Hyperparams

parser = argparse.ArgumentParser(description='PyTorch MNIST Example')
parser.add_argument('--batch-size',      type=int,            default=64,   metavar='N',  help='input batch size for training (default: 64)')
parser.add_argument('--test-batch-size', type=int,            default=1000, metavar='N',  help='input batch size for testing (default: 1000)')
parser.add_argument('--epochs',          type=int,            default=14,   metavar='N',  help='number of epochs to train (default: 14)')
parser.add_argument('--lr',              type=float,          default=1.0,  metavar='LR', help='learning rate (default: 1.0)')
parser.add_argument('--gamma',           type=float,          default=0.7,  metavar='M',  help='Learning rate step gamma (default: 0.7)')
parser.add_argument('--seed',            type=int,            default=1,    metavar='S',  help='random seed (default: 1)')
parser.add_argument('--log-interval',    type=int,            default=10,   metavar='N',  help='how many batches to wait before logging training status')
parser.add_argument('--save-model',      action='store_true', help='For Saving the current Model')
parser.add_argument('--no-accel',        action='store_true', help='disables accelerator')
parser.add_argument('--dry-run',         action='store_true', help='quickly check a single pass')

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