def _create_analysis(self, model, stop_analysis_at_tensors=[]):
tensors_to_analyze = [x for x in iutils.to_list(model.inputs)
if x not in stop_analysis_at_tensors]
gradients = iutils.to_list(ilayers.Gradient()(
tensors_to_analyze+[model.outputs[0]]))
return [keras.layers.Multiply()([i, g])
for i, g in zip(tensors_to_analyze, gradients)]
def _create_analysis(self, model):
gradients = iutils.to_list(ilayers.Gradient()(model.inputs + [
model.outputs[0],
]))
return [
keras.layers.Multiply()([i, g])
for i, g in zip(model.inputs, gradients)
]
def _create_analysis(self, model, stop_analysis_at_tensors=None):
if stop_analysis_at_tensors is None:
stop_analysis_at_tensors = []
tensors_to_analyze = [
x for x in iutils.to_list(model.inputs)
if x not in stop_analysis_at_tensors
]
ret = iutils.to_list(ilayers.Gradient()(tensors_to_analyze +
[model.outputs[0]]))
if self._postprocess == "abs":
ret = ilayers.Abs()(ret)
elif self._postprocess == "square":
ret = ilayers.Square()(ret)
return iutils.to_list(ret)
