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4 changes: 2 additions & 2 deletions bayesflow/approximators/continuous_approximator.py
Original file line number Diff line number Diff line change
Expand Up @@ -570,11 +570,11 @@ def summarize(self, data: Mapping[str, np.ndarray], **kwargs) -> np.ndarray:
if self.summary_network is None:
raise ValueError("A summary network is required to compute summaries.")

data_adapted = self.adapter(data, strict=False, **kwargs)
data_adapted = self._prepare_data(data, **kwargs)
if "summary_variables" not in data_adapted or data_adapted["summary_variables"] is None:
raise ValueError("Summary variables are required to compute summaries.")

summary_variables = keras.tree.map_structure(keras.ops.convert_to_tensor, data_adapted["summary_variables"])
summary_variables = data_adapted["summary_variables"]
summaries = self.summary_network(summary_variables, **filter_kwargs(kwargs, self.summary_network.call))
summaries = keras.ops.convert_to_numpy(summaries)

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4 changes: 4 additions & 0 deletions bayesflow/approximators/model_comparison_approximator.py
Original file line number Diff line number Diff line change
Expand Up @@ -433,6 +433,10 @@ def summarize(self, data: Mapping[str, np.ndarray], **kwargs) -> np.ndarray:
raise ValueError("Summary variables are required to compute summaries.")

summary_variables = keras.tree.map_structure(keras.ops.convert_to_tensor, data_adapted["summary_variables"])

if "summary_variables" in self.standardize:
summary_variables = self.standardize_layers["summary_variables"](summary_variables)

summaries = self.summary_network(summary_variables, **filter_kwargs(kwargs, self.summary_network.call))
summaries = keras.ops.convert_to_numpy(summaries)

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