aDPtorch/Federated_Avg/options.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6

import argparse


def args_parser():
    parser = argparse.ArgumentParser()
    # federated arguments
    parser.add_argument('--epochs', type=int, default=10, help="rounds of training")
    parser.add_argument('--num_users', type=int, default=100, help="number of users: K")
    parser.add_argument('--frac', type=float, default=0.1, help='the fraction of clients: C')
    parser.add_argument('--local_ep', type=int, default=5, help="the number of local epochs: E")
    parser.add_argument('--local_bs', type=int, default=10, help="local batch size: B")
    parser.add_argument('--lr', type=float, default=0.01, help='learning rate')
    parser.add_argument('--momentum', type=float, default=0.5, help='SGD momentum (default: 0.5)')

    # model arguments
    parser.add_argument('--model', type=str, default='mlp', help='model name')
    parser.add_argument('--kernel_num', type=int, default=9, help='number of each kind of kernel')
    parser.add_argument('--kernel_sizes', type=str, default='3,4,5',
                        help='comma-separated kernel size to use for convolution')
    parser.add_argument('--norm', type=str, default='batch_norm',
                        help="batch_norm, layer_norm, or None")
    parser.add_argument('--num_filters', type=int, default=32,
                        help="number of filters for conv nets -- 32 for miniimagenet, 64 for omiglot.")
    parser.add_argument('--max_pool', type=str, default='True',
                        help="Whether use max pooling rather than strided convolutions")

    # other arguments
    parser.add_argument('--dataset', type=str, default='mnist', help="name of dataset")
    parser.add_argument('--iid', type=int, default=0,
                        help='whether i.i.d or not, 1 for iid, 0 for non-iid')
    parser.add_argument('--unequal', type=int, default=0,
                        help='in non-i.i.d, whether data split among clients is equal or not, 1 for unequal split')
    parser.add_argument('--num_classes', type=int, default=10, help="number of classes")
    parser.add_argument('--num_channels', type=int, default=1, help="number of channels of imgs")
    parser.add_argument('--gpu', type=int, default=1, help="GPU ID")
    parser.add_argument('--stopping_rounds', type=int, default=10, help='rounds of early stopping')
    parser.add_argument('--verbose', type=int, default=1,
                        help='verbose print, 1 for True, 0 for False')
    parser.add_argument('--seed', type=int, default=1, help='random seed (default: 1)')
    args = parser.parse_args()
    return args