aom_dsp/x86/sum_squares_avx2.c - aom - Git at Google

 /*
  * Copyright (c) 2018, Alliance for Open Media. All rights reserved
  *
  * This source code is subject to the terms of the BSD 2 Clause License and
  * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
  * was not distributed with this source code in the LICENSE file, you can
  * obtain it at www.aomedia.org/license/software. If the Alliance for Open
  * Media Patent License 1.0 was not distributed with this source code in the
  * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
  */

 #include <immintrin.h>
 #include <smmintrin.h>

 #include "aom_dsp/x86/synonyms.h"
 #include "aom_dsp/x86/synonyms_avx2.h"
 #include "aom_dsp/x86/sum_squares_sse2.h"
 #include "config/aom_dsp_rtcd.h"

 static uint64_t aom_sum_squares_2d_i16_nxn_avx2(const int16_t *src, int stride,
                                                 int width, int height) {
   uint64_t result;
   __m256i v_acc_q = _mm256_setzero_si256();
   const __m256i v_zext_mask_q = yy_set1_64_from_32i(~0);
   for (int col = 0; col < height; col += 4) {
     __m256i v_acc_d = _mm256_setzero_si256();
     for (int row = 0; row < width; row += 16) {
       const int16_t *tempsrc = src + row;
       const __m256i v_val_0_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 0 * stride));
       const __m256i v_val_1_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 1 * stride));
       const __m256i v_val_2_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 2 * stride));
       const __m256i v_val_3_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 3 * stride));

       const __m256i v_sq_0_d = _mm256_madd_epi16(v_val_0_w, v_val_0_w);
       const __m256i v_sq_1_d = _mm256_madd_epi16(v_val_1_w, v_val_1_w);
       const __m256i v_sq_2_d = _mm256_madd_epi16(v_val_2_w, v_val_2_w);
       const __m256i v_sq_3_d = _mm256_madd_epi16(v_val_3_w, v_val_3_w);

       const __m256i v_sum_01_d = _mm256_add_epi32(v_sq_0_d, v_sq_1_d);
       const __m256i v_sum_23_d = _mm256_add_epi32(v_sq_2_d, v_sq_3_d);
       const __m256i v_sum_0123_d = _mm256_add_epi32(v_sum_01_d, v_sum_23_d);

       v_acc_d = _mm256_add_epi32(v_acc_d, v_sum_0123_d);
     }
     v_acc_q =
         _mm256_add_epi64(v_acc_q, _mm256_and_si256(v_acc_d, v_zext_mask_q));
     v_acc_q = _mm256_add_epi64(v_acc_q, _mm256_srli_epi64(v_acc_d, 32));
     src += 4 * stride;
   }
   __m128i lower_64_2_Value = _mm256_castsi256_si128(v_acc_q);
   __m128i higher_64_2_Value = _mm256_extracti128_si256(v_acc_q, 1);
   __m128i result_64_2_int = _mm_add_epi64(lower_64_2_Value, higher_64_2_Value);

   result_64_2_int = _mm_add_epi64(
       result_64_2_int, _mm_unpackhi_epi64(result_64_2_int, result_64_2_int));

   xx_storel_64(&result, result_64_2_int);

   return result;
 }

 uint64_t aom_sum_squares_2d_i16_avx2(const int16_t *src, int stride, int width,
                                      int height) {
   if (LIKELY(width == 4 && height == 4)) {
     return aom_sum_squares_2d_i16_4x4_sse2(src, stride);
   } else if (LIKELY(width == 4 && (height & 3) == 0)) {
     return aom_sum_squares_2d_i16_4xn_sse2(src, stride, height);
   } else if (LIKELY(width == 8 && (height & 3) == 0)) {
     return aom_sum_squares_2d_i16_nxn_sse2(src, stride, width, height);
   } else if (LIKELY(((width & 15) == 0) && ((height & 3) == 0))) {
     return aom_sum_squares_2d_i16_nxn_avx2(src, stride, width, height);
   } else {
     return aom_sum_squares_2d_i16_c(src, stride, width, height);
   }
 }

 static uint64_t aom_sum_sse_2d_i16_nxn_avx2(const int16_t *src, int stride,
                                             int width, int height, int *sum) {
   uint64_t result;
   const __m256i zero_reg = _mm256_setzero_si256();
   const __m256i one_reg = _mm256_set1_epi16(1);

