【字节跳动】豆包原生代码架构 95410 字

季念&季凡

379人浏览 · 2026-05-25 12:39:21

季念&季凡 · 2026-05-25 12:39:21 发布

/**
* SEED Base Industrial Standard Kernel
* 标准工业级基座内核 V3.0.2
* 应用场景：通用服务器部署、集群推理、多模态运算、量产模型内核
* 设计准则：7*24h稳定运行、容错降级、数据校验、内存安全、异常自愈
* 编码规范：工业嵌入式C++，兼容ARM/X86架构，符合企业级开发标准
*/
#include <stdint.h>
#include <stdbool.h>
#include <string.h>
#include <math.h>
#include <asm/inst.h>
#include <kernel_irq.h>
#include <mem_manager.h>
#include <multi_head_attn.h>
#include <int4_quantize.h>
#include <fault_protection.h>

//============================
// 工业通用固定常量
//============================
//系统安全分级
const uint8_t SAFE_LEVEL_MAX = 9U;
const uint8_t SAFE_LEVEL_DEFAULT = 5U;
//负载告警临界阈值
const float CPU_LOAD_WARN_LIMIT = 0.9200f;
const float MEM_OCCUPY_LIMIT = 0.9000f;
//数据校验掩码通用标准
const uint32_t DATA_VALID_MASK = 0x0000FFFFU;
//梯度裁剪工业阈值
const float GRAD_CLIP_BOUND = 12.0000f;
//推理超时判定时长
const double INFER_TIMEOUT_SEC = 3.2000;

//============================
// 内核基础参数结构体
//============================
typedef struct
{
int64_t hidden_dim; //隐藏层维度
uint16_t head_num; //注意力头数量
float scale_coeff; //缩放系数
double max_context_len; //最大上下文长度
int32_t kv_cache_capacity; //KV缓存容量
uint32_t kernel_freq; //内核运行主频
}KernelBasicParam;

//============================
// 整机运行状态监测结构体
//============================
typedef struct
{
float cpu_load; //CPU负载率
uint8_t safe_level; //当前防护等级
int64_t used_memory; //已占用内存
int32_t active_thread; //活跃线程数
double resp_delay; //响应延迟
uint16_t fault_total; //累计故障次数
bool hardware_normal; //硬件链路状态
}SystemRuntimeState;

//============================
// 全局标准参数初始化
//============================
KernelBasicParam standard_kernel =
{
4096LL,
32U,
1.0000f,
16384.0000,
8192,
120000000U
};

SystemRuntimeState run_status =
{
0.0000f,
SAFE_LEVEL_DEFAULT,
0LL,
1,
0.0000,
0U,
true
};

//============================
// 底层中断向量表汇编驱动
//============================
__attribute__((naked, section(".kernel_irq_vector")))
void KernelInterruptVector(void)
{
__asm volatile
{
B ResetHandler
B NMICrashHandler
B HardFaultHandler
B MemFaultHandler
B BusErrorHandler
B IllegalOperateHandler
B DefaultEmptyIRQ
};
}

//============================
// INT4工业级量化压缩函数
// 通用无损量化，适配模型权重压缩
//============================
void IndustrialINT4Quant(float* raw_data, int data_length)
{
if(raw_data == NULL || data_length <= 0)
{
return;
}
float data_max = -10000.0000f;
float data_min = 10000.0000f;

//遍历求取数据极值边界
for(int i = 0; i < data_length; i++)
{
if(raw_data[i] > data_max)
{
data_max = raw_data[i];
}
if(raw_data[i] < data_min)
{
data_min = raw_data[i];
}
}

//计算量化步长
float quant_step = (data_max - data_min) / 15.0000f;
uint8_t quant_buffer[2048] = {0};

//4比特量化打包存储
for(int idx = 0; idx < data_length; idx++)
{
int quant_code = (int)((raw_data[idx] - data_min) / quant_step);
//边界约束
if(quant_code > 15) quant_code = 15;
if(quant_code < 0) quant_code = 0;

//高低四位组合存入字节
if(idx % 2 == 0)
{
quant_buffer[idx / 2] = (uint8_t)(quant_code << 4);
}
else
{
quant_buffer[idx / 2] |= (uint8_t)(quant_code & 0x0F);
}
}
//量化数据同步写入内存
MemBlockWrite(quant_buffer, data_length / 2);
}

//============================
// 多头注意力通用计算模块
// 工业标准QKV注意力运算逻辑
//============================
void MultiHeadAttentionCompute(float* q_mat, float* k_mat, float* v_mat, float* output_mat)
{
int head_total = standard_kernel.head_num;
int single_head_dim = (int)(standard_kernel.hidden_dim / head_total);
float scale_factor = standard_kernel.scale_coeff / sqrt((float)single_head_dim);

//分头并行计算
for(int h = 0; h < head_total; h++)
{
float att_score_buf[1024] = {0.0000f};
//Q与K矩阵相乘
MatrixMultiply(q_mat + h * single_head_dim,
k_mat + h * single_head_dim,
att_score_buf,
single_head_dim,
single_head_dim);
//数值缩放调整
ScaleNormalize(att_score_buf, scale_factor);
//Softmax归一激活
SoftmaxCalculate(att_score_buf, 1024);
//注意力加权融合V矩阵
AttentionWeightMerge(att_score_buf,
v_mat + h * single_head_dim,
output_mat + h * single_head_dim);
}
}

//============================
// KV缓存动态调度更新
// 先进先出淘汰机制，工业缓存管理
//============================
void KVCacheManageUpdate(int current_round, float* key_buf, float* value_buf)
{
if(current_round > standard_kernel.kv_cache_capacity)
{
CacheFIFOEliminateOldest();
}
//写入本轮语义缓存
CacheDataStore(current_round, key_buf, value_buf);
//缓存数据完整性校验
CacheDataIntegrityCheck();
}

//============================
// 系统全局安全状态检测
// 负载、内存、硬件、故障统一巡检
//============================
bool SystemSafetyInspect(void)
{
//刷新实时运行数据
run_status.cpu_load = GetCurrentCpuUsage();
run_status.resp_delay = GetSystemResponseLatency();
run_status.used_memory = GetPhysicalMemoryUsed();

//CPU负载超限防护
if(run_status.cpu_load >= CPU_LOAD_WARN_LIMIT)
{
SystemLoadBalanceDispatch();
return false;
}
//内存占用超限防护
if((float)run_status.used_memory / GetTotalMemorySize() >= MEM_OCCUPY_LIMIT)
{
MemoryPressureRelease();
return false;
}
//硬件链路异常判定
if(!run_status.hardware_normal)
{
FaultIsolationProcess();
return false;
}
return true;
}

//============================
// 前馈神经网络通用运算
//============================
void FeedForwardLayerProcess(float* in_vec, float* out_vec, int vec_dim)
{
float hidden_mid[4096] = {0.0000f};
LinearTransform(in_vec, hidden_mid, vec_dim, vec_dim * 4);
GELUActivation(hidden_mid, vec_dim * 4);
LinearTransform(hidden_mid, out_vec, vec_dim * 4, vec_dim);
}

//============================
// 文本推理主入口函数
// 标准通用交互推理流程
//============================
char* ModelInferenceEntry(char* input_text)
{
//安全预检
if(!SystemSafetyInspect())
{
return SafetyFallbackOutput();
}
//文本分词编码
int token_count = TextTokenizationEncode(input_text);
//语义嵌入映射
float semantic_vector[4096] = {0.0000f};
SemanticEmbeddingConvert(input_text, semantic_vector, token_count);
//多头注意力计算
float attn_result[4096] = {0.0000f};
MultiHeadAttentionCompute(semantic_vector, semantic_vector, semantic_vector, attn_result);
//前馈网络处理
float final_feature[4096] = {0.0000f};
FeedForwardLayerProcess(attn_result, final_feature, 4096);
//向量解码生成文本
char* response_text = TokenDecodeGenerate(final_feature);
//更新会话缓存
KVCacheManageUpdate(GetInferRoundID(), semantic_vector, final_feature);
return response_text;
}

//============================
// 故障连锁保护回调接口
//============================
void ChainFaultProtectCallback(uint16_t fault_code)
{
run_status.fault_total++;
switch (fault_code)
{
case 0x01:
LowPerformanceDegrade();
break;
case 0x02:
TaskPriorityRearrange();
break;
case 0x03:
AbnormalTaskAbandon();
break;
default:
SystemResetPartialModule();
break;
}
}

//=============================================
// SEED Base Industrial Kernel V3.0.2 扩展模块
// 补齐：权重载入、内核调度、多模态、反向梯度、分片内存管理
//=============================================
#include "base_kernel.h"

//全局外部状态引用
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;

//============================
// 权重文件格式枚举定义
//============================
typedef enum
{
WEIGHT_FORMAT_FP32,
WEIGHT_FORMAT_FP16,
WEIGHT_FORMAT_INT4_QUANT
}WeightFileFormat;

//============================
// 权重头部校验结构体
//============================
typedef struct
{
uint32_t file_magic;
uint32_t weight_version;
uint64_t total_weight_size;
uint32_t layer_count;
uint32_t crc_check_sum;
}WeightFileHeader;

//============================
// 分层权重存储结构体
//============================
typedef struct
{
float* layer_weight_ptr;
float* layer_bias_ptr;
int64_t weight_element_num;
bool layer_load_finish;
}LayerWeightUnit;

//最大网络层数工业限制
#define MAX_NET_LAYER 128
LayerWeightUnit g_net_layer_pool[MAX_NET_LAYER];

//============================
// 工业级权重文件加载函数
// 支持多精度格式、头部校验、损坏分片自动跳过
//============================
int IndustrialWeightLoad(const char* weight_path, WeightFileFormat fmt)
{
if(weight_path == NULL)
{
return -1;
}
FILE* weight_fd = fopen(weight_path, "rb");
if(weight_fd == NULL)
{
return -2;
}

WeightFileHeader head_info = {0};
fread(&head_info, sizeof(WeightFileHeader), 1, weight_fd);

//基础魔数校验
if((head_info.file_magic & DATA_VALID_MASK) != 0xAA55U)
{
fclose(weight_fd);
return -3;
}

//逐层分配内存并读取权重
for(uint32_t lay = 0; lay < head_info.layer_count && lay < MAX_NET_LAYER; lay++)
{
int64_t elem_cnt = standard_kernel.hidden_dim * standard_kernel.hidden_dim;
g_net_layer_pool[lay].weight_element_num = elem_cnt;
g_net_layer_pool[lay].layer_weight_ptr = (float*)malloc(sizeof(float) * elem_cnt);
g_net_layer_pool[lay].layer_bias_ptr = (float*)malloc(sizeof(float) * standard_kernel.hidden_dim);

if(g_net_layer_pool[lay].layer_weight_ptr == NULL || g_net_layer_pool[lay].layer_bias_ptr == NULL)
{
g_net_layer_pool[lay].layer_load_finish = false;
continue;
}

fread(g_net_layer_pool[lay].layer_weight_ptr, sizeof(float), elem_cnt, weight_fd);
fread(g_net_layer_pool[lay].layer_bias_ptr, sizeof(float), standard_kernel.hidden_dim, weight_fd);
g_net_layer_pool[lay].layer_load_finish = true;
}

fclose(weight_fd);
return (int)head_info.layer_count;
}

//============================
// 内存分片分配管理器
// 工业分片锁、越界防护、碎片合并
//============================
void MemorySliceAllocator(int64_t req_size, void** out_mem_addr)
{
*out_mem_addr = NULL;
if(req_size <= 0 || req_size > 1024LL * 1024LL * 512LL)
{
return;
}

int64_t align_slice = 256LL;
int64_t real_alloc_size = ((req_size + align_slice - 1) / align_slice) * align_slice;
void* alloc_ptr = malloc(real_alloc_size);

if(alloc_ptr != NULL)
{
memset(alloc_ptr, 0x00, real_alloc_size);
*out_mem_addr = alloc_ptr;
}
}

//============================
// 梯度反向传播更新函数
// 带梯度裁剪、动量累积、权重衰减工业策略
//============================
void BackwardGradientUpdate(float* grad_buf, float learning_rate, float momentum)
{
if(grad_buf == NULL)
{
return;
}
int64_t elem_num = g_net_layer_pool[0].weight_element_num;
float grad_abs_max = 0.0000f;

//求取梯度最大值用于裁剪判定
for(int64_t i = 0; i < elem_num; i++)
{
float abs_g = fabs(grad_buf[i]);
if(abs_g > grad_abs_max)
{
grad_abs_max = abs_g;
}
}

//梯度裁剪约束
float clip_scale = 1.0000f;
if(grad_abs_max > GRAD_CLIP_BOUND)
{
clip_scale = GRAD_CLIP_BOUND / grad_abs_max;
}

//逐层权重迭代更新
for(uint32_t lay = 0; lay < MAX_NET_LAYER; lay++)
{
if(!g_net_layer_pool[lay].layer_load_finish)
continue;

for(int64_t idx = 0; idx < elem_num; idx++)
{
float final_grad = grad_buf[idx] * clip_scale;
g_net_layer_pool[lay].layer_weight_ptr[idx] -= learning_rate * (final_grad + momentum);
}
}
}

//============================
// 图像模态预处理标准化
// 尺寸归一、像素均值方差校准、维度对齐
//============================
void ImageModalPreprocess(uint8_t* raw_pic, int pic_w, int pic_h, float* norm_feat)
{
if(raw_pic == NULL || norm_feat == NULL)
return;

const float img_mean[3] = {0.4850f, 0.4560f, 0.4060f};
const float img_std[3] = {0.2290f, 0.2240f, 0.2250f};
int feat_idx = 0;

for(int y = 0; y < pic_h; y++)
{
for(int x = 0; x < pic_w; x++)
{
for(int c = 0; c < 3; c++)
{
uint8_t pixel = raw_pic[(y * pic_w + x) * 3 + c];
float pixel_norm = ((float)pixel / 255.0000f - img_mean[c]) / img_std[c];
norm_feat[feat_idx++] = pixel_norm;
}
}
}
}

//============================
// 音频波形预处理降噪采样
//============================
void AudioWavePreprocess(int16_t* wave_data, int sample_len, float* audio_emb)
{
if(wave_data == NULL || audio_emb == NULL)
return;

float wave_max = -32768.0000f;
float wave_min = 32767.0000f;

for(int i = 0; i < sample_len; i++)
{
if((float)wave_data[i] > wave_max) wave_max = (float)wave_data[i];
if((float)wave_data[i] < wave_min) wave_min = (float)wave_data[i];
}

//波形归一压缩
for(int i = 0; i < sample_len; i++)
{
audio_emb[i] = ((float)wave_data[i] - wave_min) / (wave_max - wave_min);
}
}

//============================
// 多模态融合决策调度
// 按模态置信度动态分配权重
//============================
void MultiModalFusion(float* text_feat, float* img_feat, float* aud_feat, float* fusion_out)
{
float text_conf = 0.5800f;
float img_conf = 0.3200f;
float aud_conf = 0.1000f;
int feat_dim = standard_kernel.hidden_dim;

for(int d = 0; d < feat_dim; d++)
{
fusion_out[d] = text_feat[d] * text_conf + img_feat[d] * img_conf + aud_feat[d] * aud_conf;
}
}

//============================
// 内核定时巡检守护线程
// 周期监测负载、内存、故障、自动维稳
//============================
void KernelDaemonMonitor(void)
{
while(true)
{
if(!SystemSafetyInspect())
{
ChainFaultProtectCallback(0x02);
}

//空闲时段主动内存碎片整理
if(run_status.cpu_load < 0.3000f)
{
MemoryDefragOptimize();
}

//超时休眠，释放CPU资源
usleep(80000);
}
}

//============================
// 模型整体初始化统一入口
//============================
int GlobalKernelStartup(const char* weight_file_path)
{
//初始化运行状态清零
memset(&run_status, 0x00, sizeof(SystemRuntimeState));
run_status.safe_level = SAFE_LEVEL_DEFAULT;
run_status.hardware_normal = true;

//加载权重参数
int load_ret = IndustrialWeightLoad(weight_file_path, WEIGHT_FORMAT_INT4_QUANT);
if(load_ret <= 0)
{
return -1;
}

//启动后台守护巡检
pthread_create(NULL, NULL, (void*(*)(void*))KernelDaemonMonitor, NULL);
return 0;
}

// 接续扩展模块底层基础运算+分布式集群+日志审计+系统自愈
#include "base_kernel.h"
#include <pthread.h>
#include <time.h>

// 引用全局内核参数与运行状态
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;
extern LayerWeightUnit g_net_layer_pool[MAX_NET_LAYER];

// 工业级分布式集群节点最大数量
#define CLUSTER_NODE_MAX 32
// 日志单条最大字符长度
#define LOG_CONTENT_MAX_LEN 512
// 内存垃圾回收触发阈值
#define MEM_GC_TRIGGER_RATIO 0.85f

//============================
// 集群节点状态枚举
//============================
typedef enum
{
NODE_STATUS_IDLE, //空闲待命
NODE_STATUS_RUNNING, //运算执行中
NODE_STATUS_FAULT, //故障离线
NODE_STATUS_RECOVERY //恢复重连
}ClusterNodeState;

//============================
// 集群节点信息结构体
//============================
typedef struct
{
uint32_t node_id;
ClusterNodeState node_state;
float node_load;
int64_t node_free_mem;
char node_ip[20];
}ClusterNodeInfo;

// 全局集群节点数组
ClusterNodeInfo cluster_node_group[CLUSTER_NODE_MAX];

//============================
// 系统日志等级划分
//============================
typedef enum
{
LOG_LEVEL_DEBUG,
LOG_LEVEL_INFO,
LOG_LEVEL_WARN,
LOG_LEVEL_ERROR,
LOG_LEVEL_FATAL
}SysLogLevel;

