reagent/net_builder/continuous_actor/fully_connected.py [27:49]:
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    def __post_init_post_parse__(self):
        super().__init__()
        assert len(self.sizes) == len(self.activations), (
            f"Must have the same numbers of sizes and activations; got: "
            f"{self.sizes}, {self.activations}"
        )

    @property
    def default_action_preprocessing(self) -> str:
        return CONTINUOUS_ACTION

    def build_actor(
        self,
        state_feature_config: rlt.ModelFeatureConfig,
        state_normalization_data: NormalizationData,
        action_normalization_data: NormalizationData,
    ) -> ModelBase:
        state_dim = get_num_output_features(
            state_normalization_data.dense_normalization_parameters
        )
        action_dim = get_num_output_features(
            action_normalization_data.dense_normalization_parameters
        )
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reagent/net_builder/continuous_actor/gaussian_fully_connected.py [28:50]:
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    def __post_init_post_parse__(self):
        super().__init__()
        assert len(self.sizes) == len(self.activations), (
            f"Must have the same numbers of sizes and activations; got: "
            f"{self.sizes}, {self.activations}"
        )

    @property
    def default_action_preprocessing(self) -> str:
        return CONTINUOUS_ACTION

    def build_actor(
        self,
        state_feature_config: rlt.ModelFeatureConfig,
        state_normalization_data: NormalizationData,
        action_normalization_data: NormalizationData,
    ) -> ModelBase:
        state_dim = get_num_output_features(
            state_normalization_data.dense_normalization_parameters
        )
        action_dim = get_num_output_features(
            action_normalization_data.dense_normalization_parameters
        )
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