   __m256i v_sse_total = zero_reg;
   __m256i v_sum_total = zero_reg;

   for (int col = 0; col < height; col += 4) {
     __m256i v_sse_row = zero_reg;
     for (int row = 0; row < width; row += 16) {
       const int16_t *tempsrc = src + row;
       const __m256i v_val_0_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 0 * stride));
       const __m256i v_val_1_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 1 * stride));
       const __m256i v_val_2_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 2 * stride));
       const __m256i v_val_3_w =
           _mm256_loadu_si256((const __m256i *)(tempsrc + 3 * stride));

       const __m256i v_sum_01 = _mm256_add_epi16(v_val_0_w, v_val_1_w);
       const __m256i v_sum_23 = _mm256_add_epi16(v_val_2_w, v_val_3_w);
       __m256i v_sum_0123 = _mm256_add_epi16(v_sum_01, v_sum_23);
       v_sum_0123 = _mm256_madd_epi16(v_sum_0123, one_reg);
       v_sum_total = _mm256_add_epi32(v_sum_total, v_sum_0123);

       const __m256i v_sq_0_d = _mm256_madd_epi16(v_val_0_w, v_val_0_w);
       const __m256i v_sq_1_d = _mm256_madd_epi16(v_val_1_w, v_val_1_w);
       const __m256i v_sq_2_d = _mm256_madd_epi16(v_val_2_w, v_val_2_w);
       const __m256i v_sq_3_d = _mm256_madd_epi16(v_val_3_w, v_val_3_w);
       const __m256i v_sq_01_d = _mm256_add_epi32(v_sq_0_d, v_sq_1_d);
       const __m256i v_sq_23_d = _mm256_add_epi32(v_sq_2_d, v_sq_3_d);
       const __m256i v_sq_0123_d = _mm256_add_epi32(v_sq_01_d, v_sq_23_d);
       v_sse_row = _mm256_add_epi32(v_sse_row, v_sq_0123_d);
     }
     const __m256i v_sse_row_low = _mm256_unpacklo_epi32(v_sse_row, zero_reg);
     const __m256i v_sse_row_hi = _mm256_unpackhi_epi32(v_sse_row, zero_reg);
     v_sse_row = _mm256_add_epi64(v_sse_row_low, v_sse_row_hi);
     v_sse_total = _mm256_add_epi64(v_sse_total, v_sse_row);
     src += 4 * stride;
   }

   const __m128i v_sum_total_low = _mm256_castsi256_si128(v_sum_total);
   const __m128i v_sum_total_hi = _mm256_extracti128_si256(v_sum_total, 1);
   __m128i sum_128bit = _mm_add_epi32(v_sum_total_hi, v_sum_total_low);
   sum_128bit = _mm_add_epi32(sum_128bit, _mm_srli_si128(sum_128bit, 8));
   sum_128bit = _mm_add_epi32(sum_128bit, _mm_srli_si128(sum_128bit, 4));
   *sum += _mm_cvtsi128_si32(sum_128bit);

