aom_dsp/arm/aom_convolve8_neon_i8mm.c

/*
 * Copyright (c) 2014 The WebM project authors. All rights reserved.
 * Copyright (c) 2023, 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 <arm_neon.h>
#include <assert.h>
#include <string.h>

#include "config/aom_config.h"

#include "aom/aom_integer.h"
#include "aom_dsp/aom_dsp_common.h"
#include "aom_dsp/aom_filter.h"
#include "aom_dsp/arm/aom_convolve8_neon.h"
#include "aom_dsp/arm/aom_filter.h"
#include "aom_dsp/arm/mem_neon.h"
#include "aom_dsp/arm/transpose_neon.h"
#include "aom_ports/mem.h"
#include "av1/common/arm/convolve_neon_dotprod.h"
#include "av1/common/arm/convolve_neon_i8mm.h"

static inline int16x4_t convolve8_4_h(const uint8x16_t samples,
                                      const int8x16_t filters,
                                      const uint8x16_t permute_tbl) {
  // Permute samples ready for matrix multiply.
  // { 1,  2,  3,  4,  5,  6,  7,  8,  3,  4,  5,  6,  7,  8,  9, 10 }
  uint8x16_t perm_samples = vqtbl1q_u8(samples, permute_tbl);

  // These instructions multiply a 2x8 matrix (samples) by an 8x2 matrix
  // (filter), destructively accumulating into the destination register.
  int32x4_t sum = vusmmlaq_s32(vdupq_n_s32(0), perm_samples, filters);

  // Tap 0, as well as further narrowing and packing, is applied by the caller.
  return vmovn_s32(sum);
}

static inline uint8x8_t convolve8_8_h(const uint8x16_t samples,
                                      const int8x16_t filters,
                                      const uint8x8_t f0,
                                      const uint8x16x2_t permute_tbl) {
  // Permute samples ready for matrix multiply.
  // { 1,  2,  3,  4,  5,  6,  7,  8,  3,  4,  5,  6,  7,  8,  9, 10 }
  // { 5,  6,  7,  8,  9, 10, 11, 12,  7,  8,  9, 10, 11, 12, 13, 14 }
  uint8x16_t perm_samples[2] = { vqtbl1q_u8(samples, permute_tbl.val[0]),
                                 vqtbl1q_u8(samples, permute_tbl.val[1]) };

  // These instructions multiply a 2x8 matrix (samples) by an 8x2 matrix
  // (filter), destructively accumulating into the destination register.
  int32x4_t sum0123 = vusmmlaq_s32(vdupq_n_s32(0), perm_samples[0], filters);
  int32x4_t sum4567 = vusmmlaq_s32(vdupq_n_s32(0), perm_samples[1], filters);

  // Narrow and re-pack.
  int16x8_t sum = vcombine_s16(vmovn_s32(sum0123), vmovn_s32(sum4567));
  // Apply tap 0 and accumulate.
  sum = vreinterpretq_s16_u16(
      vmlsl_u8(vreinterpretq_u16_s16(sum), vget_low_u8(samples), f0));

  // We halved the filter values so -1 from right shift.
  return vqrshrun_n_s16(sum, FILTER_BITS - 1);
}

static inline void convolve8_horiz_8tap_neon_i8mm(
    const uint8_t *src, ptrdiff_t src_stride, uint8_t *dst,
    ptrdiff_t dst_stride, const int16_t *filter_x, int w, int h) {
  // Filter values are even, so halve to reduce intermediate precision reqs.
  const int8x8_t filter_s8 = vshrn_n_s16(vld1q_s16(filter_x), 1);
  // Stagger the filter for use with the matrix multiply instructions.
  // { f1, f2, f3, f4, f5, f6, f7, 0, 0, f1, f2, f3, f4, f5, f6, f7 }
  const uint8x16_t filter_idx = vld1q_u8(kFilterPermuteTbl);
  const int8x16_t filter =
      vqtbl1q_s8(vcombine_s8(filter_s8, vdup_n_s8(0)), filter_idx);

