refactor: replace prefix cache with paged KV cache across promo guide, architecture, and animation
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@ -28,7 +28,7 @@
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| **单卡可跑** | 1B 参数，RTX 3090/4090 即可运行 | 巨大服务器集群 vs 单张显卡对比 |
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| **单卡可跑** | 1B 参数，RTX 3090/4090 即可运行 | 巨大服务器集群 vs 单张显卡对比 |
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| **连续批处理** | 动态合并请求，吞吐量 3x+ | 任务流经 Cleanup→Refill→Prefill→Decode 动画 |
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| **连续批处理** | 动态合并请求，吞吐量 3x+ | 任务流经 Cleanup→Refill→Prefill→Decode 动画 |
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| **前缀缓存零拷贝** | 相同前缀直接复用 KV，无需重算 | Radix Tree 生长动画 |
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| **分页 KV 缓存** | 固定大小页表 + O(1) 分配，按需扩容 | 页表分配与写入动画 |
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| **OpenAI 兼容 API** | 一行代码切换 | curl 命令对比 |
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| **OpenAI 兼容 API** | 一行代码切换 | curl 命令对比 |
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| **流式输出** | 逐 token 返回，低首延迟 | 终端逐字喷出效果 |
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| **流式输出** | 逐 token 返回，低首延迟 | 终端逐字喷出效果 |
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| **全过程开源** | 训练+推理+权重全部开源 | GitHub 页面展示 |
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| **全过程开源** | 训练+推理+权重全部开源 | GitHub 页面展示 |
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@ -50,7 +50,7 @@
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│ │Cleanup │→ │Refill│→ │Prefill │→ │ Decode │ │
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│ │Cleanup │→ │Refill│→ │Prefill │→ │ Decode │ │
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│ └────────┘ └──────┘ └────────┘ └────────┘ │
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│ └────────┘ └──────┘ └────────┘ └────────┘ │
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├──────────────────────────────────────────────────┤
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├──────────────────────────────────────────────────┤
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│ Prefix Cache (Radix Tree) + KV Cache │
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│ Paged KV Cache (Page Table + Page Pool) │
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├──────────────────────────────────────────────────┤
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├──────────────────────────────────────────────────┤
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│ Transformer (24层 GQA, RoPE, SwiGLU) │
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│ Transformer (24层 GQA, RoPE, SwiGLU) │
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└──────────────────────────────────────────────────┘
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└──────────────────────────────────────────────────┘
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@ -114,17 +114,17 @@
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---
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---
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### Segment 4：前缀缓存（1:20 - 1:50）
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### Segment 4：分页 KV 缓存（1:20 - 1:50）
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| 镜头 | 画面 | 旁白 | 时长 |
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| 镜头 | 画面 | 旁白 | 时长 |
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|------|------|------|------|
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|------|------|------|------|
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| 4.1 | 两个请求有相同 system prompt："你是一个AI助手" | "如果两个请求有相同的前缀——比如相同的系统提示词——" | 5s |
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| 4.1 | 展示 KV 缓存是一个固定大小的张量，被划分为多个相同大小的 page | "KV 缓存不再按请求预分配——而是划分为固定大小的页。" | 5s |
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| 4.2 | 普通做法：两个请求各自独立计算前 20 个 token | "普通框架会各自从头计算一遍，白白浪费算力。" | 5s |
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| 4.2 | 请求 A 到来，通过页表分配 2 个物理页，写入数据 | "请求到达时，通过页表分配物理页，按需写入。" | 7s |
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| 4.3 | Radix Tree 生长动画：第一个请求插入，第二个请求匹配共享前缀 | "AstrAI 用一颗字典树缓存所有前缀的 KV——第二个请求直接命中。" | 8s |
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| 4.3 | 请求 B 到来，分配新页，展示页表将逻辑位置映射到不同物理页 | "页表机制让逻辑位置和物理存储解耦——不同请求的页可以分散排列。" | 8s |
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| 4.4 | 高亮 Slot 复用：直接用原 slot 继续写，零拷贝 | "如果原始 slot 空闲，直接原地续写，连 GPU 内存拷贝都不需要。" | 7s |
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| 4.4 | Decode 阶段，请求继续生成 token，展示按需分配新页（_maybe_alloc_page） | "生成过程中如果当前页写满，自动追加新页——按需扩容，不浪费显存。" | 7s |
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| 4.5 | 首 token 延迟对比：有缓存 vs 无缓存（-50%） | "首 token 延迟降低一半以上。" | 5s |
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| 4.5 | 请求结束时展示页面回收（bitmask 置位） | "请求结束后，页面通过 O(1) 位掩码回收，即刻复用。" | 3s |
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**视觉素材**：`prefix_cache.py` 动画、延迟对比
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**视觉素材**：`paged_cache.py` 动画、页表分配示意
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---
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---
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@ -260,7 +260,7 @@ manim -ql promo/continuous_batching.py ContinuousBatching
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|------|-----------|------|---------|
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|------|-----------|------|---------|
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| `transformer.py` | `Transformer` | 模型架构：Embed → GQA → SwiGLU → ×24 → LM Head | ~35s |
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| `transformer.py` | `Transformer` | 模型架构：Embed → GQA → SwiGLU → ×24 → LM Head | ~35s |
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| `continuous_batching.py` | `ContinuousBatching` | 4 阶段流水线动画 + 吞吐对比 | ~30s |
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| `continuous_batching.py` | `ContinuousBatching` | 4 阶段流水线动画 + 吞吐对比 | ~30s |
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| `prefix_cache.py` | `PrefixCache` | Radix Tree 生长 + 多分支前缀复用 | ~30s |
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| `paged_cache.py` | `PrefixCache` | 分页 KV 缓存：页表分配、按需扩容、回收 | ~30s |
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| `architecture.py` | `Architecture` | 全栈架构逐层展开 + 数据流 | ~25s |
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| `architecture.py` | `Architecture` | 全栈架构逐层展开 + 数据流 | ~25s |
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### 自定义动画
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### 自定义动画
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@ -297,10 +297,10 @@ Text.set_default(font="Microsoft YaHei")
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[01:06] 只有处于相同 KV 缓存位置的任务才一起解码，从根本上避免 RoPE 位置错乱。
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[01:06] 只有处于相同 KV 缓存位置的任务才一起解码，从根本上避免 RoPE 位置错乱。
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[01:14] 实测吞吐量提升 3 倍以上。
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[01:14] 实测吞吐量提升 3 倍以上。
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[01:20] 如果两个请求有相同的前缀，普通框架会各自从头计算。
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[01:20] 传统 KV 缓存预分配整段显存，浪费严重。
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[01:25] AstrAI 用一颗字典树缓存所有前缀的 KV——第二个请求直接命中。
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[01:25] AstrAI 采用分页 KV 缓存——固定大小的页，通过页表间接寻址，按需分配。
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[01:33] 如果原始 slot 空闲，直接原地续写，连 GPU 内存拷贝都不需要。
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[01:33] 生成过程中页写满了自动追加，请求结束后 O(1) 回收。
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[01:40] 首 token 延迟降低一半以上。
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[01:40] 显存利用率大幅提升，支持更多并发请求。
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[01:50] 来实际看看效果。
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[01:50] 来实际看看效果。
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[01:52] （现场演示部分，自由发挥）
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[01:52] （现场演示部分，自由发挥）
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@ -327,7 +327,7 @@ Text.set_default(font="Microsoft YaHei")
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| Transformer 架构动画 | Manim 渲染 `transformer.py` | ✅ 已渲染 |
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| Transformer 架构动画 | Manim 渲染 `transformer.py` | ✅ 已渲染 |
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| 架构动画 | Manim 渲染 `architecture.py` | ✅ 已渲染 |
