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#pragma once
#include "llama.h"
#include "ggml-cpp.h"
#include <set>
#include <vector>
struct llama_kv_cell {
llama_pos pos = -1;
llama_pos delta = 0;
int32_t src = -1; // used by recurrent state models to copy states
int32_t tail = -1;
std::set<llama_seq_id> seq_id;
bool has_seq_id(const llama_seq_id & id) const {
return seq_id.find(id) != seq_id.end();
}
bool is_empty() const {
return seq_id.empty();
}
bool is_same_seq(const llama_kv_cell & other) const {
return seq_id == other.seq_id;
}
};
// ring-buffer of cached KV data
struct llama_kv_cache {
bool has_shift = false;
bool do_defrag = false;
bool recurrent = false; // with recurrent state models, a cell can hold the state for more than one past token
bool v_trans = true; // the value tensor is transposed
bool can_shift = false;
// Note: The value of head isn't only used to optimize searching
// for a free KV slot. llama_decode_internal also uses it, so it
// cannot be freely changed after a slot has been allocated.
uint32_t head = 0;
uint32_t size = 0;
uint32_t used = 0; // used cells (i.e. at least one seq_id)
// computed before each graph build
uint32_t n = 0;
ggml_type type_k = GGML_TYPE_F16;
ggml_type type_v = GGML_TYPE_F16;
std::vector<llama_kv_cell> cells;
std::vector<struct ggml_tensor *> k_l; // per layer
std::vector<struct ggml_tensor *> v_l;
std::vector<ggml_context_ptr> ctxs;
std::vector<ggml_backend_buffer_ptr> bufs;
size_t total_size() const {
size_t size = 0;
for (const auto & buf : bufs) {
size += ggml_backend_buffer_get_size(buf.get());
}
return size;
}
// TODO: better data structures to reduce the cost of this operation
llama_pos max_pos() const {
llama_pos max_pos = -1;
for (const auto & cell : cells) {
max_pos = std::max(max_pos, cell.pos);
}
return max_pos;
}
};
// a structure holds information about the slot found in llama_kv_cache_find_slot
struct llama_kv_cache_slot_info {
std::pair<uint32_t, uint32_t> boundaries; // slot boundaries [begin, end)
bool found = false; // the slot was found
explicit llama_kv_cache_slot_info(bool found_) : found{found_} {}
llama_kv_cache_slot_info(uint32_t begin, uint32_t end) : boundaries{begin, end}, found{true} {}
operator bool() const { return found; }
};
// TODO: maybe not needed
uint32_t llama_kv_cache_get_padding(const struct llama_cparams & cparams);
bool llama_kv_cache_init(
struct llama_kv_cache & cache,
const llama_model & model,
const llama_cparams & cparams,
ggml_type type_k,
ggml_type type_v,
uint32_t kv_size,
bool offload);
// find an empty slot of size "n_tokens" in the cache
// updates the cache head
// returns a structure holding information about the slot found
// Note: On success, it's important that cache.head points
// to the first cell of the slot.
struct llama_kv_cache_slot_info llama_kv_cache_find_slot(
struct llama_kv_cache & cache,
const struct llama_ubatch & batch);
// find how many cells are currently in use
uint32_t llama_kv_cache_cell_max(const struct llama_kv_cache & cache);
void llama_kv_cache_clear(struct llama_kv_cache & cache);
bool llama_kv_cache_seq_rm(
struct llama_kv_cache & cache,
llama_seq_id seq_id,
llama_pos p0,
llama_pos p1);
void llama_kv_cache_seq_cp(
struct llama_kv_cache & cache,
llama_seq_id seq_id_src,
llama_seq_id seq_id_dst,
llama_pos p0,
llama_pos p1);
void llama_kv_cache_seq_keep(
struct llama_kv_cache & cache,
llama_seq_id seq_id);
void llama_kv_cache_seq_add(
struct llama_kv_cache & cache,
llama_seq_id seq_id,
llama_pos p0,
llama_pos p1,
llama_pos delta);
void llama_kv_cache_seq_div(
struct llama_kv_cache & cache,
llama_seq_id seq_id,
llama_pos p0,
llama_pos p1,
int d);
llama_pos llama_kv_cache_seq_pos_max(
struct llama_kv_cache & cache,
llama_seq_id seq_id);
void llama_kv_cache_defrag(struct llama_kv_cache & cache);
int32_t llama_get_kv_cache_token_count(const struct llama_kv_cache & kv);
int32_t llama_get_kv_cache_used_cells(const struct llama_kv_cache & kv);
bool llama_kv_cache_can_shift(const struct llama_kv_cache & kv);
//
// kv cache view
//
struct llama_kv_cache_view llama_kv_cache_view_init(const struct llama_kv_cache & kv, int32_t n_seq_max);
void llama_kv_cache_view_update(struct llama_kv_cache_view * view, const struct llama_kv_cache & kv);
//
// kv cache restore
//
// saves the kv_cache state for future recovery.
// used to rollback llama_kv_cache_find_slot changes.
struct llama_kv_slot_restorer {
struct llama_kv_cache_state {
uint32_t head = 0;
uint32_t n = 0;
} old_state;
// for non-recurrent models only
// list of slots to restore
std::vector<std::pair<uint32_t, uint32_t>> slot_boundaries;
bool do_restore = false;
explicit llama_kv_slot_restorer(const struct llama_kv_cache & cache) {
old_state.head = cache.head;
old_state.n = cache.n;
}
// saves a slot information for future restoration
void save(const struct llama_kv_cache_slot_info & slot) {
if (slot) {
do_restore = true;
if (slot.boundaries.first != slot.boundaries.second) {
slot_boundaries.push_back(slot.boundaries);
}
}
}
// must be explicitly called to restore the kv_cache state
// and rollback changes from all llama_kv_cache_find_slot calls
void restore(struct llama_kv_cache & cache) {
if (do_restore) {
cache.head = old_state.head;
cache.n = old_state.n;
if (cache.recurrent) { // recurrent models like Mamba or RWKV can't have a state partially erased
llama_kv_cache_seq_rm(cache, -1, -1, -1);
} else {
for (auto & slot : slot_boundaries) {
llama_kv_cache_seq_rm(cache, -1, slot.first, slot.second);
}
}
}
}
};
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