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InfiniTensor 训练营 Triton & 九齿方向第一课《Triton 练气术》开讲。\r\n本节课作为 Triton 系列课程的基石，将带你从零认识 Triton，掌握其核心并行编程模型，并通过交互式可视化习题实战，打通高性能 AI 内核开发入门路径，降低 GPU 算子开发硬件门槛。\u003C\u002Fspan>\r\n\r\n## 什么是 Triton ？\r\n- 一门并行编程语言及其编译器\r\n- 专注于高效地实现高性能计算内核\r\n- 编程环境基于 Python\r\n\r\n## 为什么需要 Triton\r\n\r\n- **开发效率与门槛**：CUDA 需深入理解硬件细节（内存合并、共享内存、SM 调度等）；Triton 屏蔽了底层线程管理，仅需关注 Block 级调度。\r\n- **代码量与可读性**：实现同等矩阵乘法，Triton 代码量显著少于 CUDA，且逻辑更接近算法本身。\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=LCmYhVEUfbZBthnpKyuTcbxI7oo%3D)\r\n\r\n\r\n- **性能保障**：Triton 编写的 Kernel 经编译器优化后，可达官方算子库（如 cuBLAS）80%-90% 的性能，远超手写初级 CUDA 代码。\r\n- **最佳应用场景**：新算子原型验证（如 FlashAttention）、自定义融合算子开发；极致压榨硬件上限仍首选 CUDA。\r\n\r\n### Triton 的 API\r\n\r\n **核心理念**：掌握以下四个 API，即可理解 Triton 90% 的并行编程逻辑。\r\n\r\n#### 1. `triton.language.program_id`：\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw03.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=GX%2Fsc31orbEmBdnhQ2tqKySW2QI%3D)\r\n\r\n- **概念映射**：对应 CUDA 中的 Block Index，Triton 隐藏了 Thread 层，以 Block 为基本并行单元。\r\n- **作用**：区分不同的并行程序实例，使每个 Program 处理数据的不同分片。\r\n\r\n#### 2. `triton.language.arange`：\r\n- **基本功能**：生成 (`start`, `end`) 的递增整数向量。\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw04.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=2SJHeTYBekkcinwvdcf7NgaBPUs%3D)\r\n\r\n\r\n#### 3. `triton.language.load`：\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw05.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=2Glajktxc45%2FRQzMJyHpSv0Azp8%3D)\r\n\r\n- **`pointer` + `offsets`**：通过基地址指针加偏移量向量定位内存块。\r\n- **Mask 机制**：防止越界访问，仅加载满足条件的元素（关键安全措施）。\r\n- **`other` 参数**：指定被 Mask 掉位置的默认填充值（求和填 0，求最大值填负无穷等）。\r\n- **2^n 约束**：`load` 的 Block 大小必须为 2 的幂次，不足部分由 `mask` + `other` 处理。\r\n\r\n#### 4. `triton.language.store`：\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw06.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=RBIuBcFypXo5smFwX1mmeKY%2BJqM%3D)\r\n\r\n- **对称设计**：参数结构与 `load` 类似（`pointer`、`value`、`mask`），无 `other` 参数。\r\n- **边界安全**：同样依赖 `mask` 防止写入非法内存区域。\r\n\r\n## 实践演练：Triton Puzzles\r\n\r\n> 🛠️ **实践工具**：基于 Triton Puzzles 开源仓库，提供 3D 可视化调试界面（仅供学习交流）。\r\n\r\n### 1、基础向量运算\r\n-   **任务**：单 Block 内实现 `Z = X + 10`。\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw07.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=3zQvCKSH43LowOCrBIYXoC7bLSs%3D)\r\n\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw08.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=OVK8CWg2rmqYlyd00qZDJwbxKTM%3D)\r\n\r\n\r\n### 2、多 Block 并行与边界处理\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw09.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=13SMUhd%2FHKzdn7z9rGSsN6Usz0A%3D)\r\n\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw10.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=yg1Es7gu%2Fk5tS%2Fi5MoWhfUTmNVQ%3D)\r\n\r\n\r\n### 3、二维张量与 Broadcasting\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw11.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=6sI4nkPCZwd8phpE3C5lrhln1gc%3D)\r\n\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw12.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=Lvt0Igm9UDseDdtjJ%2F6qditojIs%3D)\r\n\r\n\r\n\r\n### 4、完整二维多 Block 算子\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw13.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=Vil0Mb2tuNpitPzEAYRRfuSwKJg%3D)\r\n\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw14.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ke5aBKnOoZfliB4AJhW9lHW7ONA%3D)\r\n\r\n\r\n\r\n\r\n## 加入训练营\r\n#### 📺完整课程内容，请观看直播或查看课程回放：\r\n**InfiniTensor 官网**： https:\u002F\u002Fwww.infinitensor.com\r\n\r\n**B站直播**： InfiniTensor 官方直播间\r\n\r\n**视频号直播**： InfiniTensor 视频号预约\r\n\r\n**答疑交流**： 训练营官方社群⬇️\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002F2026-xjq.png?