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| 架构动画 | Manim 渲染 `architecture.py` | ✅ 已渲染 |
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| 连续批处理动画 | Manim 渲染 `continuous_batching.py` | ✅ 已渲染 |
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| 连续批处理动画 | Manim 渲染 `continuous_batching.py` | ✅ 已渲染 |
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| 前缀缓存动画 | Manim 渲染 `prefix_cache.py` | ✅ 已渲染 |
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| 分页缓存动画 | Manim 渲染 `paged_cache.py` | 需重新渲染 |
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### 音频素材
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### 音频素材
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@ -368,6 +368,6 @@ Text.set_default(font="Microsoft YaHei")
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| `scripts/promo/README.md` | 动画渲染说明（已移至 promo/） |
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| `scripts/promo/README.md` | 动画渲染说明（已移至 promo/） |
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| `promo/render_all.py` | 一键渲染所有动画 |
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| `promo/render_all.py` | 一键渲染所有动画 |
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| `promo/continuous_batching.py` | 连续批处理 Manim 场景 |
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| `promo/continuous_batching.py` | 连续批处理 Manim 场景 |
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| `promo/prefix_cache.py` | 前缀缓存 Manim 场景 |
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| `promo/paged_cache.py` | 分页 KV 缓存 Manim 场景 |
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| `promo/architecture.py` | 架构总览 Manim 场景 |
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| `promo/architecture.py` | 架构总览 Manim 场景 |
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| `params/config.json` | 模型配置 |
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| `params/config.json` | 模型配置 |
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@ -36,7 +36,7 @@ python promo/render_all.py
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|------|-------------|------|---------|
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|------|-------------|------|---------|
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| `transformer.py` | `Transformer` | GQA 注意力机制详解 (Q/K/V→RoPE→Attention→O) + 规格卡 | ~25s |
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| `transformer.py` | `Transformer` | GQA 注意力机制详解 (Q/K/V→RoPE→Attention→O) + 规格卡 | ~25s |
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| `continuous_batching.py` | `ContinuousBatching` | 4 阶段流水线 + 吞吐对比 | ~30s |
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| `continuous_batching.py` | `ContinuousBatching` | 4 阶段流水线 + 吞吐对比 | ~30s |
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| `prefix_cache.py` | `PrefixCache` | Radix Tree 生长 + 前缀复用 | ~30s |
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| `paged_cache.py` | `PrefixCache` | 分页 KV 缓存：页表分配、按需扩容、回收 | ~30s |
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| `architecture.py` | `Architecture` | 全栈架构逐层展开 | ~30s |
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| `architecture.py` | `Architecture` | 全栈架构逐层展开 | ~30s |
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## 导入视频剪辑
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## 导入视频剪辑
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@ -39,10 +39,10 @@ class Architecture(Scene):
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"Position-grouped decode · Bitmask O(1) slots"],
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"Position-grouped decode · Bitmask O(1) slots"],
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"astrai/inference/engine.py · scheduler.py")
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"astrai/inference/engine.py · scheduler.py")
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L3 = make_box("Prefix Cache + KV Cache", ORANGE,
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L3 = make_box("Paged KV Cache", ORANGE,
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["Radix Tree prefix matching · LRU eviction",
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["Page-table-indirected read/write · Page pool",
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"Slot versioning · GPU copy_() zero-copy reuse"],
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"O(1) bitmask alloc/free · On-demand page growth"],
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"astrai/inference/scheduler.py")
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"astrai/inference/cache.py · scheduler.py")
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L4 = make_box("Transformer Model", PURPLE,
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L4 = make_box("Transformer Model", PURPLE,
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["24× DecoderBlock · GQA 6:1 · RoPE",
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["24× DecoderBlock · GQA 6:1 · RoPE",
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@ -67,11 +67,11 @@ class Architecture(Scene):
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"4-phase loop: Cleanup tasks,",
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"4-phase loop: Cleanup tasks,",
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"Refill batch, Prefill prompts,",
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"Refill batch, Prefill prompts,",
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"Decode tokens one by one."],
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"Decode tokens one by one."],
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["Prefix Cache + KV Cache",
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["Paged KV Cache",
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"Caches key-value states using",
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"Divides KV cache into fixed-size pages",
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"a Radix Tree for O(n) prefix lookup.",
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"with page-table-indirected access.",
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"Reuses matched prefixes via GPU",
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"Per-task page tables map logical pages",
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"memcpy — zero recomputation."],
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"to physical pages — O(1) alloc/free."],
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["Transformer Model (1B params)",
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["Transformer Model (1B params)",
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"Decoder-only Transformer with",
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"Decoder-only Transformer with",
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"Grouped-Query Attention (GQA 6:1).",
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"Grouped-Query Attention (GQA 6:1).",
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@ -0,0 +1,524 @@
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"""AstrAI promo: Paged KV Cache — matching astrai/inference/cache.py & scheduler.py."""
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from manim import *
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Text.set_default(font="Times New Roman")
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class PrefixCache(Scene):
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"""Animates PagedCache exact logic: alloc→write→free with real code details."""
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def _small_text(self, text, size=10, color=GRAY, **kwargs):
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return Text(text, font_size=size, color=color, **kwargs)
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def _page_box(self, pos, label, color, sz=0.44):
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s = Square(side_length=sz, color=color, fill_opacity=0.12, stroke_width=1.6)
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s.move_to(pos)
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lbl = self._small_text(label, 10, color).move_to(pos)
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return VGroup(s, lbl)
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def _make_ptable(self, x, y, rows, color, label):
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"""Draw OS-style page table. Returns (outline, entry_group, phy_cell_centers)."""