  // Since f0 is always negative and samples are unsigned, subtract (unsigned)
  // s0 * -f0 to avoid signed overflow.
  const uint8x8_t f0 = vdup_n_u8(-filter_x[0] >> 1);

  if (w == 4) {
    const uint8x16_t perm_tbl = vld1q_u8(kMatMul8PermuteTbl);

    do {
      uint8x16_t s0, s1, s2, s3;
      load_u8_16x4(src, src_stride, &s0, &s1, &s2, &s3);
      uint8x8_t s01 = load_u8_4x2(src + 0 * src_stride, src_stride);
      uint8x8_t s23 = load_u8_4x2(src + 2 * src_stride, src_stride);

      int16x4_t t0 = convolve8_4_h(s0, filter, perm_tbl);
      int16x4_t t1 = convolve8_4_h(s1, filter, perm_tbl);
      int16x4_t t2 = convolve8_4_h(s2, filter, perm_tbl);
      int16x4_t t3 = convolve8_4_h(s3, filter, perm_tbl);
      // Apply tap 0 and accumulate.
      int16x8_t t01 = vcombine_s16(t0, t1);
      int16x8_t t23 = vcombine_s16(t2, t3);
      t01 =
          vreinterpretq_s16_u16(vmlsl_u8(vreinterpretq_u16_s16(t01), s01, f0));
      t23 =
          vreinterpretq_s16_u16(vmlsl_u8(vreinterpretq_u16_s16(t23), s23, f0));
      // We halved the filter values to -1 from right shift.
      uint8x8_t d01 = vqrshrun_n_s16(t01, FILTER_BITS - 1);
      uint8x8_t d23 = vqrshrun_n_s16(t23, FILTER_BITS - 1);

      store_u8x4_strided_x2(dst + 0 * dst_stride, dst_stride, d01);
      store_u8x4_strided_x2(dst + 2 * dst_stride, dst_stride, d23);

      src += 4 * src_stride;
      dst += 4 * dst_stride;
      h -= 4;
    } while (h > 0);
  } else {
    const uint8x16x2_t perm_tbl = vld1q_u8_x2(kMatMul8PermuteTbl);

    do {
      int width = w;
      const uint8_t *s = src;
      uint8_t *d = dst;
      do {
        uint8x16_t s0, s1, s2, s3;
        load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3);

        uint8x8_t d0 = convolve8_8_h(s0, filter, f0, perm_tbl);
        uint8x8_t d1 = convolve8_8_h(s1, filter, f0, perm_tbl);
        uint8x8_t d2 = convolve8_8_h(s2, filter, f0, perm_tbl);
        uint8x8_t d3 = convolve8_8_h(s3, filter, f0, perm_tbl);

        store_u8_8x4(d, dst_stride, d0, d1, d2, d3);

        s += 8;
        d += 8;
        width -= 8;
      } while (width != 0);
      src += 4 * src_stride;
      dst += 4 * dst_stride;
      h -= 4;
    } while (h > 0);
  }
}

static inline int16x4_t convolve6_4_h(const uint8x16_t samples,
                                      const int8x16_t filter,
                                      const uint8x16_t permute_tbl) {
  // Permute samples ready for matrix multiply.
  // { 0,  1,  2,  3,  4,  5,  6,  7,  2,  3,  4,  5,  6,  7,  8,  9 }
  uint8x16_t perm_samples = vqtbl1q_u8(samples, permute_tbl);

  // These instructions multiply a 2x8 matrix (samples) by an 8x2 matrix
  // (filter), destructively accumulating into the destination register.
  int32x4_t sum = vusmmlaq_s32(vdupq_n_s32(0), perm_samples, filter);

