28     def get_shapes(params):  argument
30 …shapes["input_tensor_1"] = (params["batch_1"], params["height_1"], params["width_1"], params["chan…
31 …shapes["input_tensor_2"] = (params["batch_2"], params["height_2"], params["width_2"], params["chan…
32 …shapes["representational_dataset"] = (params["batch_1"], params["height_1"], params["width_1"], pa…
33 …shapes["representational_dataset2"] = (params["batch_2"], params["height_2"], params["width_2"], p…
38     def generate_keras_model(shapes, params):  argument
41         if params['layer_type'] == "minimum":
43         elif params['layer_type'] == "maximum":
46 …    input_1_shape = (params["batch_1"], params["height_1"], params["width_1"], params["channel_1"])
47 …    input_2_shape = (params["batch_2"], params["height_2"], params["width_2"], params["channel_2"])
56     def generate_data_tflite(tflite_fname, params):  argument
81         minval = Lib.op_utils.get_dtype_min(params["input_data_type"])
82         maxval = Lib.op_utils.get_dtype_max(params["input_data_type"])