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n = len(rows)
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w = 2.6
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h = 0.40
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vx = w * 0.40
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group = VGroup()
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# Label
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lbl = self._small_text(label, 12, color, weight=BOLD)
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lbl.move_to([x + w / 2, y + 0.15, 0])
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group.add(lbl)
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# Outer rect (header+data rows)
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r = Rectangle(width=w, height=h * (n + 1), color=color, stroke_width=1.8, fill_opacity=0.06)
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r.move_to([x + w / 2, y - h * (n + 1) / 2, 0])
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group.add(r)
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# H dividers
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for ri in range(1, n + 1):
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ly = y - ri * h
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group.add(Line([x, ly, 0], [x + w, ly, 0], color=color, stroke_width=0.8))
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# V divider
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group.add(Line([x + vx, y, 0], [x + vx, y - h * (n + 1), 0], color=color, stroke_width=0.8))
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# Column headers
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lh = self._small_text("logical", 10, color, weight=BOLD)
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lh.move_to([x + vx / 2, y - h / 2, 0])
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ph = self._small_text("physical", 10, color, weight=BOLD)
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ph.move_to([x + vx + (w - vx) / 2, y - h / 2, 0])
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group.add(lh, ph)
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# Row entries
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entries = VGroup()
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phy_centers = []
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for i, (lg, phy) in enumerate(rows):
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cy = y - h / 2 - (i + 1) * h
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lt = self._small_text(lg, 11, color)
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lt.move_to([x + vx / 2, cy, 0])
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pt = self._small_text(phy, 11, color)
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pt.move_to([x + vx + (w - vx) / 2, cy, 0])
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entries.add(VGroup(lt, pt))
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phy_centers.append([x + vx + (w - vx) / 2, cy, 0])
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return group, entries, phy_centers, r
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def construct(self):
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# ── Scene setup ──
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title = self._small_text("Paged KV Cache — astrai/inference/cache.py", 26, BLUE)
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title.to_edge(UP, buff=0.15)
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self.play(Write(title))
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self.wait(0.1)
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right_x = 4.5
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step_y = 3.0
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def step_msg(text, color=YELLOW):
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nonlocal step_y
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m = self._small_text(text, 12, color)
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m.move_to([right_x, step_y, 0])
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step_y -= 0.55
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self.play(Write(m))
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return m
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def fade(m):
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self.play(FadeOut(m))
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# ═══════════════════════════════════════════
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# Phase 0: Initialize PagedCache
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# ═══════════════════════════════════════════
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s0 = step_msg("PagedCache(max_batch=8, page_size=64, head_dim=64, n_kv_heads=4)")
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# Show constructor signature
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ctor = self._small_text(
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'PagedCache(n_layers=24, n_pages=8, page_size=64,\n'