  // Further narrowing and packing is performed by the caller.
  return vmovn_s32(sum);
}

static inline uint8x8_t convolve6_8_h(const uint8x16_t samples,
                                      const int8x16_t filter,
                                      const uint8x16x2_t permute_tbl) {
  // Permute samples ready for matrix multiply.
  // { 0,  1,  2,  3,  4,  5,  6,  7,  2,  3,  4,  5,  6,  7,  8,  9 }
  // { 4,  5,  6,  7,  8,  9, 10, 11,  6,  7,  8,  9, 10, 11, 12, 13 }
  uint8x16_t perm_samples[2] = { vqtbl1q_u8(samples, permute_tbl.val[0]),
                                 vqtbl1q_u8(samples, permute_tbl.val[1]) };

  // These instructions multiply a 2x8 matrix (samples) by an 8x2 matrix
  // (filter), destructively accumulating into the destination register.
  int32x4_t sum0123 = vusmmlaq_s32(vdupq_n_s32(0), perm_samples[0], filter);
  int32x4_t sum4567 = vusmmlaq_s32(vdupq_n_s32(0), perm_samples[1], filter);

  // Narrow and re-pack.
  int16x8_t sum = vcombine_s16(vmovn_s32(sum0123), vmovn_s32(sum4567));
  // We halved the filter values so -1 from right shift.
  return vqrshrun_n_s16(sum, FILTER_BITS - 1);
}

static inline void convolve8_horiz_6tap_neon_i8mm(
    const uint8_t *src, ptrdiff_t src_stride, uint8_t *dst,
    ptrdiff_t dst_stride, const int16_t *filter_x, int width, int height) {
  // Filter values are even, so halve to reduce intermediate precision reqs.
  const int8x8_t x_filter = vshrn_n_s16(vld1q_s16(filter_x), 1);
  // Stagger the filter for use with the matrix multiply instructions.
  // { f0, f1, f2, f3, f4, f5,  0,  0,  0, f0, f1, f2, f3, f4, f5,  0 }
  const int8x16_t filter =
      vcombine_s8(vext_s8(x_filter, x_filter, 1), x_filter);

  if (width == 4) {
    const uint8x16_t perm_tbl = vld1q_u8(kMatMul6PermuteTbl);
    do {
      uint8x16_t s0, s1, s2, s3;
      load_u8_16x4(src, src_stride, &s0, &s1, &s2, &s3);

      int16x4_t t0 = convolve6_4_h(s0, filter, perm_tbl);
      int16x4_t t1 = convolve6_4_h(s1, filter, perm_tbl);
      int16x4_t t2 = convolve6_4_h(s2, filter, perm_tbl);
      int16x4_t t3 = convolve6_4_h(s3, filter, perm_tbl);
      // We halved the filter values so -1 from right shift.
      uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(t0, t1), FILTER_BITS - 1);
      uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(t2, t3), FILTER_BITS - 1);

      store_u8x4_strided_x2(dst + 0 * dst_stride, dst_stride, d01);
      store_u8x4_strided_x2(dst + 2 * dst_stride, dst_stride, d23);

      src += 4 * src_stride;
      dst += 4 * dst_stride;
      height -= 4;
    } while (height > 0);
  } else {
    const uint8x16x2_t perm_tbl = vld1q_u8_x2(kMatMul6PermuteTbl);

    do {
      int w = width;
      const uint8_t *s = src;
      uint8_t *d = dst;
      do {
        uint8x16_t s0, s1, s2, s3;
        load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3);

        uint8x8_t d0 = convolve6_8_h(s0, filter, perm_tbl);
        uint8x8_t d1 = convolve6_8_h(s1, filter, perm_tbl);
        uint8x8_t d2 = convolve6_8_h(s2, filter, perm_tbl);
        uint8x8_t d3 = convolve6_8_h(s3, filter, perm_tbl);

        store_u8_8x4(d, dst_stride, d0, d1, d2, d3);

        s += 8;
        d += 8;
        w -= 8;
      } while (w != 0);
      src += 4 * src_stride;
      dst += 4 * dst_stride;
      height -= 4;
    } while (height > 0);
  }
}

void aom_convolve8_horiz_neon_i8mm(const uint8_t *src, ptrdiff_t src_stride,
                                   uint8_t *dst, ptrdiff_t dst_stride,
                                   const int16_t *filter_x, int x_step_q4,
                                   const int16_t *filter_y, int y_step_q4,
                                   int w, int h) {
  assert((intptr_t)dst % 4 == 0);
  assert(dst_stride % 4 == 0);