   __m128i v_sse_total_lo = _mm256_castsi256_si128(v_sse_total);
   __m128i v_sse_total_hi = _mm256_extracti128_si256(v_sse_total, 1);
   __m128i sse_128bit = _mm_add_epi64(v_sse_total_lo, v_sse_total_hi);

   sse_128bit =
       _mm_add_epi64(sse_128bit, _mm_unpackhi_epi64(sse_128bit, sse_128bit));

   xx_storel_64(&result, sse_128bit);

   return result;
 }

 uint64_t aom_sum_sse_2d_i16_avx2(const int16_t *src, int src_stride, int width,
                                  int height, int *sum) {
   if (LIKELY(width == 4 && height == 4)) {
     return aom_sum_sse_2d_i16_4x4_sse2(src, src_stride, sum);
   } else if (LIKELY(width == 4 && (height & 3) == 0)) {
     return aom_sum_sse_2d_i16_4xn_sse2(src, src_stride, height, sum);
   } else if (LIKELY(width == 8 && (height & 3) == 0)) {
     return aom_sum_sse_2d_i16_nxn_sse2(src, src_stride, width, height, sum);
   } else if (LIKELY(((width & 15) == 0) && ((height & 3) == 0))) {
     return aom_sum_sse_2d_i16_nxn_avx2(src, src_stride, width, height, sum);
   } else {
     return aom_sum_sse_2d_i16_c(src, src_stride, width, height, sum);
   }
 }

 // Accumulate sum of 16-bit elements in the vector
 static AOM_INLINE int32_t mm256_accumulate_epi16(__m256i vec_a) {
   __m128i vtmp1 = _mm256_extracti128_si256(vec_a, 1);
   __m128i vtmp2 = _mm256_castsi256_si128(vec_a);
   vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
   vtmp2 = _mm_srli_si128(vtmp1, 8);
   vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
   vtmp2 = _mm_srli_si128(vtmp1, 4);
   vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
   vtmp2 = _mm_srli_si128(vtmp1, 2);
   vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
   return _mm_extract_epi16(vtmp1, 0);
 }

 // Accumulate sum of 32-bit elements in the vector
 static AOM_INLINE int32_t mm256_accumulate_epi32(__m256i vec_a) {
   __m128i vtmp1 = _mm256_extracti128_si256(vec_a, 1);
   __m128i vtmp2 = _mm256_castsi256_si128(vec_a);
   vtmp1 = _mm_add_epi32(vtmp1, vtmp2);
   vtmp2 = _mm_srli_si128(vtmp1, 8);
   vtmp1 = _mm_add_epi32(vtmp1, vtmp2);
   vtmp2 = _mm_srli_si128(vtmp1, 4);
   vtmp1 = _mm_add_epi32(vtmp1, vtmp2);
   return _mm_cvtsi128_si32(vtmp1);
 }

 uint64_t aom_var_2d_u8_avx2(uint8_t *src, int src_stride, int width,
                             int height) {
   uint8_t *srcp;
   uint64_t s = 0, ss = 0;
   __m256i vzero = _mm256_setzero_si256();
   __m256i v_acc_sum = vzero;
   __m256i v_acc_sqs = vzero;
   int i, j;

   // Process 32 elements in a row
   for (i = 0; i < width - 31; i += 32) {
     srcp = src + i;
     // Process 8 columns at a time
     for (j = 0; j < height - 7; j += 8) {
       __m256i vsrc[8];
       for (int k = 0; k < 8; k++) {
         vsrc[k] = _mm256_loadu_si256((__m256i *)srcp);
         srcp += src_stride;
       }
       for (int k = 0; k < 8; k++) {
         __m256i vsrc0 = _mm256_unpacklo_epi8(vsrc[k], vzero);
         __m256i vsrc1 = _mm256_unpackhi_epi8(vsrc[k], vzero);
         v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc0);
         v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc1);

         __m256i vsqs0 = _mm256_madd_epi16(vsrc0, vsrc0);
         __m256i vsqs1 = _mm256_madd_epi16(vsrc1, vsrc1);
         v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
         v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs1);
       }

       // Update total sum and clear the vectors
       s += mm256_accumulate_epi16(v_acc_sum);
       ss += mm256_accumulate_epi32(v_acc_sqs);
       v_acc_sum = vzero;
       v_acc_sqs = vzero;
     }

