class Config(object):
    # DATA
    batch_size = 256
    buffer_size = batch_size * 2
    input_shape = (32, 32, 3)
    num_classes = 10

    # AUGMENTATION
    image_size = 48

    # ARCHITECTURE
    patch_size = 4
    projected_dim = 96
    num_shift_blocks_per_stages = [2, 4, 8, 2]
    epsilon = 1e-5
    stochastic_depth_rate = 0.2
    mlp_dropout_rate = 0.2
    num_div = 12
    shift_pixel = 1
    mlp_expand_ratio = 2

    # OPTIMIZER
    lr_start = 1e-5
    lr_max = 1e-3
    weight_decay = 1e-4

    # TRAINING
    epochs = 100


class_vocab={0:"airplane",1:"automobile",2:"bird",3:"cat",4:"deer",5:"dog",6:"frog",7:"horse",8:"ship", 9:"truck"}