1. Implement in [src/sgl-kernel/csrc/](https://github.com/sgl-project/sglang/tree/main/sgl-kernel/src/sgl-kernel/csrc)
1. Implement in [src/sgl-kernel/csrc/](https://github.com/sgl-project/sglang/tree/main/sgl-kernel/src/sgl-kernel/csrc)
2. Expose interface in [csrc/sgl_kernel_ops.cu](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/src/sgl-kernel/csrc/sgl_kernel_ops.cu) with pybind11
2. Expose interface in [csrc/sgl_kernel_ops.cu](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/src/sgl-kernel/csrc/sgl_kernel_ops.cu) with pybind11
3. Create Python wrapper in [src/sgl-kernel/ops/__init__.py](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/src/sgl-kernel/ops/__init__.py)
3. Create Python wrapper in [src/sgl-kernel/ops/\_\_init\_\_.py](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/src/sgl-kernel/ops/__init__.py)
4. Expose Python interface in [src/sgl-kernel/__init__.py](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/src/sgl-kernel/__init__.py)
4. Expose Python interface in [src/sgl-kernel/\_\_init\_\_.py](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/src/sgl-kernel/__init__.py)
5. Update [setup.py](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/setup.py) to include new CUDA source
5. Update [setup.py](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/setup.py) to include new CUDA source
Update version in [pyproject.toml](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/pyproject.toml)
Update version in [pyproject.toml](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/pyproject.toml) and [version.py](https://github.com/sgl-project/sglang/blob/main/sgl-kernel/version.py)