Added tests for the new accumulate functions.

Corrected build issue on Neon without aarch64 support. Corrected some Doxygen issues
3 years ago · 865419778b
parent 2887bff90c
commit 865419778b
20 changed files with 2094 additions and 22 deletions
--- a/Source/StatisticsFunctions/Config.cmake
+++ b/Source/StatisticsFunctions/Config.cmake
@ -81,6 +81,8 @@ target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_mse_q31.c)
 target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_mse_f16.c)
 target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_mse_f32.c)
 target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_mse_f64.c)
+target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_accumulate_f64.c)
+target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_accumulate_f32.c)


 if ((NOT ARMAC5) AND (NOT DISABLEFLOAT16))
@ -102,4 +104,5 @@ target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_absmax_f16.c)
 target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_absmin_f16.c)
 target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_absmax_no_idx_f16.c)
 target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_absmin_no_idx_f16.c)
+target_sources(CMSISDSP PRIVATE StatisticsFunctions/arm_accumulate_f16.c)
 endif()
--- a/Source/StatisticsFunctions/StatisticsFunctions.c
+++ b/Source/StatisticsFunctions/StatisticsFunctions.c
@ -100,7 +100,5 @@
 #include "arm_mse_f64.c"
 #include "arm_accumulate_f32.c"
 #include "arm_accumulate_f64.c"
-#include "arm_accumulate_q7.c"
-#include "arm_accumulate_q15.c"
-#include "arm_accumulate_q31.c"
+

--- a/Source/StatisticsFunctions/arm_accumulate_f16.c
+++ b/Source/StatisticsFunctions/arm_accumulate_f16.c
@ -36,7 +36,7 @@
 */

 /**
- @defgroup Accumulation
+ @defgroup Accumulation Accumulation functions
 
 Calculates the accumulation of the input vector. Sum is defined as the addition of the elements in the vector.
 The underlying algorithm is used:
@ -57,7 +57,7 @@
 @brief         accumulate value of a floating-point vector.
 @param[in]     pSrc       points to the input vector.
 @param[in]     blockSize  number of samples in input vector.
- @param[out]    pResult    sum value returned here.
+ @param[out]    pResult    sum of values in input vector.
 @return        none
 */

@ -67,7 +67,7 @@ void arm_accumulate_f16(
                        float16_t * pResult)
 {
  uint32_t blkCnt;                               /* Loop counter */
-  float16_t sum = 0.0f;                          /* Temporary result storage */
+  float16_t sum = 0.0f16;                          /* Temporary result storage */
  
 #if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE)
  
--- a/Source/StatisticsFunctions/arm_accumulate_f32.c
+++ b/Source/StatisticsFunctions/arm_accumulate_f32.c
@ -42,12 +42,64 @@
 @brief         Accumulation value of a floating-point vector.
 @param[in]     pSrc       points to the input vector.
 @param[in]     blockSize  number of samples in input vector.
- @param[out]    pResult    sum value returned here.
+ @param[out]    pResult    sum of values in input vector.
 @return        none
 */

+#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+#include "arm_helium_utils.h"

-#if defined(ARM_MATH_NEON_EXPERIMENTAL) && !defined(ARM_MATH_AUTOVECTORIZE)
+void arm_accumulate_f32(
+                        const float32_t * pSrc,
+                        uint32_t blockSize,
+                        float32_t * pResult)
+{
+    f32x4_t vecA;
+    f32x4_t vecSum;
+    uint32_t blkCnt; 
+    float32_t sum = 0.0f;  
+    vecSum = vdupq_n_f32(0.0f);
+
+    /* Compute 4 outputs at a time */
+    blkCnt = blockSize >> 2U;
+    while (blkCnt > 0U)
+    {
+        /*
+         * C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1]
+         * Calculate dot product and then store the result in a temporary buffer.
+         * and advance vector source and destination pointers
+         */
+        vecA = vld1q_f32(pSrc);
+        pSrc += 4;
+        
+        vecSum = vaddq_f32(vecSum, vecA);
+        /*
+         * Decrement the blockSize loop counter
+         */
+        blkCnt --;
+    }
+
+
+    blkCnt = blockSize & 3;
+    if (blkCnt > 0U)
+    {
+        /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
+
+        mve_pred16_t p0 = vctp32q(blkCnt);
+        vecA = vld1q(pSrc);
+        vecSum = vaddq_m(vecSum,vecSum, vecA, p0);
+    }
+
+    sum = vecAddAcrossF32Mve(vecSum);
+
+    /* Store result in destination buffer */
+    *pResult = sum;
+}
+
+#else
+
+#if defined(ARM_MATH_NEON) && !defined(ARM_MATH_AUTOVECTORIZE)
 void arm_accumulate_f32(
                        const float32_t * pSrc,
                        uint32_t blockSize,
@ -96,6 +148,7 @@ void arm_accumulate_f32(
  /* Store the result to the destination */
  *pResult = sum;
 }
+
 #else
 void arm_accumulate_f32(
                        const float32_t * pSrc,
@ -150,7 +203,7 @@ void arm_accumulate_f32(
 }
 #endif /* #if defined(ARM_MATH_NEON) */

-
+#endif /* #if defined(ARM_MATH_MVEF) */
 /**
 @} end of Accumulation group
 */
--- a/Source/StatisticsFunctions/arm_accumulate_f64.c
+++ b/Source/StatisticsFunctions/arm_accumulate_f64.c
@ -42,10 +42,10 @@
 @brief         Accumulation value of a floating-point vector.
 @param[in]     pSrc       points to the input vector.
 @param[in]     blockSize  number of samples in input vector.
- @param[out]    pResult    sum value returned here.
+ @param[out]    pResult    sum of values in input vector.
 @return        none
 */
-#if defined(ARM_MATH_NEON)
+#if defined(ARM_MATH_NEON) && defined(__aarch64__)
 void arm_accumulate_f64(
                        const float64_t * pSrc,
                        uint32_t blockSize,
--- a/Testing/PatternGeneration/Stats.py
+++ b/Testing/PatternGeneration/Stats.py
@ -477,8 +477,7 @@ def writeTests(config,nb,format):
 # So new tests have to be added after existing ones
 def writeNewsTests(config,nb,format):
    NBSAMPLES = 300
-    if format==Tools.F16:
-       config.setOverwrite(True)
+    
    data1=np.random.randn(NBSAMPLES)
    data1 = Tools.normalize(data1)

@ -492,7 +491,39 @@ def writeNewsTests(config,nb,format):

    config.writeInput(2, data2,"InputNew")
    nb=generateOperatorTests(config,nb,format,data1,data2,mseTest,"MSEVals")
-    config.setOverwrite(False)
+
+    return(nb)
+
+def writeAccumulateTests(config,nb,format):
+    NBSAMPLES = 300
+    data1=np.random.randn(NBSAMPLES)
+
+    # First value is the number of tests
+    # Other values are the number of samples in each test
+    nbsamples = [4]
+    nbiters = Tools.loopnb(format,Tools.TAILONLY)
+    nbsamples.append(nbiters)
+    
+    nbiters = Tools.loopnb(format,Tools.BODYONLY)
+    nbsamples.append(nbiters)
+    
+    nbiters = Tools.loopnb(format,Tools.BODYANDTAIL)
+    nbsamples.append(nbiters)
+
+    nbsamples.append(NBSAMPLES)
+    ref=[]
+
+
+    for nb in nbsamples[1:]:
+        t = np.sum(data1[:nb])
+        ref.append(t)
+
+    config.writeInput(1, data1,"InputAccumulate")
+    config.writeInputS16(1, nbsamples,"InputAccumulateConfig")
+    config.writeReference(1, ref,"RefAccumulate")
+
+    return(nb+1)
+
    

 def generateBenchmark(config,format):
@ -536,24 +567,27 @@ def generatePatterns():

