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# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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import os
import sys
import argparse
import logging
import mxnet as mx
import numpy as np

import data, dali
import fit
import models

def parse_args():
    parser = argparse.ArgumentParser(description="Train classification models on ImageNet",
                                     formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    models.add_model_args(parser)
    fit.add_fit_args(parser)
    data.add_data_args(parser)
    dali.add_dali_args(parser)
    data.add_data_aug_args(parser)
    return parser.parse_args()

def setup_logging(args):
    head = '{asctime}:{levelname}: {message}'
    logging.basicConfig(level=logging.DEBUG, format=head, style='{',
                        handlers=[logging.StreamHandler(sys.stderr), logging.FileHandler(args.log)])
    logging.info('Start with arguments {}'.format(args))

if __name__ == '__main__':
    args = parse_args()
    setup_logging(args)

    model = models.get_model(**vars(args))
    data_loader = data.get_data_loader(args)

    fit.fit(args, model, data_loader)