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https://github.com/ggml-org/llama.cpp.git
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225e7a1438
* kv-cache : prepare K/V buffers for separation ggml-ci * batched-bench : fix oob write ggml-ci * llama : add "virtual sequences" ggml-ci * llama : use "stream" vs "virtual sequence" ggml-ci * graph : fix stream splitting when KV cache is not used ggml-ci * kv-cache : add multi-stream save/load support ggml-ci * llama : add "--attn-streams" flag ggml-ci * kv-cache : fix handling when find_slot fails ggml-ci * kv-cache : restore find_slot impl ggml-ci * kv-cache : add comments * kv-cache : add bounds checks for sequence id ggml-ci * cont : add n_seq_max to batch allocr ggml-ci * kv-cache : perform stream copies lazily after llama_synchronize ggml-ci * kv-cache : avoid throwing exceptions across the C boundary ggml-ci * CUDA: 4D FlashAttention support (#14628) * CUDA: 4D FlashAttention support * CUDA: fix WMMA FA kernel * llama : rename attn_streams -> kv_unified ggml-ci * common : rename kv_split -> kv_unified ggml-ci --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
134 lines
4.0 KiB
C++
134 lines
4.0 KiB
C++
#pragma once
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#include "llama-kv-cache-unified.h"
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#include <vector>
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//
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// llama_kv_cache_unified_iswa
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//
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// utilizes two instances of llama_kv_cache_unified
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// the first instance is for the non-SWA layers of the model and the second instance is for the SWA layers
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class llama_kv_cache_unified_iswa : public llama_memory_i {
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public:
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llama_kv_cache_unified_iswa(
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const llama_model & model,
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ggml_type type_k,
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ggml_type type_v,
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bool v_trans,
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bool offload,
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bool swa_full,
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bool unified,
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uint32_t kv_size,
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uint32_t n_seq_max,
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uint32_t n_ubatch,
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uint32_t n_pad);
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~llama_kv_cache_unified_iswa() = default;
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//
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// llama_memory_i
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//
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llama_memory_context_ptr init_batch(
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llama_batch_allocr & balloc,
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uint32_t n_ubatch,
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bool embd_all) override;
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llama_memory_context_ptr init_full() override;
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llama_memory_context_ptr init_update(llama_context * lctx, bool optimize) override;
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bool get_can_shift() const override;
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void clear(bool data) override;
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bool seq_rm (llama_seq_id seq_id, llama_pos p0, llama_pos p1) override;
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void seq_cp (llama_seq_id seq_id_src, llama_seq_id seq_id_dst, llama_pos p0, llama_pos p1) override;
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void seq_keep(llama_seq_id seq_id) override;
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void seq_add (llama_seq_id seq_id, llama_pos p0, llama_pos p1, llama_pos shift) override;
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void seq_div (llama_seq_id seq_id, llama_pos p0, llama_pos p1, int d) override;
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llama_pos seq_pos_min(llama_seq_id seq_id) const override;
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llama_pos seq_pos_max(llama_seq_id seq_id) const override;
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// state write/load
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void state_write(llama_io_write_i & io, llama_seq_id seq_id = -1) const override;
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void state_read (llama_io_read_i & io, llama_seq_id seq_id = -1) override;
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//
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// llama_kv_cache_unified_iswa specific API
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//
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llama_kv_cache_unified * get_base() const;
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llama_kv_cache_unified * get_swa () const;
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private:
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const llama_hparams & hparams;
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const bool unified;
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std::unique_ptr<llama_kv_cache_unified> kv_base;
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std::unique_ptr<llama_kv_cache_unified> kv_swa;
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};
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class llama_kv_cache_unified_iswa_context : public llama_memory_context_i {
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public:
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using slot_info_vec_t = llama_kv_cache_unified::slot_info_vec_t;
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// used for errors
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llama_kv_cache_unified_iswa_context(llama_memory_status status);
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// used to create a full-cache context
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llama_kv_cache_unified_iswa_context(
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llama_kv_cache_unified_iswa * kv);
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// used to create an update context
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llama_kv_cache_unified_iswa_context(
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llama_kv_cache_unified_iswa * kv,
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llama_context * lctx,
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bool optimize);
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// used to create a batch processing context from a batch
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llama_kv_cache_unified_iswa_context(
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llama_kv_cache_unified_iswa * kv,
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slot_info_vec_t sinfos_base,
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slot_info_vec_t sinfos_swa,
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std::vector<llama_ubatch> ubatches);
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virtual ~llama_kv_cache_unified_iswa_context();
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//
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// llama_memory_context_i
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//
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bool next() override;
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bool apply() override;
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llama_memory_status get_status() const override;
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const llama_ubatch & get_ubatch() const override;
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//
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// llama_kv_cache_unified_iswa_context specific API
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//
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const llama_kv_cache_unified_context * get_base() const;
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const llama_kv_cache_unified_context * get_swa() const;
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private:
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//llama_kv_cache_unified_iswa * kv;
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// the index of the next ubatch to process
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size_t i_next = 0;
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std::vector<llama_ubatch> ubatches;
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const llama_memory_context_ptr ctx_base;
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const llama_memory_context_ptr ctx_swa;
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const llama_memory_status status;
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};
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