#pragma once /* * Copyright © Advanced Micro Devices, Inc. All rights reserved. * Copyright (c) 2024, The vLLM team. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include void rms_norm(torch::Tensor &out, torch::Tensor &input, torch::Tensor &weight, double epsilon); void fused_add_rms_norm(torch::Tensor &input, torch::Tensor &residual, torch::Tensor &weight, double epsilon); // ck torch::Tensor rmsnorm2d(torch::Tensor &input, torch::Tensor &weight, double epsilon); void rmsnorm2d_with_add(torch::Tensor &out, // [m ,n] torch::Tensor &input, // [m ,n] torch::Tensor &residual_in, // [m ,n] torch::Tensor &residual_out, // [m ,n] torch::Tensor &weight, // [1 ,n] double epsilon); void rmsnorm2d_with_smoothquant(torch::Tensor &out, // [m ,n] torch::Tensor &input, // [m ,n] torch::Tensor &xscale, // [1 ,n] torch::Tensor &yscale, // [m ,1] torch::Tensor &weight, // [1 ,n] double epsilon); void rmsnorm2d_with_add_smoothquant(torch::Tensor &out, // [m ,n] torch::Tensor &input, // [m ,n] torch::Tensor &residual_in, // [m ,n] torch::Tensor &residual_out, // [m ,n] torch::Tensor &xscale, // [1 ,n] torch::Tensor &yscale, // [m ,1] torch::Tensor &weight, // [1 ,n] double epsilon, std::optional out_before_quant); void rmsnorm2d_with_dynamicquant(torch::Tensor &out, // [m ,n] torch::Tensor &input, // [m ,n] torch::Tensor &yscale, // [m ,1] torch::Tensor &weight, // [1 ,n] double epsilon); void rmsnorm2d_with_add_dynamicquant(torch::Tensor &out, // [m ,n] torch::Tensor &input, // [m ,n] torch::Tensor &residual_in, // [m ,n] torch::Tensor &residual_out, // [m ,n] torch::Tensor &yscale, // [m ,1] torch::Tensor &weight, // [1 ,n] double epsilon);