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https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-23 00:17:25 +08:00
[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
@@ -28,120 +28,131 @@
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// #define SAVE_WITH_OUTPUT_DEBUG
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struct msgdata {
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long mtype;
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int mtext[MAX_BSZ * (K + 1) + 2]; // stop_flag, bsz, tokens
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float mtext_f[MAX_BSZ * (K + 1)]; // score
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int mtext_ranks[MAX_BSZ]; // ranks
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long mtype;
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int mtext[MAX_BSZ * (K + 1) + 2]; // stop_flag, bsz, tokens
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float mtext_f[MAX_BSZ * (K + 1)]; // score
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int mtext_ranks[MAX_BSZ]; // ranks
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};
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void SaveOutMmsgTopK(const paddle::Tensor& x,
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const paddle::Tensor& logprob_token_ids, // [bsz, k+1]
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const paddle::Tensor& logprob_scores, // [bsz, k+1]
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const paddle::Tensor& logprob_token_ids, // [bsz, k+1]
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const paddle::Tensor& logprob_scores, // [bsz, k+1]
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const paddle::Tensor& ranks,
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const paddle::Tensor& not_need_stop,
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const paddle::Tensor& preempted_idx,
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int64_t rank_id) {
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if (rank_id > 0) {
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return;
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}
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auto x_cpu = x.copy_to(paddle::CPUPlace(), false);
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auto logprob_token_ids_cpu = logprob_token_ids.copy_to(paddle::CPUPlace(), false);
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auto logprob_scores_cpu = logprob_scores.copy_to(paddle::CPUPlace(), false);
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auto ranks_cpu = ranks.copy_to(paddle::CPUPlace(), false);
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int64_t* x_data = x_cpu.data<int64_t>();
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int64_t* logprob_token_ids_data = logprob_token_ids_cpu.data<int64_t>();
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float* logprob_scores_data = logprob_scores_cpu.data<float>();
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int64_t* ranks_data = ranks_cpu.data<int64_t>();
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static struct msgdata msg_sed;
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int msg_queue_id = 1;
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if (const char* inference_msg_queue_id_env_p =
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std::getenv("INFERENCE_MSG_QUEUE_ID")) {
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std::string inference_msg_queue_id_env_str(
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inference_msg_queue_id_env_p);
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int inference_msg_queue_id_from_env =
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std::stoi(inference_msg_queue_id_env_str);
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msg_queue_id = inference_msg_queue_id_from_env;
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "Your INFERENCE_MSG_QUEUE_ID is: "
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<< inference_msg_queue_id_from_env << std::endl;
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#endif
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} else {
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "Failed to got INFERENCE_MSG_QUEUE_ID at env, use default."
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<< std::endl;
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#endif
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}
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int inference_msg_id_from_env = 1;
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if (const char* inference_msg_id_env_p = std::getenv("INFERENCE_MSG_ID")) {
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std::string inference_msg_id_env_str(inference_msg_id_env_p);
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inference_msg_id_from_env = std::stoi(inference_msg_id_env_str);
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if (inference_msg_id_from_env == 2) {
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// 2 and -2 is preserve for no-output indication.
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throw std::runtime_error(
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" INFERENCE_MSG_ID cannot be 2, please use other number.");
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}
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if (inference_msg_id_from_env < 0) {
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throw std::runtime_error(
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" INFERENCE_MSG_ID cannot be negative, please use other "
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"number.");
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}
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "Your INFERENCE_MSG_ID is: " << inference_msg_id_from_env
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<< std::endl;
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#endif
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} else {
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout
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<< "Failed to got INFERENCE_MSG_ID at env, use (int)1 as default."
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<< std::endl;
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#endif
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}
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static key_t key = ftok("/dev/shm", msg_queue_id);
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static int msgid = msgget(key, IPC_CREAT | 0666);
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "save_output_key: " << key << std::endl;
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std::cout << "save msgid: " << msgid << std::endl;
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#endif
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msg_sed.mtype = 1;
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bool not_need_stop_data = not_need_stop.data<bool>()[0];
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msg_sed.mtext[0] = not_need_stop_data ? inference_msg_id_from_env
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: -inference_msg_id_from_env;
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int bsz = x.shape()[0];
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int max_num_logprobs = logprob_token_ids.shape()[1];
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msg_sed.mtext[1] = bsz;
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for (int i = 0; i < bsz; i++) {
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for (int j = 0; j < K + 1; j++) {
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const int64_t offset = i * (K + 1) + j;
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if (j == 0) {
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msg_sed.mtext[offset + 2] = (int)x_data[i];
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msg_sed.mtext_f[offset] = logprob_scores_data[i * max_num_logprobs + j];
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} else if (j < max_num_logprobs) {
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msg_sed.mtext[offset + 2] = (int)logprob_token_ids_data[i * max_num_logprobs + j];
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msg_sed.mtext_f[offset] = logprob_scores_data[i * max_num_logprobs + j];
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} else {
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msg_sed.mtext[offset + 2] = -1;
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msg_sed.mtext_f[offset] = 0.0;
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}
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}
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msg_sed.mtext_ranks[i] = (int)ranks_data[i];
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}
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "msg data: ";
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for (int i = 0; i < bsz; i++) {
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std::cout << " " << (int)x_data[i];
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}
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std::cout << std::endl;
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#endif
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if ((msgsnd(msgid,
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&msg_sed,
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(MAX_BSZ * (K + 1) + 2) * 4 + (MAX_BSZ * (K + 1)) * 4 + MAX_BSZ * 4,
