import argparse | |
import random | |
from tester import DiacritizationTester | |
import numpy as np | |
import torch | |
SEED = 1234 | |
random.seed(SEED) | |
np.random.seed(SEED) | |
torch.manual_seed(SEED) | |
torch.cuda.manual_seed(SEED) | |
torch.backends.cudnn.deterministic = True | |
torch.backends.cudnn.benchmark = False | |
def train_parser(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--model", dest="model_kind", type=str, required=True) | |
parser.add_argument("--config", dest="config", type=str, required=True) | |
parser.add_argument("--model_path", dest="model_path", type=str, required=False) | |
parser.add_argument("--test", dest="test", type=bool) | |
return parser | |
parser = train_parser() | |
args = parser.parse_args() | |
tester = DiacritizationTester(args.config, args.model_kind) | |
tester.run() | |