/* * Copyright (c) 2021-2022 Arm Limited. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * 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. */ #ifndef PLATFORM_MATH_HPP #define PLATFORM_MATH_HPP /* See if ARM DSP functions can be used. */ #if defined(ARM_MATH_DSP) #include "arm_math.h" #define M_PI (PI) #else #include #endif #include #include #include namespace arm { namespace app { namespace math { enum class FftType { real = 0, complex = 1 }; struct FftInstance { #if ARM_MATH_DSP arm_rfft_fast_instance_f32 m_instanceReal; arm_cfft_instance_f32 m_instanceComplex; #endif uint16_t m_fftLen{0}; FftType m_type{FftType::real}; bool m_optimisedOptionAvailable{false}; bool m_initialised{false}; }; /* Class to provide Math functions like FFT, mean, stddev etc. * This will allow other classes, functions to be independent of * #if definition checks and provide a cleaner API. Also, it will * consolidate all arm math functions used in one place and make * them easier to test. */ class MathUtils { public: /** * @brief Get the cosine value of the argument in floating point. * @param[in] radians Angle in radians. * @return Cosine value (floating point). */ static float CosineF32(float radians); /** * @brief Get the sine value of the argument in floating point. * @param[in] radians Angle in radians. * @return Sine value (floating point). */ static float SineF32(float radians); /** * @brief Get the square root of the argument in floating point. * @param[in] input Value to compute square root of. * @return Square root (floating point) value. */ static float SqrtF32(float input); /** * @brief Gets the mean of a floating point array of elements. * @param[in] ptrSrc Pointer to the first element. * @param[in] srcLen Number of elements in the array/vector. * @return Average value. */ static float MeanF32(float* ptrSrc, uint32_t srcLen); /** * @brief Gets the standard deviation of a floating point array * of elements. * @param[in] ptrSrc Pointer to the first element. * @param[in] srcLen Number of elements in the array/vector. * @param[in] mean Pre-computed mean value. * @return Standard deviation value. */ static float StdDevF32(float* ptrSrc, uint32_t srcLen, float mean); /** * @brief Initialises the internal FFT structures (if available * for the platform). This function should be called * prior to Fft32 function call if built with ARM DSP functions. * @param[in] fftLen Requested length of the FFT. * @param[in] fftInstance FFT instance struct to use. * @param[in] type FFT type (real or complex) */ static void FftInitF32(uint16_t fftLen, FftInstance& fftInstance, FftType type = FftType::real); /** * @brief Computes the FFT for the input vector. * @param[in] input Floating point vector of input elements * @param[out] fftOutput Output buffer to be populated by computed FFTs. * @param[in] fftInstance FFT instance struct to use. */ static void FftF32(std::vector& input, std::vector& fftOutput, FftInstance& fftInstance); /** * @brief Computes the natural logarithms of input floating point * vector * @param[in] input Floating point input vector * @param[out] output Pre-allocated buffer to be populated with * natural log values of each input element. */ static void VecLogarithmF32(std::vector& input, std::vector& output); /** * @brief Computes the dot product of two 1D floating point * vectors. * result = sum(srcA[0]*srcB[0] + srcA[1]*srcB[1] + ..) * @param[in] srcPtrA Pointer to the first element of first * array. * @param[in] srcPtrB Pointer to the first element of second * array. * @param[in] srcLen Number of elements in the array/vector. * @return Dot product. */ static float DotProductF32(float* srcPtrA, float* srcPtrB, uint32_t srcLen); /** * @brief Computes the squared magnitude of floating point * complex number array. * @param[in] ptrSrc Pointer to the first element of input * array. * @param[in] srcLen Number of elements in the array/vector. * @param[out] ptrDst Output buffer to be populated. * @param[in] dstLen Output buffer len (for sanity check only). * @return true if successful, false otherwise. */ static bool ComplexMagnitudeSquaredF32(float* ptrSrc, uint32_t srcLen, float* ptrDst, uint32_t dstLen); /** * @brief Scales output scores for an arbitrary number of classes so * that they sum to 1, allowing output to be expressed as a probability. * @param[in] vector Vector of floats modified in-place */ static void SoftmaxF32(std::vector& vec); /** * @brief Calculate the Sigmoid function of the given value. * @param[in] x Value to apply Sigmoid to. * @return Sigmoid value of the input. */ static float SigmoidF32(float x); }; } /* namespace math */ } /* namespace app */ } /* namespace arm */ #endif /* PLATFORM_MATH_HPP */