  (void)x_step_q4;
  (void)filter_y;
  (void)y_step_q4;

  src -= ((SUBPEL_TAPS / 2) - 1);

  int filter_taps = get_filter_taps_convolve8(filter_x);

  if (filter_taps == 2) {
    convolve8_horiz_2tap_neon(src + 3, src_stride, dst, dst_stride, filter_x, w,
                              h);
  } else if (filter_taps <= 6) {
    convolve8_horiz_6tap_neon_i8mm(src + 1, src_stride, dst, dst_stride,
                                   filter_x, w, h);
  } else {
    convolve8_horiz_8tap_neon_i8mm(src, src_stride, dst, dst_stride, filter_x,
                                   w, h);
  }
}

static inline int16x4_t convolve8_4_v(const uint8x16_t samples_lo,
                                      const uint8x16_t samples_hi,
                                      const int8x8_t filters) {
  // Sample permutation is performed by the caller.
  int32x4_t sum = vusdotq_lane_s32(vdupq_n_s32(0), samples_lo, filters, 0);
  sum = vusdotq_lane_s32(sum, samples_hi, filters, 1);

  // Further narrowing and packing is performed by the caller.
  return vmovn_s32(sum);
}

static inline uint8x8_t convolve8_8_v(const uint8x16_t samples0_lo,
                                      const uint8x16_t samples0_hi,
                                      const uint8x16_t samples1_lo,
                                      const uint8x16_t samples1_hi,
                                      const int8x8_t filters) {
  // Sample permutation is performed by the caller.

  // First 4 output values.
  int32x4_t sum0 = vusdotq_lane_s32(vdupq_n_s32(0), samples0_lo, filters, 0);
  sum0 = vusdotq_lane_s32(sum0, samples0_hi, filters, 1);
  // Second 4 output values.
  int32x4_t sum1 = vusdotq_lane_s32(vdupq_n_s32(0), samples1_lo, filters, 0);
  sum1 = vusdotq_lane_s32(sum1, samples1_hi, filters, 1);

  // Narrow and re-pack.
  int16x8_t sum = vcombine_s16(vmovn_s32(sum0), vmovn_s32(sum1));
  // We halved the filter values so -1 from right shift.
  return vqrshrun_n_s16(sum, FILTER_BITS - 1);
}

static inline void convolve8_vert_8tap_neon_i8mm(
    const uint8_t *src, ptrdiff_t src_stride, uint8_t *dst,
    ptrdiff_t dst_stride, const int16_t *filter_y, int w, int h) {
  // Filter values are even, so halve to reduce intermediate precision reqs.
  const int8x8_t filter = vshrn_n_s16(vld1q_s16(filter_y), 1);
  const uint8x16x3_t merge_block_tbl = vld1q_u8_x3(kDotProdMergeBlockTbl);
  uint8x16x2_t samples_LUT;

  if (w == 4) {
    uint8x8_t s0, s1, s2, s3, s4, s5, s6;
    load_u8_8x7(src, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6);
    src += 7 * src_stride;

    // This operation combines a conventional transpose and the sample permute
    // required before computing the dot product.
    uint8x16_t s0123, s1234, s2345, s3456;
    transpose_concat_elems_u8_4x4(s0, s1, s2, s3, &s0123);
    transpose_concat_elems_u8_4x4(s1, s2, s3, s4, &s1234);
    transpose_concat_elems_u8_4x4(s2, s3, s4, s5, &s2345);
    transpose_concat_elems_u8_4x4(s3, s4, s5, s6, &s3456);

    do {
      uint8x8_t s7, s8, s9, s10;
      load_u8_8x4(src, src_stride, &s7, &s8, &s9, &s10);

      uint8x16_t s4567, s5678, s6789, s78910;
      transpose_concat_elems_u8_4x4(s7, s8, s9, s10, &s78910);