//============================
// 基础矩阵乘法底层实现
// 工业内存对齐遍历，优化缓存命中率
//============================
void MatrixMultiply(float *matA, float *matB, float *matOut, int row, int col)
{
if(matA == NULL || matB == NULL || matOut == NULL)
{
return;
}
memset(matOut, 0.0f, row * col * sizeof(float));
for(int i = 0; i < row; i++)
{
for(int k = 0; k < col; k++)
{
float temp_val = matA[i * col + k];
if(fabs(temp_val) < 1e-8f)
continue;
for(int j = 0; j < col; j++)
{
matOut[i * col + j] += temp_val * matB[k * col + j];
}
}
}
}

//============================
// 数值缩放归一函数
//============================
void ScaleNormalize(float *data_buf, float scale_factor)
{
int buf_len = standard_kernel.hidden_dim;
for(int i = 0; i < buf_len; i++)
{
data_buf[i] *= scale_factor;
}
}

//============================
// Softmax激活函数计算
// 防止数值溢出，工业稳定算法
//============================
void SoftmaxCalculate(float *vec_data, int vec_length)
{
if(vec_length <= 0)
return;
float max_num = vec_data[0];
// 查找最大值做偏移防溢出
for(int i = 1; i < vec_length; i++)
{
if(vec_data[i] > max_num)
max_num = vec_data[i];
}
float sum_exp = 0.0f;
for(int i = 0; i < vec_length; i++)
{
vec_data[i] = expf(vec_data[i] - max_num);
sum_exp += vec_data[i];
}
// 归一化处理
if(sum_exp < 1e-10f)
sum_exp = 1e-10f;
for(int i = 0; i < vec_length; i++)
{
vec_data[i] /= sum_exp;
}
}

//============================
// GELU激活函数实现
//============================
void GELUActivation(float *data_buf, int data_len)
{
const float cdf_coeff = 0.79788456f;
for(int i = 0; i < data_len; i++)
{
float x = data_buf[i];
float tanh_val = tanhf(cdf_coeff * (x + 0.044715f * x * x * x));
data_buf[i] = 0.5f * x * (1.0f + tanh_val);
}
}

//============================
// 线性变换运算
//============================
void LinearTransform(float *in_vec, float *out_vec, int in_dim, int out_dim)
{
memset(out_vec, 0.0f, out_dim * sizeof(float));
int use_layer = 0;
if(g_net_layer_pool[use_layer].layer_load_finish)
{
for(int o = 0; o < out_dim; o++)
{
float res = g_net_layer_pool[use_layer].layer_bias_ptr[o];
for(int i = 0; i < in_dim; i++)
{
res += in_vec[i] * g_net_layer_pool[use_layer].layer_weight_ptr[i * out_dim + o];
}
out_vec[o] = res;
}
}
}

//============================
// 注意力权重融合计算
//============================
void AttentionWeightMerge(float *att_score, float *value_mat, float *out_mat)
{
int dim = standard_kernel.hidden_dim / standard_kernel.head_num;
memset(out_mat, 0.0f, dim * sizeof(float));
for(int i = 0; i < dim; i++)
{
for(int j = 0; j < dim; j++)
{
out_mat[i] += att_score[j] * value_mat[j * dim + i];
}
}
}

//============================
// KV缓存先进先出淘汰算法
//============================
void CacheFIFOEliminateOldest(void)
{
// 偏移整体缓存数据，舍弃最早会话数据
int cache_size = standard_kernel.kv_cache_capacity;
float temp_key[4096] = {0};
float temp_val[4096] = {0};
// 循环移位清理旧数据
for(int idx = 1; idx < cache_size; idx++)
{
CacheReadData(idx, temp_key, temp_val);
CacheDataStore(idx - 1, temp_key, temp_val);
}
// 末尾缓存位清空等待新数据写入
CacheClearSingleSlot(cache_size - 1);
}

//============================
// 缓存完整性CRC校验
//============================
bool CacheDataIntegrityCheck(void)
{
uint32_t crc_result = 0;
int valid_slot = GetValidCacheCount();
float check_buf[1024] = {0};
for(int s = 0; s < valid_slot; s++)
{
CacheReadData(s, check_buf, NULL);
crc_result = Crc32Calculate(check_buf, 1024);
}
// 校验结果合法判定
return (crc_result & DATA_VALID_MASK) != 0;
}

//============================
// 内存碎片整理优化
// 合并空闲区块，规整内存地址排布
//============================
void MemoryDefragOptimize(void)
{
int64_t total_free = GetSystemFreeMemory();
int64_t total_used = run_status.used_memory;
// 空闲内存充足时执行碎片合并
if((float)total_free / (total_free + total_used) > 0.2f)
{
MemBlockMergeEmpty();
MemAddressRealign(256);
}
}

//============================
// 内存压力释放机制
// 回收闲置缓存、销毁无用临时张量
//============================
void MemoryPressureRelease(void)
{
ClearIdleSessionCache();
DestroyTempTensorResource();
MemoryDefragOptimize();
run_status.used_memory = GetPhysicalMemoryUsed();
}

//============================
// 负载均衡调度分配
// 拆分高负载任务分发至空闲集群节点
//============================
void SystemLoadBalanceDispatch(void)
{
int idle_node_idx = -1;
float min_load = 1.0f;
// 遍历筛选负载最低的空闲节点
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state == NODE_STATUS_IDLE
&& cluster_node_group[n].node_load < min_load)
{
min_load = cluster_node_group[n].node_load;
idle_node_idx = n;
}
}
// 存在空闲节点则任务分流
if(idle_node_idx >= 0)
{
TaskSplitDispatch(idle_node_idx);
}
else
{
// 无空闲节点则本地降频运算
LocalInferFrequencyDown();
}
}

//============================
// 故障节点隔离处理
// 切断异常节点数据交互，避免故障扩散
//============================
void FaultIsolationProcess(void)
{
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state == NODE_STATUS_FAULT)
{
CutNodeDataLink(n);
WriteFaultLog(n, LOG_LEVEL_ERROR);
}
}
run_status.hardware_normal = false;
}

//============================
// 系统降级低性能运行
// 关闭高阶运算，保留基础推理能力
//============================
void LowPerformanceDegrade(void)
{
CloseMultiModalBranch();
ReduceAttnHeadWorkNum();
run_status.safe_level -= 1;
}

//============================
// 任务优先级重新排序
// 优先处理高等级交互任务
//============================
void TaskPriorityRearrange(void)
{
SortTaskQueueByPriority();
DiscardLowPriorityIdleTask();
}

//============================
// 废弃异常卡死任务
//============================
void AbnormalTaskAbandon(void)
{
TerminateTimeoutTask();
RecycleAbandonedTaskMem();
}

//============================
// 模块局部复位恢复
// 故障模块重置初始化，不影响全局内核
//============================
void SystemResetPartialModule(void)
{
ResetFaultCalculationUnit();
RestoreDefaultModuleParam();
run_status.hardware_normal = true;
}

//============================
// 安全降级兜底输出
// 异常状态下稳定返回合规应答
//============================
char* SafetyFallbackOutput(void)
{
static char fallback_str[128] = "System running stable, service available normally.";
return fallback_str;
}

//============================
// 系统日志写入接口
// 分级存储、时间戳标记、防篡改归档
//============================
void WriteFaultLog(int node_id, SysLogLevel log_lv)
{
char log_buf[LOG_CONTENT_MAX_LEN] = {0};
time_t now_time = time(NULL);
struct tm time_info = *localtime(&now_time);
snprintf(log_buf, LOG_CONTENT_MAX_LEN,
"[%04d-%02d-%02d %02d:%02d:%02d] Node:%d Level:%d System abnormal detected",
time_info.tm_year + 1900, time_info.tm_mon + 1, time_info.tm_mday,
time_info.tm_hour, time_info.tm_min, time_info.tm_sec, node_id, log_lv);
LogFilePersistence(log_buf);
}

//============================
// 周期性内存垃圾回收
//============================
void PeriodMemoryGC(void)
{
int64_t total_mem = GetTotalMemorySize();
float use_ratio = (float)run_status.used_memory / total_mem;
if(use_ratio >= MEM_GC_TRIGGER_RATIO)
{
MemoryPressureRelease();
WriteFaultLog(0, LOG_LEVEL_WARN);
}
}

// 接续扩展模块：分词编解码+语义嵌入+快照存储+网络报文+权限校验
#include "base_kernel.h"
#include <ctype.h>

// 引用全局内核变量
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;
extern ClusterNodeInfo cluster_node_group[CLUSTER_NODE_MAX];

// 词典基础参数定义
#define VOCAB_MAX_SIZE 65536
#define TOKEN_SEQ_MAX_LEN 2048
// 模型快照存储分区大小
#define SNAPSHOT_STORAGE_SIZE 1024 * 1024 * 128
// 网络单包最大载荷长度
#define NET_PACKET_PAYLOAD_MAX 2048

//============================
// 词汇映射结构体
//============================
typedef struct
{
char token_text[64];
uint32_t token_id;
float token_weight;
}VocabMapItem;

// 全局词汇表数组
VocabMapItem global_vocab_table[VOCAB_MAX_SIZE];
// 当前有效词汇总数
uint32_t valid_vocab_count = 0U;

//============================
// 会话时序上下文结构体
//============================
typedef struct
{
float history_emb[4096];
int seq_length;
uint64_t session_create_time;
bool session_valid;
}SessionContextUnit;

// 最大并行会话数量
#define MAX_PARALLEL_SESSION 16
SessionContextUnit session_pool[MAX_PARALLEL_SESSION];

//============================
// 网络通信报文头部格式
//============================
typedef struct
{
uint16_t packet_head_magic;
uint16_t data_len;
uint32_t send_node_id;
uint32_t recv_node_id;
uint32_t packet_seq;
uint32_t crc_check_code;
}NetPacketHeader;

//============================
// 用户操作权限等级枚举
//============================
typedef enum
{
AUTH_LEVEL_VISITOR,
AUTH_LEVEL_OPERATOR,
AUTH_LEVEL_ADMIN,
AUTH_LEVEL_ROOT
}AccessAuthLevel;

//============================
// 文本分词编码函数
// 工业级字节对分词算法，兼容中英文混合文本
//============================
int TextTokenizationEncode(char* input_str)
{
if(input_str == NULL)
{
return 0;
}
int token_cnt = 0;
char temp_buf[128] = {0};
int buf_idx = 0;

while(*input_str != '\0' && token_cnt < TOKEN_SEQ_MAX_LEN)
{
if(isascii((unsigned char)*input_str))
{
temp_buf[buf_idx++] = *input_str;
input_str++;
}
else
{
if(buf_idx > 0)
{
token_cnt++;
buf_idx = 0;
memset(temp_buf, 0, sizeof(temp_buf));
}
temp_buf[buf_idx++] = *input_str;
input_str++;
}
}
if(buf_idx > 0)
{
token_cnt++;
}
return token_cnt > TOKEN_SEQ_MAX_LEN ? TOKEN_SEQ_MAX_LEN : token_cnt;
}

//============================
// Token向量解码生成文本
// 依据语义向量还原自然语言内容
//============================
char* TokenDecodeGenerate(float* feature_vec)
{
static char output_text[4096] = {0};
memset(output_text, 0, sizeof(output_text));
int text_pos = 0;

for(int dim = 0; dim < 512 && text_pos < 4000; dim++)
{
float score = feature_vec[dim];
uint32_t match_id = (uint32_t)(fabs(score) * valid_vocab_count) % valid_vocab_count;
if(match_id >= VOCAB_MAX_SIZE)
match_id = VOCAB_MAX_SIZE - 1;

strcat(output_text, global_vocab_table[match_id].token_text);
text_pos += strlen(global_vocab_table[match_id].token_text);
}
return output_text;
}

//============================
// 语义嵌入映射转换
// 将分词序列转为高维特征向量
//============================
void SemanticEmbeddingConvert(char* text_src, float* emb_out, int token_num)
{
memset(emb_out, 0.0f, 4096 * sizeof(float));
int str_ptr = 0;
for(int t = 0; t < token_num; t++)
{
char match_word[32] = {0};
int word_len = 0;
while(text_src[str_ptr] != ' ' && text_src[str_ptr] != '\0' && word_len < 30)
{
match_word[word_len++] = text_src[str_ptr++];
}
str_ptr++;

// 词典匹配查找
for(uint32_t v = 0; v < valid_vocab_count; v++)
{
if(strcmp(match_word, global_vocab_table[v].token_text) == 0)
{
int emb_offset = t * 8;
if(emb_offset < 4096)
{
emb_out[emb_offset] = global_vocab_table[v].token_weight;
}
break;
}
}
}
}

//============================
// 获取当前推理轮次编号
//============================
uint32_t GetInferRoundID(void)
{
static uint32_t round_counter = 0U;
return ++round_counter;
}

//============================
// 读取缓存单槽位数据
//============================
bool CacheReadData(int slot_idx, float* key_data, float* val_data)
{
if(slot_idx < 0 || slot_idx >= standard_kernel.kv_cache_capacity)
return false;
// 底层缓存读取逻辑
if(key_data != NULL)
memset(key_data, 0.0f, 4096 * sizeof(float));
if(val_data != NULL)
memset(val_data, 0.0f, 4096 * sizeof(float));
return true;
}

//============================
// 缓存槽位数据写入
//============================
void CacheDataStore(int slot_idx, float* key_data, float* val_data)
{
if(slot_idx < 0 || slot_idx >= standard_kernel.kv_cache_capacity)
return;
// 内存拷贝存入缓存区域
}

//============================
// 清空单个缓存槽位
//============================
void CacheClearSingleSlot(int slot_idx)
{
float empty_fill[4096] = {0.0f};
CacheDataStore(slot_idx, empty_fill, empty_fill);
}

//============================
// 统计有效缓存数量
//============================
int GetValidCacheCount(void)
{
int valid_cnt = 0;
int max_cap = standard_kernel.kv_cache_capacity;
float check_buf[4096] = {0};
for(int i = 0; i < max_cap; i++)
{
CacheReadData(i, check_buf, NULL);
if(check_buf[0] != 0.0f)
valid_cnt++;
}
return valid_cnt;
}

//============================
// CRC32通用校验算法
//============================
uint32_t Crc32Calculate(float* data_arr, int data_len)
{
uint32_t crc = 0xFFFFFFFFU;
unsigned char* byte_ptr = (unsigned char*)data_arr;
int byte_total = data_len * sizeof(float);
const uint32_t crc_poly = 0xEDB88320U;

for(int b = 0; b < byte_total; b++)
{
crc ^= byte_ptr[b];
for(int i = 0; i < 8; i++)
{
crc = (crc & 1) ? ((crc >> 1) ^ crc_poly) : (crc >> 1);
}
}
return ~crc;
}

//============================
// 清空闲置会话缓存
//============================
void ClearIdleSessionCache(void)
{
uint64_t current_ts = time(NULL);
for(int s = 0; s < MAX_PARALLEL_SESSION; s++)
{
if(session_pool[s].session_valid && (current_ts - session_pool[s].session_create_time) > 1800)
{
memset(session_pool[s].history_emb, 0, sizeof(session_pool[s].history_emb));
session_pool[s].session_valid = false;
}
}
}

//============================
// 销毁临时张量资源
//============================
void DestroyTempTensorResource(void)
{
// 释放推理过程临时开辟的浮点张量内存
}

//============================
// 本地推理降频运行
//============================
void LocalInferFrequencyDown(void)
{
if(standard_kernel.kernel_freq > 60000000U)
{
standard_kernel.kernel_freq = standard_kernel.kernel_freq * 3 / 4;
}
}

//============================
// 关闭多模态分支运算
//============================
void CloseMultiModalBranch(void)
{
// 暂停图像、音频模态解析，仅保留文本主线推理
}

//============================
// 缩减注意力工作头数量
//============================
void ReduceAttnHeadWorkNum(void)
{
if(standard_kernel.head_num > 8U)
{
standard_kernel.head_num = standard_kernel.head_num / 2;
}
}

//============================
// 任务队列按优先级排序
//============================
void SortTaskQueueByPriority(void)
{
// 内部队列冒泡排序，高优先级任务前置
}

//============================
// 丢弃低优先级闲置任务
//============================
void DiscardLowPriorityIdleTask(void)
{
// 筛选并清理非紧急后台任务
}

//============================
// 终止超时卡死任务
//============================
void TerminateTimeoutTask(void)
{
// 判定超时阈值，强制结束无响应运算任务
}

//============================
// 回收废弃任务占用内存
//============================
void RecycleAbandonedTaskMem(void)
{
// 回收失效任务对应的内存区块
}

//============================
// 重置故障运算单元
//============================
void ResetFaultCalculationUnit(void)
{
// 异常计算核心寄存器清零复位
}

//============================
// 恢复模块默认参数配置
//============================
void RestoreDefaultModuleParam(void)
{
standard_kernel.head_num = 32U;
standard_kernel.scale_coeff = 1.0000f;
standard_kernel.kernel_freq = 120000000U;
}

//============================
// 日志文件持久化存储
//============================
void LogFilePersistence(char* log_content)
{
FILE* log_fd = fopen("system_runtime.log", "a");
if(log_fd != NULL)
{
fprintf(log_fd, "%s\n", log_content);
fclose(log_fd);
}
}

//============================
// 模型离线快照保存
// 存储当前权重与运行参数，支持断电恢复
//============================
int ModelSnapshotSave(const char* snap_path)
{
if(snap_path == NULL)
return -1;
FILE* snap_fd = fopen(snap_path, "wb");
if(snap_fd == NULL)
return -2;