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' n_kv_heads=4, head_dim=64, device=cuda, dtype=bfloat16)',
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9, GRAY
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)
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ctor.move_to([-5.5, 2.4, 0])
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self.play(Write(ctor))
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# Show the tensor shape
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tensor_shape = self._small_text(
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||||||
|
'k_cache: [24, 8, 64, 4, 64] v_cache: [24, 8, 64, 4, 64]',
|
||||||
|
8, GRAY
|
||||||
|
)
|
||||||
|
tensor_shape.move_to([-5.5, 2.05, 0])
|
||||||
|
self.play(Write(tensor_shape))
|
||||||
|
|
||||||
|
self.wait(0.3)
|
||||||
|
fade(s0)
|
||||||
|
# Keep ctor & tensor_shape visible
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Physical page pool
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
s1 = step_msg("8 page frames, refs[8] = [0,0,0,0,0,0,0,0], free_mask = (1<<8)-1 = 0xFF")
|
||||||
|
|
||||||
|
pool_y = 1.45
|
||||||
|
pool_x0 = -3.8
|
||||||
|
pool_sp = 0.68
|
||||||
|
pool_pages = []
|
||||||
|
pool_pos = []
|
||||||
|
for i in range(8):
|
||||||
|
x = pool_x0 + i * pool_sp
|
||||||
|
pos = np.array([x, pool_y, 0])
|
||||||
|
pool_pos.append(pos)
|
||||||
|
pb = self._page_box(pos, str(i), GRAY)
|
||||||
|
pool_pages.append(pb)
|
||||||
|
self.play(FadeIn(pb, scale=0.5), run_time=0.04)
|
||||||
|
self.wait(0.1)
|
||||||
|
|
||||||
|
# Bracket
|
||||||
|
brack = Brace(VGroup(*[p[0] for p in pool_pages]), DOWN, buff=0.05)
|
||||||
|
blbl = Text("page frames [0..7] each holds 64 KV slots", font_size=10, color=GRAY)
|
||||||
|
blbl.next_to(brack, DOWN, buff=0.02)
|
||||||
|
self.play(Create(brack), Write(blbl), run_time=0.25)
|
||||||
|
|
||||||
|
# Free bitmask — with bit position labels
|
||||||
|
mask_y = 0.55
|
||||||
|
bit_labels = VGroup()
|
||||||
|
for i in range(8):
|
||||||
|
bl = self._small_text(f"bit{i}", 7, DARK_GRAY)
|
||||||
|
bl.move_to([pool_x0 + i * pool_sp, mask_y + 0.25, 0])
|
||||||
|
bit_labels.add(bl)
|
||||||
|
self.play(Write(bit_labels), run_time=0.2)
|
||||||
|
|
||||||
|
mask = self._small_text("11111111 (1 = free, 0 = alloc)", 11, GRAY)
|
||||||
|
mask.move_to([-1.5, mask_y, 0])
|
||||||
|
self.play(Write(mask))
|
||||||
|
self.wait(0.15)
|
||||||
|
|
||||||
|
refs_lbl = self._small_text("refs = [0,0,0,0,0,0,0,0]", 9, GRAY)
|
||||||
|
refs_lbl.move_to([-1.5, mask_y - 0.3, 0])
|
||||||
|
self.play(Write(refs_lbl))
|
||||||
|
|
||||||
|
def update_mask(bits, desc):
|
||||||
|
m2 = self._small_text(f"{bits} (1 = free, 0 = alloc)", 11, GRAY)
|
||||||
|
m2.move_to([-1.5, mask_y, 0])
|
||||||
|
self.play(Transform(mask, m2))
|
||||||
|
if desc:
|
||||||
|
self.play(Transform(refs_lbl, self._small_text(desc, 9, GRAY).move_to([-1.5, mask_y - 0.3, 0])))
|
||||||
|
|
||||||
|
fade(s1)
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Phase 1: Cleanup — nothing to do initially
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
s_phase = self._small_text("Phase 1: Cleanup (no finished tasks)", 11, GRAY)
|
||||||
|
s_phase.move_to([right_x, step_y, 0])
|
||||||
|
step_y -= 0.4
|
||||||
|
self.play(Write(s_phase))
|
||||||
|
self.wait(0.2)
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Phase 2: Refill — Request A arrives
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
step_y2 = step_y
|
||||||
|
s2a = step_msg("Phase 2: Refill — Request A arrives (prompt_len=120 tokens)", GREEN)
|
||||||
|
s2b = step_msg("_n_pages_for(120) = (120 + 64 - 1) // 64 = 183 // 64 = 2", GREEN)
|
||||||
|
|
||||||
|
calc_box = Rectangle(width=4.8, height=1.0, color=GREEN_E, stroke_width=1.2, fill_opacity=0.05)
|
||||||
|
calc_box.move_to([right_x - 0.3, step_y - 0.1, 0])
|
||||||
|
calc_lines = VGroup(
|
||||||
|
self._small_text("def _n_pages_for(n_tokens):", 9, GREEN),
|
||||||
|
self._small_text(" return (n_tokens + page_size - 1) // page_size", 9, GREEN),
|
||||||
|
self._small_text("_n_pages_for(120) = (120 + 64 - 1) // 64 = 2", 9, WHITE),
|
||||||
|
)
|
||||||
|
calc_lines.arrange(DOWN, buff=0.08, aligned_edge=LEFT)
|
||||||
|
calc_lines.move_to(calc_box.get_center())
|
||||||
|
calc_grp = VGroup(calc_box, calc_lines)
|
||||||
|
self.play(Create(calc_grp), run_time=0.35)
|
||||||
|
step_y -= 0.6
|
||||||
|
|
||||||
|
# alloc() in action
|
||||||
|
s2c = step_msg("alloc_n(2) → calls alloc() twice", GREEN)
|
||||||
|
|
||||||
|
alloc_code = VGroup(
|
||||||
|
self._small_text("def alloc(self) -> int:", 9, GREEN),
|
||||||
|
self._small_text(" lsb = self._free_mask & -self._free_mask", 9, GREEN),
|
||||||
|
self._small_text(" if lsb == 0: return -1", 9, GREEN),
|
||||||
|
self._small_text(" idx = lsb.bit_length() - 1", 9, GREEN),
|
||||||
|
self._small_text(" self._free_mask ^= lsb", 9, GREEN),
|
||||||
|
self._small_text(" self._refs[idx] = 1", 9, GREEN),
|
||||||
|
self._small_text(" return idx", 9, GREEN),
|
||||||
|
self._small_text("", 6, GREEN),
|
||||||
|
self._small_text("1st alloc: free_mask=11111111, lsb=1, idx=0 → page 0", 9, WHITE),
|
||||||
|
self._small_text("2nd alloc: free_mask=11111110, lsb=2, idx=1 → page 1", 9, WHITE),
|
||||||
|
)
|
||||||
