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# Copyright 2016 The BigDL Authors.
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# This file is copied from
# https://github.com/mit-han-lab/streaming-llm/blob/main/streaming_llm/enable_streaming_llm.py
# which is licensed under the MIT license:
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from .kv_cache import StartRecentKVCache


def enable_streaming_llm(model, start_size, recent_size):
    if "llama" in model.config.model_type:
        k_seq_dim = v_seq_dim = 2
        from .modify_llama import (
            enable_llama_pos_shift_attention,
        )

        enable_llama_pos_shift_attention(model)
    elif "mpt" in model.config.model_type:
        v_seq_dim = 2
        k_seq_dim = 3
    elif "gpt_neox" in model.config.model_type:
        k_seq_dim = v_seq_dim = 2
        from .modify_gpt_neox import (
            enable_gpt_neox_pos_shift_attention,
        )

        enable_gpt_neox_pos_shift_attention(model)
    elif "falcon" in model.config.model_type:
        v_seq_dim = 1
        k_seq_dim = 1
        from .modify_falcon import (
            enable_falcon_pos_shift_attention,
        )

        enable_falcon_pos_shift_attention(model)
    else:
        raise ValueError(f"got {model.config.model_type}")
    kv_cache = StartRecentKVCache(
        start_size=start_size,
        recent_size=recent_size,
        k_seq_dim=k_seq_dim,
        v_seq_dim=v_seq_dim,
    )
    return kv_cache
