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Drivers/CMSIS/DSP/Source/DistanceFunctions/arm_braycurtis_distance_f32.c

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+
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_braycurtis_distance_f32.c
+ * Description:  Bray-Curtis distance between two vectors
+ *
+ * $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/distance_functions.h"
+#include <limits.h>
+#include <math.h>
+
+
+
+/**
+  @addtogroup braycurtis
+  @{
+ */
+
+
+/**
+ * @brief        Bray-Curtis distance between two vectors
+ * @param[in]    pA         First vector
+ * @param[in]    pB         Second vector
+ * @param[in]    blockSize  vector length
+ * @return distance
+ *
+ */
+#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+#include "arm_helium_utils.h"
+
+float32_t arm_braycurtis_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
+{
+    float32_t       accumDiff = 0.0f, accumSum = 0.0f;
+    uint32_t        blkCnt;
+    f32x4_t         a, b, c, accumDiffV, accumSumV;
+
+
+    accumDiffV = vdupq_n_f32(0.0f);
+    accumSumV = vdupq_n_f32(0.0f);
+
+    blkCnt = blockSize >> 2;
+    while (blkCnt > 0) {
+        a = vld1q(pA);
+        b = vld1q(pB);
+
+        c = vabdq(a, b);
+        accumDiffV = vaddq(accumDiffV, c);
+
+        c = vaddq_f32(a, b);
+        c = vabsq_f32(c);
+        accumSumV = vaddq(accumSumV, c);
+
+        pA += 4;
+        pB += 4;
+        blkCnt--;
+    }
+
+    blkCnt = blockSize & 3;
+    if (blkCnt > 0U) {
+        mve_pred16_t    p0 = vctp32q(blkCnt);
+
+        a = vldrwq_z_f32(pA, p0);
+        b = vldrwq_z_f32(pB, p0);
+
+        c = vabdq(a, b);
+        accumDiffV = vaddq_m(accumDiffV, accumDiffV, c, p0);
+
+        c = vaddq_f32(a, b);
+        c = vabsq_f32(c);
+        accumSumV = vaddq_m(accumSumV, accumSumV, c, p0);
+    }
+
+    accumDiff = vecAddAcrossF32Mve(accumDiffV);
+    accumSum = vecAddAcrossF32Mve(accumSumV);
+
+    /*
+       It is assumed that accumSum is not zero. Since it is the sum of several absolute
+       values it would imply that all of them are zero. It is very unlikely for long vectors.
+     */
+    return (accumDiff / accumSum);
+}
+#else
+#if defined(ARM_MATH_NEON)
+
+#include "NEMath.h"
+
+float32_t arm_braycurtis_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
+{
+   float32_t accumDiff=0.0f, accumSum=0.0f;
+   uint32_t blkCnt;
+   float32x4_t a,b,c,accumDiffV, accumSumV;
+   float32x2_t accumV2;
+
+   accumDiffV = vdupq_n_f32(0.0f);
+   accumSumV = vdupq_n_f32(0.0f);
+
+   blkCnt = blockSize >> 2;
+   while(blkCnt > 0)
+   {
+        a = vld1q_f32(pA);
+        b = vld1q_f32(pB);
+
+        c = vabdq_f32(a,b);
+        accumDiffV = vaddq_f32(accumDiffV,c);
+
+        c = vaddq_f32(a,b);
+        c = vabsq_f32(c);
+        accumSumV = vaddq_f32(accumSumV,c);
+
+        pA += 4;
+        pB += 4;
+        blkCnt --;
+   }
+   accumV2 = vpadd_f32(vget_low_f32(accumDiffV),vget_high_f32(accumDiffV));
+   accumDiff = vget_lane_f32(accumV2, 0) + vget_lane_f32(accumV2, 1);
+
+   accumV2 = vpadd_f32(vget_low_f32(accumSumV),vget_high_f32(accumSumV));
+   accumSum = vget_lane_f32(accumV2, 0) + vget_lane_f32(accumV2, 1);
+
+   blkCnt = blockSize & 3;
+   while(blkCnt > 0)
+   {
+      accumDiff += fabsf(*pA - *pB);
+      accumSum += fabsf(*pA++ + *pB++);
+      blkCnt --;
+   }
+   /*
+
+   It is assumed that accumSum is not zero. Since it is the sum of several absolute
+   values it would imply that all of them are zero. It is very unlikely for long vectors.
+
+   */
+   return(accumDiff / accumSum);
+}
+
+#else
+float32_t arm_braycurtis_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
+{
+   float32_t accumDiff=0.0f, accumSum=0.0f, tmpA, tmpB;
+
+   while(blockSize > 0)
+   {
+      tmpA = *pA++;
+      tmpB = *pB++;
+      accumDiff += fabsf(tmpA - tmpB);
+      accumSum += fabsf(tmpA + tmpB);
+      blockSize --;
+   }
+   /*
+
+   It is assumed that accumSum is not zero. Since it is the sum of several absolute
+   values it would imply that all of them are zero. It is very unlikely for long vectors.
+
+   */
+   return(accumDiff / accumSum);
+}
+#endif
+#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
+
+
+/**
+ * @} end of braycurtis group
+ */
+