av1/common/arm/wiener_convolve_neon.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 <arm_neon.h>

            
            #include <assert.h>


            #include "config/aom_config.h"

            
            #include "config/av1_rtcd.h"


            #include "aom_dsp/arm/mem_neon.h"

            
            #include "aom_dsp/arm/transpose_neon.h"

            
            #include "aom_dsp/txfm_common.h"

            
            #include "aom_ports/mem.h"

            
            #include "av1/common/common.h"

            
            #include "av1/common/restoration.h"


            static inline uint16x8_t wiener_convolve5_8_2d_h(

            
                const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2,

            
                const uint8x8_t t3, const uint8x8_t t4, const int16x4_t x_filter,

            
                const int32x4_t round_vec, const uint16x8_t im_max_val) {

            
              // Since the Wiener filter is symmetric about the middle tap (tap 2) add

            
              // mirrored source elements before multiplying filter coefficients.

            
              int16x8_t s04 = vreinterpretq_s16_u16(vaddl_u8(t0, t4));

            
              int16x8_t s13 = vreinterpretq_s16_u16(vaddl_u8(t1, t3));

            
              int16x8_t s2 = vreinterpretq_s16_u16(vmovl_u8(t2));


              // x_filter[0] = 0. (5-tap filters are 0-padded to 7 taps.)

            
              int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s04), x_filter, 1);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), x_filter, 2);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), x_filter, 3);


              int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s04), x_filter, 1);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), x_filter, 2);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), x_filter, 3);


              uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS),

            
                                            vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS));


              return vminq_u16(res, im_max_val);

            
            }


            static inline void convolve_add_src_horiz_5tap_neon(

            
                const uint8_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr,

            
                ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter,

            
                const int32x4_t round_vec, const uint16x8_t im_max_val) {

            
              do {

            
                const uint8_t *s = src_ptr;

            
                uint16_t *d = dst_ptr;

            
                int width = w;


                do {

            
                  uint8x8_t s0, s1, s2, s3, s4;

            
                  load_u8_8x5(s, 1, &s0, &s1, &s2, &s3, &s4);


                  uint16x8_t d0 = wiener_convolve5_8_2d_h(s0, s1, s2, s3, s4, x_filter,

            
                                                          round_vec, im_max_val);


                  vst1q_u16(d, d0);


                  s += 8;

            
                  d += 8;

            
                  width -= 8;

            
                } while (width != 0);

            
                src_ptr += src_stride;

            
                dst_ptr += dst_stride;

            
              } while (--h != 0);

            
            }


            static inline uint16x8_t wiener_convolve7_8_2d_h(

            
                const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2,

            
                const uint8x8_t t3, const uint8x8_t t4, const uint8x8_t t5,

            
                const uint8x8_t t6, const int16x4_t x_filter, const int32x4_t round_vec,

            
                const uint16x8_t im_max_val) {

            
              // Since the Wiener filter is symmetric about the middle tap (tap 3) add

            
              // mirrored source elements before multiplying by filter coefficients.

            
              int16x8_t s06 = vreinterpretq_s16_u16(vaddl_u8(t0, t6));

            
              int16x8_t s15 = vreinterpretq_s16_u16(vaddl_u8(t1, t5));

            
              int16x8_t s24 = vreinterpretq_s16_u16(vaddl_u8(t2, t4));

            
              int16x8_t s3 = vreinterpretq_s16_u16(vmovl_u8(t3));


              int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s06), x_filter, 0);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), x_filter, 1);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), x_filter, 2);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), x_filter, 3);


              int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s06), x_filter, 0);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), x_filter, 1);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), x_filter, 2);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), x_filter, 3);


              uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS),

            
                                            vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS));


              return vminq_u16(res, im_max_val);

            
            }


            static inline void convolve_add_src_horiz_7tap_neon(

            
                const uint8_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr,

            
                ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter,

            
                const int32x4_t round_vec, const uint16x8_t im_max_val) {

            
              do {

            
                const uint8_t *s = src_ptr;

