I used shap to interpret my cnn model like this:

explainer = shap.DeepExplainer(model=model, data = X_train[0:10])
shap_values = explainer.shap_values(X_test[0:10])

When shap tries to get the output shape in its internal function, you get this error

AttributeError
Traceback (most recent call last)

<ipython-input-9-5d9f53dcf3ce> in <cell line: 1>()
----> 1 explainer = shap.DeepExplainer(model=model, data = X_train[0:10])
      2 shap_values = explainer.shap_values(X_test[0:10])
1 frames
/usr/local/lib/python3.10/dist-packages/shap/explainers/_deep/deep_tf.
py in __init__(self, model, data, 
session, learning_phase_flags)


    170             self.phi_symbolics = [None]


    171         else:


--> 172             noutputs = self.model_output.shape.as_list()[1]


    173             if noutputs is not None:


    174                 self.phi_symbolics = [None for i in range(noutputs)]




AttributeError: 'tuple' object has no attribute 'as_list'

I guess it’s because of the tensorflow version, how can I fix this error?

my package versions:

tensorflow==2.16.1
shap==0.45.1

I tried to load my trained model (model.keras) with tensorflow==2.15.0 version to solve this problem, but I got an error.