    nb=writeTests(configf32,1,0)
    nb=writeF32OnlyTests(configf32,22)
-    writeNewsTests(configf32,nb,Tools.F32)
+    nb=writeNewsTests(configf32,nb,Tools.F32)
+    nb=writeAccumulateTests(configf32,nb,Tools.F32)

    nb=writeTests(configf64,1,Tools.F64)
    nb=writeF64OnlyTests(configf64,22)
-    writeNewsTests(configf64,nb,Tools.F64)
+    nb=writeNewsTests(configf64,nb,Tools.F64)
+    nb=writeAccumulateTests(configf64,nb,Tools.F64)

    nb=writeTests(configq31,1,31)
-    writeNewsTests(configq31,nb,Tools.Q31)
+    nb=writeNewsTests(configq31,nb,Tools.Q31)

    nb=writeTests(configq15,1,15)
-    writeNewsTests(configq15,nb,Tools.Q15)
+    nb=writeNewsTests(configq15,nb,Tools.Q15)

    nb=writeTests(configq7,1,7)
-    writeNewsTests(configq7,nb,Tools.Q7)
+    nb=writeNewsTests(configq7,nb,Tools.Q7)

    nb=writeTests(configf16,1,16)
    nb=writeF16OnlyTests(configf16,22)
-    writeNewsTests(configf16,nb,Tools.F16)
+    nb=writeNewsTests(configf16,nb,Tools.F16)
+    nb=writeAccumulateTests(configf16,nb,Tools.F16)

