# Copyright (c) 2026 LightSeek Foundation # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. """RMSNorm ops: rmsnorm_fused_parallel (fused parallel RMSNorm for two inputs).""" import functools from pathlib import Path import torch @functools.cache def _load_rmsnorm_module(): import tvm_ffi objs_dir = Path(__file__).parent / "objs" / "rmsnorm_fused_parallel" so_path = objs_dir / "rmsnorm_fused_parallel.so" if not so_path.exists(): raise RuntimeError( f"tokenspeed_kernel rmsnorm library not found at {so_path}. " "Run: pip install -e tokenspeed_kernel/python/" ) return tvm_ffi.load_module(str(so_path)) def rmsnorm_fused_parallel( input1: torch.Tensor, weight1: torch.Tensor, output1: torch.Tensor, input2: torch.Tensor, weight2: torch.Tensor, output2: torch.Tensor, eps: float = 1e-6, enable_pdl: bool = False, ) -> None: _load_rmsnorm_module().rmsnorm_fused_parallel( input1, weight1, output1, input2, weight2, output2, float(eps), bool(enable_pdl), )