add l476 implementationl476

1 files changed, 166 insertions, 198 deletions

diff --git a/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c
index dd6d817..3373f82 100644
--- a/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c
+++ b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c
@@ -1,198 +1,166 @@
-/* ----------------------------------------------------------------------
- * Project:      CMSIS DSP Library
- * Title:        arm_mean_f32.c
- * Description:  Mean value of a floating-point vector
- *
- * $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.h"
-
-/**
-  @ingroup groupStats
- */
-
-
-/**
-  @addtogroup mean
-  @{
- */
-
-/**
-  @brief         Mean 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    mean value returned here.
-  @return        none
- */
-#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
-
-#include "arm_helium_utils.h"
-
-void arm_mean_f32(
-  const float32_t * pSrc,
-  uint32_t blockSize,
-  float32_t * pResult)
-{
-    uint32_t  blkCnt;           /* loop counters */
-    f32x4_t vecSrc;
-    f32x4_t sumVec = vdupq_n_f32(0.0f);
-    float32_t sum = 0.0f; 
-
-    /* Compute 4 outputs at a time */
-    blkCnt = blockSize >> 2U;
-    while (blkCnt > 0U)
-    {
-        vecSrc = vldrwq_f32(pSrc);
-        sumVec = vaddq_f32(sumVec, vecSrc);
-
-        blkCnt --;
-        pSrc += 4;
-    }
-
-    sum = vecAddAcrossF32Mve(sumVec);
-
-    /* Tail */
-    blkCnt = blockSize & 0x3;
-
-    while (blkCnt > 0U)
-    {
-      /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
-      sum += *pSrc++;
-  
-      /* Decrement loop counter */
-      blkCnt--;
-    }
-
-    *pResult = sum / (float32_t) blockSize;
-}
-
-
-#else
-#if defined(ARM_MATH_NEON_EXPERIMENTAL) && !defined(ARM_MATH_AUTOVECTORIZE)
-void arm_mean_f32(
-  const float32_t * pSrc,
-  uint32_t blockSize,
-  float32_t * pResult)
-{
-  float32_t sum = 0.0f;                          /* Temporary result storage */
-  float32x4_t sumV = vdupq_n_f32(0.0f);                          /* Temporary result storage */
-  float32x2_t sumV2;
-
-  uint32_t blkCnt;                               /* Loop counter */
-
-  float32x4_t inV;
-
-  blkCnt = blockSize >> 2U;
-
-  /* Compute 4 outputs at a time.
-   ** a second loop below computes the remaining 1 to 3 samples. */
-  while (blkCnt > 0U)
-  {
-    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
-    inV = vld1q_f32(pSrc);
-    sumV = vaddq_f32(sumV, inV);
-    
-    pSrc += 4;
-    /* Decrement the loop counter */
-    blkCnt--;
-  }
-
-  sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV));
-  sum = vget_lane_f32(sumV2, 0) + vget_lane_f32(sumV2, 1);
-
-  /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
-   ** No loop unrolling is used. */
-  blkCnt = blockSize & 3;
-
-  while (blkCnt > 0U)
-  {
-    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
-    sum += *pSrc++;
-
-    /* Decrement the loop counter */
-    blkCnt--;
-  }
-
-  /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize  */
-  /* Store the result to the destination */
-  *pResult = sum / (float32_t) blockSize;
-}
-#else
-void arm_mean_f32(
-  const float32_t * pSrc,
-        uint32_t blockSize,
-        float32_t * pResult)
-{
-        uint32_t blkCnt;                               /* Loop counter */
-        float32_t sum = 0.0f;                          /* Temporary result storage */
-
-#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE)
-
-  /* Loop unrolling: Compute 4 outputs at a time */
-  blkCnt = blockSize >> 2U;
-
-  while (blkCnt > 0U)
-  {
-    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
-    sum += *pSrc++;
-
-    sum += *pSrc++;
-
-    sum += *pSrc++;
-
-    sum += *pSrc++;
-
-    /* Decrement the loop counter */
-    blkCnt--;
-  }
-
-  /* Loop unrolling: Compute remaining outputs */
-  blkCnt = blockSize % 0x4U;
-
-#else
-
-  /* Initialize blkCnt with number of samples */
-  blkCnt = blockSize;
-
-#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
-
-  while (blkCnt > 0U)
-  {
-    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
-    sum += *pSrc++;
-
-    /* Decrement loop counter */
-    blkCnt--;
-  }
-
-  /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize  */
-  /* Store result to destination */
-  *pResult = (sum / blockSize);
-}
-#endif /* #if defined(ARM_MATH_NEON) */
-#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
-
-/**
-  @} end of mean group
- */
+/* ----------------------------------------------------------------------