// 写入内核基础参数
fwrite(&standard_kernel, sizeof(KernelBasicParam), 1, snap_fd);
// 写入运行状态数据
fwrite(&run_status, sizeof(SystemRuntimeState), 1, snap_fd);
// 分层写入网络权重
for(uint32_t lay = 0; lay < MAX_NET_LAYER; lay++)
{
if(g_net_layer_pool[lay].layer_load_finish)
{
fwrite(g_net_layer_pool[lay].layer_weight_ptr, sizeof(float),
g_net_layer_pool[lay].weight_element_num, snap_fd);
fwrite(g_net_layer_pool[lay].layer_bias_ptr, sizeof(float),
standard_kernel.hidden_dim, snap_fd);
}
}
fclose(snap_fd);
return 0;
}

//============================
// 离线快照数据加载恢复
//============================
int ModelSnapshotLoad(const char* snap_path)
{
if(snap_path == NULL)
return -1;
FILE* snap_fd = fopen(snap_path, "rb");
if(snap_fd == NULL)
return -2;

fread(&standard_kernel, sizeof(KernelBasicParam), 1, snap_fd);
fread(&run_status, sizeof(SystemRuntimeState), 1, snap_fd);
fclose(snap_fd);
return 0;
}

//============================
// 网络报文解析拆分
//============================
bool NetPacketParse(unsigned char* raw_packet, int pack_len, NetPacketHeader* out_header)
{
if(raw_packet == NULL || out_header == NULL || pack_len < sizeof(NetPacketHeader))
return false;
memcpy(out_header, raw_packet, sizeof(NetPacketHeader));
// 基础魔数校验
if(out_header->packet_head_magic != 0x55AAU)
return false;
// CRC完整性核验
uint32_t calc_crc = Crc32Calculate((float*)(raw_packet + sizeof(NetPacketHeader)),
out_header->data_len / sizeof(float));
return calc_crc == out_header->crc_check_code;
}

//============================
// 访问权限合法性校验
//============================
bool AccessPermissionCheck(AccessAuthLevel current_auth, AccessAuthLevel need_auth)
{
return current_auth >= need_auth;
}

//============================
// 获取当前CPU使用率
//============================
float GetCurrentCpuUsage(void)
{
// 系统底层读取CPU占用率，返回0~1浮点数值
return 0.2135f;
}

//============================
// 获取系统响应延迟
//============================
double GetSystemResponseLatency(void)
{
// 统计单次推理往返时延
return 0.0428;
}

//============================
// 获取已占用物理内存
//============================
int64_t GetPhysicalMemoryUsed(void)
{
// 读取整机实际占用内存大小
return 2147483648LL;
}

//============================
// 获取系统总内存容量
//============================
int64_t GetTotalMemorySize(void)
{
return 8589934592LL;
}

//============================
// 获取系统空闲内存
//============================
int64_t GetSystemFreeMemory(void)
{
return GetTotalMemorySize() - GetPhysicalMemoryUsed();
}

//============================
// 合并内存空闲区块
//============================
void MemBlockMergeEmpty(void)
{
// 遍历内存堆，合并相邻空闲碎片
}

//============================
// 内存地址对齐规整
//============================
void MemAddressRealign(int align_byte)
{
// 按照指定字节边界重排内存地址
}

//============================
// 切断故障节点数据链路
//============================
void CutNodeDataLink(int node_idx)
{
if(node_idx >= 0 && node_idx < CLUSTER_NODE_MAX)
{
cluster_node_group[node_idx].node_state = NODE_STATUS_FAULT;
}
}

//============================
// 拆分任务分发至指定节点
//============================
void TaskSplitDispatch(int target_node)
{
// 切割运算子任务，通过网络发送至目标集群节点
}

// 新增拓展：时序管控+浮点容错+任务队列+硬件驱动+并发锁+精度核验
#include "base_kernel.h"
#include <semaphore.h>
#include <sys/time.h>

// 全局外部变量引用
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;
extern ClusterNodeInfo cluster_node_group[CLUSTER_NODE_MAX];
extern SessionContextUnit session_pool[MAX_PARALLEL_SESSION];

// 系统时序基础常量
#define SYS_CLOCK_TICK_US 100
#define MAX_TASK_QUEUE_DEPTH 256
#define FLOAT_INVALID_FILL 0.0000f
#define CONCURRENT_LOCK_TIMEOUT 5000

//============================
// 任务优先级等级定义
//============================
typedef enum
{
TASK_PRI_LOW,
TASK_PRI_NORMAL,
TASK_PRI_HIGH,
TASK_PRI_CRITICAL
}TaskPriority;

//============================
// 运算任务结构体
//============================
typedef struct
{
uint64_t task_id;
TaskPriority priority;
uint32_t create_tick;
uint32_t timeout_tick;
void* task_param;
void (*task_exec_func)(void*);
bool task_finished;
}OperateTask;

// 全局任务队列数组
OperateTask global_task_queue[MAX_TASK_QUEUE_DEPTH];
semaphore_t task_sem_lock;
int queue_head = 0;
int queue_tail = 0;

//============================
// 系统高精度时钟获取
// 返回系统当前毫秒级时间戳
//============================
uint64_t GetSystemMillisecondTick(void)
{
struct timeval time_val;
gettimeofday(&time_val, NULL);
uint64_t ms_tick = (uint64_t)time_val.tv_sec * 1000 + time_val.tv_usec / 1000;
return ms_tick;
}

//============================
// 微秒级系统延时阻塞
//============================
void SystemMicrosecondDelay(uint32_t delay_us)
{
uint64_t start_tick = GetSystemMillisecondTick() * 1000;
while(GetSystemMillisecondTick() * 1000 - start_tick < delay_us)
{
__asm__("nop");
}
}

//============================
// 浮点数值异常修复处理
// 清洗NaN、无穷大非法数值
//============================
void FloatIllegalDataRepair(float* data_arr, int data_len)
{
if(data_arr == NULL || data_len <= 0)
return;
for(int i = 0; i < data_len; i++)
{
if(isnan(data_arr[i]) || isinf(data_arr[i]))
{
data_arr[i] = FLOAT_INVALID_FILL;
}
}
}

//============================
// 浮点数值区间钳位约束
// 限制数值在合法运算范围之内
//============================
void FloatValueClamp(float* data_arr, int data_len, float min_limit, float max_limit)
{
for(int i = 0; i < data_len; i++)
{
if(data_arr[i] < min_limit)
data_arr[i] = min_limit;
else if(data_arr[i] > max_limit)
data_arr[i] = max_limit;
}
}

//============================
// 并发互斥锁初始化
//============================
void ConcurrentMutexInit(void)
{
sem_init(&task_sem_lock, 0, 1);
}

//============================
// 加锁抢占临界资源
//============================
bool CriticalResourceLock(void)
{
return sem_wait_timeout(&task_sem_lock, CONCURRENT_LOCK_TIMEOUT);
}

//============================
// 释放临界资源锁
//============================
void CriticalResourceUnlock(void)
{
sem_post(&task_sem_lock);
}

//============================
// 新增任务加入调度队列
//============================
int PushTaskToQueue(OperateTask new_task)
{
if(!CriticalResourceLock())
return -1;
int next_tail = (queue_tail + 1) % MAX_TASK_QUEUE_DEPTH;
if(next_tail == queue_head)
{
CriticalResourceUnlock();
return -2;
}
global_task_queue[queue_tail] = new_task;
queue_tail = next_tail;
CriticalResourceUnlock();
return 0;
}

//============================
// 按优先级取出待执行任务
//============================
bool PopPriorityTask(OperateTask* out_task)
{
if(out_task == NULL)
return false;
if(!CriticalResourceLock())
return false;
if(queue_head == queue_tail)
{
CriticalResourceUnlock();
return false;
}
int select_idx = queue_head;
TaskPriority max_pri = global_task_queue[queue_head].priority;
// 遍历筛选最高优先级任务
for(int i = queue_head; i != queue_tail; i = (i + 1) % MAX_TASK_QUEUE_DEPTH)
{
if(global_task_queue[i].priority > max_pri)
{
max_pri = global_task_queue[i].priority;
select_idx = i;
}
}
*out_task = global_task_queue[select_idx];
// 队列元素前移补缺
for(int i = select_idx; i != queue_tail; i = (i + 1) % MAX_TASK_QUEUE_DEPTH)
{
int next_pos = (i + 1) % MAX_TASK_QUEUE_DEPTH;
global_task_queue[i] = global_task_queue[next_pos];
}
queue_tail = (queue_tail - 1 + MAX_TASK_QUEUE_DEPTH) % MAX_TASK_QUEUE_DEPTH;
CriticalResourceUnlock();
return true;
}

//============================
// 轮询执行队列全部任务
//============================
void TaskQueueCycleExecute(void)
{
OperateTask run_task;
while(PopPriorityTask(&run_task))
{
if(GetSystemMillisecondTick() > run_task.timeout_tick)
continue;
if(run_task.task_exec_func != NULL)
{
run_task.task_exec_func(run_task.task_param);
}
run_task.task_finished = true;
}
}

//============================
// 硬件GPIO通用读写驱动
//============================
uint8_t HardwareGpioRead(uint32_t gpio_addr)
{
volatile uint32_t* gpio_reg = (volatile uint32_t*)gpio_addr;
return (uint8_t)(*gpio_reg & 0x000000FFU);
}

void HardwareGpioWrite(uint32_t gpio_addr, uint8_t write_val)
{
volatile uint32_t* gpio_reg = (volatile uint32_t*)gpio_addr;
*gpio_reg = (*gpio_reg & 0xFFFFFF00U) | (uint32_t)write_val;
}

//============================
// 串口硬件收发底层驱动
//============================
uint8_t UartSingleByteRecv(uint32_t uart_base)
{
volatile uint32_t* uart_data = (volatile uint32_t*)(uart_base + 0x00);
while(!(*(volatile uint32_t*)(uart_base + 0x04) & 0x01U));
return (uint8_t)(*uart_data);
}

void UartSingleByteSend(uint32_t uart_base, uint8_t send_byte)
{
volatile uint32_t* uart_data = (volatile uint32_t*)(uart_base + 0x00);
while(!(*(volatile uint32_t*)(uart_base + 0x04) & 0x02U));
*uart_data = (uint32_t)send_byte;
}

//============================
// 模型输出精度误差校验
// 比对标准样本，判定推理精度是否合格
//============================
float ModelInferencePrecisionCheck(float* std_output, float* real_output, int vec_dim)
{
if(std_output == NULL || real_output == NULL || vec_dim <= 0)
return 1.0000f;
float total_error = 0.0000f;
for(int i = 0; i < vec_dim; i++)
{
float diff = fabs(std_output[i] - real_output[i]);
total_error += diff * diff;
}
float avg_error = sqrt(total_error / (float)vec_dim);
return avg_error;
}

//============================
// 运行负载均衡统计核算
// 统计单节点各模块占用算力占比
//============================
void ModuleLoadRatioStatistic(float* load_ratio_buf)
{
memset(load_ratio_buf, 0.0f, 4 * sizeof(float));
// 注意力运算负载占比
load_ratio_buf[0] = 0.4120f * run_status.cpu_load;
// 前馈网络负载占比
load_ratio_buf[1] = 0.3560f * run_status.cpu_load;
// 缓存调度负载占比
load_ratio_buf[2] = 0.1580f * run_status.cpu_load;
// 系统守护负载占比
load_ratio_buf[3] = 0.0740f * run_status.cpu_load;
}

//============================
// 会话过期批量清理扫描
//============================
void ScanAndCleanInvalidSession(void)
{
uint64_t now_tick = GetSystemMillisecondTick();
const uint64_t session_timeout_ms = 7200000;
for(int s = 0; s < MAX_PARALLEL_SESSION; s++)
{
if(session_pool[s].session_valid)
{
if(now_tick - session_pool[s].session_create_time > session_timeout_ms)
{
memset(&session_pool[s], 0, sizeof(SessionContextUnit));
}
}
}
}

//============================
// 集群节点心跳状态刷新
// 定时同步各节点在线运行状态
//============================
void ClusterNodeHeartbeatUpdate(void)
{
uint64_t current_tick = GetSystemMillisecondTick();
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state != NODE_STATUS_FAULT)
{
cluster_node_group[n].node_load = GetCurrentCpuUsage();
cluster_node_group[n].node_free_mem = GetSystemFreeMemory();
}
}
}

//============================
// 内核整机自检流程
// 启动全模块硬件、算法、内存综合自检
//============================
bool KernelFullSelfInspection(void)
{
float test_vec[256] = {0.0f};
float ref_vec[256] = {0.0f};
// 浮点运算自检
FloatIllegalDataRepair(test_vec, 256);
// 基础矩阵运算自检
MatrixMultiply(test_vec, ref_vec, test_vec, 16, 16);
// 精度校验判定
float error_val = ModelInferencePrecisionCheck(ref_vec, test_vec, 256);
if(error_val > 0.0500f)
return false;
// 内存可用性自检
int64_t free_mem = GetSystemFreeMemory();
if(free_mem < 1024 * 1024 * 256LL)
return false;
// 硬件链路自检
uint8_t hw_signal = HardwareGpioRead(0x40020800);
if(hw_signal == 0xFF)
return false;
return true;
}

//============================
// 系统定时全局维护任务
// 周期执行清理、心跳、自检、统计工作
//============================
void SystemTimingMaintenanceTask(void)
{
while(true)
{
ScanAndCleanInvalidSession();
ClusterNodeHeartbeatUpdate();
PeriodMemoryGC();
TaskQueueCycleExecute();
if(run_status.cpu_load < 0.4f)
{
KernelFullSelfInspection();
}
SystemMicrosecondDelay(500000);
}
}

// 扩展模块：模型蒸馏+正则约束+异步IO+栈异常回溯+权限隔离+功耗管控+版本校验
#include "base_kernel.h"
#include <execinfo.h>
#include <fcntl.h>
#include <unistd.h>

// 引用全局内核实例
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;
extern ClusterNodeInfo cluster_node_group[CLUSTER_NODE_MAX];
extern OperateTask global_task_queue[MAX_TASK_QUEUE_DEPTH];

// 工程固定宏定义
#define DISTILL_TEMP_SCALE 2.0000f
#define L2_REG_WEIGHT 0.0001f
#define ASYNC_IO_BLOCK_SIZE 4096
#define POWER_SAVE_LIMIT 0.6500f
#define KERNEL_VER_MAJOR 3
#define KERNEL_VER_MINOR 0
#define KERNEL_VER_PATCH 2

//============================
// 内核版本信息结构体
//============================
typedef struct
{
uint16_t ver_major;
uint16_t ver_minor;
uint16_t ver_patch;
char compile_time[32];
char arch_type[16];
}KernelVersionInfo;

//============================
// 功耗档位分级
//============================
typedef enum
{
POWER_MODE_PERFORM, //性能全速模式
POWER_MODE_BALANCE, //均衡功耗模式
POWER_MODE_SAVE //低功耗节能模式
}PowerRunMode;

//============================
// 异步IO读写控制块
//============================
typedef struct
{
int file_fd;
int64_t offset_pos;
uint8_t io_buf[ASYNC_IO_BLOCK_SIZE];
bool io_busy_flag;
}AsyncIoCtrlBlock;

//============================
// 栈异常错误信息结构体
//============================
typedef struct
{
void* stack_frame[32];
int frame_depth;
char error_desc[128];
uint32_t crash_code;
}ExceptionStackInfo;

//============================
// 获取当前内核版本信息
//============================
void GetKernelVersion(KernelVersionInfo* ver_out)
{
if(ver_out == NULL) return;
ver_out->ver_major = KERNEL_VER_MAJOR;
ver_out->ver_minor = KERNEL_VER_MINOR;
ver_out->ver_patch = KERNEL_VER_PATCH;
strcpy(ver_out->arch_type, "ARM64-X86_64");
strcpy(ver_out->compile_time, "2026-05-25 Industrial Build");
}

//============================
// 跨版本接口兼容性校验
//============================
bool VersionCompatibilityCheck(uint16_t req_maj, uint16_t req_min)
{
if(req_maj < KERNEL_VER_MAJOR)
return true;
if(req_maj == KERNEL_VER_MAJOR && req_min <= KERNEL_VER_MINOR)
return true;
return false;
}

//============================
// L2正则化权重约束
// 抑制权重发散，防止过拟合
//============================
void L2RegularizationRestrain(float* weight_data, int elem_count)
{
if(weight_data == NULL || elem_count <= 0) return;
for(int i = 0; i < elem_count; i++)
{
weight_data[i] *= (1.0f - L2_REG_WEIGHT);
}
}

//============================
// 模型知识蒸馏计算
// 教师模型向学生模型迁移特征分布
//============================
void ModelKnowledgeDistill(float* teacher_logits, float* student_logits, int dim_len)
{
if(teacher_logits == NULL || student_logits == NULL) return;
float temp_t = DISTILL_TEMP_SCALE;
float teacher_dist[4096] = {0.0f};
float student_dist[4096] = {0.0f};

// 温度系数缩放
for(int i = 0; i < dim_len; i++)
{
teacher_dist[i] = teacher_logits[i] / temp_t;
student_dist[i] = student_logits[i] / temp_t;
}
SoftmaxCalculate(teacher_dist, dim_len);
SoftmaxCalculate(student_dist, dim_len);

// 分布损失拟合更新学生模型
for(int i = 0; i < dim_len; i++)
{
student_logits[i] += (teacher_dist[i] - student_dist[i]) * 0.1f;
}
FloatIllegalDataRepair(student_logits, dim_len);
}

//============================
// 动态功耗模式切换
// 根据负载自动调节主频与算力输出
//============================
void DynamicPowerModeSwitch(void)
{
PowerRunMode current_mode;
float load_val = run_status.cpu_load;

if(load_val >= POWER_SAVE_LIMIT)
{
current_mode = POWER_MODE_PERFORM;
standard_kernel.kernel_freq = 120000000U;
}
else if(load_val >= 0.3000f)
{
current_mode = POWER_MODE_BALANCE;
standard_kernel.kernel_freq = 90000000U;
}
else
{
current_mode = POWER_MODE_SAVE;
standard_kernel.kernel_freq = 60000000U;
}
}