    generateBenchmark(configf64, Tools.F64)
    generateBenchmark(configf32, Tools.F32)
--- a/Testing/Patterns/DSP/Stats/StatsF16/InputAccumulate1_f16.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF16/InputAccumulate1_f16.txt
@ -0,0 +1,602 @@
+H
+300
+// 0.403228
+0x3674
+// 0.790535
+0x3a53
+// -1.765692
+0xbf10
+// 0.564353
+0x3884
+// 0.135080
+0x3053
+// -0.646656
+0xb92c
+// 0.647246
+0x392e
+// 0.108600
+0x2ef3
+// 0.255541
+0x3417
+// -0.587044
+0xb8b2
+// -0.863863
+0xbae9
+// -0.721468
+0xb9c6
+// -1.283427
+0xbd22
+// -0.948428
+0xbb96
+// 0.620959
+0x38f8
+// 1.702865
+0x3ed0
+// 0.077509
+0x2cf6
+// 2.637373
+0x4146
+// -0.508381
+0xb811
+// 0.879278
+0x3b09
+// -0.800507
+0xba67
+// 0.146854
+0x30b3
+// 0.080875
+0x2d2d
+// -0.004483
+0x9c97
+// 1.082495
+0x3c54
+// 0.629065
+0x3908
+// 1.153966
+0x3c9e
+// 0.596096
+0x38c5
+// 1.799158
+0x3f32
+// -0.904648
+0xbb3d
+// 0.234833
+0x3384
+// 0.406887
+0x3683
+// -0.571166
+0xb892
+// 0.229944
+0x335c
+// -0.222729
+0xb321
+// -2.061951
+0xc020
+// -1.736408
+0xbef2
+// 0.433383
+0x36ef
+// -0.573268
+0xb896
+// 0.898404
+0x3b30
+// 0.790407
+0x3a53
+// 1.047674
+0x3c31
+// -0.324671
+0xb532
+// 0.892667
+0x3b24
+// 0.867253
+0x3af0
+// -0.839434
+0xbab7
+// 0.296731
+0x34bf
+// -2.105106
+0xc036
+// -1.402729
+0xbd9c
+// 0.188074
+0x3205
+// 0.404535
+0x3679
+// -0.336336
+0xb562
+// -0.797713
+0xba62
+// 1.218317
+0x3ce0
+// 0.727737
+0x39d2
+// -0.920469
+0xbb5d
+// -0.128949
+0xb020
+// -0.433229
+0xb6ef
+// -1.677798
+0xbeb6
+// -1.193025
+0xbcc6
+// 0.854931
+0x3ad7
+// -0.099621
+0xae60
+// 2.091603
+0x402f
+// 0.629319
+0x3909
+// -0.512076
+0xb819
+// -1.936900
+0xbfbf
+// 1.724247
+0x3ee6
+// 0.156420
+0x3101
+// -0.651338
+0xb936
+// -0.633550
+0xb912
+// -2.303735
+0xc09c
+// 0.179141
+0x31bc
+// 0.685227
+0x397b
+// 0.387766
+0x3634
+// 1.371416
+0x3d7c
+// -1.918012
+0xbfac
+// 0.406116
+0x367f
+// -0.183715
+0xb1e1
+// 0.232746
+0x3373
+// -1.342283
+0xbd5e
+// 0.470318
+0x3786
+// -2.182310
+0xc05d
+// 0.741559
+0x39ef
+// -0.643764
+0xb926
+// 0.048399
+0x2a32
+// -0.540895
+0xb854
+// 1.106616
+0x3c6d
+// -0.323150
+0xb52c
+// 0.341424
+0x3576
+// -1.434152
+0xbdbd
+// -0.448837
+0xb72e
+// 1.274818
+0x3d19
+// -0.079564
+0xad18
+// -0.806076
+0xba73
+// -0.261651
+0xb430
+// 0.081918
+0x2d3e
+// 1.030944
+0x3c20
+// -0.141107
+0xb084
+// 0.909641
+0x3b47
+// -1.363575
+0xbd74
+// -0.373532
+0xb5fa
+// -0.199387
+0xb261
+// 0.026760
+0x26da
+// -0.840572
+0xbab9
+// -0.381145
+0xb619
+// -1.667549
+0xbeac
+// 1.216329
+0x3cde
+// -0.891745
+0xbb22
+// 0.197249
+0x3250
+// 0.914707
+0x3b51
+// 0.474276
+0x3797
+// -0.936337
+0xbb7e
+// 1.875325
+0x3f80
+// 0.309868
+0x34f5
+// -1.402561
+0xbd9c
+// -0.847870
+0xbac8
+// -0.613946
+0xb8e9
+// 1.454202
+0x3dd1
+// -0.934711
+0xbb7a
+// 1.348542
+0x3d65
+// 0.966193
+0x3bbb
+// 0.462141
+0x3765
+// 0.008913
+0x2090
+// -0.964340
+0xbbb7
+// 0.926279
+0x3b69
+// -1.422982
+0xbdb1
+// -0.266019
+0xb442
+// -0.841451
+0xbabb
+// 0.817545
+0x3a8a
+// -0.847594
+0xbac8
+// 0.675984
+0x3968
+// -0.976700
+0xbbd0
+// -1.046232
+0xbc2f
+// 0.299853
+0x34cc
+// 1.914445
+0x3fa8
+// -1.172457
+0xbcb1
+// -0.431608
+0xb6e8
+// -1.240815
+0xbcf7
+// -0.290280
+0xb4a5
+// 0.517154
+0x3823
+// 0.129529
+0x3025
+// 0.019651
+0x2508
+// 0.010109
+0x212d
+// -0.456176
+0xb74c
+// 0.072539
+0x2ca4
+// -1.058758
+0xbc3c
+// 0.565836
+0x3887
+// -0.906917
+0xbb41
+// 0.007338
+0x1f84
+// 0.280566
+0x347d
+// 0.894503
+0x3b28
+// 0.266863
+0x3445
+// 0.132966
+0x3041
+// 0.767206
+0x3a23
+// -0.686024
+0xb97d
+// -0.965636
+0xbbba
+// -1.063983
+0xbc42
+// -0.154416
+0xb0f1
+// 0.362044
+0x35cb
+// -1.199676
+0xbccc
+// 0.653584
+0x393b
+// -0.303124
+0xb4da
+// 0.327124
+0x353c
+// 0.090162
+0x2dc5
+// 0.255816
+0x3418
+// -0.248543
+0xb3f4
+// -0.599767
+0xb8cc
+// 0.877696
+0x3b06
+// 1.957729
+0x3fd5
+// -0.416063
+0xb6a8
+// 0.894641
+0x3b28
+// 0.893332
+0x3b26
+// 1.804270
+0x3f38
+// 0.571469
+0x3892
+// -0.538999
+0xb850
+// -0.711532
+0xb9b1
+// -0.302412
+0xb4d7
+// -0.964833
+0xbbb8
+// -0.598038
+0xb8c9
+// -0.654437
+0xb93c
+// 0.631505
+0x390d
+// 1.409936
+0x3da4
+// 0.213330
+0x32d4
+// -0.311454
+0xb4fc
+// 0.398628
+0x3661
+// -0.706000
+0xb9a6
+// -0.753669
+0xba08
+// 0.309298
+0x34f3
+// 1.492094
+0x3df8
+// 1.596098
+0x3e62
+// 0.490982
+0x37db
+// 1.596482
+0x3e63
+// 0.332411
+0x3552
+// -2.157640
+0xc051
+// -1.587679
+0xbe5a
+// 0.495530
+0x37ee
+// 0.960868
+0x3bb0
+// -0.591988
+0xb8bc
+// -1.045693
+0xbc2f
+// 0.843292
+0x3abf
+// -0.075070
+0xacce
+// -0.282838
+0xb487
+// 0.522908
+0x382f
+// -0.062621
+0xac02
+// -0.213422
+0xb2d4
+// -1.193460
+0xbcc6
+// 0.024896
+0x2660
+// -3.089132
+0xc22e
+// 0.458491
+0x3756
+// -1.698179
+0xbecb
+// 2.840010
+0x41ae
+// 0.578660
+0x38a1
+// 0.361009
+0x35c7
+// -1.742869
+0xbef9
+// -0.831256
+0xbaa6
+// -1.109137
+0xbc70
+// -0.596247
+0xb8c5
+// 1.208434
+0x3cd5
+// -1.935833
+0xbfbe
+// 2.217497
+0x406f
+// 1.160372
+0x3ca4
+// -0.081313
+0xad34
+// -2.419502
+0xc0d7
+// 0.272382
+0x345c
+// 0.889528
+0x3b1e
+// 0.397543
+0x365c
+// -1.700459
+0xbecd
+// 1.042543
+0x3c2c
+// 1.202107
+0x3ccf
+// -0.051818
+0xaaa2
+// -0.730582
+0xb9d8
+// 0.025250
+0x2677
+// -0.318532
+0xb519
+// -0.757038
+0xba0e
