Make sparsemax deserializable #441
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Think it's a great idea that we test all |
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The order of decorators do matter! If we put
@tf.functionouter, then the function after deserialization will not be the same with the original one (before:tf.function, deserialize: python function).Also, I think serialization/deserialization is also one of the features in keras. Maybe we have to make sure all subclasses from
tf.keras.*could be serialized/de-serialized and be well tested.