# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.

#

# 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.

import os

import sys

cur_path = os.path.abspath(os.path.dirname(__file__))

root_path = os.path.split(cur_path)[0]

sys.path.append(root_path)

from ppgan.utils.options import parse_args

from ppgan.utils.config import get_config

from ppgan.utils.setup import setup

from ppgan.engine.trainer import Trainer

def main(args, cfg):

# init environment, include logger, dynamic graph, seed, device, train or test mode...

setup(args, cfg)

# build trainer

trainer = Trainer(cfg)

# continue train or evaluate, checkpoint need contain epoch and optimizer info

if args.resume:

trainer.resume(args.resume)

# evaluate or finute, only load generator weights

elif args.load:

trainer.load(args.load)

if args.evaluate_only:

trainer.test()

return

# training, when keyboard interrupt save weights

try:

trainer.train()

except KeyboardInterrupt as e:

trainer.save(trainer.current_epoch)

trainer.close()

if __name__ == '__main__':

args = parse_args()

cfg = get_config(args.config_file)

main(args, cfg)