Name Date Size #Lines LOC

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cpu/H25-Apr-2025-2,8382,261

test/H25-Apr-2025-2,3981,827

CMakeLists.txtH A D25-Apr-20256.2 KiB158143

README.mdH A D25-Apr-2025439 138

TARGETSH A D25-Apr-202593 63

__init__.pyH A D25-Apr-2025596 2212

quantized.yamlH A D25-Apr-20256.1 KiB11495

targets.bzlH A D25-Apr-20254.8 KiB137125

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