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=RCGzL2mm8Hipb2jgTTOzg7DOtUs%3D)\r\n\r\n## 关注与交流\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_ewm02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ne2IbUxGKCs8rwPiAjr5B%2BpodTI%3D)",{"publishTime":7,"createTime":109,"canonicalPath":114,"id":115,"title":116},"\u002Fstudy-material\u002Fstudy-64","study-64","2026 夏季 InfiniTensor 训练营推理引擎 2：《大模型原理与结构》",44,"\u002Fstudy-material\u002Fstudy-65","study-65","markdown",{"publishTime":7,"createTime":109,"canonicalPath":122,"id":123,"title":124},"\u002Fstudy-material\u002Fstudy-66","study-66","2026 夏季 InfiniTensor 训练营 CPU 并行编程 1：《CPU 性能优化导论》",{"htmlContent":126,"headings":127},"\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw01.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=2Ecf%2BG7K1nolcDhDeR7Fmea3nCs%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size:12px;color:#555;\">7 月 16 日，2026 夏季 InfiniTensor 训练营 Triton & 九齿方向第一课《Triton 练气术》开讲。\u003Cbr>本节课作为 Triton 系列课程的基石，将带你从零认识 Triton，掌握其核心并行编程模型，并通过交互式可视化习题实战，打通高性能 AI 内核开发入门路径，降低 GPU 算子开发硬件门槛。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch2 id=\"什么是-triton\">\u003Ca class=\"anchor\" href=\"#什么是-triton\" aria-label=\"跳转到标题：什么是 Triton ？\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>什么是 Triton ？\u003C\u002Fh2>\u003Cul>\n\u003Cli>一门并行编程语言及其编译器\u003C\u002Fli>\n\u003Cli>专注于高效地实现高性能计算内核\u003C\u002Fli>\n\u003Cli>编程环境基于 Python\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"为什么需要-triton\">\u003Ca class=\"anchor\" href=\"#为什么需要-triton\" aria-label=\"跳转到标题：为什么需要 Triton\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>为什么需要 Triton\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>开发效率与门槛\u003C\u002Fstrong>：CUDA 需深入理解硬件细节（内存合并、共享内存、SM 调度等）；Triton 屏蔽了底层线程管理，仅需关注 Block 级调度。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>代码量与可读性\u003C\u002Fstrong>：实现同等矩阵乘法，Triton 代码量显著少于 CUDA，且逻辑更接近算法本身。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=LCmYhVEUfbZBthnpKyuTcbxI7oo%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>性能保障\u003C\u002Fstrong>：Triton 编写的 Kernel 经编译器优化后，可达官方算子库（如 cuBLAS）80%-90% 的性能，远超手写初级 CUDA 代码。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>最佳应用场景\u003C\u002Fstrong>：新算子原型验证（如 FlashAttention）、自定义融合算子开发；极致压榨硬件上限仍首选 CUDA。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3 id=\"triton-的-api\">\u003Ca class=\"anchor\" href=\"#triton-的-api\" aria-label=\"跳转到标题：Triton 的 API\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>Triton 的 API\u003C\u002Fh3>\u003Cp> \u003Cstrong>核心理念\u003C\u002Fstrong>：掌握以下四个 API，即可理解 Triton 90% 的并行编程逻辑。\u003C\u002Fp>\n\u003Ch4 id=\"1-triton-language-program-id\">\u003Ca class=\"anchor\" href=\"#1-triton-language-program-id\" aria-label=\"跳转到标题：1. triton.language.program_id：\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>1. \u003Ccode>triton.language.program_id\u003C\u002Fcode>：\u003C\u002Fh4>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw03.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=GX%2Fsc31orbEmBdnhQ2tqKySW2QI%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>概念映射\u003C\u002Fstrong>：对应 CUDA 中的 Block Index，Triton 隐藏了 Thread 层，以 Block 为基本并行单元。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>作用\u003C\u002Fstrong>：区分不同的并行程序实例，使每个 Program 处理数据的不同分片。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch4 id=\"2-triton-language-arange\">\u003Ca class=\"anchor\" href=\"#2-triton-language-arange\" aria-label=\"跳转到标题：2. triton.language.arange：\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>2. \u003Ccode>triton.language.arange\u003C\u002Fcode>：\u003C\u002Fh4>\u003Cul>\n\u003Cli>\u003Cstrong>基本功能\u003C\u002Fstrong>：生成 (\u003Ccode>start\u003C\u002Fcode>, \u003Ccode>end\u003C\u002Fcode>) 的递增整数向量。