      // Merge new data into block from previous iteration.
      samples_LUT.val[0] = s3456;
      samples_LUT.val[1] = s78910;
      s4567 = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[0]);
      s5678 = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[1]);
      s6789 = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[2]);

      int16x4_t d0 = convolve8_4_v(s0123, s4567, filter);
      int16x4_t d1 = convolve8_4_v(s1234, s5678, filter);
      int16x4_t d2 = convolve8_4_v(s2345, s6789, filter);
      int16x4_t d3 = convolve8_4_v(s3456, s78910, filter);
      // We halved the filter values so -1 from right shift.
      uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(d0, d1), FILTER_BITS - 1);
      uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(d2, d3), FILTER_BITS - 1);

      store_u8x4_strided_x2(dst + 0 * dst_stride, dst_stride, d01);
      store_u8x4_strided_x2(dst + 2 * dst_stride, dst_stride, d23);

      // Prepare block for next iteration - re-using as much as possible.
      // Shuffle everything up four rows.
      s0123 = s4567;
      s1234 = s5678;
      s2345 = s6789;
      s3456 = s78910;

      src += 4 * src_stride;
      dst += 4 * dst_stride;
      h -= 4;
    } while (h != 0);
  } else {
    do {
      int height = h;
      const uint8_t *s = src;
      uint8_t *d = dst;

      uint8x8_t s0, s1, s2, s3, s4, s5, s6;
      load_u8_8x7(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6);
      s += 7 * src_stride;

      // This operation combines a conventional transpose and the sample permute
      // required before computing the dot product.
      uint8x16_t s0123_lo, s0123_hi, s1234_lo, s1234_hi, s2345_lo, s2345_hi,
          s3456_lo, s3456_hi;
      transpose_concat_elems_u8_8x4(s0, s1, s2, s3, &s0123_lo, &s0123_hi);
      transpose_concat_elems_u8_8x4(s1, s2, s3, s4, &s1234_lo, &s1234_hi);
      transpose_concat_elems_u8_8x4(s2, s3, s4, s5, &s2345_lo, &s2345_hi);
      transpose_concat_elems_u8_8x4(s3, s4, s5, s6, &s3456_lo, &s3456_hi);

      do {
        uint8x8_t s7, s8, s9, s10;
        load_u8_8x4(s, src_stride, &s7, &s8, &s9, &s10);

        uint8x16_t s4567_lo, s4567_hi, s5678_lo, s5678_hi, s6789_lo, s6789_hi,
            s78910_lo, s78910_hi;
        transpose_concat_elems_u8_8x4(s7, s8, s9, s10, &s78910_lo, &s78910_hi);

        // Merge new data into block from previous iteration.
        samples_LUT.val[0] = s3456_lo;
        samples_LUT.val[1] = s78910_lo;
        s4567_lo = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[0]);
        s5678_lo = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[1]);
        s6789_lo = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[2]);

        samples_LUT.val[0] = s3456_hi;
        samples_LUT.val[1] = s78910_hi;
        s4567_hi = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[0]);
        s5678_hi = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[1]);
        s6789_hi = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[2]);

        uint8x8_t d0 =
            convolve8_8_v(s0123_lo, s4567_lo, s0123_hi, s4567_hi, filter);
        uint8x8_t d1 =
            convolve8_8_v(s1234_lo, s5678_lo, s1234_hi, s5678_hi, filter);
        uint8x8_t d2 =
            convolve8_8_v(s2345_lo, s6789_lo, s2345_hi, s6789_hi, filter);
        uint8x8_t d3 =
            convolve8_8_v(s3456_lo, s78910_lo, s3456_hi, s78910_hi, filter);

        store_u8_8x4(d, dst_stride, d0, d1, d2, d3);