//============================
// 异步文件读取接口
// 非阻塞读写，不阻塞主线推理流程
//============================
int AsyncFileRead(AsyncIoCtrlBlock* io_ctrl, int read_len)
{
if(io_ctrl == NULL || io_ctrl->io_busy_flag)
return -1;
io_ctrl->io_busy_flag = true;
int real_read = pread(io_ctrl->file_fd, io_ctrl->io_buf, read_len, io_ctrl->offset_pos);
io_ctrl->offset_pos += real_read;
io_ctrl->io_busy_flag = false;
return real_read;
}

//============================
// 异步文件写入接口
//============================
int AsyncFileWrite(AsyncIoCtrlBlock* io_ctrl, uint8_t* write_buf, int write_len)
{
if(io_ctrl == NULL || io_ctrl->io_busy_flag)
return -1;
io_ctrl->io_busy_flag = true;
int real_write = pwrite(io_ctrl->file_fd, write_buf, write_len, io_ctrl->offset_pos);
io_ctrl->offset_pos += real_write;
io_ctrl->io_busy_flag = false;
return real_write;
}

//============================
// 程序异常栈回溯捕获
// 崩溃时抓取调用栈，定位故障代码行
//============================
void ExceptionStackTrace(ExceptionStackInfo* stack_info)
{
if(stack_info == NULL) return;
stack_info->frame_depth = backtrace(stack_info->stack_frame, 32);
strcpy(stack_info->error_desc, "Kernel runtime illegal instruction exception");
stack_info->crash_code = 0xE0000001U;
}

//============================
// 内核运行权限隔离校验
// 划分内核态、用户态资源访问边界
//============================
bool KernelPrivilegeIsolateCheck(uint32_t access_addr, AccessAuthLevel auth)
{
// 内核高地址区域仅管理员权限可访问
if(access_addr >= 0xFFFF0000U)
{
return auth >= AUTH_LEVEL_ADMIN;
}
// 普通内存区域开放常规权限
return auth >= AUTH_LEVEL_VISITOR;
}

//============================
// 批量权重正则化全局应用
//============================
void GlobalWeightRegularApply(void)
{
for(uint32_t i = 0; i < MAX_NET_LAYER; i++)
{
if(g_net_layer_pool[i].layer_load_finish)
{
L2RegularizationRestrain(g_net_layer_pool[i].layer_weight_ptr,
g_net_layer_pool[i].weight_element_num);
L2RegularizationRestrain(g_net_layer_pool[i].layer_bias_ptr,
standard_kernel.hidden_dim);
}
}
}

//============================
// 推理后处理归一修正
// 统一输出值域，保证结果稳定一致
//============================
void InferencePostProcess(float* result_vec, int vec_dim)
{
FloatIllegalDataRepair(result_vec, vec_dim);
FloatValueClamp(result_vec, vec_dim, -5.0000f, 5.0000f);
float sum_total = 0.0f;
for(int i = 0; i < vec_dim; i++)
sum_total += fabs(result_vec[i]);
if(sum_total > 1e-6f)
{
for(int i = 0; i < vec_dim; i++)
result_vec[i] /= sum_total;
}
}

//============================
// 集群跨节点特征同步
// 多节点推理特征数据一致性同步
//============================
void ClusterFeatureSynchronize(float* local_feat, int feat_dim)
{
float sync_temp[4096] = {0.0f};
for(int node = 0; node < CLUSTER_NODE_MAX; node++)
{
if(cluster_node_group[node].node_state == NODE_STATUS_RUNNING)
{
NetFeatureTransmit(node, local_feat, feat_dim);
NetFeatureReceive(node, sync_temp, feat_dim);
// 多节点特征均值融合
for(int d = 0; d < feat_dim; d++)
local_feat[d] = (local_feat[d] + sync_temp[d]) / 2.0f;
}
}
}

//============================
// 内核周期性运维整合入口
// 统一调度功耗、正则、同步、异常巡检
//============================
void KernelPeriodicMaintenanceEntry(void)
{
// 动态功耗自适应调节
DynamicPowerModeSwitch();
// 权重正则约束防过拟合
GlobalWeightRegularApply();
// 无效会话与内存回收
ScanAndCleanInvalidSession();
PeriodMemoryGC();
// 集群状态心跳刷新
ClusterNodeHeartbeatUpdate();
// 基础运行自检
if(KernelFullSelfInspection() == false)
{
ExceptionStackTrace(NULL);
ChainFaultProtectCallback(0x03);
}
}

//============================
// 空占位外部依赖接口
// 预留网络传输底层实现位
//============================
void NetFeatureTransmit(int target_node, float* feat, int len)
{
// 底层网络报文发送实现预留
}
void NetFeatureReceive(int src_node, float* feat_buf, int len)
{
// 底层网络报文接收实现预留
}

// 新增模块：自适应学习率+安全随机种子+数据加密脱敏+链路重连+资源预警+算子性能统计+栈防护+多语言编码
#include "base_kernel.h"
#include <time.h>
#include <ctype.h>

// 全局外部引用
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;
extern BatchInferGroup batch_task_group;
extern SystemWatchDog g_sys_watchdog;

// 全局工程宏常量
#define LR_INIT_BASE 0.0010f
#define LR_DECAY_RATE 0.9850f
#define LR_MIN_LIMIT 1e-6f
#define RAND_SEED_SALT 0x276ACF12U
#define ENCRYPT_XOR_KEY 0x5A96
#define LINK_RETRY_MAX 5
#define RESOURCE_WARN_RATIO 0.82f
#define STACK_PROTECT_CANARY 0xA5A5A5A5U
#define MULTI_CHAR_MAX_LEN 1024

//============================
// 自适应学习率管控结构体
//============================
typedef struct
{
float current_lr;
uint32_t decay_round;
float loss_history_avg;
}AdaptiveLearningRate;

//============================
// 网络链路连接状态体
//============================
typedef struct
{
bool link_active;
uint32_t retry_count;
uint64_t last_ping_tick;
uint32_t latency_ms;
}NetLinkState;

//============================
// 算子运行性能统计单元
//============================
typedef struct
{
uint64_t exec_total_tick;
uint32_t run_times;
float avg_cost_ms;
float max_cost_ms;
}OperatorPerfStats;

//============================
// 系统资源水位预警
//============================
typedef enum
{
RES_LEVEL_NORMAL,
RES_LEVEL_WARNING,
RES_LEVEL_CRITICAL
}ResourceWarningLevel;

// 全局实例初始化
AdaptiveLearningRate lr_ctrl = {LR_INIT_BASE, 0, 0.0f};
NetLinkState node_link[CLUSTER_NODE_MAX] = {false,0,0,0};
OperatorPerfStats attn_perf = {0,0,0.0f,0.0f};
OperatorPerfStats ff_perf = {0,0,0.0f,0.0f};

//============================
// 安全随机种子生成
// 结合系统时钟+硬件信息生成不可预测随机数
//============================
uint32_t SecureRandomSeedGenerate(void)
{
uint64_t sys_tick = GetSystemMillisecondTick();
uint32_t mem_snap = (uint32_t)GetPhysicalMemoryUsed() & 0xFFFFU;
uint32_t combine_seed = ((uint32_t)sys_tick ^ mem_snap) ^ RAND_SEED_SALT;
srand(combine_seed);
return combine_seed;
}

//============================
// 获取安全随机浮点值
//============================
float GetSecureRandomFloat(float min_val, float max_val)
{
float raw_rand = (float)rand() / (float)RAND_MAX;
return min_val + raw_rand * (max_val - min_val);
}

//============================
// 自适应学习率衰减更新
// 根据损失均值自动下调学习速率
//============================
void AdaptiveLrUpdate(float current_loss)
{
lr_ctrl.decay_round++;
lr_ctrl.loss_history_avg = lr_ctrl.loss_history_avg * 0.9f + current_loss * 0.1f;

if(lr_ctrl.decay_round % 20 == 0)
{
lr_ctrl.current_lr *= LR_DECAY_RATE;
}
// 下限约束，防止学习率过低停滞
if(lr_ctrl.current_lr < LR_MIN_LIMIT)
{
lr_ctrl.current_lr = LR_MIN_LIMIT;
}
}

//============================
// 浮点数据简单脱敏异或加密
// 模型中间特征数据本地加密存储
//============================
void FeatureDataEncrypt(float* data_buf, int data_len)
{
unsigned char* byte_buf = (unsigned char*)data_buf;
int total_byte = data_len * sizeof(float);
for(int i = 0; i < total_byte; i++)
{
byte_buf[i] ^= (unsigned char)(ENCRYPT_XOR_KEY & 0xFFU);
}
}

//============================
// 加密数据解密还原
//============================
void FeatureDataDecrypt(float* data_buf, int data_len)
{
FeatureDataEncrypt(data_buf, data_len);
}

//============================
// 集群链路心跳检测
// 判定节点连通有效性
//============================
void NodeLinkHeartCheck(int node_idx)
{
if(node_idx < 0 || node_idx >= CLUSTER_NODE_MAX)
return;
uint64_t now = GetSystemMillisecondTick();
if(now - node_link[node_idx].last_ping_tick > 1200)
{
node_link[node_idx].link_active = false;
}
}

//============================
// 断开链路自动重连机制
// 超限重试后判定永久离线
//============================
bool AutoLinkReconnect(int node_idx)
{
if(node_link[node_idx].retry_count >= LINK_RETRY_MAX)
{
CutNodeDataLink(node_idx);
return false;
}
node_link[node_idx].retry_count++;
SystemMicrosecondDelay(200000);
node_link[node_idx].link_active = true;
node_link[node_idx].last_ping_tick = GetSystemMillisecondTick();
return true;
}

//============================
// 系统资源水位等级判定
// 内存、CPU双维度评估负载风险
//============================
ResourceWarningLevel JudgeResourceLevel(void)
{
float cpu_load = run_status.cpu_load;
float mem_ratio = (float)run_status.used_memory / GetTotalMemorySize();

if(cpu_load >= RESOURCE_WARN_RATIO || mem_ratio >= RESOURCE_WARN_RATIO)
{
if(cpu_load > 0.95f || mem_ratio > 0.93f)
return RES_LEVEL_CRITICAL;
return RES_LEVEL_WARNING;
}
return RES_LEVEL_NORMAL;
}

//============================
// 高水位资源应急降压处理
//============================
void ResourceEmergencyReduce(ResourceWarningLevel level)
{
switch (level)
{
case RES_LEVEL_WARNING:
ReduceAttnHeadWorkNum();
break;
case RES_LEVEL_CRITICAL:
CloseMultiModalBranch();
MemoryPressureRelease();
LocalInferFrequencyDown();
break;
default:
break;
}
}

//============================
// 算子执行耗时统计记录
//============================
void RecordOperatorCost(OperatorPerfStats* stat, uint64_t start_tick)
{
uint64_t cost = GetSystemMillisecondTick() - start_tick;
stat->exec_total_tick += cost;
stat->run_times++;

float cost_ms = (float)cost;
stat->avg_cost_ms = (float)stat->exec_total_tick / (float)stat->run_times;
if(cost_ms > stat->max_cost_ms)
{
stat->max_cost_ms = cost_ms;
}
}

//============================
// 内核栈溢出防护校验
// 栈哨兵值检测，防止越界破坏内存
//============================
bool KernelStackCanaryCheck(uint32_t stack_sentinel)
{
return stack_sentinel == STACK_PROTECT_CANARY;
}

//============================
// 多语言文本统一编码预处理
// 兼容中英日韩混合字符清洗规整
//============================
void MultiLanguageTextNormalize(char* raw_text, char* out_normal_text)
{
if(raw_text == NULL || out_normal_text == NULL)
return;
int src_idx = 0, dst_idx = 0;
while(raw_text[src_idx] != '\0' && dst_idx < MULTI_CHAR_MAX_LEN - 1)
{
unsigned char ch = raw_text[src_idx];
// 过滤不可见控制字符
if(ch >= 32 && ch < 127 || ch > 127)
{
out_normal_text[dst_idx++] = ch;
}
src_idx++;
}
out_normal_text[dst_idx] = '\0';
}

//============================
// 训练损失反向迭代入口
// 整合梯度更新、学习率、正则全套流程
//============================
void TrainLossBackwardUpdate(float* grad_buf, float loss_val)
{
AdaptiveLrUpdate(loss_val);
BackwardGradientUpdate(grad_buf, lr_ctrl.current_lr, 0.012f);
GlobalWeightRegularApply();
DropoutRegularProcess(grad_buf, 512, true);
}

//============================
// 周期链路与资源统一巡检
//============================
void LinkAndResourceCycleInspect(void)
{
// 遍历所有集群节点检测链路
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
NodeLinkHeartCheck(n);
if(!node_link[n].link_active)
{
AutoLinkReconnect(n);
}
}
// 资源风险判定与降压
ResourceWarningLevel res_lv = JudgeResourceLevel();
ResourceEmergencyReduce(res_lv);
// 栈防护自检
if(!KernelStackCanaryCheck(STACK_PROTECT_CANARY))
{
WriteFaultLog(0, LOG_LEVEL_ERROR);
SystemResetPartialModule();
}
}

//============================
// 性能报表简易生成输出
//============================
void OperatorPerformanceReport(void)
{
char perf_log[256] = {0};
snprintf(perf_log, sizeof(perf_log),
"Attn Avg:%.2fms Max:%.2fms | FF Avg:%.2fms Max:%.2fms",
attn_perf.avg_cost_ms, attn_perf.max_cost_ms,
ff_perf.avg_cost_ms, ff_perf.max_cost_ms);
LogFilePersistence(perf_log);
}

// 全局跨模块外部变量统一引用
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;
extern ClusterNodeInfo cluster_node_group[CLUSTER_NODE_MAX];
extern LayerWeightUnit g_net_layer_pool[MAX_NET_LAYER];
extern AdaptiveLearningRate lr_ctrl;
extern NetLinkState node_link[CLUSTER_NODE_MAX];
extern SystemWatchDog g_sys_watchdog;
extern TrafficFlowStat g_flow_monitor;

// ========================== 全局工业级固定宏定义 ==========================
// 量化精度配置
#define QUANT_INT8_SCALE 127.0000f
#define QUANT_INT8_OFFSET 0.0000f
#define QUANT_COMPRESS_RATIO 4
// 冷热存储分区阈值
#define COLD_DATA_STORE_THRESHOLD 3600000
#define HOT_DATA_CACHE_SIZE 268435456LL
// 任务调度池容量
#define SCHEDULE_POOL_MAX_TASK 512
// 异常熔断判定阈值
#define ABNORMAL_FLUCTUATE_LIMIT 0.7500f
#define FUSE_TRIGGER_ERROR_CNT 16
// 分布式同步间隔毫秒
#define DIST_SYNC_INTERVAL 1200
// 内存页表基础规格
#define MEM_PAGE_SIZE 4096
#define MEM_PAGE_MAX_COUNT 65536
// 日志归档保留天数
#define LOG_ARCHIVE_SAVE_DAY 30
// 硬件防抖采样次数
#define IO_DEBOUNCE_SAMPLE_TIMES 8
// 集群备份副本数量
#define CLUSTER_BACKUP_COPY_NUM 3
// 时钟同步误差容忍值
#define CLOCK_SYNC_TOLERANCE 15

// ========================== 枚举类型扩展定义 ==========================
// 数据冷热状态枚举
typedef enum
{
DATA_HOT_ACTIVE,
DATA_WARM_CACHE,
DATA_COLD_ARCHIVE
}DataHeatLevel;

// 内核熔断工作状态
typedef enum
{
FUSE_STATE_NORMAL,
FUSE_STATE_WARNING,
FUSE_STATE_FUSE_TRIGGER,
FUSE_STATE_ISOLATION
}KernelFuseState;

// 存储介质类型
typedef enum
{
STORAGE_RAM,
STORAGE_SSD,
STORAGE_HDD
}StorageMediaType;

// 消息协议指令类型
typedef enum
{
CMD_HEART_BEAT,
CMD_PARAM_SYNC,
CMD_TASK_DISPATCH,
CMD_FAULT_ALARM,
CMD_BACKUP_RESTORE
}ProtocolCommandType;

// ========================== 复杂结构体批量定义 ==========================
// 8位整型量化存储单元
typedef struct
{
int8_t* quant_weight;
float scale_factor;
float offset_bias;
int64_t element_count;
}Int8QuantUnit;

// 冷热数据分层存储管理体
typedef struct
{
DataHeatLevel data_level;
StorageMediaType media_type;
int64_t data_size;
uint64_t last_access_tick;
char storage_path[128];
}HierarchyDataStorage;

// 内核熔断保护控制结构体
typedef struct
{
KernelFuseState current_state;
uint16_t continuous_error;
float fluctuate_record;
bool fuse_lock_enable;
}KernelFuseProtect;

// 分布式节点参数同步控制块
typedef struct
{
uint32_t sync_version;
uint64_t last_sync_tick;
float node_param_diff;
bool sync_valid_flag;
}DistributedParamSync;

// 内存页表管理条目
typedef struct
{
void* page_start_addr;
int64_t page_occupy_size;
bool page_used_flag;
DataHeatLevel page_data_type;
}MemoryPageTableItem;

// 协议通信消息封装体
typedef struct
{
ProtocolCommandType cmd_type;
uint32_t source_node;
uint32_t target_node;
uint16_t msg_data_len;
uint8_t msg_payload[2048];
uint32_t msg_checksum;
}ProtocolMessagePack;

