so_run.py

import os, sys
import GPUtil

import torch
import torch.nn as nn
import torch.optim as optim
import torch.backends.cudnn as cudnn
from dataset.dataset import *  # init_dataset
from model.model_builder import init_model
from model import *
from init_config import *
from easydict import EasyDict as edict
import sys
from trainer.source_only_trainer import Trainer
import trainer
import time, datetime
import copy
import numpy as np 
import random


def main():
    torch.manual_seed(1234)
    torch.cuda.manual_seed(1234)
    np.random.seed(1234)
    random.seed(1234)
    cudnn.enabled = True
    cudnn.benchmark = True
#    torch.backends.cudnn.deterministic = True

    config, writer = init_config("config/so_config.yml", sys.argv)

    if config.source=='synthia':
        config.num_classes=16
    else:
        config.num_classes=19

    model = init_model(config)


    trainer = Trainer(model, config, writer)

    trainer.train()


if __name__ == "__main__":
    start = datetime.datetime(2020, 1, 22, 23, 00, 0)
    print("wait")
    while datetime.datetime.now() < start:
        time.sleep(1)
    main()