reset the neural network model after each iteration of a for loop in Tensorflow

Question

I am calculating the power consumption of several neural networks in a for loop, hence in order to get the accurate power consumption I need to reset the model after each iteration of the loop. could you please let me know whether there is a solution in Python or Tensorflow to start the training process over again somehow the model will be reloaded like the first iteration of the for-loop.