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-rw-r--r--Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_kullback_leibler_f16.c152
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diff --git a/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_kullback_leibler_f16.c b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_kullback_leibler_f16.c
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+++ b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_kullback_leibler_f16.c
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+/* ----------------------------------------------------------------------
+ * Project: CMSIS DSP Library
+ * Title: arm_logsumexp_f16.c
+ * Description: LogSumExp
+ *
+ * $Date: 23 April 2021
+ * $Revision: V1.9.0
+ *
+ * Target Processor: Cortex-M and Cortex-A cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2021 ARM Limited or its affiliates. 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
+ *
+ * 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 "dsp/statistics_functions_f16.h"
+
+#if defined(ARM_FLOAT16_SUPPORTED)
+
+#include <limits.h>
+#include <math.h>
+
+/**
+ @ingroup groupStats
+ */
+
+/**
+ @defgroup Kullback-Leibler Kullback-Leibler divergence
+
+ Computes the Kullback-Leibler divergence between two distributions
+
+ */
+
+
+/**
+ * @addtogroup Kullback-Leibler
+ * @{
+ */
+
+
+/**
+ * @brief Kullback-Leibler
+ *
+ * Distribution A may contain 0 with Neon version.
+ * Result will be right but some exception flags will be set.
+ *
+ * Distribution B must not contain 0 probability.
+ *
+ * @param[in] *pSrcA points to an array of input values for probaility distribution A.
+ * @param[in] *pSrcB points to an array of input values for probaility distribution B.
+ * @param[in] blockSize number of samples in the input array.
+ * @return Kullback-Leibler divergence D(A || B)
+ *
+ */
+
+#if defined(ARM_MATH_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+#include "arm_helium_utils.h"
+#include "arm_vec_math_f16.h"
+
+float16_t arm_kullback_leibler_f16(const float16_t * pSrcA,const float16_t * pSrcB,uint32_t blockSize)
+{
+ uint32_t blkCnt;
+ _Float16 accum, pA,pB;
+
+
+ blkCnt = blockSize;
+
+ accum = 0.0f16;
+
+ f16x8_t vSum = vdupq_n_f16(0.0f16);
+ blkCnt = blockSize >> 3;
+ while(blkCnt > 0)
+ {
+ f16x8_t vecA = vld1q(pSrcA);
+ f16x8_t vecB = vld1q(pSrcB);
+ f16x8_t vRatio;
+
+ vRatio = vdiv_f16(vecB, vecA);
+ vSum = vaddq_f16(vSum, vmulq(vecA, vlogq_f16(vRatio)));
+
+ /*
+ * Decrement the blockSize loop counter
+ * Advance vector source and destination pointers
+ */
+ pSrcA += 8;
+ pSrcB += 8;
+ blkCnt --;
+ }
+
+ accum = vecAddAcrossF16Mve(vSum);
+
+ blkCnt = blockSize & 7;
+ while(blkCnt > 0)
+ {
+ pA = *pSrcA++;
+ pB = *pSrcB++;
+ accum += pA * (_Float16)logf((float32_t)pB / (float32_t)pA);
+
+ blkCnt--;
+
+ }
+
+ return(-accum);
+}
+
+#else
+float16_t arm_kullback_leibler_f16(const float16_t * pSrcA,const float16_t * pSrcB,uint32_t blockSize)
+{
+ const float16_t *pInA, *pInB;
+ uint32_t blkCnt;
+ _Float16 accum, pA,pB;
+
+ pInA = pSrcA;
+ pInB = pSrcB;
+ blkCnt = blockSize;
+
+ accum = 0.0f;
+
+ while(blkCnt > 0)
+ {
+ pA = *pInA++;
+ pB = *pInB++;
+ accum += pA * (_Float16)logf((float32_t)pB / (float32_t)pA);
+
+ blkCnt--;
+
+ }
+
+ return(-accum);
+}
+#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
+
+/**
+ * @} end of Kullback-Leibler group
+ */
+
+#endif /* #if defined(ARM_FLOAT16_SUPPORTED) */
+