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Fix small bug in deeplift wrapper #181

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Fix small bug in deeplift wrapper #181

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14 changes: 7 additions & 7 deletions innvestigate/analyzer/deeplift.py
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Original file line number Diff line number Diff line change
Expand Up @@ -303,7 +303,7 @@ def _create_deep_lift_func(self):

with tempfile.NamedTemporaryFile(suffix=".hdf5") as f:
self._model.save(f.name)
deeplift_model = kc.convert_model_from_saved_files(
self._deeplift_model = kc.convert_model_from_saved_files(
f.name, nonlinear_mxts_mode=nonlinear_mxts_mode,
verbose=self._verbose)

Expand All @@ -316,18 +316,18 @@ def fix_name(s):
raise ValueError("Only a single output layer is supported.")
tmp = self._model.outputs[0]._keras_history
target_layer_name = fix_name(tmp[0].name+"_%i" % tmp[1])
self._func = deeplift_model.get_target_contribs_func(
self._deep_lift_func = self._deeplift_model.get_target_contribs_func(
find_scores_layer_name=score_layer_names,
pre_activation_target_layer_name=target_layer_name)
self._references = kutils.broadcast_np_tensors_to_keras_tensors(
self._model.inputs, self._reference_inputs)

def _analyze_with_deeplift(self, X, neuron_idx, batch_size):
return self._func(task_idx=neuron_idx,
input_data_list=X,
batch_size=batch_size,
input_references_list=self._references,
progress_update=1000000)
return self._deep_lift_func(task_idx=neuron_idx,
input_data_list=X,
batch_size=batch_size,
input_references_list=self._references,
progress_update=1000000)

def analyze(self, X, neuron_selection=None):
if not hasattr(self, "_deep_lift_func"):
Expand Down