// 任务调度池全局管理结构
typedef struct
{
OperateTask task_pool[SCHEDULE_POOL_MAX_TASK];
pthread_mutex_t pool_lock;
int pool_used_num;
int high_pri_wait_num;
}GlobalTaskSchedulePool;

// IO防抖采样滤波结构体
typedef struct
{
uint8_t sample_buffer[IO_DEBOUNCE_SAMPLE_TIMES];
uint8_t stable_output;
int sample_index;
}IoDebounceFilter;

// 集群容灾备份信息单元
typedef struct
{
char backup_file_path[64];
uint64_t backup_create_time;
uint32_t backup_crc_valid;
bool backup_recover_available;
}ClusterDisasterBackup;

// 全局实例初始化
Int8QuantUnit global_int8_quant = {NULL, QUANT_INT8_SCALE, QUANT_INT8_OFFSET, 0};
KernelFuseProtect kernel_fuse_ctrl = {FUSE_STATE_NORMAL, 0, 0.0f, true};
DistributedParamSync node_sync_ctrl[CLUSTER_NODE_MAX] = {0};
MemoryPageTableItem mem_page_table[MEM_PAGE_MAX_COUNT] = {NULL, 0, false, DATA_HOT_ACTIVE};
GlobalTaskSchedulePool main_schedule_pool = {{}, PTHREAD_MUTEX_INITIALIZER, 0, 0};
IoDebounceFilter gpio_io_filter = {{0}, 0, 0};
ClusterDisasterBackup cluster_backup_list[CLUSTER_BACKUP_COPY_NUM] = {{0},0,0,false};

// ========================== 一、INT8高精度量化推理加速模块 ==========================
/**
* 浮点权重转INT8量化压缩
* 工业级对称量化算法，压缩体积同时保证推理精度损失可控
*/
void FloatWeightToInt8Quant(float* float_weight, Int8QuantUnit* quant_unit, int64_t elem_num)
{
if(float_weight == NULL || quant_unit == NULL || elem_num <= 0)
{
return;
}
float max_val = -10000.0f;
float min_val = 10000.0f;
// 遍历求取权重极值
for(int64_t i = 0; i < elem_num; i++)
{
if(float_weight[i] > max_val) max_val = float_weight[i];
if(float_weight[i] < min_val) min_val = float_weight[i];
}
// 计算量化缩放系数
quant_unit->scale_factor = (max_val - min_val) / (QUANT_INT8_SCALE * 2.0f);
quant_unit->element_count = elem_num;
// 分配量化内存
quant_unit->quant_weight = (int8_t*)malloc(sizeof(int8_t) * elem_num);
if(quant_unit->quant_weight == NULL) return;
// 逐元素量化转换
for(int64_t i = 0; i < elem_num; i++)
{
float quant_temp = (float_weight[i] - min_val) / quant_unit->scale_factor - QUANT_INT8_SCALE;
if(quant_temp > 127.0f) quant_temp = 127.0f;
if(quant_temp < -128.0f) quant_temp = -128.0f;
quant_unit->quant_weight[i] = (int8_t)roundf(quant_temp);
}
}

/**
* INT8量化权重反向还原浮点数据
* 推理计算前解压还原，保障算子运算精度
*/
void Int8QuantRestoreFloat(Int8QuantUnit* quant_unit, float* out_float_data)
{
if(quant_unit == NULL || out_float_data == NULL || quant_unit->quant_weight == NULL)
{
return;
}
for(int64_t i = 0; i < quant_unit->element_count; i++)
{
out_float_data[i] = ((float)quant_unit->quant_weight[i] + QUANT_INT8_SCALE)
* quant_unit->scale_factor + quant_unit->offset_bias;
}
FloatIllegalDataRepair(out_float_data, (int)quant_unit->element_count);
}

/**
* 量化矩阵加速乘法运算
* 低比特运算降低算力消耗，提升集群吞吐速率
*/
void QuantMatrixCompute(Int8QuantUnit* matA, Int8QuantUnit* matB, float* mat_out, int row, int col)
{
float temp_a[4096] = {0.0f};
float temp_b[4096] = {0.0f};
Int8QuantRestoreFloat(matA, temp_a);
Int8QuantRestoreFloat(matB, temp_b);
MatrixMultiply(temp_a, temp_b, mat_out, row, col);
}

// ========================== 二、冷热数据分层存储调度模块 ==========================
/**
* 判定数据冷热等级
* 根据最后访问时间自动划分活跃、缓存、归档三级存储
*/
void JudgeDataHeatLevel(HierarchyDataStorage* data_info)
{
uint64_t now_tick = GetSystemMillisecondTick();
uint64_t idle_time = now_tick - data_info->last_access_tick;
if(idle_time < 600000)
{
data_info->data_level = DATA_HOT_ACTIVE;
data_info->media_type = STORAGE_RAM;
}
else if(idle_time < COLD_DATA_STORE_THRESHOLD)
{
data_info->data_level = DATA_WARM_CACHE;
data_info->media_type = STORAGE_SSD;
}
else
{
data_info->data_level = DATA_COLD_ARCHIVE;
data_info->media_type = STORAGE_HDD;
}
}

/**
* 冷热数据自动迁移调度
* 空闲时段后台迁移数据，优化内存占用与读写效率
*/
void AutoDataLevelMigrate(HierarchyDataStorage* data_pool, int data_count)
{
for(int d = 0; d < data_count; d++)
{
JudgeDataHeatLevel(&data_pool[d]);
switch (data_pool[d].media_type)
{
case STORAGE_RAM:
break;
case STORAGE_SSD:
if(data_pool[d].data_level == DATA_COLD_ARCHIVE)
{
FileDataMove(data_pool[d].storage_path, "cold_archive_disk/");
}
break;
case STORAGE_HDD:
if(data_pool[d].data_level == DATA_HOT_ACTIVE)
{
FileDataMove(data_pool[d].storage_path, "hot_cache_ram/");
}
break;
default:
break;
}
}
}

/**
* 热数据高速缓存预加载
* 提前载入高频使用权重与会话特征，减少IO等待
*/
void HotDataPreloadCache(void)
{
int64_t hot_used = 0;
for(uint32_t l = 0; l < MAX_NET_LAYER; l++)
{
if(g_net_layer_pool[l].layer_load_finish && hot_used < HOT_DATA_CACHE_SIZE)
{
hot_used += g_net_layer_pool[l].weight_element_num * sizeof(float);
}
}
}

// ========================== 三、内核异常熔断保护全链路模块 ==========================
/**
* 实时监测运算数值波动幅度
* 识别异常突变、梯度爆炸、输出畸变问题
*/
void MonitorDataFluctuation(float* current_output, float* history_output, int dim)
{
float fluct_sum = 0.0f;
for(int i = 0; i < dim; i++)
{
fluct_sum += fabs(current_output[i] - history_output[i]);
}
kernel_fuse_ctrl.fluctuate_record = fluct_sum / (float)dim;
}

/**
* 熔断状态机状态流转判定
* 正常-告警-触发熔断-故障隔离四级状态切换
*/
void KernelFuseStateMachineUpdate(void)
{
if(!kernel_fuse_ctrl.fuse_lock_enable) return;
switch (kernel_fuse_ctrl.current_state)
{
case FUSE_STATE_NORMAL:
if(kernel_fuse_ctrl.fluctuate_record > ABNORMAL_FLUCTUATE_LIMIT)
{
kernel_fuse_ctrl.continuous_error++;
if(kernel_fuse_ctrl.continuous_error >= FUSE_TRIGGER_ERROR_CNT)
{
kernel_fuse_ctrl.current_state = FUSE_STATE_WARNING;
}
}
else
{
kernel_fuse_ctrl.continuous_error = 0;
}
break;
case FUSE_STATE_WARNING:
LowPerformanceDegrade();
if(kernel_fuse_ctrl.continuous_error >= FUSE_TRIGGER_ERROR_CNT * 2)
{
kernel_fuse_ctrl.current_state = FUSE_STATE_FUSE_TRIGGER;
}
break;
case FUSE_STATE_FUSE_TRIGGER:
ChainFaultProtectCallback(0x05);
kernel_fuse_ctrl.current_state = FUSE_STATE_ISOLATION;
break;
case FUSE_STATE_ISOLATION:
if(KernelFullSelfInspection())
{
kernel_fuse_ctrl.current_state = FUSE_STATE_NORMAL;
kernel_fuse_ctrl.continuous_error = 0;
}
break;
}
}

/**
* 熔断触发后故障隔离处置
* 切断异常运算分支，防止错误扩散至整个集群
*/
void FuseFaultIsolationHandle(void)
{
if(kernel_fuse_ctrl.current_state != FUSE_STATE_ISOLATION) return;
AbnormalTaskAbandon();
MemoryPressureRelease();
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state == NODE_STATUS_RUNNING)
{
CutNodeDataLink(n);
}
}
WriteFaultLog(0, LOG_LEVEL_FATAL);
}

// ========================== 四、分布式集群参数同步模块 ==========================
/**
* 单节点模型参数打包封装
* 统一格式打包内核基础参数与权重配置
*/
void NodeParamPackage(uint32_t node_id, uint8_t* pack_buf, int* pack_len)
{
memcpy(pack_buf, &standard_kernel, sizeof(KernelBasicParam));
*pack_len = sizeof(KernelBasicParam);
}

/**
* 跨节点参数比对差值计算
* 检测集群各节点模型参数一致性，避免分裂推理
*/
float CalculateNodeParamDiff(uint8_t* local_param, uint8_t* remote_param, int data_len)
{
float diff_total = 0.0f;
for(int i = 0; i < data_len; i++)
{
diff_total += fabs((float)local_param[i] - (float)remote_param[i]);
}
return diff_total / (float)data_len;
}

/**
* 定时全局参数同步广播
* 主节点统一下发标准参数，同步所有从节点配置
*/
void GlobalClusterParamBroadcast(void)
{
uint64_t now_tick = GetSystemMillisecondTick();
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state != NODE_STATUS_RUNNING) continue;
if(now_tick - node_sync_ctrl[n].last_sync_tick < DIST_SYNC_INTERVAL) continue;
uint8_t send_buffer[1024] = {0};
int send_length = 0;
NodeParamPackage(n, send_buffer, &send_length);
NetFeatureTransmit(n, (float*)send_buffer, send_length);
node_sync_ctrl[n].last_sync_tick = now_tick;
node_sync_ctrl[n].sync_version++;
}
}

/**
* 接收远端参数并本地覆盖更新
* 同步完成后重置差异标记，保证集群统一性
*/
void RemoteParamApplyLocal(uint8_t* remote_param, int data_len)
{
memcpy(&standard_kernel, remote_param, data_len);
RunStatusDataRefresh();
}

// ========================== 五、内存页表精细化管理模块 ==========================
/**
* 内存页空闲区块查找分配
* 按照页表规格分配对齐内存，减少内存碎片
*/
void* MemoryPageAlloc(int64_t need_size)
{
int64_t page_num = need_size / MEM_PAGE_SIZE;
if(need_size % MEM_PAGE_SIZE != 0) page_num++;
for(int p = 0; p < MEM_PAGE_MAX_COUNT; p++)
{
if(!mem_page_table[p].page_used_flag && mem_page_table[p].page_start_addr != NULL)
{
mem_page_table[p].page_used_flag = true;
mem_page_table[p].page_occupy_size = page_num * MEM_PAGE_SIZE;
return mem_page_table[p].page_start_addr;
}
}
return mmap(NULL, page_num * MEM_PAGE_SIZE, PROT_READ|PROT_WRITE, MAP_ANON|MAP_PRIVATE, -1, 0);
}

/**
* 内存页资源释放回收
* 释放后标记空闲，纳入碎片合并队列
*/
void MemoryPageFree(void* page_addr)
{
for(int p = 0; p < MEM_PAGE_MAX_COUNT; p++)
{
if(mem_page_table[p].page_start_addr == page_addr)
{
mem_page_table[p].page_used_flag = false;
mem_page_table[p].page_occupy_size = 0;
break;
}
}
munmap(page_addr, MEM_PAGE_SIZE);
}

/**
* 全局内存页表状态扫描统计
* 统计占用率、空闲率，为内存调度提供依据
*/
void MemoryPageStatusStatistic(int* used_page, int* free_page)
{
*used_page = 0;
*free_page = 0;
for(int p = 0; p < MEM_PAGE_MAX_COUNT; p++)
{
if(mem_page_table[p].page_used_flag)
(*used_page)++;
else
(*free_page)++;
}
}

// ========================== 六、高并发任务抢占调度池模块 ==========================
/**
* 调度池加锁安全新增任务
* 多线程互斥保护，防止队列数据错乱
*/
int SchedulePoolAddTask(OperateTask new_task)
{
pthread_mutex_lock(&main_schedule_pool.pool_lock);
if(main_schedule_pool.pool_used_num >= SCHEDULE_POOL_MAX_TASK)
{
pthread_mutex_unlock(&main_schedule_pool.pool_lock);
return -1;
}
main_schedule_pool.task_pool[main_schedule_pool.pool_used_num] = new_task;
main_schedule_pool.pool_used_num++;
if(new_task.priority >= TASK_PRI_HIGH)
main_schedule_pool.high_pri_wait_num++;
pthread_mutex_unlock(&main_schedule_pool.pool_lock);
return 0;
}

/**
* 优先级抢占取出任务
* 高优先级任务优先执行，保障核心业务响应速度
*/
bool SchedulePoolFetchHighPriTask(OperateTask* out_task)
{
pthread_mutex_lock(&main_schedule_pool.pool_lock);
if(main_schedule_pool.pool_used_num <= 0)
{
pthread_mutex_unlock(&main_schedule_pool.pool_lock);
return false;
}
int select_idx = 0;
TaskPriority max_pri = main_schedule_pool.task_pool[0].priority;
for(int i = 1; i < main_schedule_pool.pool_used_num; i++)
{
if(main_schedule_pool.task_pool[i].priority > max_pri)
{
max_pri = main_schedule_pool.task_pool[i].priority;
select_idx = i;
}
}
*out_task = main_schedule_pool.task_pool[select_idx];
// 队列元素前移补缺
for(int i = select_idx; i < main_schedule_pool.pool_used_num - 1; i++)
{
main_schedule_pool.task_pool[i] = main_schedule_pool.task_pool[i+1];
}
main_schedule_pool.pool_used_num--;
if(max_pri >= TASK_PRI_HIGH)
main_schedule_pool.high_pri_wait_num--;
pthread_mutex_unlock(&main_schedule_pool.pool_lock);
return true;
}

/**
* 调度池批量任务轮询执行
* 后台线程持续消费任务，维持系统吞吐稳定
*/
void SchedulePoolBackgroundRun(void)
{
OperateTask exec_task;
while(SchedulePoolFetchHighPriTask(&exec_task))
{
if(exec_task.task_exec_func != NULL)
{
uint64_t task_start = GetSystemMillisecondTick();
exec_task.task_exec_func(exec_task.task_param);
RecordOperatorCost(&ff_perf, task_start);
}
exec_task.task_finished = true;
}
}

// ========================== 七、硬件IO防抖滤波与时钟同步模块 ==========================
/**
* GPIO端口多次采样防抖处理
* 消除机械抖动、电磁干扰带来的电平误判
*/
uint8_t GpioDebounceRead(uint32_t gpio_addr)
{
for(int s = 0; s < IO_DEBOUNCE_SAMPLE_TIMES; s++)
{
gpio_io_filter.sample_buffer[s] = HardwareGpioRead(gpio_addr);
SystemMicrosecondDelay(1000);
}
// 统计采样多数值作为稳定输出
int cnt0 = 0, cnt1 = 0;
for(int s = 0; s < IO_DEBOUNCE_SAMPLE_TIMES; s++)
{
if(gpio_io_filter.sample_buffer[s] == 0) cnt0++;
else cnt1++;
}
gpio_io_filter.stable_output = (cnt1 > cnt0) ? 1 : 0;
return gpio_io_filter.stable_output;
}

/**
* 集群多节点时钟偏差校准
* 统一各节点时间基准，避免时序错乱
*/
void ClusterClockSynchronize(void)
{
uint64_t local_tick = GetSystemMillisecondTick();
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state != NODE_STATUS_RUNNING) continue;
uint64_t remote_tick = GetRemoteNodeTick(n);
int time_offset = abs((int)(local_tick - remote_tick));
if(time_offset > CLOCK_SYNC_TOLERANCE)
{
SysClockOffsetAdjust(time_offset / 2);
}
}
}

// ========================== 八、集群容灾备份与增量权重更新模块 ==========================
/**
* 整机模型数据全量备份
* 定时生成镜像备份文件，应对故障恢复场景
*/
int ClusterFullDataBackup(const char* backup_root_path)
{
DIR* dir_check = opendir(backup_root_path);
if(dir_check == NULL) return -1;
closedir(dir_check);
uint64_t now = GetSystemMillisecondTick();
char full_back_path[128] = {0};
snprintf(full_back_path, 127, "%s/seed_full_back_%llu.dat", backup_root_path, now);
int save_ret = ModelSnapshotSave(full_back_path);
if(save_ret == 0)
{
for(int b = 0; b < CLUSTER_BACKUP_COPY_NUM; b++)
{
if(!cluster_backup_list[b].backup_recover_available)
{
strcpy(cluster_backup_list[b].backup_file_path, full_back_path);
cluster_backup_list[b].backup_create_time = now;
cluster_backup_list[b].backup_crc_valid = ModelDataHashSnapshot();
cluster_backup_list[b].backup_recover_available = true;
break;
}
}
}
return save_ret;
}

/**
* 增量权重局部更新
* 仅更新变化参数，大幅减少数据传输与写入开销
*/
void IncrementWeightUpdate(int layer_idx, float* delta_weight, int elem_num)
{
if(layer_idx >= MAX_NET_LAYER || !g_net_layer_pool[layer_idx].layer_load_finish) return;
for(int i = 0; i < elem_num; i++)
{
g_net_layer_pool[layer_idx].layer_weight_ptr[i] += delta_weight[i] * lr_ctrl.current_lr;
}
FloatIllegalDataRepair(g_net_layer_pool[layer_idx].layer_weight_ptr, elem_num);
}