+// -0.484690
+0xb7c1
+// 0.658922
+0x3945
+// -0.684210
+0xb979
+// -1.351297
+0xbd68
+// -0.745298
+0xb9f6
+// 0.368193
+0x35e4
+// -1.528640
+0xbe1d
+// -0.673173
+0xb963
+// -0.014893
+0xa3a0
+// -0.417328
+0xb6ad
+// 1.101533
+0x3c68
+// -1.793305
+0xbf2c
+// -0.876005
+0xbb02
+// 0.710846
+0x39b0
+// -0.486367
+0xb7c8
+// 0.489545
+0x37d5
+// -0.753876
+0xba08
+// 0.684575
+0x397a
+// -0.569468
+0xb88e
+// 1.294840
+0x3d2e
+// -1.234943
+0xbcf1
+// -0.938473
+0xbb82
+// 1.262225
+0x3d0d
+// -1.040557
+0xbc2a
+// 2.077698
+0x4028
+// 1.582555
+0x3e55
+// 1.070929
+0x3c49
+// 1.747530
+0x3efd
+// -1.266449
+0xbd11
+// -0.117831
+0xaf8b
+// -1.120036
+0xbc7b
+// 0.115079
+0x2f5d
+// 0.097422
+0x2e3c
+// 0.054251
+0x2af2
+// 0.284460
+0x348d
+// -0.344650
+0xb584
+// -2.165535
+0xc055
+// 1.090171
+0x3c5c
+// -1.290367
+0xbd29
+// -0.291540
+0xb4aa
+// -0.262937
+0xb435
+// -0.269938
+0xb452
+// 1.745340
+0x3efb
+// -0.381207
+0xb619
+// 0.559560
+0x387a
+// 1.061609
+0x3c3f
+// -0.448525
+0xb72d
+// 0.600914
+0x38cf
+// -0.439293
+0xb707
+// 0.081809
+0x2d3c
+// 0.736261
+0x39e4
+// 1.237320
+0x3cf3
+// 0.314349
+0x3508
+// 0.002416
+0x18f3
+// 0.114545
+0x2f55
+// -0.890155
+0xbb1f
+// -1.599143
+0xbe66
+// -0.084827
+0xad6e
+// 0.452470
+0x373d
+// -0.363854
+0xb5d2
+// 0.494410
+0x37e9
+// 0.323634
+0x352e
+// 1.745487
+0x3efb
+// 2.692194
+0x4162
+// -2.172338
+0xc058
+// 0.676894
+0x396a
--- a/Testing/Patterns/DSP/Stats/StatsF16/InputAccumulateConfig1_s16.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF16/InputAccumulateConfig1_s16.txt
@ -0,0 +1,12 @@
+H
+5
+// 4
+0x0004
+// 7
+0x0007
+// 16
+0x0010
+// 23
+0x0017
+// 300
+0x012C
--- a/Testing/Patterns/DSP/Stats/StatsF16/RefAccumulate1_f16.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF16/RefAccumulate1_f16.txt
@ -0,0 +1,10 @@
+H
+4
+// 0.128093
+0x3019
+// -1.588172
+0xbe5a
+// 0.924829
+0x3b66
+// -10.314345
+0xc928
--- a/Testing/Patterns/DSP/Stats/StatsF32/InputAccumulate1_f32.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF32/InputAccumulate1_f32.txt
@ -0,0 +1,602 @@
+W
+300
+// -0.423443
+0xbed8cd77
+// -0.983498
+0xbf7bc681
+// -0.513058
+0xbf0357c8
+// -0.826724
+0xbf53a42a
+// -0.098833
+0xbdca68b8
+// -0.647028
+0xbf25a3a9
+// -0.586539
+0xbf162767
+// 1.582705
+0x3fca9615
+// 0.819569
+0x3f51cf4d
+// -0.685971
+0xbf2f9bc9
+// -0.157562
+0xbe2157e3
+// 0.880716
+0x3f6176a2
+// -0.579034
+0xbf143b8e
+// 0.623778
+0x3f1fafe8
+// -1.262239
+0xbfa19109
+// -0.625875
+0xbf203958
+// 0.684227
+0x3f2f297e
+// 0.370696
+0x3ebdcbd0
+// 0.698463
+0x3f32ce72
+// 2.012159
+0x4000c738
+// -0.067237
+0xbd89b395
+// 1.146582
+0x3f92c332
+// 0.075101
+0x3d99ce71
+// 0.410785
+0x3ed2525d
+// -1.697154
+0xbfd93c59
+// -0.590957
+0xbf1748f0
+// 0.337581
+0x3eacd776
+// -0.661201
+0xbf29447e
+// -0.091832
+0xbdbc1287
+// -0.822853
+0xbf52a67d
+// 0.083798
+0x3dab9e36
+// -1.254186
+0xbfa08928
+// 0.861168
+0x3f5c7582
+// -0.073341
+0xbd9633da
+// -1.121536
+0xbf8f8e7a
+// -0.897961
+0xbf65e0cb
+// -0.946319
+0xbf7241fa
+// -0.918747
+0xbf6b3305
+// 0.825834
+0x3f5369db
+// -0.306754
+0xbe9d0ed5
+// -0.070929
+0xbd9142fc
+// 0.931081
+0x3f6e5b51
+// -0.079323
+0xbda273ee
+// 0.144046
+0x3e1380c6
+// -0.201304
+0xbe4e22a6
+// 0.944336
+0x3f71bfff
+// 0.157191
+0x3e20f6cc
+// -1.196110
+0xbf991a21
+// -0.904330
+0xbf678223
+// 0.656791
+0x3f28237b
+// -2.277876
+0xc011c8b8
+// 0.322499
+0x3ea51ea6
+// -1.135596
+0xbf915b37
+// 0.332263
+0x3eaa1e55
+// -0.196604
+0xbe49527e
+// 0.370739
+0x3ebdd17a
+// -0.736538
+0xbf3c8db9
+// 0.430131
+0x3edc3a32
+// 1.991774
+0x3ffef274
+// 0.865658
+0x3f5d9bc7
+// 1.297061
+0x3fa60614
+// -0.353067
+0xbeb4c53f
+// -1.154915
+0xbf93d445
+// 0.013318
+0x3c5a3568
+// 0.604935
+0x3f1add0b
+// 0.650382
+0x3f267f6c
+// 0.057334
+0x3d6ad705
+// -1.391626
+0xbfb220cf
+// 1.436114
+0x3fb7d298
+// 0.162395
+0x3e264af3
+// 0.558801
+0x3f0f0d97
+// -0.079698
+0xbda33877
+// -0.055110
+0xbd61baa1
+// 0.179196
+0x3e377f3c
+// -1.057574
+0xbf875e94
+// -0.521445
+0xbf057d6a
+// 0.422838
+0x3ed87e44
+// 1.151230
+0x3f935b85
+// 1.216962
+0x3f9bc565
+// 0.950819
+0x3f7368de
+// -0.498350
+0xbeff27ab
+// -0.578754
+0xbf14293f
+// 0.702426
+0x3f33d238
+// 0.304651
+0x3e9bfb30
+// 0.995786
+0x3f7eebce
+// 0.030582
+0x3cfa8671
+// 0.102266
+0x3dd170f9
+// 0.356987
+0x3eb6c6f1
+// -0.337055
+0xbeac926e
+// -1.549700
+0xbfc65c93
+// 0.296486
+0x3e97cd07
+// 1.095437
+0x3f8c374b
+// 1.244417
+0x3f9f490b
+// 0.359604
+0x3eb81df3
+// -0.441891
+0xbee23f96
+// 0.384206
+0x3ec4b6b0
+// -0.471972
+0xbef1a647
+// 0.648020
+0x3f25e49f
+// 1.201917
+0x3f99d86f
+// -2.865849
+0xc0376a11
+// 1.176467
+0x3f969677
+// 0.640080
+0x3f23dc46
+// 0.422593
+0x3ed85e2a
+// 0.209291
+0x3e56507f
+// -0.336963
+0xbeac8679
+// 1.326757
+0x3fa9d32c
+// -1.032990
+0xbf843905
+// -0.904691
+0xbf6799d9
+// 0.065775
+0x3d86b4de
+// 1.856034
+0x3fed9288
+// -0.422515
+0xbed853ef
+// 1.135110
+0x3f914b4a
+// -2.076895
+0xc004ebd8
+// 0.866082
+0x3f5db793
+// -2.045051
+0xc002e21e
+// -0.504498
+0xbf0126c0
+// 1.459088
+0x3fbac363
+// 0.090395
+0x3db9211f
+// 1.077701
+0x3f89f21b
+// -0.025416
+0xbcd0344b
+// -0.468621
+0xbeefef19
+// -0.451325
+0xbee7140c
+// 0.669543
+0x3f2b6731
+// 0.278190
+0x3e8e6efa
+// -0.479717
+0xbef59d67
+// -0.793268
