# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
"""Trainer for U2 model."""
import cProfile
import os

from paddle import distributed as dist
from yacs.config import CfgNode

from paddlespeech.s2t.exps.u2.model import U2Trainer as Trainer
from paddlespeech.s2t.training.cli import default_argument_parser
from paddlespeech.s2t.utils.utility import print_arguments

# from paddlespeech.s2t.exps.u2.trainer import U2Trainer as Trainer


def main_sp(config, args):
    exp = Trainer(config, args)
    exp.setup()
    exp.run()


def main(config, args):
    if args.ngpu > 1:
        dist.spawn(main_sp, args=(config, args), nprocs=args.ngpu)
    else:
        main_sp(config, args)


if __name__ == "__main__":
    parser = default_argument_parser()
    args = parser.parse_args()
    print_arguments(args, globals())

    # https://yaml.org/type/float.html
    config = CfgNode(new_allowed=True)
    if args.config:
        config.merge_from_file(args.config)
    if args.opts:
        config.merge_from_list(args.opts)
    config.freeze()
    print(config)
    if args.dump_config:
        with open(args.dump_config, 'w') as f:
            print(config, file=f)

    # Setting for profiling
    pr = cProfile.Profile()
    pr.runcall(main, config, args)
    pr.dump_stats(os.path.join(args.output, 'train.profile'))