/*++ Copyright (c) Microsoft Corporation. All rights reserved. Licensed under the MIT License. Module Name: softmax.h Abstract: This module includes kernel function prototypes and helper functions for softmax. --*/ #pragma once #include "mlasi.h" struct MLAS_SOFTMAX_DISPATCH { /** * @brief Compute the hyperbolic tangent function for each element of the input array * @param Input Address of the input array. Valid in [-3.51562, 3.51562]. * @param Output Address of the output array. Could be the same as the input array. * @param N Number of elements in the input array */ typedef void(Tanh_Fp16_Fn)( const MLAS_FP16* Input, MLAS_FP16* Output, size_t N ); Tanh_Fp16_Fn* Tanh_Fp16 = nullptr; /** * @brief Compute the softcap function for each element of the input array. Use tanh activation. * @param Input Address of the input array. Valid if input / softcap in [-3.51562, 3.51562]. * @param Output Address of the output array. Could be the same as the input array. * @param N Number of elements in the input array * @param Softcap The softcap value */ typedef void(Softcap_Fp16_Fn)( const MLAS_FP16* Input, MLAS_FP16* Output, size_t N, const MLAS_FP16 Softcap ); Softcap_Fp16_Fn* Softcap_Fp16 = nullptr; /** * @brief Compute the exponential function for each element of the input array. * @param Input Address of the input array. Valid in [-17.3287, 11.0904]. * @param Output Address of the output array. Could be the same as the input array. * @param N Number of elements in the input array */ typedef void(Exp_Fp16_Fn)( const MLAS_FP16* Input, MLAS_FP16* Output, size_t N ); Exp_Fp16_Fn* Exp_Fp16 = nullptr; /** * @brief Find the max value among the input array * @param Input Address of the input array * @param N Number of elements in the input array */ typedef MLAS_FP16(ReduceMax_Fp16_Fn)( const MLAS_FP16* Input, size_t N ); ReduceMax_Fp16_Fn* ReduceMax_Fp16 = nullptr; /** * @brief Compute the expotential function for each element of the input array and returnt he sum. It has smaller * dynamic range for the input than Exp_Fp16_Fn thus is faster. * @param Input Address of the input array. Valid in [-10.7438, 10.7438] * @param Output Address of the output array. Could be the same as the input array or nullptr. * @param N Number of elements in the input array * @param NegativeMaximum The negative of the maximum value in the input array */ typedef MLAS_FP16(SumExp_Fp16_Fn)( const MLAS_FP16* Input, MLAS_FP16* Output, size_t N, const MLAS_FP16 NegativeMaximum ); SumExp_Fp16_Fn* SumExp_Fp16 = nullptr; /** * @brief Compute the softmax output for each element of the input array. input / sum. * @param Input Address of the input array. Values of exp(x) * @param Output Address of the output array. Could be the same as the input array. * @param N Number of elements in the input array * @param Sum Sum of exp(input) */ typedef void(Softmax_Fp16_Fn)( const MLAS_FP16* Input, MLAS_FP16* Output, size_t N, const MLAS_FP16 Sum ); Softmax_Fp16_Fn* Softmax_Fp16 = nullptr; /** * @brief Compute the log softmax output for each element of the input array. input - max - logSum * @param Input Address of the input array * @param Output Address of the output array. Could be the same as the input array. * @param N Number of elements in the input array * @param NagativeMaximum The negative of the maximum value in the input array * @param LogSum The logarithm of the sum of the exponential function of the input array */ typedef void(LogSoftmax_Fp16_Fn)( const MLAS_FP16* Input, MLAS_FP16* Output, size_t N, const MLAS_FP16 NagativeMaximum, const MLAS_FP16 LogSum ); LogSoftmax_Fp16_Fn* LogSoftmax_Fp16 = nullptr; };