+0xbf4b13a4
+// 0.942438
+0x3f7143a5
+// -2.587449
+0xc02598c4
+// -0.026251
+0xbcd70b5e
+// -0.126607
+0xbe01a544
+// 0.658765
+0x3f28a4d5
+// -1.699255
+0xbfd9812d
+// -0.788664
+0xbf49e5dc
+// 0.275554
+0x3e8d155c
+// 0.935411
+0x3f6f771e
+// 0.787206
+0x3f498652
+// -0.049373
+0xbd4a3bbd
+// -0.746808
+0xbf3f2ecc
+// -1.299582
+0xbfa658b7
+// 0.043045
+0x3d305068
+// -0.729928
+0xbf3adc8c
+// 1.236238
+0x3f9e3d0a
+// -0.759593
+0xbf4274b8
+// -0.892822
+0xbf648ff8
+// 1.532354
+0x3fc42429
+// -0.597137
+0xbf18ddfb
+// -0.000702
+0xba37f55e
+// 1.655931
+0x3fd3f58a
+// 1.536543
+0x3fc4ad6e
+// 0.213734
+0x3e5adcf5
+// -0.208254
+0xbe5540a3
+// -2.398257
+0xc0197d0c
+// -1.241876
+0xbf9ef5ca
+// -1.542659
+0xbfc575db
+// -0.073463
+0xbd967388
+// 0.595362
+0x3f1869a2
+// -1.254223
+0xbfa08a65
+// -0.097561
+0xbdc7ce41
+// 0.611658
+0x3f1c95a4
+// 0.790725
+0x3f4a6cfc
+// 1.275721
+0x3fa34ad7
+// -0.377948
+0xbec18257
+// 0.654724
+0x3f279bf6
+// 0.077602
+0x3d9eedb8
+// -1.257696
+0xbfa0fc31
+// 0.110166
+0x3de19e78
+// -0.054233
+0xbd5e23df
+// -1.683268
+0xbfd77550
+// 0.941935
+0x3f7122a2
+// 2.554066
+0x402375d0
+// -1.619144
+0xbfcf401e
+// 1.462543
+0x3fbb3498
+// 0.811070
+0x3f4fa242
+// 1.927283
+0x3ff6b136
+// -0.022243
+0xbcb63794
+// 0.755502
+0x3f41688f
+// -0.554742
+0xbf0e0391
+// 0.795036
+0x3f4b8780
+// -1.578591
+0xbfca0f42
+// -1.086833
+0xbf8b1d5a
+// 0.343749
+0x3eafffed
+// 2.170838
+0x400aef02
+// 3.001650
+0x40401b09
+// 1.892707
+0x3ff24436
+// -0.056903
+0xbd69129e
+// -2.503841
+0xc0203ef0
+// 1.152213
+0x3f937bb3
+// -0.219470
+0xbe60bcba
+// -1.451331
+0xbfb9c536
+// 1.168464
+0x3f95903e
+// -0.342840
+0xbeaf88b9
+// 0.294751
+0x3e96e998
+// -0.353277
+0xbeb4e0ab
+// -0.698509
+0xbf32d17a
+// -1.092133
+0xbf8bcb07
+// 0.729987
+0x3f3ae06e
+// -0.523243
+0xbf05f347
+// 1.708302
+0x3fdaa9a3
+// -1.028413
+0xbf83a30c
+// 1.275090
+0x3fa33628
+// 0.067721
+0x3d8ab126
+// -0.451632
+0xbee73c51
+// 0.576707
+0x3f13a311
+// 1.627953
+0x3fd060c4
+// 0.639968
+0x3f23d4ed
+// 1.075825
+0x3f89b4a0
+// -0.495454
+0xbefdac35
+// 0.095114
+0x3dc2cae1
+// -1.313427
+0xbfa81e61
+// -1.200968
+0xbf99b954
+// 0.714616
+0x3f36f11b
+// -0.716077
+0xbf3750d2
+// 1.231550
+0x3f9da36e
+// 1.307033
+0x3fa74cde
+// 0.544918
+0x3f0b7fb9
+// -0.272018
+0xbe8b45f9
+// -0.202694
+0xbe4f8f1a
+// 0.902505
+0x3f670a8c
+// -2.392231
+0xc0191a52
+// -0.940717
+0xbf70d2db
+// -2.000130
+0xc0000221
+// -0.816307
+0xbf50f981
+// -0.888401
+0xbf636e3d
+// -0.209496
+0xbe568609
+// 2.026531
+0x4001b2ae
+// 1.216935
+0x3f9bc487
+// -0.112947
+0xbde750f7
+// 0.586520
+0x3f162632
+// 1.212788
+0x3f9b3ca6
+// 0.234782
+0x3e706ab8
+// 1.062053
+0x3f87f15c
+// -0.807098
+0xbf4e9dfd
+// -2.107924
+0xc006e83b
+// -0.991721
+0xbf7de174
+// 0.628760
+0x3f20f66d
+// 2.122896
+0x4007dd89
+// -0.952098
+0xbf73bcb3
+// 0.113922
+0x3de94fdf
+// 2.725400
+0x402e6cf4
+// 0.546763
+0x3f0bf8a4
+// -1.384506
+0xbfb13780
+// 0.119917
+0x3df596e2
+// -1.233861
+0xbf9def28
+// 0.935340
+0x3f6f7270
+// -1.505120
+0xbfc0a7c7
+// -0.377617
+0xbec15713
+// 0.799940
+0x3f4cc8e3
+// -0.319001
+0xbea3541d
+// 0.641903
+0x3f2453c3
+// 1.549009
+0x3fc645f1
+// -0.493078
+0xbefc74bc
+// -1.702947
+0xbfd9fa2c
+// 1.320023
+0x3fa8f682
+// 0.138493
+0x3e0dd103
+// 1.115283
+0x3f8ec199
+// -0.864410
+0xbf5d49f5
+// 1.279482
+0x3fa3c615
+// 0.390853
+0x3ec81dec
+// 0.781768
+0x3f4821f5
+// 0.370289
+0x3ebd9693
+// 0.669609
+0x3f2b6b79
+// 1.678452
+0x3fd6d781
+// 0.513118
+0x3f035baf
+// 0.649515
+0x3f2646a1
+// -0.990310
+0xbf7d84ed
+// -1.788502
+0xbfe4eda4
+// -0.071319
+0xbd920fb2
+// 0.096202
+0x3dc5057b
+// 0.369050
+0x3ebcf41d
+// -2.291920
+0xc012aed3
+// 0.868246
+0x3f5e4560
+// 1.527368
+0x3fc380cb
+// 0.905387
+0x3f67c76e
+// 2.014818
+0x4000f2c8
+// -1.645145
+0xbfd29420
+// 0.706149
+0x3f34c629
+// 0.437204
+0x3edfd928
+// -0.512773
+0xbf03450f
+// -1.036983
+0xbf84bbe0
+// 2.089183
+0x4005b52d
+// -0.464019
+0xbeed93de
+// -1.337332
+0xbfab2dae
+// -0.228851
+0xbe6a57f4
+// 1.735562
+0x3fde26e2
+// 0.085262
+0x3dae9df0
+// -0.496630
+0xbefe4640
+// -1.341138
+0xbfabaa6b
+// -0.550179
+0xbf0cd883
+// 2.034660
+0x400237e0
+// 0.052855
+0x3d587ef7
+// 1.781379
+0x3fe40438
+// -0.978739
+0xbf7a8ea1
+// -1.351531
+0xbfacfef7
+// -0.541003
+0xbf0a7f29
+// 0.995079
+0x3f7ebd85
+// 1.448289
+0x3fb96187
+// -0.123124
+0xbdfc2852
+// -0.350373
+0xbeb36423
+// 1.034495
+0x3f846a57
+// -0.678016
+0xbf2d926f
--- a/Testing/Patterns/DSP/Stats/StatsF32/InputAccumulateConfig1_s16.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF32/InputAccumulateConfig1_s16.txt
@ -0,0 +1,12 @@
+H
+5
+// 4
+0x0004
+// 3
+0x0003
+// 8
+0x0008
+// 11
+0x000B
+// 300
+0x012C
--- a/Testing/Patterns/DSP/Stats/StatsF32/RefAccumulate1_f32.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF32/RefAccumulate1_f32.txt
@ -0,0 +1,10 @@
+W
+4
+// -1.919998
+0xbff5c282
+// -2.496417
+0xc01fc54b
+// -2.520380
+0xc0214de8
+// 15.878417
+0x417e0dff
--- a/Testing/Patterns/DSP/Stats/StatsF64/InputAccumulate1_f64.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF64/InputAccumulate1_f64.txt
@ -0,0 +1,602 @@
+D
+300
+// 0.591762
+0x3fe2efb7d1952c8d
+// 1.346868
+0x3ff58cc52fa376f9
+// 0.285820
+0x3fd24ae0a79ad81d
+// -0.858870
+0xbfeb7bdc5313e4f5
+// 1.096028
