Null valued output and not saving variable?

[jaschil2]

I have the following code:

with DeepExplain(session=K.get_session()) as de:
    model_path = os.path.join(os.getcwd(),'N58_1','FOLD_00','model_E099_0.897.hdf5')
    model = load_model(model_path)
    flat = Reshape(target_shape=(256*256,))(model.layers[-1].output)
    flat_model = Model(model.layers[0].input,flat)

    input_tensor = flat_model.layers[0].input
    target_tensor = flat_model(input_tensor)
    
    xs = images[0][np.newaxis,...]
    ys = np.zeros(256**2)
    ys = ys[np.newaxis,...]
    ys[0,15678] = 1

    attributions_oc = de.explain('occlusion',target_tensor,input_tensor,xs,window_shape=(32,32,1),step=16)

Basically, I have an encoder-decoder neural network and I want to see if I can determine feature importances for particular output pixels. However, when I run this code,

• The output is all zero (I tried plotting it in the session context)
• And attributions_oc does not appear to exist. That is, it is not accessible in my jupyter notebook.

Yet, I have no errors. I am wondering what I am doing wrong?