History

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tests	…
BUILD	…
README.md	…
__init__.py	…
adabelief.py	…
average_wrapper.py	…
cocob.py	…
conditional_gradient.py	…
constants.py	…
cyclical_learning_rate.py	…
discriminative_layer_training.py	…
lamb.py	…
lazy_adam.py	…
lookahead.py	…
moving_average.py	…
novograd.py	…
proximal_adagrad.py	…
rectified_adam.py	…
stochastic_weight_averaging.py	…
utils.py	…
weight_decay_optimizers.py	…
yogi.py	…

Addons - Optimizers

Components

In order to conform with the current API standard, all optimizers must:

Inherit from either keras.optimizer_v2.OptimizerV2 or its subclasses.
Register as a keras global object so it can be serialized properly: @tf.keras.utils.register_keras_serializable(package='Addons')

To run your tf.functions in eager mode and graph mode in the tests, you can use the @pytest.mark.usefixtures("maybe_run_functions_eagerly") decorator. This will run the tests twice, once normally, and once with tf.config.run_functions_eagerly(True).