Merge commit '2b6dfe824de8600c061ef91ce5cc5c307f97112c' into concedo_experimental

# Conflicts:
#	.github/workflows/release.yml
#	examples/save-load-state/save-load-state.cpp
#	src/llama-context.cpp
#	tools/cli/cli.cpp
This commit is contained in:
Concedo
2026-02-26 15:07:23 +08:00
17 changed files with 258 additions and 194 deletions
+1 -1
View File
@@ -803,7 +803,7 @@ inline void parse_msg_with_xml_tool_calls(common_chat_msg_parser & builder, cons
}
// remove potential partial suffix
if (builder.pos() == builder.input().size()) {
if (builder.pos() == builder.input().size() && builder.is_partial()) {
if (unclosed_reasoning_content.empty()) {
rstrip(content);
trim_potential_partial_word(content);
+62
View File
@@ -1767,3 +1767,65 @@ float lr_opt::get_lr(float epoch) const {
LOG_INF("epoch %.2g lr=%.2g\n", epoch, r);
return r;
}
bool common_replay_last_token(struct llama_context * ctx, llama_token last_token, int32_t pos) {
llama_batch batch = llama_batch_get_one(&last_token, 1);
batch.pos = &pos;
if (llama_decode(ctx, batch)) {
LOG_ERR("%s: failed to replay last token\n", __func__);
return false;
}
return true;
}
bool common_prompt_batch_decode(
struct llama_context * ctx,
const std::vector<llama_token> & tokens,
int & n_past,
int n_batch,
std::string_view state_path,
bool save_state) {
const int n_eval = tokens.size();
if (n_eval == 0) {
return true;
}
if (save_state && n_eval > 1) {
const int n_tokens_before_last = n_eval - 1;
GGML_ASSERT(n_eval <= n_batch);
// Decode all but the last token so we can save the memory state before decoding the last token.
// This is done so we can restore the session state later and replay the last token.
// Memory implementations in recurrent/hybrid models don't support removing tokens from their
// memory, so we can't just remove the last token from the memory and replay the last token which
// is the reason for this logic.
if (llama_decode(ctx, llama_batch_get_one(const_cast<llama_token*>(tokens.data()), n_tokens_before_last))) {
LOG_ERR("%s : failed to eval\n", __func__);
return false;
}
n_past += n_tokens_before_last;
llama_state_save_file(ctx, state_path.data(), tokens.data(), n_tokens_before_last);
LOG_INF("saved session before last token to %s, n_tokens = %d\n", state_path.data(), n_tokens_before_last);
llama_token last_token = tokens.back();
llama_batch batch = llama_batch_get_one(&last_token, 1);
int32_t pos = n_past;
batch.pos = &pos;
if (llama_decode(ctx, batch)) {
LOG_ERR("%s : failed to eval last token\n", __func__);
return false;
}
n_past++;
} else {
if (llama_decode(ctx, llama_batch_get_one(const_cast<llama_token*>(tokens.data()), n_eval))) {
LOG_ERR("%s : failed to eval\n", __func__);
return false;
}
n_past += n_eval;
}
return true;
}
+17
View File
@@ -801,6 +801,23 @@ void common_batch_add(
const std::vector<llama_seq_id> & seq_ids,
bool logits);
// decodes a single batch of tokens for a prompt and manages session tokens
//
// Note: We save state before the last token so that we can replay it to ensure
// compatibility with all memory types. Recurrent/hybrid models cannot remove
// tokens from memory, so this approach works across all model architectures.
