Can't load model created by tf-keras

[Sundragon1993]

Hi, first of all, Thank you so much for the valuable contribution to the community,

I was wondering if there was a simple way to load a model created by tf-keras using your tool? I've tried to modify your tool to accept the tf-keras model, although my model was successfully loaded and displayed, when I make a prediction by clicking the Inspection then selecting layer and Grad-CAM, this error will appear:

tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable conv2d_5/kernel from Container: localhost. This could mean that the variable was uninitialized. Not found: Container localhost does not exist. (Could not find resource: localhost/conv2d_5/kernel)
     [[{{node conv2d_5/Conv2D/ReadVariableOp}} = ReadVariableOp[dtype=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_5/kernel)]]

After fixing this issue by adding session and default graph, I was able to pass this error, however another error will arrive:
ValueError: Tensor Tensor("conv2d_11/BiasAdd:0", shape=(?, 544, 960, 2), dtype=float32) is not an element of this graph.
caused by this line:
compute_output_function = K.function(inputs=[model.native_model.input], outputs=[target_layer_output])

Do you have any idea how to overcome this kind of problem or plan to upgrade your tool in the future?
Once again, thank you for your time and consideration!

[Max-ChenFei]

Sorry, we only support Keras, not tf-keras.