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2026/10/6 1:29:16
ES Graph construction Samples
【免费下载链接】geGE（Graph Engine）是面向昇腾的图编译器和执行器，提供了计算图优化、多流并行、内存复用和模型下沉等技术手段，加速模型执行效率，减少模型内存占用。 GE 提供对 PyTorch、TensorFlow 前端的友好接入能力，并同时支持 onnx、pb 等主流模型格式的解析与编译。项目地址: https://gitcode.com/cann/ge
This directory provides various samples related to ES graph construction, including both C++ and Python implementations:
| Sample | Sample Link |
|---|---|
| ES graph construction control edge sample | C++ Sample Python Sample |
| ES graph construction control operator sample | C++ Sample Python Sample |
| ES graph construction dynamic input sample | C++ Sample Python Sample |
| ES graph construction dynamic output sample | C++ Sample Python Sample |
| ES graph construction normal attributes sample | C++ Sample Python Sample |
| ES graph construction normal input sample | C++ Sample Python Sample |
| ES graph construction operator overload sample | C++ Sample Python Sample |
| ES graph construction optional input sample | C++ Sample Python Sample |
| ES graph construction private attributes sample | C++ Sample Python Sample |
| ES graph construction transformer sample | C++ Sample Python Sample |
| ES graph construction transformer_nz sample | C++ Sample Python Sample |
| ES graph construction collective communication hccl_tp sample | C++ Sample Python Sample |
| ES graph construction collective communication hccl_ep sample | C++ Sample Python Sample |
| ES graph construction asynchronous execution sample | C++ Sample Python Sample |
【免费下载链接】geGE（Graph Engine）是面向昇腾的图编译器和执行器，提供了计算图优化、多流并行、内存复用和模型下沉等技术手段，加速模型执行效率，减少模型内存占用。 GE 提供对 PyTorch、TensorFlow 前端的友好接入能力，并同时支持 onnx、pb 等主流模型格式的解析与编译。项目地址: https://gitcode.com/cann/ge
创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考