[LLM] First commit the llm deployment code

custom_ops/gpu_ops/save_output_msg_with_topk.cc

@@ -0,0 +1,146 @@
+// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include <stdio.h>
+#include <string.h>
+#include <sys/ipc.h>
+#include <sys/msg.h>
+#include <sys/types.h>
+#include "paddle/extension.h"
+
+#ifndef PD_BUILD_STATIC_OP
+#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
+#endif
+
+#define MAX_BSZ 128
+#define K 10
+// #define SAVE_WITH_OUTPUT_DEBUG
+
+struct msgdata {
+    long mtype;
+    int mtext[MAX_BSZ * (K + 1) + 2];  // stop_flag, bsz, tokens
+    float mtext_f[MAX_BSZ * (K + 1)];  // score
+};
+
+void SaveOutMmsgTopK(const paddle::Tensor& x,
+                     const paddle::Tensor& scores,
+                     const paddle::Tensor& topk_ids,
+                     const paddle::Tensor& topk_scores,  // [bsz, k]
+                     const paddle::Tensor& not_need_stop,
+                     int k,
+                     int64_t rank_id) {
+    if (rank_id > 0) {
+        return;
+    }
+    auto x_cpu = x.copy_to(paddle::CPUPlace(), false);
+    auto scores_cpu = scores.copy_to(paddle::CPUPlace(), false);
+    auto topk_ids_cpu = topk_ids.copy_to(paddle::CPUPlace(), false);
+    auto topk_scores_cpu = topk_scores.copy_to(paddle::CPUPlace(), false);
+    int64_t* x_data = x_cpu.data<int64_t>();
+    float* scores_data = scores_cpu.data<float>();
+    int64_t* topk_ids_data = topk_ids_cpu.data<int64_t>();
+    float* topk_scores_data = topk_scores_cpu.data<float>();
+    static struct msgdata msg_sed;
+    int msg_queue_id = 1;
+    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);
+        msg_queue_id = inference_msg_queue_id_from_env;
+#ifdef SAVE_WITH_OUTPUT_DEBUG
+        std::cout << "Your INFERENCE_MSG_QUEUE_ID is: "
+                  << inference_msg_queue_id_from_env << std::endl;
+#endif
+    } else {
+#ifdef SAVE_WITH_OUTPUT_DEBUG
+        std::cout << "Failed to got INFERENCE_MSG_QUEUE_ID at env, use default."
+                  << std::endl;
+#endif
+    }
+    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 perserve 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
+    }
+    static key_t key = ftok("/dev/shm", msg_queue_id);
+    static int msgid = msgget(key, IPC_CREAT | 0666);
+#ifdef SAVE_WITH_OUTPUT_DEBUG
+    std::cout << "save_output_key: " << key << std::endl;
+    std::cout << "save msgid: " << msgid << std::endl;
+#endif
+    msg_sed.mtype = 1;
+    bool not_need_stop_data = not_need_stop.data<bool>()[0];
+    msg_sed.mtext[0] = not_need_stop_data ? inference_msg_id_from_env
+                                          : -inference_msg_id_from_env;
+    int bsz = x.shape()[0];
+    msg_sed.mtext[1] = bsz;
+    for (int i = 0; i < bsz; i++) {
+        for (int j = 0; j < k + 1; j++) {
+            const int64_t offset = i * (K + 1) + j;
+            if (j == 0) {
+                msg_sed.mtext[offset + 2] = (int)x_data[i];
+                msg_sed.mtext_f[offset] = scores_data[i];
+            } else if (j <= k + 1) {
+                msg_sed.mtext[offset + 2] = (int)topk_ids_data[i * k + j - 1];
+                msg_sed.mtext_f[offset] = topk_scores_data[i * k + j - 1];
+            } else {
+                msg_sed.mtext[offset + 2] = -1;
+                msg_sed.mtext_f[offset] = 0.0;
+            }
+        }
+    }
+#ifdef SAVE_WITH_OUTPUT_DEBUG
+    std::cout << "msg data: ";
+    for (int i = 0; i < bsz; i++) {
+        std::cout << " " << (int)x_data[i];
+    }
+    std::cout << std::endl;
+#endif
+    if ((msgsnd(msgid,
+                &msg_sed,
+                (MAX_BSZ * (K + 1) + 2) * 4 + (MAX_BSZ * (K + 1)) * 4,
+                0)) == -1) {
+        printf("full msg buffer\n");
+    }
+    return;
+}
+
+PD_BUILD_STATIC_OP(save_output_topk)
+    .Inputs({"x", "scores", "topk_ids", "topk_scores", "not_need_stop"})
+    .Attrs({"k: int", "rank_id: int64_t"})
+    .Outputs({"x_out"})
+    .SetInplaceMap({{"x", "x_out"}})
+    .SetKernelFn(PD_KERNEL(SaveOutMmsgTopK));