+0x3ff1895447537f90
+// -0.843217
+0xbfeafba14924b30e
+// -0.731724
+0xbfe76a48c78d7fc7
+// 0.247799
+0x3fcfb7df3ca5404f
+// -0.416542
+0xbfdaa89eaa690f97
+// 0.672924
+0x3fe58896ea6679cb
+// 0.271024
+0x3fd15873d49cbdf1
+// -0.265199
+0xbfd0f90428764a13
+// 0.765841
+0x3fe881c4d1806d05
+// 0.525063
+0x3fe0cd50748bbf99
+// 0.533392
+0x3fe1118bfb02f4c5
+// -1.007398
+0xbff01e4ceae2cb9a
+// 1.190889
+0x3ff30de1aae279f6
+// 0.297438
+0x3fd3093a9dd1a7b9
+// 1.596330
+0x3ff98a9161f98815
+// -1.918050
+0xbffeb054cf9f179b
+// 0.412652
+0x3fda68e5571a268f
+// 0.389409
+0x3fd8ec136d8391ee
+// -0.298699
+0xbfd31de3ed58bcb1
+// 1.007653
+0x3ff01f5842a07169
+// 0.117794
+0x3fbe27c4e4786fa7
+// 1.275045
+0x3ff4669531ba3c67
+// 0.348807
+0x3fd652dca72a1b86
+// -0.518251
+0xbfe0958302b38d1b
+// -2.084621
+0xc000ad4d869f0723
+// 0.046931
+0x3fa80752c164372b
+// -1.098749
+0xbff1947a5764d065
+// 0.461066
+0x3fdd82196683d235
+// -0.461843
+0xbfdd8ed5fa69a819
+// -0.733344
+0xbfe7778e215d5544
+// 1.280933
+0x3ff47eb31cc99694
+// -0.450840
+0xbfdcda91b3c7ae64
+// -0.324242
+0xbfd4c061d7b87f9b
+// -0.082313
+0xbfb51275aec18b50
+// 0.678082
+0x3fe5b2d9bba4d029
+// 0.216665
+0x3fcbbbb04679ea9d
+// -0.072394
+0xbfb28867086bfdc9
+// -0.894777
+0xbfeca202a4146dab
+// -0.927379
+0xbfedad16ece95ce0
+// 1.745247
+0x3ffbec8895a540aa
+// 0.015979
+0x3f905cbbc9435051
+// 0.254808
+0x3fd04ec60bc5c8f5
+// -2.264820
+0xc0021e59c97d4af9
+// -1.889860
+0xbffe3cde380dc5a8
+// 0.173487
+0x3fc634d30cf0da25
+// -0.246073
+0xbfcf7f53632de4a7
+// 0.298900
+0x3fd3212db677d0b0
+// -0.638844
+0xbfe47167fb3a588d
+// -0.182363
+0xbfc757abe21ec3cf
+// 1.405280
+0x3ff67c075ca67e9b
+// -0.635200
+0xbfe4538fc90c2e53
+// -0.992023
+0xbfefbea76346d417
+// 1.156137
+0x3ff27f8942c4b376
+// 0.650516
+0x3fe4d107e36b7876
+// -0.990295
+0xbfefb07e408b3fe2
+// -0.065694
+0xbfb0d1545a7902e3
+// 1.374938
+0x3ff5ffbec44f8a8e
+// -0.593372
+0xbfe2fce7ce325a00
+// 0.063298
+0x3fb03446a5d4a244
+// -0.088991
+0xbfb6c8238f3846fc
+// 0.065581
+0x3fb0c9eb043953dd
+// -0.340817
+0xbfd5cff01b999ed0
+// -0.227255
+0xbfcd16ad8b411be5
+// -0.395505
+0xbfd94ff5167e7cf3
+// 0.229238
+0x3fcd57aedec76d75
+// -0.164329
+0xbfc508bbae786c48
+// 1.694348
+0x3ffb1c0cbdda1e8b
+// -2.223618
+0xc001c9f879e1591b
+// -0.387069
+0xbfd8c5bc46545a36
+// -0.163043
+0xbfc4de99d7206f3f
+// 2.427573
+0x40036bab9b54edc8
+// 1.052230
+0x3ff0d5ef5cc472ed
+// 1.123976
+0x3ff1fbcde93ea419
+// -0.974354
+0xbfef2de84eb1a34f
+// -1.351470
+0xbff59f9f0fe1ca22
+// 0.536450
+0x3fe12a99a633cf41
+// 1.265249
+0x3ff43e75ab0275f6
+// 0.553907
+0x3fe1b99b70a0fe95
+// 0.668717
+0x3fe566220b75f0aa
+// 0.321792
+0x3fd4983c25827563
+// -0.016920
+0xbf915358decf654f
+// 0.085172
+0x3fb5cdd5e666d2c1
+// -0.184192
+0xbfc793984a18c898
+// -0.513147
+0xbfe06bb26ca6d453
+// 0.927872
+0x3fedb11fed57d980
+// -1.548969
+0xbff8c89345880c33
+// -0.601981
+0xbfe3436dcddf818a
+// 0.476340
+0x3fde7c58d3f2dba7
+// -2.105879
+0xc000d8d6ead7eb9c
+// 0.954027
+0x3fee876428a958d0
+// -2.165969
+0xc00153e753b9f2b8
+// 1.012873
+0x3ff034ba4cb5ce83
+// -0.779203
+0xbfe8ef3a25531656
+// -0.961244
+0xbfeec281d5a4a837
+// -0.832993
+0xbfeaa7e0408c3ddf
+// 0.488423
+0x3fdf4254658a8452
+// -1.344825
+0xbff584673279b99c
+// 1.765342
+0x3ffc3ed7b9846a66
+// 1.478842
+0x3ff7a9561fee9d33
+// 1.686267
+0x3ffafaf31639a6cc
+// -0.944275
+0xbfee378033fac580
+// 0.210522
+0x3fcaf2649e0564a0
+// -0.732744
+0xbfe772a3839d33ce
+// -0.230683
+0xbfcd8701792aa3c1
+// 1.405108
+0x3ff67b525ca07125
+// -0.328691
+0xbfd50947e8c28776
+// -0.286968
+0xbfd25db1078c312d
+// -1.361024
+0xbff5c6c18bdcfcb4
+// 0.849591
+0x3feb2fd9ffb31d30
+// -2.088668
+0xc000b59787b09019
+// 1.387327
+0x3ff6327d91b18236
+// -0.392612
+0xbfd9208d7c046335
+// 0.409889
+0x3fda3b9e5fb8b537
+// 1.796759
+0x3ffcbf86e38b29cd
+// 0.978588
+0x3fef5098b7f8c16d
+// 0.703897
+0x3fe686531a2ce622
+// 0.549163
+0x3fe192bd6c6821aa
+// -0.173986
+0xbfc6452ea4d2f9c9
+// 0.692326
+0x3fe62788cee7f567
+// 0.484449
+0x3fdf0135bb21590f
+// -0.547055
+0xbfe18179cae92363
+// 0.084638
+0x3fb5aad32b95ee97
+// -0.343665
+0xbfd5fe9a2a971648
+// -0.797343
+0xbfe983d54a566c09
+// 0.624375
+0x3fe3fae1cee7f031
+// -0.650273
+0xbfe4cf0a513ae832
+// -1.151119
+0xbff26afbcc2e0973
+// -1.004242
+0xbff0116024bebcbb
+// -1.243463
+0xbff3e539ec4b45a7
+// 0.533702
+0x3fe1141626f60241
+// -0.200939
+0xbfc9b860db5658a9
+// -1.170179
+0xbff2b90d8db1cc34
+// 0.432628
+0x3fdbb02f1335163d
+// 0.177194
+0x3fc6ae49b83d69b4
+// 0.276979
+0x3fd1ba042cd2c5ab
+// -0.117636
+0xbfbe1d5ca466df85
+// 0.431909
+0x3fdba466b78b3ba1
+// 0.094699
+0x3fb83e39f7278c86
+// -0.887184
+0xbfec63cf07d0d81d
+// 0.571867
+0x3fe24cbb2086ad4e
+// -0.078704
+0xbfb425f5d145dc81
+// 0.561475
+0x3fe1f79b1ffea495
+// 0.247046
+0x3fcf9f32cfe78e19
+// -0.171075
+0xbfc5e5c9fb66a9eb
+// -1.027190
+0xbff06f5eefc08f0e
+// -0.595121
+0xbfe30b3bd5cf730d
+// 0.312975
+0x3fd407c8b382d0b6
+// 0.844432
+0x3feb059562dae6c5
+// 0.590219
+0x3fe2e313d04ba5d7
+// 0.455922
+0x3fdd2dd41b02ae4b
+// -2.021509
+0xc0002c0cdad6b404
+// 0.945978
+0x3fee457403e43c84
+// -0.392990
+0xbfd926be44354f13
+// 0.097190
+0x3fb8e175506842a9
+// 0.320984
+0x3fd48b01d277cc59
+// -1.163999
+0xbff29fbd331b6294
+// 1.256727
+0x3ff41b8de1521368
+// 1.885235
+0x3ffe29ec4b6a54a4
+// -0.391718
