[Optim] Robust sync status when preempted happens (#5796)

* [Bug fix] Sync status for caching output cache

* fix

* fix

* fix bug

* fix

* fix

* support xpu

* fix

* fix

* fix

* fix

* fix

* fix ci

* fix ci

* fix xpu

---------

Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
This commit is contained in:
chenjian
2026-01-14 12:07:33 +08:00
committed by GitHub
parent 0d1a5e70bc
commit 74d0f1c01f
17 changed files with 442 additions and 354 deletions
@@ -30,104 +30,108 @@ void SpeculateSaveWithOutputMsg(const paddle::Tensor& accept_tokens,
const paddle::Tensor& not_need_stop,
const paddle::Tensor& seq_lens_decoder,
const paddle::Tensor& prompt_lens,
const paddle::Tensor& preempted_idx,
int64_t rank_id,
int msg_queue_id,
int save_each_rank,
bool skip_prefill) {
// printf("enter save output");
if (!save_each_rank && rank_id > 0) {
return;
}
int max_draft_tokens = accept_tokens.shape()[1];
auto accept_tokens_cpu = accept_tokens.copy_to(paddle::CPUPlace(), true);
auto accept_num_cpu = accept_num.copy_to(paddle::CPUPlace(), true);
int64_t* accept_tokens_data = accept_tokens_cpu.data<int64_t>();
int* accept_num_data = accept_num_cpu.data<int>();
auto seq_lens_decoder_cpu = seq_lens_decoder.copy_to(paddle::CPUPlace(), true);
auto prompt_lens_cpu = prompt_lens.copy_to(paddle::CPUPlace(), true);
int* seq_lens_decoder_data = seq_lens_decoder_cpu.data<int>();
int64_t* prompt_lens_data = prompt_lens_cpu.data<int64_t>();
if (const char* inference_msg_queue_id_env_p =
std::getenv("INFERENCE_MSG_QUEUE_ID")) {
std::string inference_msg_queue_id_env_str(
inference_msg_queue_id_env_p);
int inference_msg_queue_id_from_env =
std::stoi(inference_msg_queue_id_env_str);
#ifdef GET_OUTPUT_DEBUG
std::cout << "Your INFERENCE_MSG_QUEUE_ID is: "
<< inference_msg_queue_id_from_env << std::endl;
#endif
msg_queue_id = inference_msg_queue_id_from_env;
}
static struct speculate_msgdata msg_sed;
static key_t key = ftok("./", msg_queue_id);
static int msgid = msgget(key, IPC_CREAT | 0666);
msg_sed.mtype = 1;
bool not_need_stop_data = not_need_stop.data<bool>()[0];
int inference_msg_id_from_env = 1;
if (const char* inference_msg_id_env_p = std::getenv("INFERENCE_MSG_ID")) {
std::string inference_msg_id_env_str(inference_msg_id_env_p);
inference_msg_id_from_env = std::stoi(inference_msg_id_env_str);
if (inference_msg_id_from_env == 2) {
// 2 and -2 is preserve for no-output indication.
throw std::runtime_error(
" INFERENCE_MSG_ID cannot be 2, please use other number.");
}
if (inference_msg_id_from_env < 0) {
throw std::runtime_error(
" INFERENCE_MSG_ID cannot be negative, please use other "
"number.");
}
#ifdef SAVE_WITH_OUTPUT_DEBUG
std::cout << "Your INFERENCE_MSG_ID is: " << inference_msg_id_from_env
<< std::endl;
#endif
} else {
#ifdef SAVE_WITH_OUTPUT_DEBUG
std::cout
<< "Failed to got INFERENCE_MSG_ID at env, use (int)1 as default."
<< std::endl;
#endif
}
msg_sed.mtext[0] = not_need_stop_data ? inference_msg_id_from_env
: -inference_msg_id_from_env;
int bsz = accept_tokens.shape()[0];
msg_sed.mtext[1] = bsz;
for (int i = 2; i < MAX_BSZ + 2; i++) {
if (i - 2 >= bsz || (skip_prefill && seq_lens_decoder_data[i - 2] < prompt_lens_data[i - 2])) {
msg_sed.mtext[i] = 0;
} else {
msg_sed.mtext[i] = (int)accept_num_data[i - 2];
}
}
for (int i = MAX_BSZ + 2; i < MAX_BSZ * MAX_DRAFT_TOKENS + MAX_BSZ + 2;
i++) {
int token_id = i - MAX_BSZ - 2;
int bid = token_id / MAX_DRAFT_TOKENS;
int local_token_id = token_id % MAX_DRAFT_TOKENS;
if (token_id / MAX_DRAFT_TOKENS >= bsz) {
msg_sed.mtext[i] = 0;
} else {
msg_sed.mtext[i] =
accept_tokens_data[bid * max_draft_tokens + local_token_id];
}
}
if ((msgsnd(msgid,
&msg_sed,
(MAX_BSZ * MAX_DRAFT_TOKENS + MAX_BSZ + 2) * 4,