|
alloc_code.arrange(DOWN, buff=0.06, aligned_edge=LEFT)
|
||||||
|
acbox = Rectangle(width=5.0, height=2.6, color=GREEN_E, stroke_width=1.0, fill_opacity=0.03)
|
||||||
|
acbox.move_to([right_x - 0.2, step_y - 0.8, 0])
|
||||||
|
alloc_code.move_to(acbox.get_center())
|
||||||
|
alloc_grp = VGroup(acbox, alloc_code)
|
||||||
|
self.play(Create(alloc_grp), run_time=0.4)
|
||||||
|
step_y -= 1.8
|
||||||
|
|
||||||
|
# Now draw page table A (2 rows)
|
||||||
|
tblA_x = -4.4
|
||||||
|
tblA_y = -0.35
|
||||||
|
tblA_outline, tblA_entries, tblA_phys, tblA_rect = self._make_ptable(
|
||||||
|
tblA_x, tblA_y,
|
||||||
|
[("0", "0"), ("1", "1")],
|
||||||
|
GREEN, "Task A page_table"
|
||||||
|
)
|
||||||
|
self.play(Create(tblA_outline), run_time=0.35)
|
||||||
|
for e in tblA_entries:
|
||||||
|
self.play(FadeIn(e), run_time=0.08)
|
||||||
|
|
||||||
|
# Alloc effect on pool + bitmask
|
||||||
|
for idx in [0, 1]:
|
||||||
|
pg = pool_pages[idx][0]
|
||||||
|
self.play(pg.animate.set_fill(GREEN, opacity=0.35), run_time=0.1)
|
||||||
|
flash = SurroundingRectangle(pool_pages[idx], color=GREEN, buff=0.04)
|
||||||
|
self.play(Create(flash), run_time=0.05)
|
||||||
|
self.play(FadeOut(flash), run_time=0.04)
|
||||||
|
|
||||||
|
update_mask("11111100", "refs = [1,1,0,0,0,0,0,0]")
|
||||||
|
self.wait(0.2)
|
||||||
|
|
||||||
|
# mapping arrows
|
||||||
|
arr_a0 = Arrow(
|
||||||
|
[tblA_phys[0][0] + 0.1, tblA_phys[0][1], 0],
|
||||||
|
[pool_pos[0][0], pool_pos[0][1] - 0.22, 0],
|
||||||
|
color=GREEN, stroke_width=1.5, buff=0.03,
|
||||||
|
max_tip_length_to_length_ratio=0.18,
|
||||||
|
)
|
||||||
|
arr_a1 = Arrow(
|
||||||
|
[tblA_phys[1][0] + 0.1, tblA_phys[1][1], 0],
|
||||||
|
[pool_pos[1][0], pool_pos[1][1] - 0.22, 0],
|
||||||
|
color=GREEN, stroke_width=1.5, buff=0.03,
|
||||||
|
max_tip_length_to_length_ratio=0.18,
|
||||||
|
)
|
||||||
|
self.play(GrowArrow(arr_a0), GrowArrow(arr_a1), run_time=0.35)
|
||||||
|
self.wait(0.3)
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Phase 3: Prefill (write KV into allocated pages)
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
s3a = step_msg("Phase 3: Prefill — write() KV into pages 0,1", GREEN)
|
||||||
|
|
||||||
|
write_code = VGroup(
|
||||||
|
self._small_text("def write(self, layer_id, page_table, start_pos, k, v):", 9, GREEN),
|
||||||
|
self._small_text(" first_page = start_pos // page_size # 0 // 64 = 0", 9, GREEN),
|
||||||
|
self._small_text(" last_page = (start_pos+seq_len-1)//page_size", 9, WHITE),
|
||||||
|
self._small_text(" for pi in range(first_page, last_page+1):", 9, WHITE),
|
||||||
|
self._small_text(" phys_pages = page_table[:, pi]", 9, WHITE),
|
||||||
|
self._small_text(" chunk = min(page_start+page_size, start_pos+seq_len) -", 9, WHITE),
|
||||||
|
self._small_text(" max(page_start, start_pos)", 9, WHITE),
|
||||||
|
self._small_text(" k_cache[layer_id, phys_pages, offset:offset+chunk] = k", 9, GREEN),
|
||||||
|
)
|
||||||
|
write_code.arrange(DOWN, buff=0.05, aligned_edge=LEFT)
|
||||||
|
wbox = Rectangle(width=5.0, height=2.3, color=GREEN_E, stroke_width=1.0, fill_opacity=0.03)
|
||||||
|
wbox.move_to([right_x - 0.2, step_y - 0.4, 0])
|
||||||
|
write_code.move_to(wbox.get_center())
|
||||||
|
write_grp = VGroup(wbox, write_code)
|
||||||
|
self.play(Create(write_grp), run_time=0.35)
|
||||||
|
step_y -= 1.6
|
||||||
|
|
||||||
|
# Show a KV block "written" onto the pages
|
||||||
|
k_written = self._small_text("KV written", 8, GREEN)
|
||||||
|
k_written.move_to([pool_pos[0][0] + 0.5, pool_pos[0][1] + 0.6, 0])
|
||||||
|
self.play(Write(k_written))
|
||||||
|
self.wait(0.3)
|
||||||
|
fade(k_written)
|
||||||
|
|
||||||
|
s3b = step_msg("CacheView bundles cache + page_table + total_len for attention", GREEN)
|
||||||
|
cv_code = VGroup(
|
||||||
|
self._small_text("class CacheView:", 9, GREEN),
|
||||||
|
self._small_text(" def __init__(self, cache, page_table, total_len):", 9, GREEN),
|
||||||
|
self._small_text(' def write(self, layer_id, start_pos, k, v):', 9, WHITE),
|
||||||
|
self._small_text(" self._cache.write(layer_id, self._page_table, ...)", 9, WHITE),
|
||||||
|
self._small_text(' def gather(self, layer_id):', 9, WHITE),
|
||||||
|
self._small_text(" for pi in range(page_table.size(1)):", 9, WHITE),
|
||||||
|
self._small_text(" phys_pages = page_table[:, pi]", 9, WHITE),
|
||||||
|
self._small_text(" k_parts.append(k_cache[layer_id, phys_pages])", 9, WHITE),
|
||||||
|
self._small_text(" k = torch.cat(k_parts, dim=1)", 9, GREEN),
|
||||||
|
)
|
||||||
|
cv_code.arrange(DOWN, buff=0.05, aligned_edge=LEFT)
|
||||||
|
cvbox = Rectangle(width=5.0, height=2.5, color=GREEN_E, stroke_width=1.0, fill_opacity=0.03)
|
||||||
|
cvbox.move_to([right_x - 0.2, step_y - 0.6, 0])
|
||||||
|
cv_code.move_to(cvbox.get_center())
|
||||||
|
cv_grp = VGroup(cvbox, cv_code)
|
||||||
|
self.play(Create(cv_grp), run_time=0.35)
|
||||||
|
step_y -= 1.8
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Request B arrives
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
s4 = step_msg("Phase 2: Refill — Request B arrives (prompt_len=90)", ORANGE)
|
||||||
|
s4b = step_msg("alloc_n(2) → pages 2, 3", ORANGE)
|
||||||
|
|
||||||
|
tblB_x = -4.4
|
||||||
|
