FA PTO PyTorch 移植示例【免费下载链接】pto-isaParallel Tile Operation (PTO) is a virtual instruction set architecture designed by Ascend CANN, focusing on tile-level operations. This repository offers high-performance, cross-platform tile operations across Ascend platforms.项目地址: https://gitcode.com/cann/pto-isa概述本示例演示了如何使用 PTO 实现 Flash Attention 内核并通过torch_npu将其作为自定义 PyTorch 算子对外暴露。示例展示了在 Ascend AI 处理器上实现高性能自定义内核集成并具备自动 tile 适配能力。支持的 AI 处理器A2/A3/A51. 环境准备创建虚拟环境并安装依赖python -m venv virEnv source virEnv/bin/activate python3 -m pip install -r requirements.txt确保已配置 Ascend Toolkit 和 PTO 库export ASCEND_HOME_PATH[YOUR_ASCEND_PATH/SYSTEM_ASCEND_PATH] source [YOUR_ASCEND_PATH/SYSTEM_ASCEND_PATH]/latest/bin/setenv.bash export PTO_LIB_PATH[YOUR_PATH]/pto-isa2. 构建 Wheel 包项目支持通过SOC_VERSION环境变量为不同的 SOC 版本进行构建。构建系统会根据目标 SOC 自动配置正确的优化宏例如PTO_NPU_ARCH_A2A3与PTO_NPU_ARCH_A5。默认构建A2 / A3python3 setup.py bdist_wheel为特定 SOC 构建例如 A5# A5 示例 SOC_VERSIONascend910_9599 python3 setup.py bdist_wheel3. 安装 Wheel 包pip install dist/*.whl --force-reinstall4. 运行测试运行验证脚本将内核结果与黄金参考值进行比较。测试涵盖多种序列长度1k 至 32k并验证动态 tile 逻辑。cd test python3 test.py特性动态 Tiling根据输入序列长度自动选择最佳 tile 大小128 或 256。跨架构支持通过构建时配置统一的代码库同时支持 A2/A3 和 A5 架构。【免费下载链接】pto-isaParallel Tile Operation (PTO) is a virtual instruction set architecture designed by Ascend CANN, focusing on tile-level operations. This repository offers high-performance, cross-platform tile operations across Ascend platforms.项目地址: https://gitcode.com/cann/pto-isa创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考