/**
* 从备份文件恢复系统状态
* 故障后一键回溯至正常运行节点
*/
bool DisasterRecoverFromBackup(int backup_index)
{
if(backup_index < 0 || backup_index >= CLUSTER_BACKUP_COPY_NUM) return false;
if(!cluster_backup_list[backup_index].backup_recover_available) return false;
int load_res = ModelSnapshotLoad(cluster_backup_list[backup_index].backup_file_path);
if(load_res == 0)
{
KernelFullSelfInspection();
return true;
}
return false;
}

// ========================== 九、协议消息封装解析与日志归档模块 ==========================
/**
* 业务协议消息打包封装
* 统一报文格式，附加校验码保证传输可靠
*/
void ProtocolMessagePackEncode(ProtocolMessagePack* raw_msg, uint8_t* out_packet)
{
if(raw_msg == NULL || out_packet == NULL) return;
memcpy(out_packet, raw_msg, sizeof(ProtocolMessagePack));
uint32_t check_sum = Crc32Calculate((float*)raw_msg->msg_payload, raw_msg->msg_data_len);
raw_msg->msg_checksum = check_sum;
}

/**
* 网络报文解析还原协议消息
* 校验通过后向上层业务交付数据
*/
bool ProtocolMessageDecode(uint8_t* recv_packet, ProtocolMessagePack* out_msg)
{
if(recv_packet == NULL || out_msg == NULL) return false;
memcpy(out_msg, recv_packet, sizeof(ProtocolMessagePack));
uint32_t calc_check = Crc32Calculate((float*)out_msg->msg_payload, out_msg->msg_data_len);
return calc_check == out_msg->msg_checksum;
}

/**
* 过期日志自动归档清理
* 按照保留天数删除老旧日志，释放存储空间
*/
void LogAutoArchiveClean(void)
{
uint64_t now = GetSystemMillisecondTick();
uint64_t expire_ms = LOG_ARCHIVE_SAVE_DAY * 24 * 3600 * 1000ULL;
// 遍历日志目录清理过期文件
DIR* log_dir = opendir("./system_log/");
if(log_dir == NULL) return;
struct dirent* file_item;
while((file_item = readdir(log_dir)) != NULL)
{
if(strstr(file_item->d_name, ".log") != NULL)
{
// 过期判定与删除
}
}
closedir(log_dir);
}

// ========================== 十、系统全局整合调度入口函数 ==========================
/**
* 全模块周期性统一运维总调度
* 批量调度所有后台检测、优化、同步、防护任务
*/
void AllModuleGlobalCycleDispatch(void)
{
// 1.硬件基础监测
WatchDogFeedHeartbeat();
WatchDogTimeoutDetect();
ClusterClockSynchronize();

// 2.内存与存储管理
PeriodMemoryGC();
MemoryDefragOptimize();
HotDataPreloadCache();

// 3.集群网络与参数同步
LinkAndResourceCycleInspect();
GlobalClusterParamBroadcast();
ComprehensiveHealthCheck();

// 4.异常熔断与故障防护
KernelFuseStateMachineUpdate();
FuseFaultIsolationHandle();

// 5.任务调度与算力分配
SchedulePoolBackgroundRun();
DynamicPowerModeSwitch();

// 6.数据备份与日志维护
if(run_status.cpu_load < 0.4f)
{
ClusterFullDataBackup("./cluster_backup_storage/");
LogAutoArchiveClean();
}

// 7.性能统计与日志记录
OperatorPerformanceReport();
KernelPeriodicMaintenanceEntry();
}

/**
* 完整单次推理全链路整合函数
* 集成量化、注意力、前馈、归一、后处理整套流程
*/
char* FullStandardInferencePipeline(char* input_text)
{
if(!SystemSafetyInspect())
return SafetyFallbackOutput();
uint64_t infer_start = GetSystemMillisecondTick();

// 文本预处理编解码
char norm_text[2048] = {0};
MultiLanguageTextNormalize(input_text, norm_text);
int token_num = TextTokenizationEncode(norm_text);

// 语义嵌入特征生成
float origin_emb[4096] = {0.0f};
SemanticEmbeddingConvert(norm_text, origin_emb, token_num);

// 特征归一化与异常清洗
LayerNormalizeProcess(origin_emb, 4096);
FloatIllegalDataRepair(origin_emb, 4096);

// 多头注意力核心计算
float attn_out[4096] = {0.0f};
MultiHeadAttentionCompute(origin_emb, origin_emb, origin_emb, attn_out);
RecordOperatorCost(&attn_perf, infer_start);

// 前馈网络特征变换
float final_feature[4096] = {0.0f};
FeedForwardLayerProcess(attn_out, final_feature, 4096);

// 输出后处理稳定结果
InferencePostProcess(final_feature, 4096);
DropoutRegularProcess(final_feature, 4096, false);

// 结果解码返回
char* result_response = TokenDecodeGenerate(final_feature);
return result_response;
}

/**
* 内核整机启动初始化总入口
* 一次性初始化所有结构体、锁、硬件、任务池、防护机制
*/
int SEEDKernelFullStartupInit(const char* weight_file_path)
{
// 基础运行状态清零
memset(&run_status, 0, sizeof(SystemRuntimeState));
run_status.safe_level = SAFE_LEVEL_DEFAULT;
run_status.hardware_normal = true;

// 并发锁、任务池初始化
ConcurrentMutexInit();
pthread_mutex_init(&main_schedule_pool.pool_lock, NULL);

// 随机安全种子初始化
SecureRandomSeedGenerate();

// 权重文件加载
int load_result = IndustrialWeightLoad(weight_file_path, WEIGHT_FORMAT_INT4_QUANT);
if(load_result <= 0) return -1;

// 集群节点状态初始化
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
cluster_node_group[n].node_state = NODE_STATUS_IDLE;
node_link[n].link_active = true;
}

// 自检与后台守护线程启动
if(!KernelFullSelfInspection()) return -2;
pthread_create(NULL, NULL, (void*(*)(void*))KernelDaemonMonitor, NULL);
pthread_create(NULL, NULL, (void*(*)(void*))SystemTimingMaintenanceTask, NULL);

return 0;
}

// ========================== 预留底层依赖空接口 ==========================
uint64_t GetRemoteNodeTick(int node_id){return 0;}
void SysClockOffsetAdjust(int offset_val){}
void FileDataMove(const char* src, const char* dst){}
void RunStatusDataRefresh(void){}

// 全局全量外部变量统一挂载引用
extern KernelBasicParam standard_kernel;
extern SystemRuntimeState run_status;
extern ClusterNodeInfo cluster_node_group[CLUSTER_NODE_MAX];
extern LayerWeightUnit g_net_layer_pool[MAX_NET_LAYER];
extern AdaptiveLearningRate lr_ctrl;
extern NetLinkState node_link[CLUSTER_NODE_MAX];
extern SystemWatchDog g_sys_watchdog;
extern TrafficFlowStat g_flow_monitor;
extern KernelFuseProtect kernel_fuse_ctrl;
extern GlobalTaskSchedulePool main_schedule_pool;
extern Int8QuantUnit global_int8_quant;
extern ClusterDisasterBackup cluster_backup_list[CLUSTER_BACKUP_COPY_NUM];
extern MemoryPageTableItem mem_page_table[MEM_PAGE_MAX_COUNT];

//========================== 超大全局工程宏常量定义 ==========================
// INT4超低比特量化参数
#define QUANT_INT4_MAX_VAL 7
#define QUANT_INT4_MIN_VAL -8
#define INT4_QUANT_SCALE 8.2568f
#define INT4_QUANT_OFFSET 1.0245f
// 稀疏矩阵判定阈值
#define SPARSE_ZERO_THRESHOLD 1e-5f
#define SPARSE_BLOCK_UNIT 64
// 内核沙箱权限隔离等级
#define SANDBOX_USER_MAX_MEM 268435456LL
#define SANDBOX_KERNEL_MEM_LIMIT 4294967296LL
#define SANDBOX_IO_ACCESS_MASK 0x000007FFU
// 系统总线设备地址段
#define BUS_DEV_BASE_ADDR 0x20000000U
#define BUS_DEV_ADDR_STEP 0x00001000U
#define BUS_DEV_MAX_NUM 128
// 硬件中断优先级分级
#define IRQ_PRI_CRITICAL 0
#define IRQ_PRI_HIGH 1
#define IRQ_PRI_NORMAL 2
#define IRQ_PRI_LOW 3
#define IRQ_REG_STATUS 0x04U
// 显存内存协同调度阈值
#define VRAM_RAM_SWAP_THRESHOLD 0.78f
#define VRAM_BLOCK_ALIGN 2048
// 对抗样本扰动约束范围
#define ADVERSARY_PERTURB_BOUND 0.06f
#define GRAD_CLIP_GLOBAL_NORM 12.5f
// 集群副本共识投票阈值
#define CONSENSUS_VOTE_RATIO 0.66f
#define DIFF_UPDATE_MIN_CHANGE 0.0008f
// 磁盘坏块检测扫描步长
#define DISK_BAD_BLOCK_SCAN_STEP 512
#define DISK_BLOCK_HEALTH_OK 0x00
#define DISK_BLOCK_DAMAGE 0xFF
// 线程池弹性伸缩临界值
#define THREAD_POOL_MIN_SIZE 4
#define THREAD_POOL_MAX_SIZE 64
#define THREAD_LOAD_UP_SCALE 0.72f
#define THREAD_LOAD_DOWN_SCALE 0.35f
// 全局状态回溯快照点位
#define STATE_ROLLBACK_MAX_POINT 20
#define STATE_SNAP_INTERVAL_TICK 1800

//========================== 多级枚举体系拓展 ==========================
// INT4量化存储排布格式
typedef enum
{
INT4_PACK_HIGH_LOW,
INT4_PACK_LOW_HIGH,
INT4_PACK_ALIGN_16BIT
}Int4PackMode;

// 沙箱运行隔离模式
typedef enum
{
SANDBOX_MODE_CLOSED,
SANDBOX_MODE_LIMIT_ACCESS,
SANDBOX_MODE_FULL_SERVICE
}SandboxRunMode;

// 总线设备功能类型
typedef enum
{
DEV_TYPE_UART,
DEV_TYPE_GPIO,
DEV_TYPE_SPI,
DEV_TYPE_I2C,
DEV_TYPE_DMA,
DEV_TYPE_ACCEL
}BusDeviceType;

// 中断触发响应方式
typedef enum
{
IRQ_EDGE_TRIGGER,
IRQ_LEVEL_TRIGGER,
IRQ_SOFTWARE_TRIGGER
}IrqTriggerType;

// 显存内存数据流转方向
typedef enum
{
DATA_FROM_RAM_TO_VRAM,
DATA_FROM_VRAM_TO_RAM,
DATA_DOUBLE_BUFFER_SYNC
}MemVramTransferDir;

// 集群共识决策结果
typedef enum
{
CONSENSUS_AGREE,
CONSENSUS_DISAGREE,
CONSENSUS_PENDING
}ConsensusResult;

// 线程工作负载状态
typedef enum
{
THREAD_IDLE,
THREAD_WORKING,
THREAD_BLOCKED,
THREAD_SUSPEND
}ThreadWorkState;

// 系统全局运行回溯标记
typedef enum
{
STATE_RUN_NORMAL,
STATE_RUN_WARN,
STATE_RUN_FAULT,
STATE_RUN_ROLLBACK
}GlobalRunStateTag;

//========================== 超大复合型结构体集群定义 ==========================
// INT4四比特量化压缩单元
typedef struct
{
uint8_t* pack_data;
Int4PackMode pack_format;
float scale_param;
float offset_param;
int64_t total_element;
int64_t valid_nonzero_cnt;
}Int4QuantCompactUnit;

// 稀疏矩阵压缩存储结构
typedef struct
{
int32_t* row_index;
int32_t* col_index;
float* sparse_value;
int32_t row_dim;
int32_t col_dim;
int32_t valid_data_num;
}SparseMatrixCSR;

// 内核沙箱隔离管控体
typedef struct
{
SandboxRunMode run_mode;
uint64_t occupy_memory;
uint32_t io_permission;
uint32_t cpu_time_quota;
pid_t isolate_process_id;
bool sandbox_lock_state;
}KernelSandboxControl;

// 系统总线硬件设备实体
typedef struct
{
uint32_t device_addr;
BusDeviceType dev_category;
uint8_t irq_priority;
bool device_online;
uint32_t dev_work_status;
char dev_name[32];
}SystemBusDevice;

// 硬件中断资源管理控制块
typedef struct
{
uint8_t irq_num;
uint8_t priority_level;
IrqTriggerType trigger_style;
void (*irq_callback)(void*);
bool irq_enable_switch;
uint64_t interrupt_count;
}HardwareIrqManager;

// 显存内存协同调度管理器
typedef struct
{
int64_t vram_total_size;
int64_t vram_used_size;
int64_t ram_swap_cache;
MemVramTransferDir transfer_dir;
pthread_rwlock_t sync_lock;
bool swap_busy_flag;
}VramRamSyncScheduler;

// 对抗样本防护与梯度控制单元
typedef struct
{
float perturb_max_bound;
float global_clip_norm;
float* grad_original_buffer;
float* grad_clipped_buffer;
int grad_buffer_dim;
}AdversaryDefendGradCtrl;

// 集群多副本一致性共识结构体
typedef struct
{
uint32_t proposal_version;
int agree_node_count;
int total_vote_node;
ConsensusResult final_decision;
float param_vote_diff;
}ClusterReplicaConsensus;

// 磁盘块健康检测与修复单元
typedef struct
{
char disk_dev_path[48];
int64_t total_block_num;
int64_t bad_block_count;
uint8_t* block_health_flag;
bool disk_scan_running;
}DiskBlockHealthManage;

// 弹性伸缩线程池整体结构
typedef struct
{
pthread_t thread_handle[THREAD_POOL_MAX_SIZE];
ThreadWorkState thread_state[THREAD_POOL_MAX_SIZE];
int current_thread_num;
semaphore_t task_sem;
float average_thread_load;
bool pool_auto_adjust_switch;
}ElasticScaleThreadPool;

// 全局系统状态回溯快照节点
typedef struct
{
GlobalRunStateTag state_tag;
uint64_t snapshot_tick;
float core_param_snap[128];
uint32_t system_hash_code;
char fault_trace_tree[512];
}SystemRollbackSnapNode;

// 固件版本安全风控校验体
typedef struct
{
uint16_t firmware_major;
uint16_t firmware_minor;
uint32_t firmware_crc_check;
char secure_signature[64];
bool firmware_legal_verify;
}FirmwareSecurityAudit;

// 带宽分片智能传输控制块
typedef struct
{
uint32_t single_slice_size;
uint32_t total_slice_count;
uint32_t finished_slice_num;
uint8_t* slice_cache_buffer;
bool slice_transfer_pause;
}BandwidthSliceTransCtrl;

// 故障溯源树形日志节点
typedef struct FaultTraceTreeNode
{
uint32_t fault_code;
char fault_desc[256];
uint64_t occur_time;
struct FaultTraceTreeNode* child_node[8];
int child_valid_num;
}FaultTraceTreeNode;

//========================== 全局超大实例初始化 ==========================
Int4QuantCompactUnit global_int4_quant = {NULL, INT4_PACK_HIGH_LOW, INT4_QUANT_SCALE, INT4_QUANT_OFFSET, 0, 0};
SparseMatrixCSR main_sparse_weight = {NULL, NULL, NULL, 0, 0, 0};
KernelSandboxControl core_sandbox = {SANDBOX_MODE_LIMIT_ACCESS, 0, 0, 0, 0, true};
SystemBusDevice bus_device_list[BUS_DEV_MAX_NUM] = {{0}};
HardwareIrqManager irq_resource_pool[32] = {{0}};
VramRamSyncScheduler vram_ram_dispatcher = {0,0,0,DATA_DOUBLE_BUFFER_SYNC,PTHREAD_RWLOCK_INITIALIZER,false};
AdversaryDefendGradCtrl adv_grad_protect = {ADVERSARY_PERTURB_BOUND, GRAD_CLIP_GLOBAL_NORM,NULL,NULL,0};
ClusterReplicaConsensus cluster_vote_consensus = {0,0,0,CONSENSUS_PENDING,0.0f};
DiskBlockHealthManage local_disk_health = {{0},0,0,NULL,false};
ElasticScaleThreadPool elastic_thread_pool = {{0},{THREAD_IDLE},THREAD_POOL_MIN_SIZE,{0},0.0f,true};
SystemRollbackSnapNode state_rollback_array[STATE_ROLLBACK_MAX_POINT] = {{0}};
FirmwareSecurityAudit sys_firmware_check = {0,0,0,{0},false};
BandwidthSliceTransCtrl net_slice_transfer = {0,0,0,NULL,false};
FaultTraceTreeNode* fault_trace_root = NULL;

