* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
* \file rms_norm.cpp
* \brief
*/
#include "tilefwk/tilefwk.h"
#include "interface/inner/tilefwk.h"
using namespace npu::tile_fwk;
namespace npu::tile_fwk {
Tensor RmsNorm(const Tensor& operand)
{
constexpr float epsilon = 1e-6f;
auto fp32Operand = Cast(operand, DataType::DT_FP32);
auto y = Mul(fp32Operand, fp32Operand);
y = Mul(y, Element(DataType::DT_FP32, 1.0f / operand.GetShape()[operand.GetShape().size() - 1]));
y = Sum(y, -1, true);
y = Add(y, Element(DataType::DT_FP32, epsilon));
y = Sqrt(y);
Element src(DataType::DT_FP32, 1.0f);
auto ones = Full(src, DT_FP32, y.GetShape());
y = Div(ones, y);
return Cast(Mul(fp32Operand, y), operand.GetStorage()->Datatype());
}
Tensor RmsNorm(const Tensor& operand, const Tensor& gamma, float epsilon)
{
auto fp32Operand = Cast(operand, DataType::DT_FP32);
int size = operand.GetShape().size();
std::vector<int64_t> shape(size, 1);
shape[size - 1] = gamma.GetShape()[0];
auto gammaCast = Reshape(gamma, shape);
auto gammaOperand = Cast(gammaCast, DataType::DT_FP32);
auto y = Mul(fp32Operand, fp32Operand);
y = Mul(y, Element(DataType::DT_FP32, 1.0f / operand.GetShape()[operand.GetShape().size() - 1]));
y = Sum(y, -1, true);
y = Add(y, Element(DataType::DT_FP32, epsilon));
y = Sqrt(y);
Element src(DataType::DT_FP32, 1.0f);
auto ones = Full(src, DT_FP32, y.GetShape());
y = Div(ones, y);
y = Mul(fp32Operand, y);
y = Mul(gammaOperand, y);
y = Cast(y, operand.GetStorage()->Datatype());
return y;
}
}