problems during inference when using converted tflite model about tensorflow-2.x-yolov3 HOT 1 OPEN

batch_size = 1
model = Load_Yolo_model()
model.save("./yolo_model")
input_shape = model.inputs[0].shape.as_list()
input_shape[0] = batch_size
func = tf.function(model).get_concrete_function(tf.TensorSpec(input_shape, model.inputs[0].dtype))
model_converter = tf.lite.TFLiteConverter.from_concrete_functions([func])
model_lite = model_converter.convert()
f = open(f"./yolo_model.tflite", "wb")
f.write(model_lite)
f.close()