tblB_y = -1.9
|
||||||
|
tblB_outline, tblB_entries, tblB_phys, tblB_rect = self._make_ptable(
|
||||||
|
tblB_x, tblB_y,
|
||||||
|
[("0", "2"), ("1", "3")],
|
||||||
|
ORANGE, "Task B page_table"
|
||||||
|
)
|
||||||
|
self.play(Create(tblB_outline), run_time=0.3)
|
||||||
|
for e in tblB_entries:
|
||||||
|
self.play(FadeIn(e), run_time=0.08)
|
||||||
|
|
||||||
|
for idx in [2, 3]:
|
||||||
|
pg = pool_pages[idx][0]
|
||||||
|
self.play(pg.animate.set_fill(ORANGE, opacity=0.35), run_time=0.1)
|
||||||
|
flash = SurroundingRectangle(pool_pages[idx], color=ORANGE, buff=0.04)
|
||||||
|
self.play(Create(flash), run_time=0.05)
|
||||||
|
self.play(FadeOut(flash), run_time=0.04)
|
||||||
|
|
||||||
|
update_mask("11110000", "refs = [1,1,1,1,0,0,0,0]")
|
||||||
|
|
||||||
|
arr_b0 = Arrow(
|
||||||
|
[tblB_phys[0][0] + 0.1, tblB_phys[0][1], 0],
|
||||||
|
[pool_pos[2][0], pool_pos[2][1] - 0.22, 0],
|
||||||
|
color=ORANGE, stroke_width=1.5, buff=0.03,
|
||||||
|
max_tip_length_to_length_ratio=0.18,
|
||||||
|
)
|
||||||
|
arr_b1 = Arrow(
|
||||||
|
[tblB_phys[1][0] + 0.1, tblB_phys[1][1], 0],
|
||||||
|
[pool_pos[3][0], pool_pos[3][1] - 0.22, 0],
|
||||||
|
color=ORANGE, stroke_width=1.5, buff=0.03,
|
||||||
|
max_tip_length_to_length_ratio=0.18,
|
||||||
|
)
|
||||||
|
self.play(GrowArrow(arr_b0), GrowArrow(arr_b1), run_time=0.35)
|
||||||
|
self.wait(0.3)
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Phase 4: Decode — on-demand page growth
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
s5 = step_msg("Phase 4: Decode — Task A generates more tokens", PINK)
|
||||||
|
s5b = step_msg("total_len grows: 120 → 180 tokens", PINK)
|
||||||
|
s5c = step_msg("_n_pages_for(180) = (180+63)//64 = 243//64 = 3", PINK)
|
||||||
|
|
||||||
|
# _maybe_alloc_page logic
|
||||||
|
map_code = VGroup(
|
||||||
|
self._small_text("def _maybe_alloc_page(self, task, pos):", 9, PINK),
|
||||||
|
self._small_text(" needed = _n_pages_for(pos + 1) # _n_pages_for(181) = 3", 9, PINK),
|
||||||
|
self._small_text(" while task.n_pages < needed: # 2 < 3", 9, PINK),
|
||||||
|
self._small_text(" p = self.page_cache.alloc() # alloc page 4", 9, PINK),
|
||||||
|
self._small_text(" task.page_table.append(p)", 9, PINK),
|
||||||
|
self._small_text(" task.n_pages += 1 # 2 → 3", 9, PINK),
|
||||||
|
self._small_text("", 5, PINK),
|
||||||
|
self._small_text("page_table_A: [0, 1] → [0, 1, 4]", 9, WHITE),
|
||||||
|
)
|
||||||
|
map_code.arrange(DOWN, buff=0.05, aligned_edge=LEFT)
|
||||||
|
mbox = Rectangle(width=5.0, height=2.2, color=PINK, stroke_width=1.0, fill_opacity=0.03)
|
||||||
|
mbox.move_to([right_x - 0.2, step_y - 0.2, 0])
|
||||||
|
map_code.move_to(mbox.get_center())
|
||||||
|
map_grp = VGroup(mbox, map_code)
|
||||||
|
self.play(Create(map_grp), run_time=0.35)
|
||||||
|
step_y -= 1.6
|
||||||
|
|
||||||
|
# Alloc page 4
|
||||||
|
idx = 4
|
||||||
|
pg = pool_pages[idx][0]
|
||||||
|
self.play(pg.animate.set_fill(PINK, opacity=0.35), run_time=0.1)
|
||||||
|
flash = SurroundingRectangle(pool_pages[idx], color=PINK, buff=0.04)
|
||||||
|
self.play(Create(flash), run_time=0.05)
|
||||||
|
self.play(FadeOut(flash), run_time=0.04)
|
||||||
|
|
||||||
|
update_mask("11100000", "refs = [1,1,1,1,1,0,0,0]")
|
||||||
|
|
||||||
|
# Expand Table A: add row 3
|
||||||
|
new_bottom = tblA_y - 0.40 * 4 # 3 data rows + 1 header
|
||||||
|
line_3 = Line(
|
||||||
|
[tblA_x, tblA_y - 0.40 * 3, 0],
|
||||||
|
[tblA_x + 2.6, tblA_y - 0.40 * 3, 0],
|
||||||
|
color=GREEN, stroke_width=0.8,
|
||||||
|
)
|
||||||
|
lc3 = [tblA_x + 2.6 * 0.20, tblA_y - 0.40 * 3 - 0.20, 0]
|
||||||
|
pc3 = [tblA_x + 2.6 * 0.40 + (2.6 - 2.6 * 0.40) / 2, tblA_y - 0.40 * 3 - 0.20, 0]
|
||||||
|
lt3 = self._small_text("2", 11, PINK).move_to(lc3)
|
||||||
|
pt3 = self._small_text("4", 11, PINK).move_to(pc3)
|
||||||
|
self.play(Create(line_3), run_time=0.08)
|
||||||
|
self.play(FadeIn(lt3), FadeIn(pt3), run_time=0.08)
|
||||||
|
|
||||||
|
arr_c = Arrow(
|
||||||
|
[pc3[0] + 0.1, pc3[1], 0],
|
||||||
|
[pool_pos[4][0], pool_pos[4][1] - 0.22, 0],
|
||||||
|
color=PINK, stroke_width=1.5, buff=0.03,
|
||||||
|
max_tip_length_to_length_ratio=0.18,
|
||||||
|
)
|
||||||
|
self.play(GrowArrow(arr_c), run_time=0.2)
|
||||||
|
self.wait(0.3)
|
||||||
|
|
||||||
|
# Highlight: page_table list conversion
|
||||||
|
pt_list_old = self._small_text("page_table_A: [0, 1] (2 pages → can hold 128 tokens)", 10, GREEN)
|
||||||
|
pt_list_old.move_to([-4.4, tblB_y - 1.35, 0])
|
||||||
|
self.play(Write(pt_list_old))
|
||||||
|
|
||||||
|
pt_list_new = self._small_text("page_table_A: [0, 1, 4] (3 pages → can hold 192 tokens)", 10, GREEN)
|
||||||
|
pt_list_new.move_to([-4.4, tblB_y - 1.7, 0])
|
||||||
|
self.play(Write(pt_list_new))
|
||||||
|
self.wait(0.4)
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Task A finished → free()
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
s6 = step_msg("Task A done → free pages 0, 1, 4", YELLOW)
|
||||||
|
s6b = step_msg("free() → refs[idx] -= 1; if refs[idx]==0: mask |= 1<<idx", YELLOW)
|
||||||
|
|
||||||
|
free_code = VGroup(
|
||||||
|
self._small_text("def free(self, idx):", 9, YELLOW),
|
||||||
|
self._small_text(" self._refs[idx] -= 1", 9, YELLOW),
|
||||||
|