0)) == -1) {
printf("full msg buffer\n");
}
// printf("enter save output");
if (!save_each_rank && rank_id > 0) {
return;
}
int max_draft_tokens = accept_tokens.shape()[1];
auto accept_tokens_cpu = accept_tokens.copy_to(paddle::CPUPlace(), true);
auto accept_num_cpu = accept_num.copy_to(paddle::CPUPlace(), true);
int64_t* accept_tokens_data = accept_tokens_cpu.data<int64_t>();
int* accept_num_data = accept_num_cpu.data<int>();
auto seq_lens_decoder_cpu =
seq_lens_decoder.copy_to(paddle::CPUPlace(), true);
auto prompt_lens_cpu = prompt_lens.copy_to(paddle::CPUPlace(), true);
int* seq_lens_decoder_data = seq_lens_decoder_cpu.data<int>();
int64_t* prompt_lens_data = prompt_lens_cpu.data<int64_t>();
const int32_t* preempted_idx_data = preempted_idx.data<int32_t>();
if (const char* inference_msg_queue_id_env_p =
std::getenv("INFERENCE_MSG_QUEUE_ID")) {
std::string inference_msg_queue_id_env_str(inference_msg_queue_id_env_p);
int inference_msg_queue_id_from_env =
std::stoi(inference_msg_queue_id_env_str);
#ifdef GET_OUTPUT_DEBUG
std::cout << "Your INFERENCE_MSG_QUEUE_ID is: "
<< inference_msg_queue_id_from_env << std::endl;
#endif
msg_queue_id = inference_msg_queue_id_from_env;
}
static struct speculate_msgdata msg_sed;
static key_t key = ftok("./", msg_queue_id);
static int msgid = msgget(key, IPC_CREAT | 0666);
msg_sed.mtype = 1;
bool not_need_stop_data = not_need_stop.data<bool>()[0];
int inference_msg_id_from_env = 1;
if (const char* inference_msg_id_env_p = std::getenv("INFERENCE_MSG_ID")) {
std::string inference_msg_id_env_str(inference_msg_id_env_p);
inference_msg_id_from_env = std::stoi(inference_msg_id_env_str);
if (inference_msg_id_from_env == 2) {
// 2 and -2 is preserve for no-output indication.
throw std::runtime_error(
" INFERENCE_MSG_ID cannot be 2, please use other number.");
}
if (inference_msg_id_from_env < 0) {
throw std::runtime_error(
" INFERENCE_MSG_ID cannot be negative, please use other "
"number.");
}
#ifdef SAVE_WITH_OUTPUT_DEBUG
std::cout << "Your INFERENCE_MSG_ID is: " << inference_msg_id_from_env
<< std::endl;
#endif
} else {
#ifdef SAVE_WITH_OUTPUT_DEBUG
std::cout << "Failed to got INFERENCE_MSG_ID at env, use (int)1 as default."
<< std::endl;
#endif
}
msg_sed.mtext[0] = not_need_stop_data ? inference_msg_id_from_env
: -inference_msg_id_from_env;
int bsz = accept_tokens.shape()[0];
msg_sed.mtext[1] = bsz;
for (int i = 2; i < MAX_BSZ + 2; i++) {
if (i - 2 >= bsz || (skip_prefill && seq_lens_decoder_data[i - 2] <
prompt_lens_data[i - 2])) {
msg_sed.mtext[i] = 0;
} else {
msg_sed.mtext[i] = (int)accept_num_data[i - 2];
}
if (i - 2 < bsz && preempted_idx_data[i - 2] == 1) {
msg_sed.mtext[i] = -9;
}
}
for (int i = MAX_BSZ + 2; i < MAX_BSZ * MAX_DRAFT_TOKENS + MAX_BSZ + 2; i++) {
int token_id = i - MAX_BSZ - 2;
int bid = token_id / MAX_DRAFT_TOKENS;
int local_token_id = token_id % MAX_DRAFT_TOKENS;
if (token_id / MAX_DRAFT_TOKENS >= bsz) {
msg_sed.mtext[i] = 0;
} else {
msg_sed.mtext[i] =
accept_tokens_data[bid * max_draft_tokens + local_token_id];
}
}
if ((msgsnd(msgid,
&msg_sed,
(MAX_BSZ * MAX_DRAFT_TOKENS + MAX_BSZ + 2) * 4,
0)) == -1) {
printf("full msg buffer\n");
}
return;
}
void SpeculateSaveWithOutputMsgStatic(const paddle::Tensor& accept_tokens,
@@ -135,11 +139,20 @@ void SpeculateSaveWithOutputMsgStatic(const paddle::Tensor& accept_tokens,
const paddle::Tensor& not_need_stop,
const paddle::Tensor& seq_lens_decoder,
const paddle::Tensor& prompt_lens,
const paddle::Tensor& preempted_idx,
int64_t rank_id,
bool save_each_rank,
bool skip_prefill) {
SpeculateSaveWithOutputMsg(
accept_tokens, accept_num, not_need_stop, seq_lens_decoder, prompt_lens, rank_id, 1, save_each_rank, skip_prefill);