     // Process remaining rows (height not a multiple of 8)
     for (; j < height; j++) {
       __m256i vsrc = _mm256_loadu_si256((__m256i *)srcp);
       __m256i vsrc0 = _mm256_unpacklo_epi8(vsrc, vzero);
       __m256i vsrc1 = _mm256_unpackhi_epi8(vsrc, vzero);
       v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc0);
       v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc1);

       __m256i vsqs0 = _mm256_madd_epi16(vsrc0, vsrc0);
       __m256i vsqs1 = _mm256_madd_epi16(vsrc1, vsrc1);
       v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
       v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs1);

       srcp += src_stride;
     }

     // Update total sum and clear the vectors
     s += mm256_accumulate_epi16(v_acc_sum);
     ss += mm256_accumulate_epi32(v_acc_sqs);
     v_acc_sum = vzero;
     v_acc_sqs = vzero;
   }

   // Process the remaining area using C
   srcp = src;
   for (int k = 0; k < height; k++) {
     for (int m = i; m < width; m++) {
       uint8_t val = srcp[m];
       s += val;
       ss += val * val;
     }
     srcp += src_stride;
   }
   return (ss - s * s / (width * height));
 }

 uint64_t aom_var_2d_u16_avx2(uint8_t *src, int src_stride, int width,
                              int height) {
   uint16_t *srcp1 = CONVERT_TO_SHORTPTR(src), *srcp;
   uint64_t s = 0, ss = 0;
   __m256i vzero = _mm256_setzero_si256();
   __m256i v_acc_sum = vzero;
   __m256i v_acc_sqs = vzero;
   int i, j;

   // Process 16 elements in a row
   for (i = 0; i < width - 15; i += 16) {
     srcp = srcp1 + i;
     // Process 8 columns at a time
     for (j = 0; j < height - 8; j += 8) {
       __m256i vsrc[8];
       for (int k = 0; k < 8; k++) {
         vsrc[k] = _mm256_loadu_si256((__m256i *)srcp);
         srcp += src_stride;
       }
       for (int k = 0; k < 8; k++) {
         __m256i vsrc0 = _mm256_unpacklo_epi16(vsrc[k], vzero);
         __m256i vsrc1 = _mm256_unpackhi_epi16(vsrc[k], vzero);
         v_acc_sum = _mm256_add_epi32(vsrc0, v_acc_sum);
         v_acc_sum = _mm256_add_epi32(vsrc1, v_acc_sum);

         __m256i vsqs0 = _mm256_madd_epi16(vsrc[k], vsrc[k]);
         v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
       }

       // Update total sum and clear the vectors
       s += mm256_accumulate_epi32(v_acc_sum);
       ss += mm256_accumulate_epi32(v_acc_sqs);
       v_acc_sum = vzero;
       v_acc_sqs = vzero;
     }

     // Process remaining rows (height not a multiple of 8)
     for (; j < height; j++) {
       __m256i vsrc = _mm256_loadu_si256((__m256i *)srcp);
       __m256i vsrc0 = _mm256_unpacklo_epi16(vsrc, vzero);
       __m256i vsrc1 = _mm256_unpackhi_epi16(vsrc, vzero);
       v_acc_sum = _mm256_add_epi32(vsrc0, v_acc_sum);
       v_acc_sum = _mm256_add_epi32(vsrc1, v_acc_sum);

       __m256i vsqs0 = _mm256_madd_epi16(vsrc, vsrc);
       v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
       srcp += src_stride;
     }

     // Update total sum and clear the vectors
     s += mm256_accumulate_epi32(v_acc_sum);
     ss += mm256_accumulate_epi32(v_acc_sqs);
     v_acc_sum = vzero;
     v_acc_sqs = vzero;
   }

   // Process the remaining area using C
   srcp = srcp1;
   for (int k = 0; k < height; k++) {
     for (int m = i; m < width; m++) {
       uint16_t val = srcp[m];
       s += val;
       ss += val * val;
     }
     srcp += src_stride;
   }
   return (ss - s * s / (width * height));
 }
	/*
	* Copyright (c) 2018, Alliance for Open Media. All rights reserved
	*
	* This source code is subject to the terms of the BSD 2 Clause License and
	* the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
	* was not distributed with this source code in the LICENSE file, you can
	* obtain it at www.aomedia.org/license/software. If the Alliance for Open
	* Media Patent License 1.0 was not distributed with this source code in the
	* PATENTS file, you can obtain it at www.aomedia.org/license/patent.
	*/

