code: def transformer_wikitext103_l16k_memory_v0():
    
    hparams = transformer_wikitext103_l4k_memory_v0()
  
    hparams.max_length = 16384
    hparams.split_targets_chunk_length = 64
    hparams.split_targets_max_chunks = int(
        hparams.max_length / hparams.split_targets_chunk_length)
  
    # The hparams specify batch size *before* chunking, but we want to have a
    # consistent 4K batch size *after* chunking to fully utilize the hardware.
    target_tokens_per_batch = 4096
    hparams.batch_size = int(target_tokens_per_batch * (
        hparams.max_length / hparams.split_targets_chunk_length))
  
    hparams.max_relative_position = 2 * hparams.split_targets_chunk_length
  
    return hparams
docs: HParams for training languagemodel_wikitext103_l16k with memory.