How to use the tensorflowjs.converters.tf_saved_model_conversion_v2.convert_tf_saved_model function in tensorflowjs

elif (input_format == common.KERAS_MODEL and
        output_format == common.TFJS_GRAPH_MODEL):
    dispatch_keras_h5_to_tfjs_graph_model_conversion(
        args.input_path, output_dir=args.output_path,
        quantization_dtype=quantization_dtype,
        skip_op_check=args.skip_op_check,
        strip_debug_ops=args.strip_debug_ops)
  elif (input_format == common.KERAS_SAVED_MODEL and
        output_format == common.TFJS_LAYERS_MODEL):
    dispatch_keras_saved_model_to_tensorflowjs_conversion(
        args.input_path, args.output_path,
        quantization_dtype=quantization_dtype,
        split_weights_by_layer=args.split_weights_by_layer)
  elif (input_format == common.TF_SAVED_MODEL and
        output_format == common.TFJS_GRAPH_MODEL):
    tf_saved_model_conversion_v2.convert_tf_saved_model(
        args.input_path, args.output_path,
        signature_def=args.signature_name,
        saved_model_tags=args.saved_model_tags,
        quantization_dtype=quantization_dtype,
        skip_op_check=args.skip_op_check,
        strip_debug_ops=args.strip_debug_ops)
  elif (input_format == common.TF_HUB_MODEL and
        output_format == common.TFJS_GRAPH_MODEL):
    tf_saved_model_conversion_v2.convert_tf_hub_module(
        args.input_path, args.output_path, args.signature_name,
        args.saved_model_tags, skip_op_check=args.skip_op_check,
        strip_debug_ops=args.strip_debug_ops)
  elif (input_format == common.TFJS_LAYERS_MODEL and
        output_format == common.KERAS_MODEL):
    dispatch_tensorflowjs_to_keras_h5_conversion(args.input_path,
                                                 args.output_path)

elif (input_format == common.KERAS_MODEL and
        output_format == common.TFJS_GRAPH_MODEL):
    dispatch_keras_h5_to_tfjs_graph_model_conversion(
        args.input_path, output_dir=args.output_path,
        quantization_dtype=quantization_dtype,
        skip_op_check=args.skip_op_check,
        strip_debug_ops=args.strip_debug_ops)
  elif (input_format == common.KERAS_SAVED_MODEL and
        output_format == common.TFJS_LAYERS_MODEL):
    dispatch_keras_saved_model_to_tensorflowjs_conversion(
        args.input_path, args.output_path,
        quantization_dtype=quantization_dtype,
        split_weights_by_layer=args.split_weights_by_layer)
  elif (input_format == common.TF_SAVED_MODEL and
        output_format == common.TFJS_GRAPH_MODEL):
    tf_saved_model_conversion_v2.convert_tf_saved_model(
        args.input_path, args.output_path,
        signature_def=args.signature_name,
        saved_model_tags=args.saved_model_tags,
        quantization_dtype=quantization_dtype,
        skip_op_check=args.skip_op_check,
        strip_debug_ops=args.strip_debug_ops)
  elif (input_format == common.TF_HUB_MODEL and
        output_format == common.TFJS_GRAPH_MODEL):
    tf_saved_model_conversion_v2.convert_tf_hub_module(
        args.input_path, args.output_path, args.signature_name,
        args.saved_model_tags, skip_op_check=args.skip_op_check,
        strip_debug_ops=args.strip_debug_ops)
  elif (input_format == common.TFJS_LAYERS_MODEL and
        output_format == common.KERAS_MODEL):
    dispatch_tensorflowjs_to_keras_h5_conversion(args.input_path,
                                                 args.output_path)