model: M3: Move MSA into a new memory implementation (#26338)
* Move MSA logic from llama-kv-cache into llama-kv-cache-msa * cont : minor * cont : ws fix --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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co-authored by
Georgi Gerganov
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563dec81c1
commit
67d5978bb1
@@ -23,6 +23,7 @@ struct llama_memory_context_i;
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class llama_kv_cache_context;
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class llama_kv_cache_dsa_context;
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class llama_kv_cache_msa_context;
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class llama_kv_cache_dsv4_raw_context;
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class llama_kv_cache_dsv4_context;
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class llama_kv_cache_iswa_context;
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@@ -425,6 +426,26 @@ public:
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const llama_kv_cache_dsa_context * mctx;
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};
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// standard K/V attention input against the base cache, plus destination indices for the indexer key cache
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class llm_graph_input_attn_kv_msa : public llm_graph_input_attn_kv {
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public:
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llm_graph_input_attn_kv_msa(
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const llama_hparams & hparams,
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const llama_cparams & cparams,
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const llama_kv_cache_msa_context * mctx);
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~llm_graph_input_attn_kv_msa() = default;
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void set_input(const llama_ubatch * ubatch) override;
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bool can_reuse(const llm_graph_params & params) override;
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ggml_tensor * get_k_idxs_idx() const { return self_k_idxs_idx; }
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ggml_tensor * self_k_idxs_idx = nullptr; // I64 [n_batch]
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const llama_kv_cache_msa_context * mctx_msa;
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};
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class llm_graph_input_attn_kv_iswa : public llm_graph_input_i {
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public:
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llm_graph_input_attn_kv_iswa(
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@@ -1169,6 +1190,8 @@ struct llm_graph_context {
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llm_graph_input_attn_k_dsa * build_attn_inp_k_dsa() const;
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llm_graph_input_attn_kv_msa * build_attn_inp_kv_msa() const;
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ggml_tensor * build_attn(
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llm_graph_input_attn_k_dsa * inp,
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ggml_tensor * wo,
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