Trained CNN model partitioning into two networks

Hello all,

I have fine-tuned a pretrained CNN and created a system for a definite classification problem (this system is a bit complex).

I want to apply Mobile Cloud Computing (MCC). I want to divide the computation between the user's end-device and the Cloud because I don't want to send the captured image to the Cloud and I want to reduce the computational workload of the smartphone.

I want to create two separate sub-models from a single trained CNN model. So the first model will take as an input the captured image and give as output intermediate features (End-device) and the next model will take these features as input and give the final class prediction as output (Cloud side). Thus, trained CNN = model1 + model2.

Suppose the trained CNN is mobilenetv2 and it is saved as DAGnetwork after training -> 'net'. How can split 'net' into two sub-networks that can be used for the explained purpose ? I tried to customize my trained 'net' in Deep Network Designer but the model is saved as lgraph which cannot be properly used later on.

Appreciate any king of help !!! Thank you in advance