train.py

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import argparse
import os
from importlib.machinery import SourceFileLoader

from models.att import relu, norelu
from models.att_multi import m_relu, m_norelu, m_norelu_not, m_norelu_sa_mult_out, m_relu5, m_norelu_ae_mult_out

parser = argparse.ArgumentParser()
parser.add_argument('-c', '--config', type=str, required=True, help='config file')
parser.add_argument('-g', '--gpu', type=int, default=0, help='gpu number')
args = parser.parse_args()

cf = SourceFileLoader('config', args.config).load_module()
os.environ["CUDA_VISIBLE_DEVICES"] = str(args.gpu)

if not cf.multi_model:
    if cf.model == 'relu':
        model = relu.CrossIntraModel(cf)
    elif cf.model == 'norelu':
        model = norelu.CrossIntraModel(cf)
    else:
        raise ValueError('Invalid model')
else:
    if cf.model == 'relu':
        model = m_relu.CrossIntraModel(cf)
    elif cf.model == 'relu5':
        model = m_relu5.CrossIntraModel(cf)
    elif cf.model == 'norelu':
        model = m_norelu.CrossIntraModel(cf)
    elif cf.model == 'norelu_not':
        model = m_norelu_not.CrossIntraModel(cf)
    elif cf.model == 'norelu_sa_mult_out':
        model = m_norelu_sa_mult_out.CrossIntraModel(cf)
    elif cf.model == 'norelu_ae_mult_out':
        model = m_norelu_ae_mult_out.CrossIntraModel(cf)
    else:
        raise ValueError('Invalid model')

model.train()