning_rate")

Instances