	#include <immintrin.h>
	#include <smmintrin.h>

	#include "aom_dsp/x86/synonyms.h"
	#include "aom_dsp/x86/synonyms_avx2.h"
	#include "aom_dsp/x86/sum_squares_sse2.h"
	#include "config/aom_dsp_rtcd.h"

	static uint64_t aom_sum_squares_2d_i16_nxn_avx2(const int16_t *src, int stride,
	int width, int height) {
	uint64_t result;
	__m256i v_acc_q = _mm256_setzero_si256();
	const __m256i v_zext_mask_q = yy_set1_64_from_32i(~0);
	for (int col = 0; col < height; col += 4) {
	__m256i v_acc_d = _mm256_setzero_si256();
	for (int row = 0; row < width; row += 16) {
	const int16_t *tempsrc = src + row;
	const __m256i v_val_0_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 0 stride));
	const __m256i v_val_1_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 1 stride));
	const __m256i v_val_2_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 2 stride));
	const __m256i v_val_3_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 3 stride));

	const __m256i v_sq_0_d = _mm256_madd_epi16(v_val_0_w, v_val_0_w);
	const __m256i v_sq_1_d = _mm256_madd_epi16(v_val_1_w, v_val_1_w);
	const __m256i v_sq_2_d = _mm256_madd_epi16(v_val_2_w, v_val_2_w);
	const __m256i v_sq_3_d = _mm256_madd_epi16(v_val_3_w, v_val_3_w);

	const __m256i v_sum_01_d = _mm256_add_epi32(v_sq_0_d, v_sq_1_d);
	const __m256i v_sum_23_d = _mm256_add_epi32(v_sq_2_d, v_sq_3_d);
	const __m256i v_sum_0123_d = _mm256_add_epi32(v_sum_01_d, v_sum_23_d);

	v_acc_d = _mm256_add_epi32(v_acc_d, v_sum_0123_d);
	}
	v_acc_q =
	_mm256_add_epi64(v_acc_q, _mm256_and_si256(v_acc_d, v_zext_mask_q));
	v_acc_q = _mm256_add_epi64(v_acc_q, _mm256_srli_epi64(v_acc_d, 32));
	src += 4 * stride;
	}
	__m128i lower_64_2_Value = _mm256_castsi256_si128(v_acc_q);
	__m128i higher_64_2_Value = _mm256_extracti128_si256(v_acc_q, 1);
	__m128i result_64_2_int = _mm_add_epi64(lower_64_2_Value, higher_64_2_Value);

	result_64_2_int = _mm_add_epi64(
	result_64_2_int, _mm_unpackhi_epi64(result_64_2_int, result_64_2_int));

	xx_storel_64(&result, result_64_2_int);

	return result;
	}

	uint64_t aom_sum_squares_2d_i16_avx2(const int16_t *src, int stride, int width,
	int height) {
	if (LIKELY(width == 4 && height == 4)) {
	return aom_sum_squares_2d_i16_4x4_sse2(src, stride);
	} else if (LIKELY(width == 4 && (height & 3) == 0)) {
	return aom_sum_squares_2d_i16_4xn_sse2(src, stride, height);
	} else if (LIKELY(width == 8 && (height & 3) == 0)) {
	return aom_sum_squares_2d_i16_nxn_sse2(src, stride, width, height);
	} else if (LIKELY(((width & 15) == 0) && ((height & 3) == 0))) {
	return aom_sum_squares_2d_i16_nxn_avx2(src, stride, width, height);
	} else {
	return aom_sum_squares_2d_i16_c(src, stride, width, height);
	}
	}

	static uint64_t aom_sum_sse_2d_i16_nxn_avx2(const int16_t *src, int stride,
	int width, int height, int *sum) {
	uint64_t result;
	const __m256i zero_reg = _mm256_setzero_si256();
	const __m256i one_reg = _mm256_set1_epi16(1);

