/******************************************************************************* * * MIT License * * Copyright (c) 2024 Advanced Micro Devices, Inc. * * 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. * *******************************************************************************/ #pragma once #include "tensor_holder.hpp" #include template T sigmoid(T x) { return static_cast(1.0f / (1.0f + exp(-x))); } template void cpu_glu_contiguous_dim0_forward(const tensor& input, tensor& ref_output) { auto output_dims = ref_output.desc.GetLengths(); auto output_numel = ref_output.desc.GetElementSize(); miopen::par_ford(output_numel)([&](size_t o) { T valA = input[o]; T valB = input[o + output_numel]; T val = valA * sigmoid(valB); ref_output[o] = val; }); } template void cpu_glu_contiguous_dim0_backward(const tensor& input, const tensor& grad_output, tensor& grad_input) { auto outputGrad_dims = grad_output.desc.GetLengths(); auto outputGrad_numel = grad_output.desc.GetElementSize(); miopen::par_ford(outputGrad_numel)([&](size_t o) { T inputFirstHalf_v = input[o]; T sigmoid_v = sigmoid(input[o + outputGrad_numel]); T grad_v = grad_output[o]; grad_input[o] = sigmoid_v * grad_v; grad_input[o + outputGrad_numel] = (1 - sigmoid_v) * sigmoid_v * grad_v * inputFirstHalf_v; }); }