continue;
}
- // keep track of what the minimum sequence positions would be if we accept the ubatch
- llama_seq_id seq_pos_min[LLAMA_MAX_PARALLEL_SEQUENCES];
- for (int s = 0; s < LLAMA_MAX_PARALLEL_SEQUENCES; ++s) {
- seq_pos_min[s] = cells.seq_pos_min(s);
- }
-
bool found = true;
for (uint32_t i = 0; i < n_tokens; i++) {
- const llama_pos pos = ubatch.pos[i];
- const llama_seq_id seq_id = ubatch.seq_id[i][0];
+ //const llama_pos pos = ubatch.pos[i];
+ //const llama_seq_id seq_id = ubatch.seq_id[i][0];
// can we use this cell? either:
// - the cell is empty
// - the cell is occupied only by one sequence:
- // - mask causally, if the sequence is the same as the one we are inserting
+ // - (disabled) mask causally, if the sequence is the same as the one we are inserting
// - mask SWA, using current max pos for that sequence in the cache
// always insert in the cell with minimum pos
bool can_use = cells.is_empty(head_cur + i);
if (!can_use && cells.seq_count(head_cur + i) == 1) {
const llama_pos pos_cell = cells.pos_get(head_cur + i);
- // causal mask
- if (cells.seq_has(head_cur + i, seq_id)) {
- can_use = pos_cell >= pos;
- }
+ // (disabled) causal mask
+ // note: it's better to purge any "future" tokens beforehand
+ //if (cells.seq_has(head_cur + i, seq_id)) {
+ // can_use = pos_cell >= pos;
+ //}
if (!can_use) {
const llama_seq_id seq_id_cell = cells.seq_get(head_cur + i);
// SWA mask
- // note: we insert only in the cell with minimum pos in order to preserve the invariant that
- // all positions between [pos_min, pos_max] for each sequence will be present in the cache
- // ref: https://github.com/ggml-org/llama.cpp/pull/13746#issuecomment-2916057092
- if (pos_cell == seq_pos_min[seq_id_cell] &&
- is_masked_swa(pos_cell, cells.seq_pos_max(seq_id_cell) + 1)) {
- seq_pos_min[seq_id_cell]++;
+ if (is_masked_swa(pos_cell, cells.seq_pos_max(seq_id_cell) + 1)) {
can_use = true;
}
}
}
void llama_kv_cache_unified::apply_ubatch(uint32_t head_cur, const llama_ubatch & ubatch) {
+ // keep track of the max sequence position that we would overwrite with this ubatch
+ // for non-SWA cache, this would be always empty
+ llama_seq_id seq_pos_max_rm[LLAMA_MAX_PARALLEL_SEQUENCES];
+ for (int s = 0; s < LLAMA_MAX_PARALLEL_SEQUENCES; ++s) {
+ seq_pos_max_rm[s] = -1;
+ }
+
for (uint32_t i = 0; i < ubatch.n_tokens; ++i) {
if (!cells.is_empty(head_cur + i)) {
+ assert(cells.seq_count(head_cur + i) == 1);
+
+ const llama_seq_id seq_id = cells.seq_get(head_cur + i);
+ const llama_pos pos = cells.pos_get(head_cur + i);
+
+ seq_pos_max_rm[seq_id] = std::max(seq_pos_max_rm[seq_id], pos);
+
cells.rm(head_cur + i);
}
}
}
+ // note: we want to preserve the invariant that all positions between [pos_min, pos_max] for each sequence
+ // will be present in the cache. so we have to purge any position which is less than those we would overwrite
+ // ref: https://github.com/ggml-org/llama.cpp/pull/13746#issuecomment-2916057092
+ for (int s = 0; s < LLAMA_MAX_PARALLEL_SEQUENCES; ++s) {
+ if (seq_pos_max_rm[s] == -1) {
+ continue;
+ }
+
+ if (cells.seq_pos_min(s) <= seq_pos_max_rm[s]) {
+ LLAMA_LOG_DEBUG("%s: purging positions [%d, %d] of sequence %d from KV cache\n",
+ __func__, cells.seq_pos_min(s), seq_pos_max_rm[s], s);
+
+ seq_rm(s, cells.seq_pos_min(s), seq_pos_max_rm[s] + 1);
+ }
+ }
+
// move the head at the end of the slot
head = head_cur + ubatch.n_tokens;
}