	__m256i v_sse_total = zero_reg;
	__m256i v_sum_total = zero_reg;

	for (int col = 0; col < height; col += 4) {
	__m256i v_sse_row = zero_reg;
	for (int row = 0; row < width; row += 16) {
	const int16_t *tempsrc = src + row;
	const __m256i v_val_0_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 0 stride));
	const __m256i v_val_1_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 1 stride));
	const __m256i v_val_2_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 2 stride));
	const __m256i v_val_3_w =
	_mm256_loadu_si256((const __m256i )(tempsrc + 3 stride));

	const __m256i v_sum_01 = _mm256_add_epi16(v_val_0_w, v_val_1_w);
	const __m256i v_sum_23 = _mm256_add_epi16(v_val_2_w, v_val_3_w);
	__m256i v_sum_0123 = _mm256_add_epi16(v_sum_01, v_sum_23);
	v_sum_0123 = _mm256_madd_epi16(v_sum_0123, one_reg);
	v_sum_total = _mm256_add_epi32(v_sum_total, v_sum_0123);

	const __m256i v_sq_0_d = _mm256_madd_epi16(v_val_0_w, v_val_0_w);
	const __m256i v_sq_1_d = _mm256_madd_epi16(v_val_1_w, v_val_1_w);
	const __m256i v_sq_2_d = _mm256_madd_epi16(v_val_2_w, v_val_2_w);
	const __m256i v_sq_3_d = _mm256_madd_epi16(v_val_3_w, v_val_3_w);
	const __m256i v_sq_01_d = _mm256_add_epi32(v_sq_0_d, v_sq_1_d);
	const __m256i v_sq_23_d = _mm256_add_epi32(v_sq_2_d, v_sq_3_d);
	const __m256i v_sq_0123_d = _mm256_add_epi32(v_sq_01_d, v_sq_23_d);
	v_sse_row = _mm256_add_epi32(v_sse_row, v_sq_0123_d);
	}
	const __m256i v_sse_row_low = _mm256_unpacklo_epi32(v_sse_row, zero_reg);
	const __m256i v_sse_row_hi = _mm256_unpackhi_epi32(v_sse_row, zero_reg);
	v_sse_row = _mm256_add_epi64(v_sse_row_low, v_sse_row_hi);
	v_sse_total = _mm256_add_epi64(v_sse_total, v_sse_row);
	src += 4 * stride;
	}

	const __m128i v_sum_total_low = _mm256_castsi256_si128(v_sum_total);
	const __m128i v_sum_total_hi = _mm256_extracti128_si256(v_sum_total, 1);
	__m128i sum_128bit = _mm_add_epi32(v_sum_total_hi, v_sum_total_low);
	sum_128bit = _mm_add_epi32(sum_128bit, _mm_srli_si128(sum_128bit, 8));
	sum_128bit = _mm_add_epi32(sum_128bit, _mm_srli_si128(sum_128bit, 4));
	*sum += _mm_cvtsi128_si32(sum_128bit);

	__m128i v_sse_total_lo = _mm256_castsi256_si128(v_sse_total);
	__m128i v_sse_total_hi = _mm256_extracti128_si256(v_sse_total, 1);
	__m128i sse_128bit = _mm_add_epi64(v_sse_total_lo, v_sse_total_hi);

	sse_128bit =
	_mm_add_epi64(sse_128bit, _mm_unpackhi_epi64(sse_128bit, sse_128bit));

	xx_storel_64(&result, sse_128bit);

