def get_config(self):
config = {<EOL>'<STR_LIT>': self._event_shape,<EOL>'<STR_LIT>': _serialize(self._convert_to_tensor_fn),<EOL>'<STR_LIT>': self._validate_args<EOL>}<EOL>base_config = super(IndependentPoisson, self).get_config()<EOL>return dict(list(base_config.items()) + list(config.items()))<EOL>
Returns the config of this layer.

        NOTE: At the moment, this configuration can only be serialized if the
        Layer's `convert_to_tensor_fn` is a serializable Keras object (i.e.,
        implements `get_config`) or one of the standard values:
         - `Distribution.sample` (or `"sample"`)
         - `Distribution.mean` (or `"mean"`)
         - `Distribution.mode` (or `"mode"`)
         - `Distribution.stddev` (or `"stddev"`)
         - `Distribution.variance` (or `"variance"`)