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw04.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=2SJHeTYBekkcinwvdcf7NgaBPUs%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch4 id=\"3-triton-language-load\">\u003Ca class=\"anchor\" href=\"#3-triton-language-load\" aria-label=\"跳转到标题：3. triton.language.load：\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>3. \u003Ccode>triton.language.load\u003C\u002Fcode>：\u003C\u002Fh4>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw05.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=2Glajktxc45%2FRQzMJyHpSv0Azp8%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>\u003Ccode>pointer\u003C\u002Fcode> + \u003Ccode>offsets\u003C\u002Fcode>\u003C\u002Fstrong>：通过基地址指针加偏移量向量定位内存块。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Mask 机制\u003C\u002Fstrong>：防止越界访问，仅加载满足条件的元素（关键安全措施）。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>\u003Ccode>other\u003C\u002Fcode> 参数\u003C\u002Fstrong>：指定被 Mask 掉位置的默认填充值（求和填 0，求最大值填负无穷等）。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>2^n 约束\u003C\u002Fstrong>：\u003Ccode>load\u003C\u002Fcode> 的 Block 大小必须为 2 的幂次，不足部分由 \u003Ccode>mask\u003C\u002Fcode> + \u003Ccode>other\u003C\u002Fcode> 处理。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch4 id=\"4-triton-language-store\">\u003Ca class=\"anchor\" href=\"#4-triton-language-store\" aria-label=\"跳转到标题：4. triton.language.store：\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>4. \u003Ccode>triton.language.store\u003C\u002Fcode>：\u003C\u002Fh4>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw06.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=RBIuBcFypXo5smFwX1mmeKY%2BJqM%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>对称设计\u003C\u002Fstrong>：参数结构与 \u003Ccode>load\u003C\u002Fcode> 类似（\u003Ccode>pointer\u003C\u002Fcode>、\u003Ccode>value\u003C\u002Fcode>、\u003Ccode>mask\u003C\u002Fcode>），无 \u003Ccode>other\u003C\u002Fcode> 参数。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>边界安全\u003C\u002Fstrong>：同样依赖 \u003Ccode>mask\u003C\u002Fcode> 防止写入非法内存区域。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"实践演练-triton-puzzles\">\u003Ca class=\"anchor\" href=\"#实践演练-triton-puzzles\" aria-label=\"跳转到标题：实践演练：Triton Puzzles\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>实践演练：Triton Puzzles\u003C\u002Fh2>\u003Cblockquote>\n\u003Cp>🛠️ \u003Cstrong>实践工具\u003C\u002Fstrong>：基于 Triton Puzzles 开源仓库，提供 3D 可视化调试界面（仅供学习交流）。\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch3 id=\"1-基础向量运算\">\u003Ca class=\"anchor\" href=\"#1-基础向量运算\" aria-label=\"跳转到标题：1、基础向量运算\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>1、基础向量运算\u003C\u002Fh3>\u003Cul>\n\u003Cli>\u003Cstrong>任务\u003C\u002Fstrong>：单 Block 内实现 \u003Ccode>Z = X + 10\u003C\u002Fcode>。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw07.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=3zQvCKSH43LowOCrBIYXoC7bLSs%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw08.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=OVK8CWg2rmqYlyd00qZDJwbxKTM%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch3 id=\"2-多-block-并行与边界处理\">\u003Ca class=\"anchor\" href=\"#2-多-block-并行与边界处理\" aria-label=\"跳转到标题：2、多 Block 并行与边界处理\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>2、多 Block 并行与边界处理\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw09.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=13SMUhd%2FHKzdn7z9rGSsN6Usz0A%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw10.