Features Sample Introduction
Overview
Based on Ascend C feature samples, this document introduces features such as Aclnn (GE graph entry) projects, LocalMemoryAllocator, and Barrier separate memory allocation.
Sample List
| Directory Name | Description |
|---|---|
| 00_compilation | This sample introduces the implementation of custom operator compilation projects and static Aclnn invocation |
| 01_invocation | This sample introduces the implementation of Aclnn and Aclop operator invocation |
| 02_framework | This sample introduces custom operator implementation methods for PyTorch, TensorFlow, and ONNX frameworks |
| 03_basic_api | This sample introduces the usage of Ascend C Basic API, including data movement, matrix computation, memory vector computation, resource management, synchronization control, system access, atomic operations, and scalar computation |
| 04_aicpu | This sample introduces the implementation of using AI CPU operators for Tiling sink computation |
| 05_tensor_api | This sample demonstrates the implementation of using TENSOR_API to build Matmul operators in multi-core scenarios, with Relu and inline quantization enabled |