code: def imagetransformer2d_base_8l_8_32_big():
    
    hparams = image_transformer2d_base()
    hparams.num_heads = 16
    hparams.hidden_size = 1024
    hparams.filter_size = 2048
    hparams.num_decoder_layers = 8
    hparams.batch_size = 1
    hparams.layer_prepostprocess_dropout = 0.3
    hparams.query_shape = (8, 16)
    hparams.memory_flange = (0, 32)
    hparams.unconditional = int(False)
    return hparams
docs: hparams fo 8 layer big 2d model for cifar 10.