| Name | Date | Size | #Lines | LOC | ||
|---|---|---|---|---|---|---|
| .. | - | - | ||||
| cpu/ | 04-Jul-2025 | - | 2,838 | 2,261 | ||
| test/ | 04-Jul-2025 | - | 2,398 | 1,827 | ||
| CMakeLists.txt | D | 04-Jul-2025 | 6.2 KiB | 158 | 143 | |
| README.md | D | 04-Jul-2025 | 439 | 13 | 8 | |
| TARGETS | D | 04-Jul-2025 | 93 | 6 | 3 | |
| __init__.py | D | 04-Jul-2025 | 596 | 22 | 12 | |
| quantized.yaml | D | 04-Jul-2025 | 6.1 KiB | 114 | 95 | |
| targets.bzl | D | 04-Jul-2025 | 4.8 KiB | 137 | 125 |
README.md
1# Quantized Ops 2 3This folder contains kernels for quantization related ops, similar to `//executorch/kernels/portable/`. 4 5## How to add quantized ops 6 71. Add a new operator definition in `quantized.yaml` 8 92. Implement the kernel for this operator. 103. Add unit test in `/test` directory. 114. Start to use `//executorch/kernels/quantized:generated_lib` in ExecuTorch or 12 create your own generated lib if you only need a subset of the ops. 13