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options.py
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options.py
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from argparse import ArgumentParser
from losses import get_available_losses
def add_general_args(parser):
group = parser.add_argument_group("General options")
group.add_argument("--dataset", choices=["de-en", "en-fr", "fr-en"], required=True)
group.add_argument(
"--token-type", choices=["word", "bpe", "word_bpe"], required=True
)
group.add_argument("--loss", choices=get_available_losses(), required=True)
group.add_argument("--batch-size", default=64, type=int)
group.add_argument("--num-epoch", default=15, type=int)
group.add_argument("--emb-type", choices=["w2v", "fasttext"], required=False)
group.add_argument("--emb-dir", default=".", type=str)
group.add_argument("--device-id", default=0, type=int)
group.add_argument("--reg_1", default=0, type=float)
group.add_argument("--reg_2", default=1, type=float)
group.add_argument("--tied", action="store_true")
def add_training_args(parser):
group = parser.add_argument_group("Training options")
group.add_argument("--lr", default=0.0002, type=float)
def add_evaluation_args(parser):
group = parser.add_argument_group("Evaluation options")
group.add_argument("--eval-checkpoint", default="best", type=str)
def create_training_parser():
parser = ArgumentParser()
add_general_args(parser)
add_training_args(parser)
return parser
def create_evaluation_parser():
parser = ArgumentParser()
add_general_args(parser)
add_evaluation_args(parser)
return parser