        // Prepare block for next iteration - re-using as much as possible.
        // Shuffle everything up four rows.
        s0123_lo = s4567_lo;
        s0123_hi = s4567_hi;
        s1234_lo = s5678_lo;
        s1234_hi = s5678_hi;
        s2345_lo = s6789_lo;
        s2345_hi = s6789_hi;
        s3456_lo = s78910_lo;
        s3456_hi = s78910_hi;

        s += 4 * src_stride;
        d += 4 * dst_stride;
        height -= 4;
      } while (height != 0);
      src += 8;
      dst += 8;
      w -= 8;
    } while (w != 0);
  }
}

static inline int16x4_t convolve4_4_v(const uint8x16_t samples,
                                      const int8x8_t filters) {
  // Sample permutation is performed by the caller.
  int32x4_t sum = vusdotq_lane_s32(vdupq_n_s32(0), samples, filters, 0);

  // Further narrowing and packing is performed by the caller.
  return vmovn_s32(sum);
}

static inline uint8x8_t convolve4_8_v(const uint8x16_t samples0,
                                      const uint8x16_t samples1,
                                      const int8x8_t filters) {
  // Sample permutation is performed by the caller.

  // First 4 output values.
  int32x4_t sum0 = vusdotq_lane_s32(vdupq_n_s32(0), samples0, filters, 0);
  // Second 4 output values.
  int32x4_t sum1 = vusdotq_lane_s32(vdupq_n_s32(0), samples1, filters, 0);

  // Narrow and re-pack.
  int16x8_t sum = vcombine_s16(vmovn_s32(sum0), vmovn_s32(sum1));
  // We halved the filter values so -1 from right shift.
  return vqrshrun_n_s16(sum, FILTER_BITS - 1);
}

static inline void convolve8_vert_4tap_neon_i8mm(
    const uint8_t *src, ptrdiff_t src_stride, uint8_t *dst,
    ptrdiff_t dst_stride, const int16_t *filter_y, int w, int h) {
  // Filter values are even, so halve to reduce intermediate precision reqs.
  const int16x8_t filter_s16 =
      vcombine_s16(vld1_s16(filter_y + 2), vdup_n_s16(0));
  const int8x8_t filter = vshrn_n_s16(filter_s16, 1);
  const uint8x16x3_t merge_block_tbl = vld1q_u8_x3(kDotProdMergeBlockTbl);
  uint8x16x2_t samples_LUT;

  if (w == 4) {
    uint8x8_t s0, s1, s2, s3;
    load_u8_8x4(src, src_stride, &s0, &s1, &s2, &s3);
    src += 4 * src_stride;

    // This operation combines a conventional transpose and the sample permute
    // required before computing the dot product.
    uint8x16_t s0123;
    transpose_concat_elems_u8_4x4(s0, s1, s2, s3, &s0123);

    do {
      uint8x8_t s4, s5, s6, s7;
      load_u8_8x4(src, src_stride, &s4, &s5, &s6, &s7);

      uint8x16_t s4567;
      transpose_concat_elems_u8_4x4(s4, s5, s6, s7, &s4567);

      // Merge new data into block from previous iteration.
      samples_LUT.val[0] = s0123;
      samples_LUT.val[1] = s4567;
      uint8x16_t s1234 = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[0]);
      uint8x16_t s2345 = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[1]);
      uint8x16_t s3456 = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[2]);

      int16x4_t d0 = convolve4_4_v(s0123, filter);
      int16x4_t d1 = convolve4_4_v(s1234, filter);
      int16x4_t d2 = convolve4_4_v(s2345, filter);
      int16x4_t d3 = convolve4_4_v(s3456, filter);
      // We halved the filter values so -1 from right shift.
      uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(d0, d1), FILTER_BITS - 1);
      uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(d2, d3), FILTER_BITS - 1);

      store_u8x4_strided_x2(dst + 0 * dst_stride, dst_stride, d01);
      store_u8x4_strided_x2(dst + 2 * dst_stride, dst_stride, d23);

