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- #!/usr/bin/env python
- # -*- coding: utf-8 -*-
- # Python version: 3.6
- import argparse
- def args_parser():
- parser = argparse.ArgumentParser()
- # federated arguments (Notation for the arguments followed from paper)
- parser.add_argument('--epochs', type=int, default=10,
- help="number of 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('--num_channels', type=int, default=1, help="number of channels of imgs")
- 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 mini-imagenet, 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('--num_classes', type=int, default=10, help="number of classes")
- parser.add_argument('--gpu', type=int, default=1, help="GPU ID")
- 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='whether to use unequal data splits for non-i.i.d setting (use 0 for equal splits)')
- parser.add_argument('--stopping_rounds', type=int, default=10, help='rounds of early stopping')
- parser.add_argument('--verbose', type=int, default=1, help='verbose')
- parser.add_argument('--seed', type=int, default=1, help='random seed (default: 1)')
- args = parser.parse_args()
- return args
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