+ * Project:      CMSIS DSP Library

+ * Title:        arm_mean_f32.c

+ * Description:  Mean value of a floating-point vector

+ *

+ * $Date:        18. March 2019

+ * $Revision:    V1.6.0

+ *

+ * Target Processor: Cortex-M cores

+ * -------------------------------------------------------------------- */

+/*

+ * Copyright (C) 2010-2019 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 "arm_math.h"

+

+/**

+  @ingroup groupStats

+ */

+

+/**

+  @defgroup mean Mean

+

+  Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector.

+  The underlying algorithm is used:

+

+  <pre>

+      Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize;

+  </pre>

+

+  There are separate functions for floating-point, Q31, Q15, and Q7 data types.

+ */

+

+/**

+  @addtogroup mean

+  @{

+ */

+

+/**

+  @brief         Mean 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    mean value returned here.

+  @return        none

+ */

+#if defined(ARM_MATH_NEON_EXPERIMENTAL)

+void arm_mean_f32(

+  const float32_t * pSrc,

+  uint32_t blockSize,

+  float32_t * pResult)

+{

+  float32_t sum = 0.0f;                          /* Temporary result storage */

+  float32x4_t sumV = vdupq_n_f32(0.0f);                          /* Temporary result storage */

+  float32x2_t sumV2;

+

+  uint32_t blkCnt;                               /* Loop counter */

+

+  float32_t in1, in2, in3, in4;

+  float32x4_t inV;

+

+  blkCnt = blockSize >> 2U;

+

+  /* Compute 4 outputs at a time.

+   ** a second loop below computes the remaining 1 to 3 samples. */

+  while (blkCnt > 0U)

+  {

+    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */

+    inV = vld1q_f32(pSrc);

+    sumV = vaddq_f32(sumV, inV);

+    

+    pSrc += 4;

+    /* Decrement the loop counter */

+    blkCnt--;

+  }

+

+  sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV));

+  sum = sumV2[0] + sumV2[1];

+

+  /* If the blockSize is not a multiple of 4, compute any remaining output samples here.

+   ** No loop unrolling is used. */

+  blkCnt = blockSize & 3;

+

+  while (blkCnt > 0U)

+  {

+    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */

+    sum += *pSrc++;

+

+    /* Decrement the loop counter */

+    blkCnt--;

+  }

+

+  /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize  */

+  /* Store the result to the destination */

+  *pResult = sum / (float32_t) blockSize;

+}

+#else

+void arm_mean_f32(

+  const float32_t * pSrc,

+        uint32_t blockSize,

+        float32_t * pResult)

+{

+        uint32_t blkCnt;                               /* Loop counter */

+        float32_t sum = 0.0f;                          /* Temporary result storage */

+

+#if defined (ARM_MATH_LOOPUNROLL)

+

+  /* Loop unrolling: Compute 4 outputs at a time */

+  blkCnt = blockSize >> 2U;

+

+  while (blkCnt > 0U)

+  {

+    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */

+    sum += *pSrc++;

+

+    sum += *pSrc++;

+

+    sum += *pSrc++;

+

+    sum += *pSrc++;

+

+    /* Decrement the loop counter */

+    blkCnt--;

+  }

+

+  /* Loop unrolling: Compute remaining outputs */

+  blkCnt = blockSize % 0x4U;

+

+#else

+

+  /* Initialize blkCnt with number of samples */

+  blkCnt = blockSize;

+

+#endif /* #if defined (ARM_MATH_LOOPUNROLL) */

+

+  while (blkCnt > 0U)

+  {

+    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */

+    sum += *pSrc++;

+

+    /* Decrement loop counter */

+    blkCnt--;

+  }

+

+  /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize  */

+  /* Store result to destination */

+  *pResult = (sum / blockSize);

+}

+#endif /* #if defined(ARM_MATH_NEON) */

+

+/**

+  @} end of mean group

+ */