bool common_prompt_batch_decode(
struct llama_context * ctx,
const std::vector<llama_token> & embd,
int & n_past,
int n_batch,
std::string_view state_path,
bool save_state);
// replays the last token after loading state to regenerate logits
// used after loading session state to ensure the sampling context has valid logits
bool common_replay_last_token(struct llama_context * ctx, llama_token last_token, int32_t pos);
//
// Vocab utils
//
+8 -7
View File
@@ -85,7 +85,7 @@ value identifier::execute_impl(context & ctx) {
auto builtins = global_builtins();
if (!it->is_undefined()) {
if (ctx.is_get_stats) {
it->stats.used = true;
value_t::stats_t::mark_used(it);
}
JJ_DEBUG("Identifier '%s' found, type = %s", val.c_str(), it->type().c_str());
return it;
@@ -277,7 +277,7 @@ value binary_expression::execute_impl(context & ctx) {
static value try_builtin_func(context & ctx, const std::string & name, value & input, bool undef_on_missing = false) {
JJ_DEBUG("Trying built-in function '%s' for type %s", name.c_str(), input->type().c_str());
if (ctx.is_get_stats) {
input->stats.used = true;
value_t::stats_t::mark_used(input);
input->stats.ops.insert(name);
}
auto builtins = input->get_builtins();
@@ -448,7 +448,7 @@ value for_statement::execute_impl(context & ctx) {
// mark the variable being iterated as used for stats
if (ctx.is_get_stats) {
iterable_val->stats.used = true;
value_t::stats_t::mark_used(iterable_val);
iterable_val->stats.ops.insert("array_access");
}
@@ -470,7 +470,7 @@ value for_statement::execute_impl(context & ctx) {
items.push_back(std::move(tuple));
}
if (ctx.is_get_stats) {
iterable_val->stats.used = true;
value_t::stats_t::mark_used(iterable_val);
iterable_val->stats.ops.insert("object_access");
}
} else {
@@ -480,7 +480,7 @@ value for_statement::execute_impl(context & ctx) {
items.push_back(item);
}
if (ctx.is_get_stats) {
iterable_val->stats.used = true;
value_t::stats_t::mark_used(iterable_val);
iterable_val->stats.ops.insert("array_access");
}
}
@@ -817,8 +817,9 @@ value member_expression::execute_impl(context & ctx) {
}
if (ctx.is_get_stats && val && object && property) {
val->stats.used = true;
object->stats.used = true;
value_t::stats_t::mark_used(val);
value_t::stats_t::mark_used(object);
value_t::stats_t::mark_used(property);
if (is_val<value_int>(property)) {
object->stats.ops.insert("array_access");
} else if (is_val<value_string>(property)) {
+32
View File
@@ -161,6 +161,11 @@ static value tojson(const func_args & args) {
value val_separators = args.get_kwarg_or_pos("separators", 3);
value val_sort = args.get_kwarg_or_pos("sort_keys", 4);
int indent = -1;
if (args.ctx.is_get_stats) {
// mark as used (recursively) for stats
auto val_input = args.get_pos(0);
value_t::stats_t::mark_used(const_cast<value&>(val_input), true);
}
if (is_val<value_int>(val_indent)) {
indent = static_cast<int>(val_indent->as_int());
}
@@ -891,6 +896,11 @@ const func_builtins & value_array_t::get_builtins() const {
}},
{"string", [](const func_args & args) -> value {
args.ensure_vals<value_array>();
if (args.ctx.is_get_stats) {
// mark as used (recursively) for stats
auto val_input = args.get_pos(0);
value_t::stats_t::mark_used(const_cast<value&>(val_input), true);
}
return mk_val<value_string>(args.get_pos(0)->as_string());
}},
{"tojson", tojson},
@@ -1046,6 +1056,11 @@ const func_builtins & value_object_t::get_builtins() const {
{"tojson", tojson},
{"string", [](const func_args & args) -> value {
args.ensure_vals<value_object>();
if (args.ctx.is_get_stats) {
// mark as used (recursively) for stats
auto val_input = args.get_pos(0);
value_t::stats_t::mark_used(const_cast<value&>(val_input), true);
}
return mk_val<value_string>(args.get_pos(0)->as_string());
}},
{"length", [](const func_args & args) -> value {
@@ -1358,4 +1373,21 @@ std::string value_to_string_repr(const value & val) {
}
}
// stats utility
void value_t::stats_t::mark_used(value & val, bool deep) {
val->stats.used = true;
if (deep) {
if (is_val<value_array>(val)) {
for (auto & item : val->val_arr) {
mark_used(item, deep);
}
} else if (is_val<value_object>(val)) {
for (auto & pair : val->val_obj) {
mark_used(pair.first, deep);
mark_used(pair.second, deep);
}
}
}
}
} // namespace jinja
+2
View File
@@ -118,6 +118,8 @@ struct value_t {
bool used = false;
// ops can be builtin calls or operators: "array_access", "object_access"
std::set<std::string> ops;
// utility to recursively mark value and its children as used
static void mark_used(value & val, bool deep = false);
} stats;
value_t() = default;