DeepLearningExamples/MxNet/Classification/RN50v1.5/train.py

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import argparse

import dllogger
import horovod.mxnet as hvd

import dali
import data
import fit
import models
from log_utils import setup_logging


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()


if __name__ == '__main__':
    args = parse_args()
    if 'horovod' in args.kv_store:
        hvd.init()

    setup_logging(args)
    dllogger.log(step='PARAMETER', data=vars(args))

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

    fit.fit(args, model, data_loader)