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0)) == -1) {
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printf("full msg buffer\n");
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}
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if (rank_id > 0) {
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return;
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}
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auto x_cpu = x.copy_to(paddle::CPUPlace(), false);
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auto logprob_token_ids_cpu =
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logprob_token_ids.copy_to(paddle::CPUPlace(), false);
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auto logprob_scores_cpu = logprob_scores.copy_to(paddle::CPUPlace(), false);
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auto ranks_cpu = ranks.copy_to(paddle::CPUPlace(), false);
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int64_t* x_data = x_cpu.data<int64_t>();
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int64_t* logprob_token_ids_data = logprob_token_ids_cpu.data<int64_t>();
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float* logprob_scores_data = logprob_scores_cpu.data<float>();
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int64_t* ranks_data = ranks_cpu.data<int64_t>();
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const int32_t* preempted_idx_data = preempted_idx.data<int32_t>();
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static struct msgdata msg_sed;
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int msg_queue_id = 1;
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if (const char* inference_msg_queue_id_env_p =
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std::getenv("INFERENCE_MSG_QUEUE_ID")) {
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std::string inference_msg_queue_id_env_str(inference_msg_queue_id_env_p);
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int inference_msg_queue_id_from_env =
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std::stoi(inference_msg_queue_id_env_str);
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msg_queue_id = inference_msg_queue_id_from_env;
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "Your INFERENCE_MSG_QUEUE_ID is: "
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<< inference_msg_queue_id_from_env << std::endl;
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#endif
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} else {
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "Failed to got INFERENCE_MSG_QUEUE_ID at env, use default."
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<< std::endl;
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#endif
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}
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int inference_msg_id_from_env = 1;
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if (const char* inference_msg_id_env_p = std::getenv("INFERENCE_MSG_ID")) {
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std::string inference_msg_id_env_str(inference_msg_id_env_p);
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inference_msg_id_from_env = std::stoi(inference_msg_id_env_str);
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if (inference_msg_id_from_env == 2) {
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// 2 and -2 is preserve for no-output indication.
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throw std::runtime_error(
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" INFERENCE_MSG_ID cannot be 2, please use other number.");
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}
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if (inference_msg_id_from_env < 0) {
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throw std::runtime_error(
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" INFERENCE_MSG_ID cannot be negative, please use other "
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"number.");
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}
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "Your INFERENCE_MSG_ID is: " << inference_msg_id_from_env
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<< std::endl;
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#endif
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} else {
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "Failed to got INFERENCE_MSG_ID at env, use (int)1 as default."
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<< std::endl;
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#endif
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}
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static key_t key = ftok("/dev/shm", msg_queue_id);
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static int msgid = msgget(key, IPC_CREAT | 0666);
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "save_output_key: " << key << std::endl;
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std::cout << "save msgid: " << msgid << std::endl;
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#endif
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msg_sed.mtype = 1;
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bool not_need_stop_data = not_need_stop.data<bool>()[0];
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msg_sed.mtext[0] = not_need_stop_data ? inference_msg_id_from_env
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: -inference_msg_id_from_env;
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int bsz = x.shape()[0];
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int max_num_logprobs = logprob_token_ids.shape()[1];
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msg_sed.mtext[1] = bsz;
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for (int i = 0; i < bsz; i++) {
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for (int j = 0; j < K + 1; j++) {
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const int64_t offset = i * (K + 1) + j;
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if (j == 0) {
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msg_sed.mtext[offset + 2] = (int)x_data[i];
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msg_sed.mtext_f[offset] = logprob_scores_data[i * max_num_logprobs + j];
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} else if (j < max_num_logprobs) {
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msg_sed.mtext[offset + 2] =
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(int)logprob_token_ids_data[i * max_num_logprobs + j];
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msg_sed.mtext_f[offset] = logprob_scores_data[i * max_num_logprobs + j];
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} else {
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msg_sed.mtext[offset + 2] = -1;
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msg_sed.mtext_f[offset] = 0.0;
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}
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if (preempted_idx_data[i] == 1) {
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msg_sed.mtext[offset + 2] = -9;
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}
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}
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msg_sed.mtext_ranks[i] = (int)ranks_data[i];
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}
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#ifdef SAVE_WITH_OUTPUT_DEBUG
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std::cout << "msg data: ";
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for (int i = 0; i < bsz; i++) {
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std::cout << " " << (int)x_data[i];
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}
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std::cout << std::endl;
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#endif
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if ((msgsnd(
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msgid,
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&msg_sed,
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(MAX_BSZ * (K + 1) + 2) * 4 + (MAX_BSZ * (K + 1)) * 4 + MAX_BSZ * 4,
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0)) == -1) {
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printf("full msg buffer\n");
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}
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return;
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}
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PD_BUILD_STATIC_OP(save_output_topk)
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.Inputs({"x", "topk_ids", "logprob_scores", "ranks", "not_need_stop"})
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.Inputs({"x",
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"topk_ids",
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"logprob_scores",
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"ranks",
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"not_need_stop",
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"preempted_idx"})
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.Attrs({"rank_id: int64_t"})
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.Outputs({"x_out"})
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.SetInplaceMap({{"x", "x_out"}})
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