| # /// script | |
| # requires-python = ">=3.10" | |
| # dependencies = [ | |
| # "numpy", | |
| # "torch==2.8.0", | |
| # "kernels-benchmark-tools", | |
| # ] | |
| # | |
| # [tool.uv.sources] | |
| # kernels-benchmark-tools = { path = "../../../../../tools", editable = true } | |
| # /// | |
| import torch | |
| import sys | |
| from kernels_benchmark_tools import KernelTypeEnum, run_benchmark | |
| def torch_layer_norm(x, weight, bias, eps: float = 1e-5): | |
| return torch.nn.functional.layer_norm(x, (x.shape[-1],), weight, bias, eps) | |
| run_benchmark( | |
| kernel_type=KernelTypeEnum.LAYER_NORM, | |
| impl_name="torch_layer_norm", | |
| impl_tags={"family": "torch", "op": "layer_norm"}, | |
| impl_func=torch_layer_norm, | |
| ) |