How can I test a .tflite model to prove that it behaves as the original model using the same Test Data?

Question

I have generated a .tflite model based on a trained model, I would like to test that the tfilte model gives the same results as the original model.

Giving both the s

Answer 1

In addition to the answer given by @miaout17, to debug / understand your tflite model (which is the spirit of the question), you can

• use --dump_graphviz to visualize the graph as explained here https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md#using---dump_graphviz
• use flatc to generate a python api and then parse the model via that api https://google.github.io/flatbuffers/flatbuffers_guide_use_python.html
• generate json from the tflite file using flatc and print it out
• Use the tflite visualizer: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/tools/visualize.py (currently has a bug)