+0xbfd911e808aecf5d
+// 0.398626
+0x3fd98317ca833afd
+// -1.170556
+0xbff2ba98f808c200
+// 0.146972
+0x3fc2cffdd3959390
+// 0.872258
+0x3febe98a145e337e
+// 0.798093
+0x3fe989f9f22516c1
+// 0.216796
+0x3fcbbff90adaad56
+// 0.931629
+0x3fedcfe6fe77a2b8
+// 1.400970
+0x3ff66a6002245ac1
+// -0.646253
+0xbfe4ae1a4d47a906
+// 0.130761
+0x3fc0bcc4f0ecba47
+// 0.926996
+0x3feda9f2bb8c8c34
+// -1.332325
+0xbff55133ec1b8572
+// 0.161132
+0x3fc49ff8acce4eed
+// 0.267825
+0x3fd1240a892de412
+// -1.169964
+0xbff2b82c904cbd43
+// -0.131690
+0xbfc0db39191ac220
+// 0.355000
+0x3fd6b853f910772f
+// -1.455940
+0xbff74b87f7d98d9b
+// 0.215088
+0x3fcb8804494d37f6
+// -0.416629
+0xbfdaaa0cec2a8135
+// 2.552314
+0x40046b23c8a17de8
+// -0.148139
+0xbfc2f63bc35a7507
+// -0.061910
+0xbfafb2b16dfe37d9
+// 1.971133
+0x3fff89c2df1a846a
+// 0.609440
+0x3fe380887f2b6543
+// -0.392193
+0xbfd919b06bf047d8
+// -0.297496
+0xbfd30a2c3ed85252
+// -0.087342
+0xbfb65c1297115bd2
+// 0.042671
+0x3fa5d8ff043a09cd
+// 2.104092
+0x4000d52e35891659
+// -0.132587
+0xbfc0f89f6e9946f0
+// 0.101833
+0x3fba11bfe14c9682
+// 0.261865
+0x3fd0c263ab139698
+// -1.075224
+0xbff1341e500ee40a
+// -1.819020
+0xbffd1ab50748d311
+// 0.080063
+0x3fb47f03e185fa13
+// -0.897530
+0xbfecb891a05597ca
+// -1.764076
+0xbffc39a7b4b95aa2
+// -0.709456
+0xbfe6b3dc83b2082c
+// -0.206341
+0xbfca6964573aa25b
+// 0.324747
+0x3fd4c8a91a0b3f12
+// -1.004527
+0xbff0128afad3effb
+// 0.043461
+0x3fa6408593d42d9a
+// -0.603422
+0xbfe34f3c55d8e2da
+// -0.047375
+0xbfa84187f1186311
+// 2.766008
+0x400620c8c065a38f
+// -0.199130
+0xbfc97d18476e7744
+// 0.574960
+0x3fe2661191d785b2
+// -1.303529
+0xbff4db40efe6bf97
+// 1.252003
+0x3ff40834968ab78b
+// 1.023607
+0x3ff060b19dc3c282
+// 1.121515
+0x3ff1f1b9ccab7a75
+// -1.702770
+0xbffb3e8bf56d96f2
+// -0.200954
+0xbfc9b8d985d4003c
+// 0.577675
+0x3fe27c4fc9101891
+// -0.768667
+0xbfe898ec87727e36
+// -0.423557
+0xbfdb1b8ea150239c
+// 0.302140
+0x3fd35641fb892792
+// 0.969931
+0x3fef09ac0a53586a
+// 1.028069
+0x3ff072f8fcf9bd3d
+// 0.469475
+0x3fde0be289b41c3b
+// -0.894296
+0xbfec9e1224500603
+// 0.743941
+0x3fe7ce5e08ab9d57
+// -1.632494
+0xbffa1eb28419980d
+// 1.780551
+0x3ffc7d23565fbff9
+// 0.028156
+0x3f9cd4d19bef37cf
+// -1.573614
+0xbff92d859621181d
+// 0.975172
+0x3fef349b49ca6c50
+// 0.898281
+0x3fecbeb8152f43fc
+// 1.725924
+0x3ffb9d625d1b0a37
+// -1.194486
+0xbff31c9dcdcb52ef
+// 0.053978
+0x3faba310450eab90
+// -1.302649
+0xbff4d7a6facf6f75
+// 1.015055
+0x3ff03daa2dd45d3c
+// 1.892682
+0x3ffe486cb45ee7a0
+// -0.686480
+0xbfe5f7a54304e1dd
+// 0.720867
+0x3fe7115891447acf
+// -1.662034
+0xbffa97b0fc58dc51
+// 1.536524
+0x3ff89599cfbd660e
+// 0.704890
+0x3fe68e74e80bbaa4
+// -0.622870
+0xbfe3ee8c24f62401
+// 0.664386
+0x3fe542a56e50ab96
+// -1.661507
+0xbffa95883f403baa
+// 0.266999
+0x3fd11683a57ded77
+// 0.343106
+0x3fd5f57375150fd8
+// -1.434818
+0xbff6f503e6e4f4f2
+// -1.675793
+0xbffad00c81040ae1
+// 0.468676
+0x3fddfec7a87a50ae
+// 1.618443
+0x3ff9e52411b0f681
+// 0.616406
+0x3fe3b9998f95b044
+// -2.721910
+0xc005c678d62c7edb
+// -0.096007
+0xbfb893e9c1444db8
+// -1.213863
+0xbff36bfb9d05fb96
+// -1.557251
+0xbff8ea7fab4c3f3c
+// -1.790495
+0xbffca5ddbc750c16
+// -0.098268
+0xbfb92818d6781289
+// -0.084365
+0xbfb598f2c2793fb6
+// -0.940522
+0xbfee18c106b285db
+// 0.031567
+0x3fa0299739e1ce5c
+// -0.244852
+0xbfcf5752f9d8026f
+// 0.860829
+0x3feb8be86deab741
+// 1.451967
+0x3ff73b4182549bd6
+// -0.405878
+0xbfd9f9e6492d096f
+// -0.535251
+0xbfe120c5b5bd58e2
+// -0.429442
+0xbfdb7bf956ec5674
+// -1.235351
+0xbff3c3ff07210191
+// 0.480201
+0x3fdebb9b700f269a
+// -0.178620
+0xbfc6dd0666e06e00
+// -0.191338
+0xbfc87dbf5bf7e834
+// -0.408729
+0xbfda289f7d26381e
+// 0.173887
+0x3fc641f14c55ac6d
+// -1.843278
+0xbffd7e111e3526a1
+// -1.392580
+0xbff648017596c0dd
+// -0.001781
+0xbf5d2e60e63984f3
+// -0.593029
+0xbfe2fa18c624b212
+// -0.536947
+0xbfe12eabd33e9917
+// -0.096858
+0xbfb8cba8ebb7c89d
+// 1.737095
+0x3ffbcb23c8c0aae5
+// -0.288399
+0xbfd27520f9801ba6
+// 1.158473
+0x3ff2891b545f4637
+// -1.989434
+0xbfffd4b8f92b07b6
+// 0.106163
+0x3fbb2d82e267b9e8
+// -0.414173
+0xbfda81cff95e1b79
+// -1.839830
+0xbffd6ff1e81e5d17
+// -0.168047
+0xbfc58292fb2ea89d
+// -1.384072
+0xbff625286f809ee3
+// -1.502155
+0xbff808d3aedbf275
+// 1.598372
+0x3ff992eec3fa02dd
+// 0.226098
+0x3fccf0c5571bc41c
+// 0.286619
+0x3fd257f53fc85098
+// 1.939450
+0x3fff07fc7c5ea519
+// 1.372158
+0x3ff5f45b899fbb57
+// 0.636439
+0x3fe45db5868f6986
+// 0.357524
+0x3fd6e1ae16681e18
+// -0.056032
+0xbfacb03334974378
+// 0.898497
+0x3fecc07cf2a97e70
+// -0.874705
+0xbfebfd962bcb1ff0
--- a/Testing/Patterns/DSP/Stats/StatsF64/InputAccumulateConfig1_s16.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF64/InputAccumulateConfig1_s16.txt
@ -0,0 +1,12 @@
+H
+5
+// 4
+0x0004
+// 2
+0x0002
+// 4
+0x0004
+// 5
+0x0005
+// 300
+0x012C
--- a/Testing/Patterns/DSP/Stats/StatsF64/RefAccumulate1_f64.txt
+++ b/Testing/Patterns/DSP/Stats/StatsF64/RefAccumulate1_f64.txt
@ -0,0 +1,10 @@
+D
+4
+// 1.938630
+0x3fff04a1186e0d40
+// 1.365581
+0x3ff5d96b18cad0ce
+// 2.461608
+0x4003b15fb00f282f
+// -3.785585
+0xc00e48e0b70a2dcf
--- a/Testing/Source/Tests/StatsTestsF16.cpp
+++ b/Testing/Source/Tests/StatsTestsF16.cpp
@ -13,6 +13,7 @@ a double precision computation.