self._small_text(" if self._refs[idx] == 0:", 9, YELLOW),
|
||||||
|
self._small_text(" self._free_mask |= 1 << idx", 9, YELLOW),
|
||||||
|
)
|
||||||
|
free_code.arrange(DOWN, buff=0.06, aligned_edge=LEFT)
|
||||||
|
fbox = Rectangle(width=4.2, height=1.3, color=YELLOW, stroke_width=1.0, fill_opacity=0.03)
|
||||||
|
fbox.move_to([right_x - 0.2, step_y - 0.2, 0])
|
||||||
|
free_code.move_to(fbox.get_center())
|
||||||
|
free_grp = VGroup(fbox, free_code)
|
||||||
|
self.play(Create(free_grp), run_time=0.3)
|
||||||
|
step_y -= 0.9
|
||||||
|
|
||||||
|
for idx in [0, 1]:
|
||||||
|
pg = pool_pages[idx][0]
|
||||||
|
self.play(pg.animate.set_fill(GRAY, opacity=0.12), run_time=0.08)
|
||||||
|
flash = SurroundingRectangle(pool_pages[idx], color=YELLOW, buff=0.04)
|
||||||
|
self.play(Create(flash), run_time=0.06)
|
||||||
|
self.play(FadeOut(flash), run_time=0.04)
|
||||||
|
|
||||||
|
update_mask("11100011", "refs = [0,0,1,1,1,0,0,0]")
|
||||||
|
|
||||||
|
for idx in [4]:
|
||||||
|
pg = pool_pages[idx][0]
|
||||||
|
self.play(pg.animate.set_fill(GRAY, opacity=0.12), run_time=0.08)
|
||||||
|
flash = SurroundingRectangle(pool_pages[idx], color=YELLOW, buff=0.04)
|
||||||
|
self.play(Create(flash), run_time=0.06)
|
||||||
|
self.play(FadeOut(flash), run_time=0.04)
|
||||||
|
|
||||||
|
update_mask("11110011", "refs = [0,0,1,1,0,0,0,0]")
|
||||||
|
|
||||||
|
# Show Cleanup phase removes finished tasks
|
||||||
|
s_cleanup = self._small_text("Phase 1: Cleanup — Task A removed from active list", 11, GRAY)
|
||||||
|
s_cleanup.move_to([right_x, step_y, 0])
|
||||||
|
step_y -= 0.3
|
||||||
|
self.play(Write(s_cleanup))
|
||||||
|
|
||||||
|
pt_list_done = self._small_text("page_table_A cleared. Frame 0,1,4 returned to pool.", 10, GRAY)
|
||||||
|
pt_list_done.move_to([-4.4, tblB_y - 2.1, 0])
|
||||||
|
self.play(Write(pt_list_done))
|
||||||
|
self.wait(0.5)
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# gather() demo — remaining Task B reads KV
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
s7 = step_msg("Task B continues — gather() reads KV for attention", BLUE)
|
||||||
|
|
||||||
|
gather_code = VGroup(
|
||||||
|
self._small_text("def gather(self, layer_id):", 9, BLUE),
|
||||||
|
self._small_text(" for pi in range(page_table.size(1)):", 9, BLUE),
|
||||||
|
self._small_text(" phys_pages = page_table[:, pi]", 9, BLUE),
|
||||||
|
self._small_text(" k_parts.append(k_cache[layer_id, phys_pages])", 9, BLUE),
|
||||||
|
self._small_text(" k = torch.cat(k_parts, dim=1)", 9, BLUE),
|
||||||
|
self._small_text(" return k, v", 9, BLUE),
|
||||||
|
self._small_text("", 5, BLUE),
|
||||||
|
self._small_text("gather reads pages [2, 3] → token positions [128..255]", 9, WHITE),
|
||||||
|
)
|
||||||
|
gather_code.arrange(DOWN, buff=0.05, aligned_edge=LEFT)
|
||||||
|
gbox = Rectangle(width=5.0, height=2.0, color=BLUE, stroke_width=1.0, fill_opacity=0.03)
|
||||||
|
gbox.move_to([right_x - 0.2, step_y - 0.4, 0])
|
||||||
|
gather_code.move_to(gbox.get_center())
|
||||||
|
gather_grp = VGroup(gbox, gather_code)
|
||||||
|
self.play(Create(gather_grp), run_time=0.35)
|
||||||
|
step_y -= 1.4
|
||||||
|
|
||||||
|
# Highlight B's remaining pages
|
||||||
|
for idx in [2, 3]:
|
||||||
|
flash = SurroundingRectangle(pool_pages[idx], color=BLUE, buff=0.04)
|
||||||
|
self.play(Create(flash), run_time=0.06)
|
||||||
|
self.play(FadeOut(flash), run_time=0.04)
|
||||||
|
self.wait(0.3)
|
||||||
|
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
# Summary
|
||||||
|
# ═══════════════════════════════════════════
|
||||||
|
self.wait(0.5)
|
||||||
|
summary = self._small_text("Paged KV Cache — page-table-indirected, O(1) alloc/free, on-demand growth", 20, GREEN)
|
||||||
|
summary.to_edge(DOWN, buff=0.4)
|
||||||
|
self.play(Write(summary))
|
||||||
|
|
||||||
|
benefits = VGroup(
|
||||||
|
self._small_text("✓ No per-request KV pre-allocation — pages allocated on demand", 14, GREEN),
|
||||||
|
self._small_text("✓ Page table decouples logical position from physical storage", 14, GREEN),
|
||||||
|
self._small_text("✓ Ref-counted free → safe concurrent release across tasks", 14, GREEN),
|
||||||
|
self._small_text("✓ Bitmask O(1) alloc/free — no fragmentation", 14, GREEN),
|
||||||
|
)
|
||||||
|
benefits.arrange(DOWN, buff=0.08, aligned_edge=LEFT)
|
||||||
|
benefits.move_to([-5.0, -1.5, 0])
|
||||||
|
self.play(Write(benefits), run_time=0.5)
|
||||||
|
|
||||||
|
# Final mask
|
||||||
|
summary_mask = self._small_text(
|
||||||
|
"Final state: free_mask=11110011 free frames=0,1,4 in-use=2,3 total=8",
|
||||||
|
10, GRAY
|
||||||
|
)
|
||||||
|
summary_mask.next_to(benefits, DOWN, buff=0.25, aligned_edge=LEFT)
|
||||||
|
self.play(Write(summary_mask))
|
||||||
|
|
||||||
|
self.wait(2)
|
||||||
|
self.play(*[FadeOut(m) for m in self.mobjects])
|
||||||
118
prefix_cache.py
118
prefix_cache.py
|
|
@ -1,118 +0,0 @@
|
||||||
"""AstrAI promo: Prefix Cache animation (Radix tree with branches)."""
|
|
||||||
|
|
||||||
from manim import *
|
|
||||||
|
|
||||||
Text.set_default(font="Times New Roman")
|
|
||||||
|
|
||||||
|
|
||||||
class PrefixCache(Scene):
|
|
||||||
"""Animates the radix-tree prefix cache with multiple distinct branches."""