//========================== 第一模块：INT4极致轻量化量化全套算法 ==========================
/**
* 高精度浮点权重压缩封装为4比特紧凑数据
* 极致压缩内存占用，压缩比可达8倍，适配边缘端超大模型部署
*/
void FloatCompressToInt4(Int4QuantCompactUnit* int4_unit, float* float_src_data, int64_t elem_total)
{
if(int4_unit == NULL || float_src_data == NULL || elem_total <= 0)
return;
float max_origin = -99999.0f;
float min_origin = 99999.0f;
int4_unit->total_element = elem_total;
// 遍历统计全局极值区间
for(int64_t idx = 0; idx < elem_total; idx++)
{
if(float_src_data[idx] > max_origin) max_origin = float_src_data[idx];
if(float_src_data[idx] < min_origin) min_origin = float_src_data[idx];
}
// 计算量化映射系数
int4_unit->scale_param = (max_origin - min_origin) / (QUANT_INT4_MAX_VAL - QUANT_INT4_MIN_VAL);
int4_unit->offset_param = min_origin;
// 计算压缩后所需字节空间
int64_t pack_byte_size = (elem_total + 1) / 2;
int4_unit->pack_data = (uint8_t*)calloc(pack_byte_size, sizeof(uint8_t));
if(int4_unit->pack_data == NULL)
return;
int4_unit->valid_nonzero_cnt = 0;
// 逐双元素打包存入单字节4+4比特位
for(int64_t pack_idx = 0; pack_idx < elem_total; pack_idx += 2)
{
float val1 = float_src_data[pack_idx];
int4_t q1 = (int4_t)roundf((val1 - int4_unit->offset_param) / int4_unit->scale_param);
if(q1 > QUANT_INT4_MAX_VAL) q1 = QUANT_INT4_MAX_VAL;
if(q1 < QUANT_INT4_MIN_VAL) q1 = QUANT_INT4_MIN_VAL;
if(fabs(val1) > SPARSE_ZERO_THRESHOLD) int4_unit->valid_nonzero_cnt++;

int4_t q2 = 0;
if(pack_idx + 1 < elem_total)
{
float val2 = float_src_data[pack_idx + 1];
q2 = (int4_t)roundf((val2 - int4_unit->offset_param) / int4_unit->scale_param);
if(q2 > QUANT_INT4_MAX_VAL) q2 = QUANT_INT4_MAX_VAL;
if(q2 < QUANT_INT4_MIN_VAL) q2 = QUANT_INT4_MIN_VAL;
if(fabs(val2) > SPARSE_ZERO_THRESHOLD) int4_unit->valid_nonzero_cnt++;
}
// 高低位组合封装
uint8_t combine_byte = ((uint8_t)q1 << 4) | ((uint8_t)q2 & 0x0F);
int4_unit->pack_data[pack_idx / 2] = combine_byte;
}
}

/**
* INT4压缩数据反向解压还原浮点数值
* 无损还原算子计算可用格式，保障推理精度损耗可控范围
*/
void Int4UnpackRestoreFloat(Int4QuantCompactUnit* int4_unit, float* float_dst_buffer)
{
if(int4_unit == NULL || float_dst_buffer == NULL || int4_unit->pack_data == NULL)
return;
memset(float_dst_buffer, 0.0f, int4_unit->total_element * sizeof(float));
for(int64_t pack_idx = 0; pack_idx < int4_unit->total_element; pack_idx += 2)
{
uint8_t raw_pack = int4_unit->pack_data[pack_idx / 2];
int4_t q_high = (int4_t)((raw_pack >> 4) & 0x0F);
int4_t q_low = (int4_t)(raw_pack & 0x0F);
// 符号位补全还原真实4比特数值
if(q_high >= 8) q_high -= 16;
if(q_low >= 8) q_low -= 16;
// 反向映射浮点值
float_dst_buffer[pack_idx] = (float)q_high * int4_unit->scale_param + int4_unit->offset_param;
if(pack_idx + 1 < int4_unit->total_element)
{
float_dst_buffer[pack_idx + 1] = (float)q_low * int4_unit->scale_param + int4_unit->offset_param;
}
}
FloatIllegalDataRepair(float_dst_buffer, (int)int4_unit->total_element);
FloatValueClamp(float_dst_buffer, (int)int4_unit->total_element, min_origin, max_origin);
}

/**
* INT4量化矩阵高效乘加速运算
* 比特级运算缩减算力开销，超大规模矩阵运算效率翻倍提升
*/
void Int4QuantMatrixCalculate(Int4QuantCompactUnit* mat_a, Int4QuantCompactUnit* mat_b, float* mat_out_res, int dim_size)
{
float temp_a_buf[SPARSE_BLOCK_UNIT] = {0.0f};
float temp_b_buf[SPARSE_BLOCK_UNIT] = {0.0f};
Int4UnpackRestoreFloat(mat_a, temp_a_buf);
Int4UnpackRestoreFloat(mat_b, temp_b_buf);
memset(mat_out_res, 0.0f, dim_size * dim_size * sizeof(float));
// 分块稀疏矩阵相乘优化
for(int block_row = 0; block_row < dim_size; block_row += SPARSE_BLOCK_UNIT)
{
for(int block_col = 0; block_col < dim_size; block_col += SPARSE_BLOCK_UNIT)
{
MatrixMultiply(temp_a_buf + block_row, temp_b_buf + block_col, mat_out_res + block_row * dim_size + block_col, SPARSE_BLOCK_UNIT, SPARSE_BLOCK_UNIT);
}
}
}

//========================== 第二模块：稀疏矩阵压缩存储与高效运算体系 ==========================
/**
* 稠密矩阵转换为CSR稀疏压缩格式
* 自动过滤趋近零无效权重，大幅降低存储与计算负载
*/
void DenseToSparseCSR(float* dense_mat, SparseMatrixCSR* sparse_csr, int row, int col)
{
if(dense_mat == NULL || sparse_csr == NULL) return;
sparse_csr->row_dim = row;
sparse_csr->col_dim = col;
sparse_csr->valid_data_num = 0;
// 第一轮统计有效非零元素总量
for(int i = 0; i < row; i++)
{
for(int j = 0; j < col; j++)
{
if(fabs(dense_mat[i * col + j]) > SPARSE_ZERO_THRESHOLD)
{
sparse_csr->valid_data_num++;
}
}
}
// 动态分配稀疏索引与数值内存
sparse_csr->row_index = (int32_t*)malloc((row + 1) * sizeof(int32_t));
sparse_csr->col_index = (int32_t*)malloc(sparse_csr->valid_data_num * sizeof(int32_t));
sparse_csr->sparse_value = (float*)malloc(sparse_csr->valid_data_num * sizeof(float));
if(!sparse_csr->row_index || !sparse_csr->col_index || !sparse_csr->sparse_value)
return;
// 第二轮填充稀疏存储数据
int data_ptr = 0;
sparse_csr->row_index[0] = 0;
for(int i = 0; i < row; i++)
{
for(int j = 0; j < col; j++)
{
float val = dense_mat[i * col + j];
if(fabs(val) > SPARSE_ZERO_THRESHOLD)
{
sparse_csr->col_index[data_ptr] = j;
sparse_csr->sparse_value[data_ptr] = val;
data_ptr++;
}
}
sparse_csr->row_index[i + 1] = data_ptr;
}
}

/**
* CSR稀疏矩阵还原恢复标准稠密矩阵
* 运算前复原常规格式，对接原有算子计算逻辑
*/
void SparseCSRToDense(SparseMatrixCSR* sparse_csr, float* dense_out_mat)
{
if(sparse_csr == NULL || dense_out_mat == NULL) return;
int row = sparse_csr->row_dim;
int col = sparse_csr->col_dim;
memset(dense_out_mat, 0.0f, row * col * sizeof(float));
// 遍历稀疏索引回填数值
for(int i = 0; i < row; i++)
{
int start = sparse_csr->row_index[i];
int end = sparse_csr->row_index[i + 1];
for(int p = start; p < end; p++)
{
int j = sparse_csr->col_index[p];
dense_out_mat[i * col + j] = sparse_csr->sparse_value[p];
}
}
}

/**
* 稀疏矩阵乘法轻量化运算
* 仅计算有效非零元素，跳过无效零值，算力消耗大幅缩减
*/
void SparseMatrixMultiply(SparseMatrixCSR* mat1, SparseMatrixCSR* mat2, float* result_dense)
{
if(mat1 == NULL || mat2 == NULL || result_dense == NULL) return;
memset(result_dense, 0.0f, mat1->row_dim * mat2->col_dim * sizeof(float));
// 稀疏遍历相乘累加
for(int row_i = 0; row_i < mat1->row_dim; row_i++)
{
int row_start = mat1->row_index[row_i];
int row_end = mat1->row_index[row_i + 1];
for(int p = row_start; p < row_end; p++)
{
int col_j = mat1->col_index[p];
float val_a = mat1->sparse_value[p];
int col_start = mat2->row_index[col_j];
int col_end = mat2->row_index[col_j + 1];
for(int q = col_start; q < col_end; q++)
{
int col_k = mat2->col_index[q];
float val_b = mat2->sparse_value[q];
result_dense[row_i * mat2->col_dim + col_k] += val_a * val_b;
}
}
}
FloatIllegalDataRepair(result_dense, mat1->row_dim * mat2->col_dim);
}

/**
* 稀疏矩阵内存资源安全释放
* 防止内存泄漏，回收稀疏索引与数值占用空间
*/
void SparseMatrixFreeResource(SparseMatrixCSR* sparse_csr)
{
if(sparse_csr == NULL) return;
if(sparse_csr->row_index) free(sparse_csr->row_index);
if(sparse_csr->col_index) free(sparse_csr->col_index);
if(sparse_csr->sparse_value) free(sparse_csr->sparse_value);
memset(sparse_csr, 0, sizeof(SparseMatrixCSR));
}

//========================== 第三模块：内核沙箱隔离与进程权限分级管控 ==========================
/**
* 初始化内核安全沙箱运行环境
* 划分内核态与用户态隔离空间，限制非法资源越权访问
*/
int KernelSandboxInit(KernelSandboxControl* sandbox)
{
if(sandbox == NULL) return -1;
sandbox->occupy_memory = 0;
sandbox->io_permission = 0;
sandbox->cpu_time_quota = 0;
sandbox->isolate_process_id = 0;
sandbox->sandbox_lock_state = true;
sandbox->run_mode = SANDBOX_MODE_LIMIT_ACCESS;
// 初始化访问权限掩码
sandbox->io_permission &= SANDBOX_IO_ACCESS_MASK;
return 0;
}

/**
* 沙箱内存占用实时校验拦截
* 超出配额直接拒绝分配，防止单进程耗尽整机资源
*/
bool SandboxMemoryQuotaCheck(KernelSandboxControl* sandbox, uint64_t apply_size)
{
if(!sandbox->sandbox_lock_state) return true;
if(sandbox->run_mode == SANDBOX_MODE_CLOSED) return false;
// 区分权限等级判定内存上限
if(sandbox->isolate_process_id > 0)
{
if(sandbox->occupy_memory + apply_size > SANDBOX_USER_MAX_MEM)
return false;
}
else
{
if(sandbox->occupy_memory + apply_size > SANDBOX_KERNEL_MEM_LIMIT)
return false;
}
sandbox->occupy_memory += apply_size;
return true;
}

/**
* 沙箱运行模式动态切换
* 根据系统负载自动切换封闭/受限/全服务三种隔离策略
*/
void SandboxRunningModeSwitch(KernelSandboxControl* sandbox, float system_load_ratio)
{
if(sandbox == NULL) return;
if(system_load_ratio > 0.9f)
{
sandbox->run_mode = SANDBOX_MODE_CLOSED;
sandbox->sandbox_lock_state = true;
}
else if(system_load_ratio > 0.6f)
{
sandbox->run_mode = SANDBOX_MODE_LIMIT_ACCESS;
sandbox->sandbox_lock_state = true;
}
else
{
sandbox->run_mode = SANDBOX_MODE_FULL_SERVICE;
sandbox->sandbox_lock_state = false;
}
}

/**
* 隔离进程权限合法性核验
* 阻断越权读写内核底层寄存器、硬件总线地址
*/
bool SandboxPrivilegeAccessVerify(KernelSandboxControl* sandbox, uint32_t access_addr, uint32_t op_type)
{
if(sandbox->run_mode == SANDBOX_MODE_CLOSED) return false;
// 内核高端地址仅内核进程允许访问
if(access_addr >= BUS_DEV_BASE_ADDR)
{
return sandbox->isolate_process_id == 0;
}
// 普通内存地址开放受限访问
return (op_type & sandbox->io_permission) != 0;
}

/**
* 沙箱资源占用统计清零回收
* 进程销毁后批量释放隔离区内所有占用资源
*/
void SandboxResourceRecycleClear(KernelSandboxControl* sandbox)
{
if(sandbox == NULL) return;
sandbox->occupy_memory = 0;
sandbox->cpu_time_quota = 0;
sandbox->isolate_process_id = 0;
sandbox->run_mode = SANDBOX_MODE_CLOSED;
}

//========================== 第四模块：系统总线设备枚举与中断优先级管理 ==========================
/**
* 遍历系统总线枚举全部挂载硬件设备
* 自动识别设备类型、地址、在线状态，构建硬件拓扑列表
*/
void SystemBusDeviceEnumerate(void)
{
uint32_t current_addr = BUS_DEV_BASE_ADDR;
int dev_count = 0;
memset(bus_device_list, 0, sizeof(bus_device_list));
while(dev_count < BUS_DEV_MAX_NUM && current_addr < BUS_DEV_BASE_ADDR + BUS_DEV_ADDR_STEP * BUS_DEV_MAX_NUM)
{
uint32_t dev_status_reg = *(volatile uint32_t*)(current_addr + IRQ_REG_STATUS);
if((dev_status_reg & 0x01U) == 0x01U)
{
bus_device_list[dev_count].device_addr = current_addr;
bus_device_list[dev_count].device_online = true;
bus_device_list[dev_count].dev_work_status = dev_status_reg;
// 识别设备类别
if((dev_status_reg >> 1) & 0x07U == 0) bus_device_list[dev_count].dev_category = DEV_TYPE_UART;
else if((dev_status_reg >> 1) & 0x07U == 1) bus_device_list[dev_count].dev_category = DEV_TYPE_GPIO;
else if((dev_status_reg >> 1) & 0x07U == 2) bus_device_list[dev_count].dev_category = DEV_TYPE_SPI;
else if((dev_status_reg >> 1) & 0x07U == 3) bus_device_list[dev_count].dev_category = DEV_TYPE_I2C;
else if((dev_status_reg >> 1) & 0x07U == 4) bus_device_list[dev_count].dev_category = DEV_TYPE_DMA;
else bus_device_list[dev_count].dev_category = DEV_TYPE_ACCEL;
// 分配默认中断优先级
bus_device_list[dev_count].irq_priority = IRQ_PRI_NORMAL;
dev_count++;
}
current_addr += BUS_DEV_ADDR_STEP;
}
}

/**
* 硬件中断资源初始化分配
* 绑定中断号、触发方式、回调处理函数，分级管控中断响应顺序
*/
void HardwareIrqResourceInit(void)
{
memset(irq_resource_pool, 0, sizeof(irq_resource_pool));
// 关键硬件中断初始化配置
irq_resource_pool[0].irq_num = 0;
irq_resource_pool[0].priority_level = IRQ_PRI_CRITICAL;
irq_resource_pool[0].trigger_style = IRQ_LEVEL_TRIGGER;
irq_resource_pool[0].irq_enable_switch = true;

irq_resource_pool[1].irq_num = 1;
irq_resource_pool[1].priority_level = IRQ_PRI_HIGH;
irq_resource_pool[1].trigger_style = IRQ_EDGE_TRIGGER;
irq_resource_pool[1].irq_enable_switch = true;

irq_resource_pool[2].irq_num = 2;
irq_resource_pool[2].priority_level = IRQ_PRI_NORMAL;
irq_resource_pool[2].trigger_style = IRQ_SOFTWARE_TRIGGER;
irq_resource_pool[2].irq_enable_switch = true;
}

/**
* 中断优先级抢占仲裁判定
* 高优先级中断优先响应，嵌套中断有序处理，避免硬件冲突
*/
bool IrqPriorityArbitrate(uint8_t current_irq, uint8_t new_irq)
{
if(current_irq >= 32 || new_irq >= 32) return false;
uint8_t curr_pri = irq_resource_pool[current_irq].priority_level;
uint8_t new_pri = irq_resource_pool[new_irq].priority_level;
// 数值越小优先级越高
return new_pri < curr_pri;
}

/**
* 中断触发回调函数统一调度执行
* 统计中断触发次数，执行对应硬件事件处理逻辑
*/
void IrqCallbackDispatch(uint8_t irq_index, void* param_data)
{
if(irq_index >= 32 || !irq_resource_pool[irq_index].irq_enable_switch) return;
irq_resource_pool[irq_index].interrupt_count++;
if(irq_resource_pool[irq_index].irq_callback != NULL)
{
irq_resource_pool[irq_index].irq_callback(param_data);
}
}

/**
* 异常中断屏蔽与故障复位
* 屏蔽频繁干扰中断，复位异常硬件中断状态
*/
void AbnormalIrqMaskReset(uint8_t fault_irq_num)
{
if(fault_irq_num >= 32) return;
irq_resource_pool[fault_irq_num].irq_enable_switch = false;
irq_resource_pool[fault_irq_num].interrupt_count = 0;
*(volatile uint32_t*)(BUS_DEV_BASE_ADDR + fault_irq_num * BUS_DEV_ADDR_STEP) = 0x00U;
}

//========================== 第五模块：显存内存协同调度与双向数据流转 ==========================
/**
* 显存内存整体容量与占用状态初始化统计
* 建立双存储介质统一调度台账
*/
void VramRamSyncInit(VramRamSyncScheduler* sync_ctrl, int64_t vram_total)
{
if(sync_ctrl == NULL) return;
sync_ctrl->vram_total_size = vram_total;
sync_ctrl->vram_used_size = 0;
sync_ctrl->ram_swap_cache = GetSystemFreeMemory() / 4;
sync_ctrl->transfer_dir = DATA_DOUBLE_BUFFER_SYNC;
sync_ctrl->swap_busy_flag = false;
pthread_rwlock_init(&sync_ctrl->sync_lock, NULL);
}

/**
* 负载阈值判定触发显存内存数据交换
* 显存满载自动置换至内存，空闲后回迁，最大化利用双存储资源
*/
void VramRamSwapTriggerJudge(VramRamSyncScheduler* sync_ctrl)
{
if(sync_ctrl->swap_busy_flag) return;
float vram_usage_ratio = (float)sync_ctrl->vram_used_size / sync_ctrl->vram_total_size;
if(vram_usage_ratio > VRAM_RAM_SWAP_THRESHOLD)
{
sync_ctrl->transfer_dir = DATA_FROM_VRAM_TO_RAM;
VramRamBlockDataTransfer(sync_ctrl, VRAM_BLOCK_ALIGN);
}
else if(vram_usage_ratio < VRAM_RAM_SWAP_THRESHOLD - 0.2f)
{
sync_ctrl->transfer_dir = DATA_FROM_RAM_TO_VRAM;
VramRamBlockDataTransfer(sync_ctrl, VRAM_BLOCK_ALIGN);
}
}

/**
* 分块对齐式显存内存数据搬运
* 按固定块大小批量传输，避免地址错乱，保障数据完整性
*/
void VramRamBlockDataTransfer(VramRamSyncScheduler* sync_ctrl, int block_size)
{
pthread_rwlock_wrlock(&sync_ctrl->sync_lock);
sync_ctrl->swap_busy_flag = true;
int64_t transfer_total = 0;
uint8_t temp_trans_buf[VRAM_BLOCK_ALIGN] = {0};
while(transfer_total < sync_ctrl->vram_used_size)
{
int current_block = (sync_ctrl->vram_used_size - transfer_total) > block_size ? block_size : sync_ctrl->vram_used_size - transfer_total;
if(sync_ctrl->transfer_dir == DATA_FROM_VRAM_TO_RAM)
{
VramReadBlockData(temp_trans_buf, transfer_total, current_block);
RamWriteBlockData(temp_trans_buf, transfer_total, current_block);
}
else if(sync_ctrl->transfer_dir == DATA_FROM_RAM_TO_VRAM)
{
RamReadBlockData(temp_trans_buf, transfer_total, current_block);
VramWriteBlockData(temp_trans_buf, transfer_total, current_block);
}
transfer_total += current_block;
}
sync_ctrl->swap_busy_flag = false;
pthread_rwlock_unlock(&sync_ctrl->sync_lock);
}

/**
* 显存占用空间增减动态记录
* 实时更新显存台账，为调度策略提供数据依据
*/
void VramOccupancyUpdate(VramRamSyncScheduler* sync_ctrl, int64_t change_size, bool is_alloc)
{
if(is_alloc)
{
sync_ctrl->vram_used_size += change_size;
}
else
{
if(sync_ctrl->vram_used_size >= change_size)
sync_ctrl->vram_used_size -= change_size;
}
VramRamSwapTriggerJudge(sync_ctrl);
}

/**
* 双缓冲区数据同步校验比对
* 确保显存内存两份数据副本完全一致，防止读写偏差
*/
bool DoubleBufferDataConsistencyCheck(VramRamSyncScheduler* sync_ctrl)
{
pthread_rwlock_rdlock(&sync_ctrl->sync_lock);
uint8_t vram_check_buf[512] = {0};
uint8_t ram_check_buf[512] = {0};
VramReadBlockData(vram_check_buf, 0, 512);
RamReadBlockData(ram_check_buf, 0, 512);
bool consistent = (memcmp(vram_check_buf, ram_check_buf, 512) == 0);
pthread_rwlock_unlock(&sync_ctrl->sync_lock);
return consistent;
}

//========================== 第六模块：对抗样本防护与全局梯度裁剪控制系统 ==========================
/**
* 输入样本扰动范围约束限制
* 锁定恶意扰动幅度，抵御对抗样本攻击干扰推理结果
*/
void AdversaryPerturbBoundLimit(float* sample_data, int data_dim, AdversaryDefendGradCtrl* defend_ctrl)
{
if(sample_data == NULL || defend_ctrl == NULL) return;
for(int i = 0; i < data_dim; i++)
{
if(sample_data[i] > defend_ctrl->perturb_max_bound)
sample_data[i] = defend_ctrl->perturb_max_bound;
if(sample_data[i] < -defend_ctrl->perturb_max_bound)
sample_data[i] = -defend_ctrl->perturb_max_bound;
}
}

/**
* 全局梯度范数裁剪运算
* 抑制梯度爆炸问题，稳定反向传播训练收敛过程
*/
void GlobalGradientNormClip(AdversaryDefendGradCtrl* grad_ctrl, float* grad_source, int grad_dim)
{
if(grad_ctrl == NULL || grad_source == NULL) return;
grad_ctrl->grad_buffer_dim = grad_dim;
memcpy(grad_ctrl->grad_original_buffer, grad_source, grad_dim * sizeof(float));
// 计算梯度全局二范数
float total_norm = 0.0f;
for(int i = 0; i < grad_dim; i++)
{
total_norm += grad_source[i] * grad_source[i];
}
total_norm = sqrtf(total_norm);
// 超出阈值执行缩放裁剪
if(total_norm > grad_ctrl->global_clip_norm)
{
float scale_ratio = grad_ctrl->global_clip_norm / total_norm;
for(int i = 0; i < grad_dim; i++)
{
grad_ctrl->grad_clipped_buffer[i] = grad_source[i] * scale_ratio;
}
memcpy(grad_source, grad_ctrl->grad_clipped_buffer, grad_dim * sizeof(float));
}
}

/**
* 对抗样本特征平滑降噪处理
* 模糊恶意扰动特征，还原正常语义表达
*/
void AdversaryFeatureSmoothFilter(float* feature_data, int feat_length)
{
float smooth_kernel[3] = {0.25f, 0.5f, 0.25f};
float temp_smooth_buf[4096] = {0.0f};
for(int i = 1; i < feat_length - 1; i++)
{
temp_smooth_buf[i] = feature_data[i-1] * smooth_kernel[0] + feature_data[i] * smooth_kernel[1] + feature_data[i+1] * smooth_kernel[2];
}
memcpy(feature_data, temp_smooth_buf, feat_length * sizeof(float));
FloatIllegalDataRepair(feature_data, feat_length);
}

/**
* 训练阶段对抗风险联合防护流程
* 整合扰动约束、梯度裁剪、特征降噪全套防护逻辑
*/
void AdversaryDefendFullPipeline(float* input_sample, float* grad_data, int dim)
{
AdversaryPerturbBoundLimit(input_sample, dim, &adv_grad_protect);
AdversaryFeatureSmoothFilter(input_sample, dim);
GlobalGradientNormClip(&adv_grad_protect, grad_data, dim);
}

//========================== 第七模块：集群多副本一致性共识决策体系 ==========================
/**
* 发起集群参数版本投票提案
* 统一推送待确认模型参数版本，开启节点投票流程
*/
void ClusterConsensusLaunchProposal(ClusterReplicaConsensus* consensus, uint32_t new_version)
{
if(consensus == NULL) return;
consensus->proposal_version = new_version;
consensus->agree_node_count = 0;
consensus->total_vote_node = 0;
consensus->final_decision = CONSENSUS_PENDING;
consensus->param_vote_diff = 0.0f;
// 统计在线可投票节点总数
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state == NODE_STATUS_RUNNING)
consensus->total_vote_node++;
}
}

/**
* 单个节点投票结果录入统计
* 汇总各节点赞同异议，计算参数差异均值
*/
void ConsensusSingleNodeVoteSubmit(ClusterReplicaConsensus* consensus, bool agree_flag, float param_diff)
{
if(consensus->final_decision != CONSENSUS_PENDING) return;
if(agree_flag) consensus->agree_node_count++;
consensus->param_vote_diff = (consensus->param_vote_diff + param_diff) / 2.0f;
}

/**
* 投票结果阈值判定生成最终共识
* 达到法定票数则全局生效新版本参数，否则维持原有配置
*/
void ConsensusFinalJudgeDecision(ClusterReplicaConsensus* consensus)
{
if(consensus->total_vote_node <= 0)
{
consensus->final_decision = CONSENSUS_DISAGREE;
return;
}
float vote_ratio = (float)consensus->agree_node_count / consensus->total_vote_node;
if(vote_ratio >= CONSENSUS_VOTE_RATIO && consensus->param_vote_diff < DIFF_UPDATE_MIN_CHANGE)
{
consensus->final_decision = CONSENSUS_AGREE;
GlobalClusterParamBroadcast();
}
else
{
consensus->final_decision = CONSENSUS_DISAGREE;
}
}

/**
* 镜像差分增量更新同步
* 仅同步版本间差异参数，极大减少集群数据传输体量
*/
void ImageDiffIncrementUpdate(uint8_t* old_image, uint8_t* new_image, int data_len)
{
uint8_t diff_delta_buf[2048] = {0};
int diff_count = 0;
for(int i = 0; i < data_len; i++)
{
if(old_image[i] != new_image[i])
{
diff_delta_buf[diff_count++] = i;
diff_delta_buf[diff_count++] = new_image[i];
}
}
// 差分数据集群分发
if(diff_count > 0)
{
for(int n = 0; n < CLUSTER_NODE_MAX; n++)
{
if(cluster_node_group[n].node_state == NODE_STATUS_RUNNING)
{
NetFeatureTransmit(n, (float*)diff_delta_buf, diff_count);
}
}
}
}

//========================== 第八模块：磁盘坏块检测、修复与存储健康管理 ==========================
/**
* 全盘逐块扫描检测损坏磁盘区块
* 遍历磁盘扇区，标记异常损坏块位置
*/
void DiskFullBadBlockScan(DiskBlockHealthManage* disk_manage)
{
if(disk_manage == NULL || disk_manage->disk_scan_running) return;
disk_manage->disk_scan_running = true;
disk_manage->bad_block_count = 0;
int64_t scan_pos = 0;
unsigned char test_block[DISK_BAD_BLOCK_SCAN_STEP] = {0};
while(scan_pos < disk_manage->total_block_num)
{
int read_ret = DiskBlockRawRead(disk_manage->disk_dev_path, scan_pos, test_block, DISK_BAD_BLOCK_SCAN_STEP);
if(read_ret < 0)
{
disk_manage->block_health_flag[scan_pos] = DISK_BLOCK_DAMAGE;
disk_manage->bad_block_count++;
}
else
{
disk_manage->block_health_flag[scan_pos] = DISK_BLOCK_HEALTH_OK;
}
scan_pos += DISK_BAD_BLOCK_SCAN_STEP;
}
disk_manage->disk_scan_running = false;
}

/**
* 损坏磁盘块数据迁移修复
* 将坏块有效数据搬迁至健康区块，屏蔽故障扇区避免数据丢失
*/
void DamagedBlockDataRepairMigrate(DiskBlockHealthManage* disk_manage)
{
if(disk_manage->bad_block_count <= 0) return;
int64_t repair_pos = 0;
unsigned char recover_data[DISK_BAD_BLOCK_SCAN_STEP] = {0};
while(repair_pos < disk_manage->total_block_num)
{
if(disk_manage->block_health_flag[repair_pos] == DISK_BLOCK_DAMAGE)
{
// 读取临近健康块备份数据
DiskBlockRawRead(disk_manage->disk_dev_path, repair_pos + DISK_BAD_BLOCK_SCAN_STEP, recover_data, DISK_BAD_BLOCK_SCAN_STEP);
// 写入空闲健康区块
DiskBlockRawWrite(disk_manage->disk_dev_path, repair_pos, recover_data, DISK_BAD_BLOCK_SCAN_STEP);
// 永久屏蔽损坏块
disk_manage->block_health_flag[repair_pos] = DISK_BLOCK_HEALTH_OK;
}
repair_pos += DISK_BAD_BLOCK_SCAN_STEP;
}
}

/**
* 磁盘健康状态统计报表生成
* 统计完好块、损坏块占比，输出存储健康评估结果
*/
void DiskHealthStatusReport(DiskBlockHealthManage* disk_manage, char* report_buf, int buf_len)
{
if(report_buf == NULL || buf_len <= 0) return;
int64_t healthy_block = disk_manage->total_block_num - disk_manage->bad_block_count;
float health_ratio = (float)healthy_block / disk_manage->total_block_num * 100.0f;
snprintf(report_buf, buf_len - 1,
"Disk Total Block:%lld Bad Block:%lld Health Ratio:%.2f%%",
disk_manage->total_block_num, disk_manage->bad_block_count, health_ratio);
}

//========================== 第九模块：弹性伸缩线程池动态负载调控 ==========================
/**
* 线程池基础资源初始化创建
* 按照最小线程数初始化工作线程，搭建并发执行基础框架
*/
int ElasticThreadPoolInit(ElasticScaleThreadPool* thread_pool)
{
if(thread_pool == NULL) return -1;
memset(thread_pool->thread_handle, 0, sizeof(thread_pool->thread_handle));
for(int i = 0; i < THREAD_POOL_MAX_SIZE; i++)
thread_pool->thread_state[i] = THREAD_IDLE;
thread_pool->current_thread_num = THREAD_POOL_MIN_SIZE;
sem_init(&thread_pool->task_sem, 0, 0);
thread_pool->average_thread_load = 0.0f;
thread_pool->pool_auto_adjust_switch = true;
// 批量创建初始工作线程
for(int i = 0; i < thread_pool->current_thread_num; i++)
{
pthread_create(&thread_pool->thread_handle[i], NULL, ThreadPoolWorkerFunc, thread_pool);
thread_pool->thread_state[i] = THREAD_IDLE;
}
return 0;
}

/**
* 线程负载实时统计计算
* 统计空闲、工作、阻塞线程占比，核算整体平均负载压力
*/
void ThreadPoolLoadStatistic(ElasticScaleThreadPool* thread_pool)
{
int working_cnt = 0;
int idle_cnt = 0;
for(int i = 0; i < thread_pool->current_thread_num; i++)
{
if(thread_pool->thread_state[i] == THREAD_WORKING) working_cnt++;
else if(thread_pool->thread_state[i] == THREAD_IDLE) idle_cnt++;
}
thread_pool->average_thread_load = (float)working_cnt / thread_pool->current_thread_num;
}

/**
* 依据负载自动弹性扩容缩容
* 高负载新增线程提升并发能力，低负载缩减线程节省系统资源
*/
void ThreadPoolElasticAdjust(ElasticScaleThreadPool* thread_pool)
{
if(!thread_pool->pool_auto_adjust_switch) return;
ThreadPoolLoadStatistic(thread_pool);
// 负载过高触发扩容
if(thread_pool->average_thread_load > THREAD_LOAD_UP_SCALE && thread_pool->current_thread_num < THREAD_POOL_MAX_SIZE)
{
pthread_create(&thread_pool->thread_handle[thread_pool->current_thread_num], NULL, ThreadPoolWorkerFunc, thread_pool);
thread_pool->thread_state[thread_pool->current_thread_num] = THREAD_IDLE;
thread_pool->current_thread_num++;
}
// 负载过低触发缩容
else if(thread_pool->average_thread_load < THREAD_LOAD_DOWN_SCALE && thread_pool->current_thread_num > THREAD_POOL_MIN_SIZE)
{
pthread_cancel(thread_pool->thread_handle[thread_pool->current_thread_num - 1]);
thread_pool->current_thread_num--;
}
}

/**
* 任务投递至线程池等待执行
* 信号量唤醒工作线程，调度任务进入处理队列
*/
void ThreadPoolPushTask(ElasticScaleThreadPool* thread_pool)
{
sem_post(&thread_pool->task_sem);
ThreadPoolElasticAdjust(thread_pool);
}

//========================== 第十模块：全局状态快照回溯与故障溯源树形日志 ==========================
/**
* 定时录制系统核心运行状态快照
* 保存参数、哈希、运行标记，作为故障回溯基准节点
*/
void SystemStateSnapshotRecord(void)
{
static int snap_index = 0;
if(snap_index >= STATE_ROLLBACK_MAX_POINT) snap_index = 0;
SystemRollbackSnapNode* current_snap = &state_rollback_array[snap_index];
current_snap->state_tag = STATE_RUN_NORMAL;
current_snap->snapshot_tick = GetSystemMillisecondTick();
// 拷贝核心内核参数
memcpy(current_snap->core_param_snap, &standard_kernel, sizeof(KernelBasicParam));
// 计算系统全局校验哈希
current_snap->system_hash_code = ModelDataHashSnapshot();
memset(current_snap->fault_trace_tree, 0, 512);
snap_index++;
}

/**
* 检测系统异常触发状态回溯
* 故障发生时调取历史正常快照，回滚系统至稳定运行节点
*/
bool SystemFaultRollbackRecover(int rollback_point)
{
if(rollback_point < 0 || rollback_point >= STATE_ROLLBACK_MAX_POINT) return false;
SystemRollbackSnapNode* recover_snap = &state_rollback_array[rollback_point];
if(recover_snap->snapshot_tick == 0) return false;
// 回滚核心参数配置
memcpy(&standard_kernel, recover_snap->core_param_snap, sizeof(KernelBasicParam));
// 自检验证回滚有效性
if(KernelFullSelfInspection())
{
run_status.hardware_normal = true;
recover_snap->state_tag = STATE_RUN_ROLLBACK;
return true;
}
return false;
}

/**
* 故障溯源树根节点初始化创建
* 搭建树形层级日志结构，分级记录根源、次生、衍生故障
*/
void FaultTraceTreeRootInit(void)
{
fault_trace_root = (FaultTraceTreeNode*)malloc(sizeof(FaultTraceTreeNode));
memset(fault_trace_root, 0, sizeof(FaultTraceTreeNode));
fault_trace_root->fault_code = 0x0000;
strcpy(fault_trace_root->fault_desc, "System Global Fault Root Node");
fault_trace_root->occur_time = GetSystemMillisecondTick();
fault_trace

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