[LLM] First commit the llm deployment code

custom_ops/gpu_ops/speculate_decoding/speculate_save_output.cc

@@ -0,0 +1,163 @@
+// Copyright (c) 2024 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 512
+#define MAX_DRAFT_TOKENS 6
+
+struct msgdata {
+    long mtype;
+    int mtext[MAX_BSZ * MAX_DRAFT_TOKENS + MAX_BSZ +
+              2];  // stop_flag, bsz, tokens
+};
+
+void SpeculateSaveWithOutputMsg(const paddle::Tensor& accept_tokens,
+                                const paddle::Tensor& accept_num,
+                                const paddle::Tensor& not_need_stop,
+                                int64_t rank_id,
+                                int msg_queue_id,
+                                int save_each_rank) {
+    // 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>();
+
+    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 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) {
+            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");
+    }
+    return;
+}
+
+void SpeculateSaveWithOutputMsgStatic(const paddle::Tensor& accept_tokens,
+                                      const paddle::Tensor& accept_num,
+                                      const paddle::Tensor& not_need_stop,
+                                      int64_t rank_id,
+                                      bool save_each_rank) {
+    SpeculateSaveWithOutputMsg(
+        accept_tokens, accept_num, not_need_stop, rank_id, 1, save_each_rank);
+}
+
+void SpeculateSaveWithOutputMsgDynamic(const paddle::Tensor& accept_tokens,
+                                       const paddle::Tensor& accept_num,
+                                       const paddle::Tensor& not_need_stop,
+                                       int64_t rank_id,
+                                       int msg_queue_id,
+                                       bool save_each_rank) {
+    SpeculateSaveWithOutputMsg(
+        accept_tokens, accept_num, not_need_stop, rank_id, msg_queue_id, save_each_rank);
+}
+
+PD_BUILD_STATIC_OP(speculate_save_output)
+    .Inputs({"accept_tokens", "accept_num", "not_need_stop"})
+    .Attrs({"rank_id: int64_t", "save_each_rank: 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"})
+    .Attrs({"rank_id: int64_t", "msg_queue_id: int", "save_each_rank: bool"})
+    .Outputs({"x_out"})
+    .SetInplaceMap({{"accept_tokens", "x_out"}})
+    .SetKernelFn(PD_KERNEL(SpeculateSaveWithOutputMsgDynamic));