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=yg1Es7gu%2Fk5tS%2Fi5MoWhfUTmNVQ%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch3 id=\"3-二维张量与-broadcasting\">\u003Ca class=\"anchor\" href=\"#3-二维张量与-broadcasting\" aria-label=\"跳转到标题：3、二维张量与 Broadcasting\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>3、二维张量与 Broadcasting\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw11.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=6sI4nkPCZwd8phpE3C5lrhln1gc%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw12.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=Lvt0Igm9UDseDdtjJ%2F6qditojIs%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch3 id=\"4-完整二维多-block-算子\">\u003Ca class=\"anchor\" href=\"#4-完整二维多-block-算子\" aria-label=\"跳转到标题：4、完整二维多 Block 算子\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>4、完整二维多 Block 算子\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw13.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=Vil0Mb2tuNpitPzEAYRRfuSwKJg%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_65_zw14.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ke5aBKnOoZfliB4AJhW9lHW7ONA%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch2 id=\"加入训练营\">\u003Ca class=\"anchor\" href=\"#加入训练营\" aria-label=\"跳转到标题：加入训练营\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>加入训练营\u003C\u002Fh2>\u003Ch4 id=\"完整课程内容-请观看直播或查看课程回放\">\u003Ca class=\"anchor\" href=\"#完整课程内容-请观看直播或查看课程回放\" aria-label=\"跳转到标题：📺完整课程内容，请观看直播或查看课程回放：\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>📺完整课程内容，请观看直播或查看课程回放：\u003C\u002Fh4>\u003Cp>\u003Cstrong>InfiniTensor 官网\u003C\u002Fstrong>： \u003Ca href=\"https:\u002F\u002Fwww.infinitensor.com\">https:\u002F\u002Fwww.infinitensor.com\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>B站直播\u003C\u002Fstrong>： InfiniTensor 官方直播间\u003C\u002Fp>\n\u003Cp>\u003Cstrong>视频号直播\u003C\u002Fstrong>： InfiniTensor 视频号预约\u003C\u002Fp>\n\u003Cp>\u003Cstrong>答疑交流\u003C\u002Fstrong>： 训练营官方社群⬇️\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002F2026-xjq.png?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=RCGzL2mm8Hipb2jgTTOzg7DOtUs%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch2 id=\"关注与交流\">\u003Ca class=\"anchor\" href=\"#关注与交流\" aria-label=\"跳转到标题：关注与交流\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>关注与交流\u003C\u002Fh2>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_ewm02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ne2IbUxGKCs8rwPiAjr5B%2BpodTI%3D\" alt=\"\">\u003C\u002Fp>\n",[128,131,134,137,141,144,147,150,153,156,159,162,165,167,170],{"id":129,"text":130,"level":110},"什么是-triton","什么是 Triton ？",{"id":132,"text":133,"level":110},"为什么需要-triton","为什么需要 Triton",{"id":135,"text":136,"level":9},"triton-的-api","Triton 的 API",{"id":138,"text":139,"level":140},"1-triton-language-program-id","1. triton.language.program_id：",4,{"id":142,"text":143,"level":140},"2-triton-language-arange","2. triton.language.arange：",{"id":145,"text":146,"level":140},"3-triton-language-load","3. triton.language.load：",{"id":148,"text":149,"level":140},"4-triton-language-store","4. triton.language.store：",{"id":151,"text":152,"level":110},"实践演练-triton-puzzles","实践演练：Triton Puzzles",{"id":154,"text":155,"level":9},"1-基础向量运算","1、基础向量运算",{"id":157,"text":158,"level":9},"2-多-block-并行与边界处理","2、多 Block 并行与边界处理",{"id":160,"text":161,"level":9},"3-二维张量与-broadcasting","3、二维张量与 Broadcasting",{"id":163,"text":164,"level":9},"4-完整二维多-block-算子","4、完整二维多 Block 算子",{"id":166,"text":166,"level":110},"加入训练营",{"id":168,"text":169,"level":140},"完整课程内容-请观看直播或查看课程回放","📺完整课程内容，请观看直播或查看课程回放：",{"id":171,"text":171,"level":110},"关注与交流"]