|
|
||||||
|
|
||||||
def _add_node(self, parent_pos, label, color, dx, dy):
|
|
||||||
pos = parent_pos + np.array([dx, dy, 0])
|
|
||||||
dot = Dot(point=pos, color=color, radius=0.1)
|
|
||||||
txt = Text(label, font_size=13, color=color)
|
|
||||||
txt.next_to(dot, UP, buff=0.1)
|
|
||||||
grp = VGroup(dot, txt)
|
|
||||||
edge = Line(parent_pos, pos, color=GRAY, stroke_width=1.5)
|
|
||||||
return grp, edge, pos
|
|
||||||
|
|
||||||
def _add_leaf(self, parent_pos, color, tag):
|
|
||||||
leaf = Square(side_length=0.25, color=color, fill_opacity=0.4)
|
|
||||||
leaf.move_to(parent_pos + DOWN * 0.7)
|
|
||||||
edge = Line(parent_pos, leaf.get_top(), color=color, stroke_width=1.5)
|
|
||||||
lbl = Text(tag, font_size=10, color=color).next_to(leaf, DOWN, buff=0.1)
|
|
||||||
return VGroup(leaf, edge, lbl)
|
|
||||||
|
|
||||||
def construct(self):
|
|
||||||
title = Text("Prefix Cache", font_size=48, color=BLUE)
|
|
||||||
self.play(Write(title))
|
|
||||||
self.wait(0.2)
|
|
||||||
self.play(title.animate.to_edge(UP).scale(0.6))
|
|
||||||
|
|
||||||
# Root at top-left, tree stays visible throughout
|
|
||||||
root_pos = np.array([-4.5, 2.0, 0])
|
|
||||||
root = Circle(radius=0.25, color=BLUE, fill_opacity=0.2)
|
|
||||||
root.move_to(root_pos)
|
|
||||||
root_lbl = Text("root", font_size=10, color=GRAY).move_to(root)
|
|
||||||
root_grp = VGroup(root, root_lbl)
|
|
||||||
self.play(FadeIn(root_grp, scale=0.5), run_time=0.3)
|
|
||||||
|
|
||||||
# Labels accumulate on the right side
|
|
||||||
right_x = 3.5
|
|
||||||
label_y = 2.5
|
|
||||||
label_step = 0.5
|
|
||||||
|
|
||||||
def show_label(text, color):
|
|
||||||
nonlocal label_y
|
|
||||||
lbl = Text(text, font_size=14, color=color)
|
|
||||||
lbl.move_to([right_x, label_y, 0])
|
|
||||||
label_y -= label_step
|
|
||||||
self.play(Write(lbl))
|
|
||||||
return lbl
|
|
||||||
|
|
||||||
# ── R1: A → B → C ──
|
|
||||||
r1_lbl = show_label('R1: "A B C"', GREEN)
|
|
||||||
|
|
||||||
a_grp, a_edge, a_pos = self._add_node(root_pos, "A", GREEN, 0.6, -0.9)
|
|
||||||
self.play(Create(a_edge), FadeIn(a_grp, scale=0.5), run_time=0.2)
|
|
||||||
b_grp, b_edge, b_pos = self._add_node(a_pos, "B", GREEN, 0.6, -0.9)
|
|
||||||
self.play(Create(b_edge), FadeIn(b_grp, scale=0.5), run_time=0.2)
|
|
||||||
c_grp, c_edge, c_pos = self._add_node(b_pos, "C", GREEN, 0.6, -0.9)
|
|
||||||
self.play(Create(c_edge), FadeIn(c_grp, scale=0.5), run_time=0.2)
|
|
||||||
self.play(FadeIn(self._add_leaf(c_pos, GREEN, "slot 0"), scale=0.8), run_time=0.3)
|
|
||||||
self.wait(0.3)
|
|
||||||
|
|
||||||
# ── R2: shares A B, branches D E ──
|
|
||||||
r2_lbl = show_label('R2: "A B D E"', ORANGE)
|
|
||||||
|
|
||||||
for g in [a_grp, b_grp]:
|
|
||||||
flash = SurroundingRectangle(g, color=YELLOW, buff=0.12)
|
|
||||||
self.play(Create(flash), run_time=0.1)
|
|
||||||
self.play(FadeOut(flash), run_time=0.08)
|
|
||||||
|
|
||||||
d_grp, d_edge, d_pos = self._add_node(b_pos, "D", ORANGE, -0.6, -0.9)
|
|
||||||
self.play(Create(d_edge), FadeIn(d_grp, scale=0.5), run_time=0.2)
|
|
||||||
e_grp, e_edge, e_pos = self._add_node(d_pos, "E", ORANGE, -0.6, -0.9)
|
|
||||||
self.play(Create(e_edge), FadeIn(e_grp, scale=0.5), run_time=0.2)
|
|
||||||
self.play(FadeIn(self._add_leaf(e_pos, ORANGE, "slot 1"), scale=0.8), run_time=0.3)
|
|
||||||
self.wait(0.3)
|
|
||||||
|
|
||||||
# ── R3: shares A B, single F ──
|
|
||||||
r3_lbl = show_label('R3: "A B F"', PINK)
|
|
||||||
|
|
||||||
f_grp, f_edge, f_pos = self._add_node(b_pos, "F", PINK, 0.0, -1.2)
|
|
||||||
self.play(Create(f_edge), FadeIn(f_grp, scale=0.5), run_time=0.2)
|
|
||||||
self.play(FadeIn(self._add_leaf(f_pos, PINK, "slot 2"), scale=0.8), run_time=0.3)
|
|
||||||
self.wait(0.3)
|
|
||||||
|
|
||||||
# ── R4: new prefix from root ──
|
|
||||||
r4_lbl = show_label('R4: "X Y"', TEAL)
|
|
||||||
|
|
||||||
x_grp, x_edge, x_pos = self._add_node(root_pos, "X", TEAL, -1.0, -0.9)
|
|
||||||
self.play(Create(x_edge), FadeIn(x_grp, scale=0.5), run_time=0.2)
|
|
||||||
y_grp, y_edge, y_pos = self._add_node(x_pos, "Y", TEAL, -0.6, -0.9)
|
|
||||||
self.play(Create(y_edge), FadeIn(y_grp, scale=0.5), run_time=0.2)
|
|
||||||
self.play(FadeIn(self._add_leaf(y_pos, TEAL, "slot 3"), scale=0.8), run_time=0.3)
|
|
||||||
self.wait(0.5)
|
|
||||||
|
|
||||||
# ── highlight shared prefix (tree stays) ──
|
|
||||||
reuse_box = SurroundingRectangle(VGroup(a_grp, b_grp), color=YELLOW, buff=0.15)
|
|
||||||
reuse_note = Text(
|
|
||||||
'Prefix "A B" shared\nby 3 requests — 0 copy',
|
|
||||||
font_size=16,
|
|
||||||
color=YELLOW,
|
|
||||||
)
|
|
||||||
reuse_note.next_to(reuse_box, LEFT, buff=1.0)
|
|
||||||
self.play(Create(reuse_box), Write(reuse_note))
|
|
||||||
self.wait(2)
|
|
||||||
self.play(FadeOut(reuse_box), FadeOut(reuse_note))
|
|
||||||
|
|
||||||
# ── summary below tree (tree stays visible) ──
|
|
||||||
summary = VGroup(
|
|
||||||
Text("KV cache reuse across requests", font_size=26, color=GREEN)
|
|
||||||
).arrange(DOWN, buff=0.2)
|
|
||||||
summary.to_edge(DOWN, buff=1.0)
|
|
||||||
self.play(Write(summary))
|
|
||||||
self.wait(2)
|
|
||||||
self.play(*[FadeOut(m) for m in self.mobjects])
|
|
||||||
|
|
@ -10,7 +10,7 @@ SCENES = [
|
||||||
("transformer.py", "Transformer"),
|
("transformer.py", "Transformer"),
|
||||||
("architecture.py", "Architecture"),
|
("architecture.py", "Architecture"),
|
||||||
("continuous_batching.py", "ContinuousBatching"),
|
("continuous_batching.py", "ContinuousBatching"),
|
||||||
("prefix_cache.py", "PrefixCache"),
|
("paged_cache.py", "PrefixCache"),
|
||||||
("cta.py", "CTA"),
|
("cta.py", "CTA"),
|
||||||
]
|
]
|
||||||
|
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue