import torch
import torch.nn as nn

class CabinVLMIntegration(nn.Module):
    """
    座舱VLM集成方案
    
    CES 2026趋势: 视觉语言模型进入座舱
    - 输入: 车内摄像头帧 + DMS状态 + ADAS上下文
    - 输出: 自然语言描述 + 意图预测 + 建议动作
    """
    
    def __init__(self, vision_dim: int = 512, text_dim: int = 768):
        super().__init__()
        # 视觉编码器 (从摄像头提取特征)
        self.vision_encoder = nn.Sequential(
            nn.Linear(vision_dim, 512),
            nn.ReLU(),
            nn.Linear(512, text_dim)
        )
        # DMS状态编码
        self.dms_encoder = nn.Linear(10, text_dim)  # 10个DMS指标
        # 融合层
        self.fusion = nn.MultiheadAttention(text_dim, num_heads=8, batch_first=True)
        # 意图预测头
        self.intent_head = nn.Linear(text_dim, 5)  # 5种意图
        
    def forward(self, vision_feat, dms_state):
        v = self.vision_encoder(vision_feat)
        d = self.dms_encoder(dms_state).unsqueeze(1)
        fused, _ = self.fusion(v.unsqueeze(1), d, d)
        intent = self.intent_head(fused.squeeze(1))
        return intent