# Copyright (c) 2020 Mobvoi Inc. (authors: Binbin Zhang, Di Wu)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from __future__ import print_function

import argparse
import os

import torch
import yaml

from kws.model.kws_model import init_model
from kws.utils.checkpoint import load_checkpoint


def get_args():
    parser = argparse.ArgumentParser(description='export your script model')
    parser.add_argument('--config', required=True, help='config file')
    parser.add_argument('--checkpoint', required=True, help='checkpoint model')
    parser.add_argument('--jit_model', required=True, help='output jit model')
    args = parser.parse_args()
    return args


def main():
    args = get_args()
    # No need gpu for model export
    os.environ['CUDA_VISIBLE_DEVICES'] = '-1'

    with open(args.config, 'r') as fin:
        configs = yaml.load(fin, Loader=yaml.FullLoader)
    model = init_model(configs['model'])
    print(model)

    load_checkpoint(model, args.checkpoint)
    # Export jit torch script model

    script_model = torch.jit.script(model)
    script_model.save(args.jit_model)
    print('Export model successfully, see {}'.format(args.jit_model))


if __name__ == '__main__':
    main()