SpeculateSaveWithOutputMsg(accept_tokens,
accept_num,
not_need_stop,
seq_lens_decoder,
prompt_lens,
preempted_idx,
rank_id,
1,
save_each_rank,
skip_prefill);
}
void SpeculateSaveWithOutputMsgDynamic(const paddle::Tensor& accept_tokens,
@@ -147,24 +160,46 @@ void SpeculateSaveWithOutputMsgDynamic(const paddle::Tensor& accept_tokens,
const paddle::Tensor& not_need_stop,
const paddle::Tensor& seq_lens_decoder,
const paddle::Tensor& prompt_lens,
const paddle::Tensor& preempted_idx,
int64_t rank_id,
int msg_queue_id,
bool save_each_rank,
bool skip_prefill) {
SpeculateSaveWithOutputMsg(
accept_tokens, accept_num, not_need_stop, seq_lens_decoder, prompt_lens, rank_id, msg_queue_id, save_each_rank, skip_prefill);
SpeculateSaveWithOutputMsg(accept_tokens,
accept_num,
not_need_stop,
seq_lens_decoder,
prompt_lens,
preempted_idx,
rank_id,
msg_queue_id,
save_each_rank,
skip_prefill);
}
PD_BUILD_STATIC_OP(speculate_save_output)
.Inputs({"accept_tokens", "accept_num", "not_need_stop", "seq_lens_decoder", "prompt_lens"})
.Inputs({"accept_tokens",
"accept_num",
"not_need_stop",
"seq_lens_decoder",
"prompt_lens",
"preempted_idx"})
.Attrs({"rank_id: int64_t", "save_each_rank: bool", "skip_prefill: bool"})
.Outputs({"x_out"})
.SetInplaceMap({{"accept_tokens", "x_out"}})
.SetKernelFn(PD_KERNEL(SpeculateSaveWithOutputMsgStatic));
PD_BUILD_STATIC_OP(speculate_save_output_dynamic)
.Inputs({"accept_tokens", "accept_num", "not_need_stop", "seq_lens_decoder", "prompt_lens"})
.Attrs({"rank_id: int64_t", "msg_queue_id: int", "save_each_rank: bool", "skip_prefill: bool"})
.Inputs({"accept_tokens",
"accept_num",
"not_need_stop",
"seq_lens_decoder",
"prompt_lens",
"preempted_idx"})
.Attrs({"rank_id: int64_t",
"msg_queue_id: int",
"save_each_rank: bool",
"skip_prefill: bool"})
.Outputs({"x_out"})
.SetInplaceMap({{"accept_tokens", "x_out"}})
.SetKernelFn(PD_KERNEL(SpeculateSaveWithOutputMsgDynamic));
@@ -48,6 +48,7 @@ void SpeculateSaveOutMmsgTopK(const paddle::Tensor& sampled_token_ids,
const paddle::Tensor& not_need_stop,
const paddle::Tensor& seq_lens_decoder,
const paddle::Tensor& prompt_lens,
const paddle::Tensor& preempted_idx,
int message_flag, // Target: 3, Draft: 4
int64_t rank_id,
bool save_each_rank) {
@@ -79,6 +80,7 @@ void SpeculateSaveOutMmsgTopK(const paddle::Tensor& sampled_token_ids,
int* cu_batch_token_offset_data = cu_batch_token_offset_cpu.data<int>();
int* seq_lens_decoder_data = seq_lens_decoder_cpu.data<int>();
int64_t* prompt_lens_data = prompt_lens_cpu.data<int64_t>();
const int32_t* preempted_idx_data = preempted_idx.data<int32_t>();
static struct msgdata msg_sed;
int msg_queue_id = 1;
@@ -142,6 +144,10 @@ void SpeculateSaveOutMmsgTopK(const paddle::Tensor& sampled_token_ids,
cur_token_num = token_num_per_batch_data[i];
}
msg_sed.meta[3 + i] = cur_token_num;
if (preempted_idx_data[i] == 1) {
msg_sed.meta[3 + i] = -9;
}
auto* cur_batch_msg_sed = &msg_sed.mtext[i];
int token_offset = cu_batch_token_offset_data[i];
for (int j = 0; j < cur_token_num; j++) {
@@ -196,16 +202,15 @@ void SpeculateSaveOutMmsgTopK(const paddle::Tensor& sampled_token_ids,
}
PD_BUILD_STATIC_OP(speculate_save_output_topk)
.Inputs({
"sampled_token_ids",
"logprob_token_ids",
"logprob_scores",
"logprob_ranks",
"token_num_per_batch",
"cu_batch_token_offset",
"not_need_stop",
"seq_lens_decoder",
"prompt_lens",
})
.Inputs({"sampled_token_ids",
"logprob_token_ids",
"logprob_scores",
"logprob_ranks",
"token_num_per_batch",
"cu_batch_token_offset",
"not_need_stop",
"seq_lens_decoder",
"prompt_lens",
"preempted_idx"})
.Attrs({"message_flag: int", "rank_id: int64_t", "save_each_rank: bool"})
.SetKernelFn(PD_KERNEL(SpeculateSaveOutMmsgTopK));