 */
 #define REL_ERROR (6.0e-3)
+#define REL_ERROR_ACCUMULATE (7.0e-3)

 #define REL_KULLBACK_ERROR (5.0e-3)
 #define ABS_KULLBACK_ERROR (5.0e-3)
@ -464,6 +465,25 @@ a double precision computation.

    }

+    void StatsTestsF16::test_accumulate_f16()
+    {
+      const float16_t *inp  = inputA.ptr();
+      const int16_t *dimsp  = dims.ptr();
+
+      float16_t *outp         = output.ptr();
+
+      for(int i=0;i < this->nbPatterns; i++)
+      {
+         arm_accumulate_f16(inp,dimsp[i+1],outp);
+         outp++;
+      }
+
+      ASSERT_SNR(ref,output,(float16_t)SNR_THRESHOLD);
+
+      ASSERT_REL_ERROR(ref,output,REL_ERROR_ACCUMULATE);
+
+    } 
+  
    void StatsTestsF16::setUp(Testing::testID_t id,std::vector<Testing::param_t>& paramsArgs,Client::PatternMgr *mgr)
    {
        (void)paramsArgs;
@ -1105,6 +1125,20 @@ a double precision computation.
               refOffset = 3;
            }
            break;
+
+            case StatsTestsF16::TEST_ACCUMULATE_F16_53:
+            {
+               inputA.reload(StatsTestsF16::INPUT_ACCUMULATE_F16_ID,mgr);
+               ref.reload(StatsTestsF16::REF_ACCUMULATE_F16_ID,mgr);
+               dims.reload(StatsTestsF16::INPUT_ACCUMULATE_CONFIG_S16_ID,mgr);
+               output.create(ref.nbSamples(),StatsTestsF16::OUT_F16_ID,mgr);
+
+               const int16_t *dimsp  = dims.ptr();
+               this->nbPatterns=dimsp[0];
+               
+
+            }
+            break;
        }
        
    }
--- a/Testing/Source/Tests/StatsTestsF32.cpp
+++ b/Testing/Source/Tests/StatsTestsF32.cpp
@ -459,6 +459,25 @@ a double precision computation.

    }

+    void StatsTestsF32::test_accumulate_f32()
+    {
+      const float32_t *inp  = inputA.ptr();
+      const int16_t *dimsp  = dims.ptr();
+
+      float32_t *outp         = output.ptr();
+
+      for(int i=0;i < this->nbPatterns; i++)
+      {
+         arm_accumulate_f32(inp,dimsp[i+1],outp);
+         outp++;
+      }
+
+      ASSERT_SNR(ref,output,(float32_t)SNR_THRESHOLD);
+
+      ASSERT_REL_ERROR(ref,output,REL_ERROR);
+
+    } 
+  

    void StatsTestsF32::setUp(Testing::testID_t id,std::vector<Testing::param_t>& paramsArgs,Client::PatternMgr *mgr)
    {
@ -1102,6 +1121,20 @@ a double precision computation.
            }
            break;

+            case StatsTestsF32::TEST_ACCUMULATE_F32_53:
+            {
+               inputA.reload(StatsTestsF32::INPUT_ACCUMULATE_F32_ID,mgr);
+               ref.reload(StatsTestsF32::REF_ACCUMULATE_F32_ID,mgr);
+               dims.reload(StatsTestsF32::INPUT_ACCUMULATE_CONFIG_S16_ID,mgr);
+               output.create(ref.nbSamples(),StatsTestsF32::OUT_F32_ID,mgr);
+
+               const int16_t *dimsp  = dims.ptr();
+               this->nbPatterns=dimsp[0];
+               
+
+            }
+            break;
+

        }
        
--- a/Testing/Source/Tests/StatsTestsF64.cpp
+++ b/Testing/Source/Tests/StatsTestsF64.cpp
@ -462,6 +462,25 @@ a double precision computation.

    }

+    void StatsTestsF64::test_accumulate_f64()
+    {
+      const float64_t *inp  = inputA.ptr();
+      const int16_t *dimsp  = dims.ptr();
+
+      float64_t *outp         = output.ptr();
+
+      for(int i=0;i < this->nbPatterns; i++)
+      {
+         arm_accumulate_f64(inp,dimsp[i+1],outp);
+         outp++;
+      }
+
+      ASSERT_SNR(ref,output,(float64_t)SNR_THRESHOLD);
+
+      ASSERT_REL_ERROR(ref,output,REL_ERROR);
+
+    } 
+
    void StatsTestsF64::setUp(Testing::testID_t id,std::vector<Testing::param_t>& paramsArgs,Client::PatternMgr *mgr)
    {
        (void)paramsArgs;
@ -1105,6 +1124,20 @@ a double precision computation.
            }
            break;

+            case StatsTestsF64::TEST_ACCUMULATE_F64_53:
+            {
+               inputA.reload(StatsTestsF64::INPUT_ACCUMULATE_F64_ID,mgr);
+               ref.reload(StatsTestsF64::REF_ACCUMULATE_F64_ID,mgr);
+               dims.reload(StatsTestsF64::INPUT_ACCUMULATE_CONFIG_S16_ID,mgr);
+               output.create(ref.nbSamples(),StatsTestsF64::OUT_F64_ID,mgr);
+
+               const int16_t *dimsp  = dims.ptr();
+               this->nbPatterns=dimsp[0];
+               
+
+            }
+            break;
+

        }
        
--- a/Testing/desc.txt
+++ b/Testing/desc.txt
@ -56,6 +56,10 @@ group Root {
              Pattern MSE_F64_ID : MSEVals28_f64.txt


+              Pattern INPUT_ACCUMULATE_F64_ID : InputAccumulate1_f64.txt
+              Pattern INPUT_ACCUMULATE_CONFIG_S16_ID : InputAccumulateConfig1_s16.txt
+              Pattern REF_ACCUMULATE_F64_ID : RefAccumulate1_f64.txt
+
              Output  OUT_F64_ID : Output
              Output  OUT_S16_ID : Index
              Output  TMP_F64_ID : Temp
@ -129,7 +133,7 @@ group Root {
                Test nb=2n   arm_mse_f64:test_mse_f64
                Test nb=2n+1 arm_mse_f64:test_mse_f64
                Test long    arm_mse_f64:test_mse_f64
-
+                Test combined arm_accumulate_f64:test_accumulate_f64

              }

@ -180,6 +184,9 @@ group Root {

              Pattern MSE_F32_ID : MSEVals28_f32.txt

+              Pattern INPUT_ACCUMULATE_F32_ID : InputAccumulate1_f32.txt
+              Pattern INPUT_ACCUMULATE_CONFIG_S16_ID : InputAccumulateConfig1_s16.txt
+              Pattern REF_ACCUMULATE_F32_ID : RefAccumulate1_f32.txt

              Output  OUT_F32_ID : Output
              Output  OUT_S16_ID : Index
@ -254,7 +261,7 @@ group Root {
                Test nb=4n   arm_mse_f32:test_mse_f32
                Test nb=4n+1 arm_mse_f32:test_mse_f32
                Test long    arm_mse_f32:test_mse_f32
-
+                Test combined arm_accumulate_f32:test_accumulate_f32

              }

--- a/Testing/desc_f16.txt
+++ b/Testing/desc_f16.txt
@ -54,6 +54,10 @@ group Root {

              Pattern MSE_F16_ID : MSEVals28_f16.txt

+              Pattern INPUT_ACCUMULATE_F16_ID : InputAccumulate1_f16.txt
+              Pattern INPUT_ACCUMULATE_CONFIG_S16_ID : InputAccumulateConfig1_s16.txt
+              Pattern REF_ACCUMULATE_F16_ID : RefAccumulate1_f16.txt
+
              Output  OUT_F16_ID : Output
              Output  OUT_S16_ID : Index
              Output  TMP_F16_ID : Temp
@ -127,6 +131,7 @@ group Root {
                Test nb=8n   arm_mse_f16:test_mse_f16
                Test nb=8n+1 arm_mse_f16:test_mse_f16
                Test long    arm_mse_f16:test_mse_f16
+                Test combined arm_accumulate_f16:test_accumulate_f16
              }
           }
        }