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author | alexander <alexander.efremov@arm.com> | 2021-03-26 21:42:19 +0000 |
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committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-03-29 16:29:55 +0100 |
commit | 3c79893217bc632c9b0efa815091bef3c779490c (patch) | |
tree | ad06b444557eb8124652b45621d736fa1b92f65d /source/application/main/PlatformMath.cc | |
parent | 6ad6d55715928de72979b04194da1bdf04a4c51b (diff) | |
download | ml-embedded-evaluation-kit-3c79893217bc632c9b0efa815091bef3c779490c.tar.gz |
Opensource ML embedded evaluation kit21.03
Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd
Diffstat (limited to 'source/application/main/PlatformMath.cc')
-rw-r--r-- | source/application/main/PlatformMath.cc | 196 |
1 files changed, 196 insertions, 0 deletions
diff --git a/source/application/main/PlatformMath.cc b/source/application/main/PlatformMath.cc new file mode 100644 index 0000000..a9f5049 --- /dev/null +++ b/source/application/main/PlatformMath.cc @@ -0,0 +1,196 @@ +/* + * Copyright (c) 2021 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. + */ +#include "PlatformMath.hpp" + +#if 0 == ARM_DSP_AVAILABLE + #include <cmath> + #include <numeric> +#endif /* 0 == ARM_DSP_AVAILABLE */ + +namespace arm { +namespace app { +namespace math { + + float MathUtils::CosineF32(float radians) + { +#if ARM_DSP_AVAILABLE + return arm_cos_f32(radians); +#else /* ARM_DSP_AVAILABLE */ + return cos(radians); +#endif /* ARM_DSP_AVAILABLE */ + } + + float MathUtils::SqrtF32(float input) + { +#if ARM_DSP_AVAILABLE + float output = 0.f; + arm_sqrt_f32(input, &output); + return output; +#else /* ARM_DSP_AVAILABLE */ + return sqrtf(input); +#endif /* ARM_DSP_AVAILABLE */ + } + + float MathUtils::MeanF32(float* ptrSrc, const uint32_t srcLen) + { + if (!srcLen) { + return 0.f; + } + +#if ARM_DSP_AVAILABLE + float result = 0.f; + arm_mean_f32(ptrSrc, srcLen, &result); + return result; +#else /* ARM_DSP_AVAILABLE */ + float acc = std::accumulate(ptrSrc, ptrSrc + srcLen, 0.0); + return acc/srcLen; +#endif /* ARM_DSP_AVAILABLE */ + } + + float MathUtils::StdDevF32(float* ptrSrc, const uint32_t srcLen, + const float mean) + { + if (!srcLen) { + return 0.f; + } +#if ARM_DSP_AVAILABLE + /** + * Note Standard deviation calculation can be off + * by > 0.01 but less than < 0.1, according to + * preliminary findings. + **/ + UNUSED(mean); + float stdDev = 0; + arm_std_f32(ptrSrc, srcLen, &stdDev); + return stdDev; +#else /* ARM_DSP_AVAILABLE */ + auto VarianceFunction = [=](float acc, const float value) { + return acc + (((value - mean) * (value - mean))/ srcLen); + }; + + float acc = std::accumulate(ptrSrc, ptrSrc + srcLen, 0.0, + VarianceFunction); + + return sqrtf(acc); +#endif /* ARM_DSP_AVAILABLE */ + } + + bool MathUtils::FftInitF32(const uint16_t fftLen, arm::app::math::FftInstance& fftInstance) + { +#if ARM_DSP_AVAILABLE + if (!fftInstance.initialised) { + arm_status status = arm_rfft_fast_init_f32(&fftInstance.instance, fftLen); + + if (ARM_MATH_SUCCESS != status) { + return false; + } + fftInstance.initialised = true; + } +#else + UNUSED(fftLen); + UNUSED(fftInstance); +#endif /* ARM_DSP_AVAILABLE */ + return true; + } + + void MathUtils::FftF32(std::vector<float>& input, + std::vector<float>& fftOutput, + arm::app::math::FftInstance& fftInstance) + { +#if ARM_DSP_AVAILABLE + arm_rfft_fast_f32(&fftInstance.instance, input.data(), fftOutput.data(), 0); +#else + UNUSED(fftInstance); + const int inputLength = input.size(); + + for (int k = 0; k <= inputLength / 2; k++) { + float sumReal = 0, sumImag = 0; + + for (int t = 0; t < inputLength; t++) { + float angle = 2 * M_PI * t * k / inputLength; + sumReal += input[t] * cosf(angle); + sumImag += -input[t] * sinf(angle); + } + + /* Arrange output to [real0, realN/2, real1, im1, real2, im2, ...] */ + if (k == 0) { + fftOutput[0] = sumReal; + } else if (k == inputLength / 2) { + fftOutput[1] = sumReal; + } else { + fftOutput[k*2] = sumReal; + fftOutput[k*2 + 1] = sumImag; + }; + } +#endif /* ARM_DSP_AVAILABLE */ + } + + void MathUtils::VecLogarithmF32(std::vector <float>& input, + std::vector <float>& output) + { +#if ARM_DSP_AVAILABLE + arm_vlog_f32(input.data(), output.data(), + output.size()); +#else /* ARM_DSP_AVAILABLE */ + for (auto in = input.begin(), out = output.begin(); + in != input.end(); ++in, ++out) { + *out = logf(*in); + } +#endif /* ARM_DSP_AVAILABLE */ + } + + float MathUtils::DotProductF32(float* srcPtrA, float* srcPtrB, + const uint32_t srcLen) + { + float output = 0.f; + +#if ARM_DSP_AVAILABLE + arm_dot_prod_f32(srcPtrA, srcPtrB, srcLen, &output); +#else /* ARM_DSP_AVAILABLE */ + for (uint32_t i = 0; i < srcLen; ++i) { + output += *srcPtrA++ * *srcPtrB++; + } +#endif /* ARM_DSP_AVAILABLE */ + + return output; + } + + bool MathUtils::ComplexMagnitudeSquaredF32(float* ptrSrc, + const uint32_t srcLen, + float* ptrDst, + const uint32_t dstLen) + { + if (dstLen < srcLen/2) { + printf_err("dstLen must be greater than srcLen/2"); + return false; + } + +#if ARM_DSP_AVAILABLE + arm_cmplx_mag_squared_f32(ptrSrc, ptrDst, srcLen/2); +#else /* ARM_DSP_AVAILABLE */ + for (uint32_t j = 0; j < srcLen; ++j) { + const float real = *ptrSrc++; + const float im = *ptrSrc++; + *ptrDst++ = real*real + im*im; + } +#endif /* ARM_DSP_AVAILABLE */ + return true; + } + +} /* namespace math */ +} /* namespace app */ +} /* namespace arm */
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