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English | 简体中文
Introduction
Description:
- For details about the AI Core, see the "Concepts, Principles, and Terms > Hardware Architecture and Data Processing Principles" section in Ascend C Operator Development.
This project provides development and invocation samples for AI Core operators. Refer to the corresponding implementations based on your actual requirements.
Directory Description
├── example
│ ├── add_example # Directory name of the AddExample operator, generally in lowercase with underscores
│ │ ├── CMakeLists.txt # Operator compilation configuration file; keep the original file
│ │ ├── examples # Operator usage examples
│ │ ├── op_graph # Directory related to operator graph construction
│ │ ├── op_host # Implementations related to the operator information library, Tiling, and InferShape
│ │ ├── op_kernel # Operator kernel directory
│ │ └── op_kernel_aicpu # Operator kernel_aicpu directory
│ ├── attention # Examples of attention operators
│ │ └── flash_attn
│ │ └── L0_minimal # Minimal FlashAttention sample, with only op_kernel and no Host Tiling
│ ├── mc2 # Examples of communication-computation fusion operators
│ │ ├── all_gather_add # Directory name of the AllGatherAdd operator, generally in lowercase with underscores
│ │ │ └── ...
│ ├── CMakeLists.txt # Operator compilation configuration file; keep the original file
│ └── README.md # Operator description document
Operator Development Samples
| Sample Directory | Sample Description | Operator Development | Operator Invocation |
|---|---|---|---|
| add_example | Operator that adds two tensors. | For the end-to-end operator development process, see the AI Core Operator Development Guide. | For the invocation sample, see README |
| mc2/all_gather_add | Performs AllGather collective communication first, and then performs element-wise addition. | For the end-to-end operator development process, see the AI Core Operator Development Guide. | For the invocation sample, see README |
| mc2/ccu_alltoall | CCU direct-call (<<<>>>) AllToAll collective communication + Blaze MXFP8 MatMul dual-stream operator fusion (kernel direct-call sample). |
— | For the invocation sample, see README |
| attention/flash_attn/L0_minimal | Minimal FlashAttention implementation, with no mask, no combine, and no independent Host Tiling. | For the operator implementation details, see FA_IMPL.md. | For the invocation sample, see README |