kv-cells : fix tracking of seq_pos (#14339)

* kv-cells : fix tracking of seq_pos during cache reuse

ggml-ci

* cont : improve error message

ggml-ci

* cont : add more comments
This commit is contained in:
Georgi Gerganov
2025-06-23 12:27:35 +03:00
committed by GitHub
parent 3a9457df96
commit 7b50d589a8
5 changed files with 56 additions and 17 deletions

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@ -944,12 +944,14 @@ extern "C" {
// Requires the context to have a memory.
// For encode-decoder contexts, processes the batch using the decoder.
// Positive return values does not mean a fatal error, but rather a warning.
// Upon non-zero return values, the memory state is restored to the state before this call
// Upon fatal-error or abort, the ubatches that managed to be been processed will remain in the memory state of the context
// To handle this correctly, query the memory state using llama_memory_seq_pos_min() and llama_memory_seq_pos_max()
// Upon other return values, the memory state is restored to the state before this call
// 0 - success
// 1 - could not find a KV slot for the batch (try reducing the size of the batch or increase the context)
// 2 - aborted
// 2 - aborted (processed ubatches will remain in the context's memory)
// -1 - invalid input batch
// < -1 - error
// < -1 - fatal error (processed ubatches will remain in the context's memory)
LLAMA_API int32_t llama_decode(
struct llama_context * ctx,
struct llama_batch batch);

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@ -245,10 +245,11 @@ bool llama_batch_allocr::init(
}
if (memory) {
bool ok = true;
if (batch.token) {
if (seq_pos_min(s) != memory->seq_pos_max(s) + 1) {
LLAMA_LOG_ERROR("%s: sequence %d does not start from the last position stored in the memory\n", __func__, s);
return false;
ok = false;
}
} else {
assert(batch.embd);
@ -256,10 +257,20 @@ bool llama_batch_allocr::init(
// for embeddings (typically used as vision input), we allow them to have repeating positions
// ref: https://github.com/ggml-org/llama.cpp/issues/13694#issuecomment-2983871762
if (seq_pos_min(s) != memory->seq_pos_max(s) && seq_pos_min(s) != memory->seq_pos_max(s) + 1) {
LLAMA_LOG_ERROR("%s: sequence %d does not start from the last position stored in the memory\n", __func__, s);
return false;
ok = false;
}
}
if (!ok) {
LLAMA_LOG_ERROR(
"%s: the tokens of sequence %d in the input batch have inconsistent sequence positions:\n"
" - the last position stored in the memory module of the context (i.e. the KV cache) for sequence %d is X = %d\n"
" - the tokens for sequence %d in the input batch have a starting position of Y = %d\n"
" it is required that the sequence positions remain consecutive: Y = X + 1\n",
__func__, s, s, memory->seq_pos_max(s), s, seq_pos_min(s));
return false;
}
}
if (seq_pos_max(s) - seq_pos_min(s) + 1 > (int) seq_pos[s].size()) {

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@ -1018,7 +1018,6 @@ int llama_context::decode(const llama_batch & batch_inp) {
pos_min[s] = std::numeric_limits<llama_pos>::max();
}
// TODO: fix sequence indexing
for (uint32_t i = 0; i < ubatch.n_tokens; ++i) {
const auto & seq_id = ubatch.seq_id[i][0];

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@ -7,6 +7,7 @@
#include <cassert>
#include <vector>
#include <set>
#include <map>
// meta information about KV cells that can be part of multiple sequences at the same time
// TODO: add unit tests
@ -164,7 +165,7 @@ public:
assert(seq_id >= 0);
seq[i].reset(seq_id);
seq_pos[seq_id].erase(pos[i]);
seq_pos_dec(seq_id, pos[i]);
if (seq[i].none()) {
pos[i] = -1;
@ -187,7 +188,7 @@ public:
seq[i].reset();
seq[i].set(seq_id);
seq_pos[seq_id].insert(pos[i]);
seq_pos_inc(seq_id, pos[i]);
return false;
}
@ -232,7 +233,7 @@ public:
assert(!seq[i].test(seq_id));
seq[i].set(seq_id);
seq_pos[seq_id].insert(pos[i]);
seq_pos_inc(seq_id, pos[i]);
}
// return the sequence id of this cell
@ -259,7 +260,9 @@ public:
return -1;
}
return *seq_pos[seq_id].begin();
assert(seq_pos[seq_id].begin()->second > 0);
return seq_pos[seq_id].begin()->first;
}
// the maximum position of sequence seq_id currently present in any of the cells
@ -272,7 +275,9 @@ public:
return -1;
}
return *seq_pos[seq_id].rbegin();
assert(seq_pos[seq_id].rbegin()->second > 0);
return seq_pos[seq_id].rbegin()->first;
}
// note: call only if the cell is not empty
@ -389,17 +394,36 @@ private:
// the bitset seq[i] tells us which sequences are currently occupying the i-th cell
std::vector<seq_set_t> seq;
// the set seq_pos[s] tells us which positions are currently present for sequence s
// the set seq_pos[s][p] tells us how many times the position p is currently present for sequence s
// if the position p is not present, seq_pos[s][p] is not set
// this way seq_pos[s].begin() and seq_pos[s].rbegin() give us the min/max positions currently in the cache
std::set<llama_pos> seq_pos[LLAMA_MAX_SEQ];
//
// note that we cannot a use an std::set because in some cases a position can occur more than once for the same seq:
// - during performing a cache reuse via (rm + add)
// - some vision models have input embeddings with repeating positions
//
std::map<llama_pos, int> seq_pos[LLAMA_MAX_SEQ];
// helper functions for updating `seq_pos`, once cell at a time:
void seq_pos_dec(llama_seq_id s, llama_pos p) {
auto it = seq_pos[s].find(p);
assert(it != seq_pos[s].end());
if (--it->second == 0) {
seq_pos[s].erase(it);
}
}
void seq_pos_inc(llama_seq_id s, llama_pos p) {
seq_pos[s][p]++;
}
// remove cell i
void seq_pos_rm(uint32_t i) {
for (int s = 0; s < LLAMA_MAX_SEQ; ++s) {
if (seq[i].test(s)) {
seq_pos[s].erase(pos[i]);
seq_pos_dec(s, pos[i]);
}
}
}
@ -408,7 +432,7 @@ private:
void seq_pos_add(uint32_t i) {
for (int s = 0; s < LLAMA_MAX_SEQ; ++s) {
if (seq[i].test(s)) {
seq_pos[s].insert(pos[i]);
seq_pos_inc(s, pos[i]);
}
}
}

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@ -3418,9 +3418,12 @@ struct server_context {
}
if (ret < -1) {
// TODO: update slot state based on llama_memory_seq_pos_min() and llama_memory_seq_pos_max()
err = "Compute error.";
}
// TODO: handle ret == 2 (abort) when we start aborting
if (!err.empty()) {
SRV_ERR("%s, i = %d, n_batch = %d, ret = %d\n", err.c_str(), i, n_batch, ret);
for (auto & slot : slots) {