code: def imagetransformer_sep_channels_12l_16h_imagenet_large():
    
    hparams = imagetransformer_sep_channels_8l_8h()
    hparams.num_hidden_layers = 12
    hparams.batch_size = 1
    hparams.filter_size = 2048
    hparams.num_heads = 16
    hparams.learning_rate_warmup_steps = 16000
    hparams.sampling_method = "random"
    hparams.learning_rate = 0.1
    return hparams
docs: separate rgb embeddings.