# parser = argparse.ArgumentParser(description='Chainer example: MNIST') # parser.add_argument('--batchsize', '-b', type=int, default=100, # help='Number of images in each mini-batch') # parser.add_argument('--epoch', '-e', type=int, default=20, # help='Number of sweeps over the dataset to train') # parser.add_argument('--gpu', '-g', type=int, default=-1, # help='GPU ID (negative value indicates C