      // Prepare block for next iteration - re-using as much as possible.
      // Shuffle everything up four rows.
      s0123 = s4567;

      src += 4 * src_stride;
      dst += 4 * dst_stride;
      h -= 4;
    } while (h != 0);
  } else {
    do {
      int height = h;
      const uint8_t *s = src;
      uint8_t *d = dst;

      uint8x8_t s0, s1, s2, s3;
      load_u8_8x4(s, src_stride, &s0, &s1, &s2, &s3);
      s += 4 * src_stride;

      // This operation combines a conventional transpose and the sample permute
      // required before computing the dot product.
      uint8x16_t s0123_lo, s0123_hi;
      transpose_concat_elems_u8_8x4(s0, s1, s2, s3, &s0123_lo, &s0123_hi);

      do {
        uint8x8_t s4, s5, s6, s7;
        load_u8_8x4(s, src_stride, &s4, &s5, &s6, &s7);

        uint8x16_t s4567_lo, s4567_hi;
        transpose_concat_elems_u8_8x4(s4, s5, s6, s7, &s4567_lo, &s4567_hi);

        // Merge new data into block from previous iteration.
        samples_LUT.val[0] = s0123_lo;
        samples_LUT.val[1] = s4567_lo;
        uint8x16_t s1234_lo = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[0]);
        uint8x16_t s2345_lo = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[1]);
        uint8x16_t s3456_lo = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[2]);

        samples_LUT.val[0] = s0123_hi;
        samples_LUT.val[1] = s4567_hi;
        uint8x16_t s1234_hi = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[0]);
        uint8x16_t s2345_hi = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[1]);
        uint8x16_t s3456_hi = vqtbl2q_u8(samples_LUT, merge_block_tbl.val[2]);

        uint8x8_t d0 = convolve4_8_v(s0123_lo, s0123_hi, filter);
        uint8x8_t d1 = convolve4_8_v(s1234_lo, s1234_hi, filter);
        uint8x8_t d2 = convolve4_8_v(s2345_lo, s2345_hi, filter);
        uint8x8_t d3 = convolve4_8_v(s3456_lo, s3456_hi, filter);

        store_u8_8x4(d, dst_stride, d0, d1, d2, d3);

        // Prepare block for next iteration - re-using as much as possible.
        // Shuffle everything up four rows.
        s0123_lo = s4567_lo;
        s0123_hi = s4567_hi;

        s += 4 * src_stride;
        d += 4 * dst_stride;
        height -= 4;
      } while (height != 0);
      src += 8;
      dst += 8;
      w -= 8;
    } while (w != 0);
  }
}

void aom_convolve8_vert_neon_i8mm(const uint8_t *src, ptrdiff_t src_stride,
                                  uint8_t *dst, ptrdiff_t dst_stride,
                                  const int16_t *filter_x, int x_step_q4,
                                  const int16_t *filter_y, int y_step_q4, int w,
                                  int h) {
  assert((intptr_t)dst % 4 == 0);
  assert(dst_stride % 4 == 0);

  (void)filter_x;
  (void)x_step_q4;
  (void)y_step_q4;

  src -= ((SUBPEL_TAPS / 2) - 1) * src_stride;

  int filter_taps = get_filter_taps_convolve8(filter_y);

  if (filter_taps == 2) {
    convolve8_vert_2tap_neon(src + 3 * src_stride, src_stride, dst, dst_stride,
                             filter_y, w, h);
  } else if (filter_taps == 4) {
    convolve8_vert_4tap_neon_i8mm(src + 2 * src_stride, src_stride, dst,
                                  dst_stride, filter_y, w, h);
  } else {
    convolve8_vert_8tap_neon_i8mm(src, src_stride, dst, dst_stride, filter_y, w,
                                  h);
  }
}