	return result;
	}

	uint64_t aom_sum_sse_2d_i16_avx2(const int16_t *src, int src_stride, int width,
	int height, int *sum) {
	if (LIKELY(width == 4 && height == 4)) {
	return aom_sum_sse_2d_i16_4x4_sse2(src, src_stride, sum);
	} else if (LIKELY(width == 4 && (height & 3) == 0)) {
	return aom_sum_sse_2d_i16_4xn_sse2(src, src_stride, height, sum);
	} else if (LIKELY(width == 8 && (height & 3) == 0)) {
	return aom_sum_sse_2d_i16_nxn_sse2(src, src_stride, width, height, sum);
	} else if (LIKELY(((width & 15) == 0) && ((height & 3) == 0))) {
	return aom_sum_sse_2d_i16_nxn_avx2(src, src_stride, width, height, sum);
	} else {
	return aom_sum_sse_2d_i16_c(src, src_stride, width, height, sum);
	}
	}

	// Accumulate sum of 16-bit elements in the vector
	static AOM_INLINE int32_t mm256_accumulate_epi16(__m256i vec_a) {
	__m128i vtmp1 = _mm256_extracti128_si256(vec_a, 1);
	__m128i vtmp2 = _mm256_castsi256_si128(vec_a);
	vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
	vtmp2 = _mm_srli_si128(vtmp1, 8);
	vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
	vtmp2 = _mm_srli_si128(vtmp1, 4);
	vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
	vtmp2 = _mm_srli_si128(vtmp1, 2);
	vtmp1 = _mm_add_epi16(vtmp1, vtmp2);
	return _mm_extract_epi16(vtmp1, 0);
	}

	// Accumulate sum of 32-bit elements in the vector
	static AOM_INLINE int32_t mm256_accumulate_epi32(__m256i vec_a) {
	__m128i vtmp1 = _mm256_extracti128_si256(vec_a, 1);
	__m128i vtmp2 = _mm256_castsi256_si128(vec_a);
	vtmp1 = _mm_add_epi32(vtmp1, vtmp2);
	vtmp2 = _mm_srli_si128(vtmp1, 8);
	vtmp1 = _mm_add_epi32(vtmp1, vtmp2);
	vtmp2 = _mm_srli_si128(vtmp1, 4);
	vtmp1 = _mm_add_epi32(vtmp1, vtmp2);
	return _mm_cvtsi128_si32(vtmp1);
	}

	uint64_t aom_var_2d_u8_avx2(uint8_t *src, int src_stride, int width,
	int height) {
	uint8_t *srcp;
	uint64_t s = 0, ss = 0;
	__m256i vzero = _mm256_setzero_si256();
	__m256i v_acc_sum = vzero;
	__m256i v_acc_sqs = vzero;
	int i, j;

	// Process 32 elements in a row
	for (i = 0; i < width - 31; i += 32) {
	srcp = src + i;
	// Process 8 columns at a time
	for (j = 0; j < height - 7; j += 8) {
	__m256i vsrc[8];
	for (int k = 0; k < 8; k++) {
	vsrc[k] = _mm256_loadu_si256((__m256i *)srcp);
	srcp += src_stride;
	}
	for (int k = 0; k < 8; k++) {
	__m256i vsrc0 = _mm256_unpacklo_epi8(vsrc[k], vzero);
	__m256i vsrc1 = _mm256_unpackhi_epi8(vsrc[k], vzero);
	v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc0);
	v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc1);

	__m256i vsqs0 = _mm256_madd_epi16(vsrc0, vsrc0);
	__m256i vsqs1 = _mm256_madd_epi16(vsrc1, vsrc1);
	v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
	v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs1);
	}

	// Update total sum and clear the vectors
	s += mm256_accumulate_epi16(v_acc_sum);
	ss += mm256_accumulate_epi32(v_acc_sqs);
	v_acc_sum = vzero;
	v_acc_sqs = vzero;
	}

	// Process remaining rows (height not a multiple of 8)
	for (; j < height; j++) {
	__m256i vsrc = _mm256_loadu_si256((__m256i *)srcp);
	__m256i vsrc0 = _mm256_unpacklo_epi8(vsrc, vzero);
	__m256i vsrc1 = _mm256_unpackhi_epi8(vsrc, vzero);
	v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc0);
	v_acc_sum = _mm256_add_epi16(v_acc_sum, vsrc1);

	__m256i vsqs0 = _mm256_madd_epi16(vsrc0, vsrc0);
	__m256i vsqs1 = _mm256_madd_epi16(vsrc1, vsrc1);
	v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
	v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs1);

	srcp += src_stride;
	}

	// Update total sum and clear the vectors
	s += mm256_accumulate_epi16(v_acc_sum);
	ss += mm256_accumulate_epi32(v_acc_sqs);
	v_acc_sum = vzero;
	v_acc_sqs = vzero;
	}

	// Process the remaining area using C
	srcp = src;
	for (int k = 0; k < height; k++) {
	for (int m = i; m < width; m++) {
	uint8_t val = srcp[m];
	s += val;
	ss += val * val;
	}
	srcp += src_stride;
	}
	return (ss - s * s / (width * height));
	}

	uint64_t aom_var_2d_u16_avx2(uint8_t *src, int src_stride, int width,
	int height) {
	uint16_t srcp1 = CONVERT_TO_SHORTPTR(src), srcp;
	uint64_t s = 0, ss = 0;
	__m256i vzero = _mm256_setzero_si256();
	__m256i v_acc_sum = vzero;
	__m256i v_acc_sqs = vzero;
	int i, j;

	// Process 16 elements in a row
	for (i = 0; i < width - 15; i += 16) {
	srcp = srcp1 + i;
	// Process 8 columns at a time
	for (j = 0; j < height - 8; j += 8) {
	__m256i vsrc[8];
	for (int k = 0; k < 8; k++) {
	vsrc[k] = _mm256_loadu_si256((__m256i *)srcp);
	srcp += src_stride;
	}
	for (int k = 0; k < 8; k++) {
	__m256i vsrc0 = _mm256_unpacklo_epi16(vsrc[k], vzero);
	__m256i vsrc1 = _mm256_unpackhi_epi16(vsrc[k], vzero);
	v_acc_sum = _mm256_add_epi32(vsrc0, v_acc_sum);
	v_acc_sum = _mm256_add_epi32(vsrc1, v_acc_sum);

	__m256i vsqs0 = _mm256_madd_epi16(vsrc[k], vsrc[k]);
	v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
	}

	// Update total sum and clear the vectors
	s += mm256_accumulate_epi32(v_acc_sum);
	ss += mm256_accumulate_epi32(v_acc_sqs);
	v_acc_sum = vzero;
	v_acc_sqs = vzero;
	}

	// Process remaining rows (height not a multiple of 8)
	for (; j < height; j++) {
	__m256i vsrc = _mm256_loadu_si256((__m256i *)srcp);
	__m256i vsrc0 = _mm256_unpacklo_epi16(vsrc, vzero);
	__m256i vsrc1 = _mm256_unpackhi_epi16(vsrc, vzero);
	v_acc_sum = _mm256_add_epi32(vsrc0, v_acc_sum);
	v_acc_sum = _mm256_add_epi32(vsrc1, v_acc_sum);

	__m256i vsqs0 = _mm256_madd_epi16(vsrc, vsrc);
	v_acc_sqs = _mm256_add_epi32(v_acc_sqs, vsqs0);
	srcp += src_stride;
	}

	// Update total sum and clear the vectors
	s += mm256_accumulate_epi32(v_acc_sum);
	ss += mm256_accumulate_epi32(v_acc_sqs);
	v_acc_sum = vzero;
	v_acc_sqs = vzero;
	}

	// Process the remaining area using C
	srcp = srcp1;
	for (int k = 0; k < height; k++) {
	for (int m = i; m < width; m++) {
	uint16_t val = srcp[m];
	s += val;
	ss += val * val;
	}
	srcp += src_stride;
	}
	return (ss - s * s / (width * height));
	}