            
                uint16_t *d = dst_ptr;

            
                int width = w;


                do {

            
                  uint8x8_t s0, s1, s2, s3, s4, s5, s6;

            
                  load_u8_8x7(s, 1, &s0, &s1, &s2, &s3, &s4, &s5, &s6);


                  uint16x8_t d0 = wiener_convolve7_8_2d_h(s0, s1, s2, s3, s4, s5, s6,

            
                                                          x_filter, round_vec, im_max_val);


                  vst1q_u16(d, d0);


                  s += 8;

            
                  d += 8;

            
                  width -= 8;

            
                } while (width != 0);

            
                src_ptr += src_stride;

            
                dst_ptr += dst_stride;

            
              } while (--h != 0);

            
            }


            static inline uint8x8_t wiener_convolve5_8_2d_v(

            
                const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,

            
                const int16x8_t s3, const int16x8_t s4, const int16x4_t y_filter,

            
                const int32x4_t round_vec) {

            
              // Since the Wiener filter is symmetric about the middle tap (tap 2) add

            
              // mirrored source elements before multiplying by filter coefficients.

            
              int16x8_t s04 = vaddq_s16(s0, s4);

            
              int16x8_t s13 = vaddq_s16(s1, s3);


              int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s04), y_filter, 1);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), y_filter, 2);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), y_filter, 3);


              int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s04), y_filter, 1);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), y_filter, 2);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), y_filter, 3);


              int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS);

            
              int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS);


              return vqmovun_s16(vcombine_s16(res_lo, res_hi));

            
            }


            static inline void convolve_add_src_vert_5tap_neon(

            
                const uint16_t *src, ptrdiff_t src_stride, uint8_t *dst,

            
                ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter,

            
                const int32x4_t round_vec) {

            
              do {

            
                const int16_t *s = (int16_t *)src;

            
                uint8_t *d = dst;

            
                int height = h;


                while (height > 3) {

            
                  int16x8_t s0, s1, s2, s3, s4, s5, s6, s7;

            
                  load_s16_8x8(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7);


                  uint8x8_t d0 =

            
                      wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec);

            
                  uint8x8_t d1 =

            
                      wiener_convolve5_8_2d_v(s1, s2, s3, s4, s5, y_filter, round_vec);

            
                  uint8x8_t d2 =

            
                      wiener_convolve5_8_2d_v(s2, s3, s4, s5, s6, y_filter, round_vec);

            
                  uint8x8_t d3 =

            
                      wiener_convolve5_8_2d_v(s3, s4, s5, s6, s7, y_filter, round_vec);


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


                  s += 4 * src_stride;

            
                  d += 4 * dst_stride;

            
                  height -= 4;

            
                }


                while (height-- != 0) {

            
                  int16x8_t s0, s1, s2, s3, s4;

            
                  load_s16_8x5(s, src_stride, &s0, &s1, &s2, &s3, &s4);


                  uint8x8_t d0 =

            
                      wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec);


                  vst1_u8(d, d0);


                  d += dst_stride;

            
                  s += src_stride;

            
                }


                src += 8;

            
                dst += 8;

            
                w -= 8;

            
              } while (w != 0);

            
            }


            static inline uint8x8_t wiener_convolve7_8_2d_v(

            
                const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,

            
                const int16x8_t s3, const int16x8_t s4, const int16x8_t s5,

            
                const int16x8_t s6, const int16x4_t y_filter, const int32x4_t round_vec) {

            
              // Since the Wiener filter is symmetric about the middle tap (tap 3) add

            
              // mirrored source elements before multiplying by filter coefficients.

            
              int16x8_t s06 = vaddq_s16(s0, s6);

            
              int16x8_t s15 = vaddq_s16(s1, s5);

            
              int16x8_t s24 = vaddq_s16(s2, s4);


              int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s06), y_filter, 0);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), y_filter, 1);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), y_filter, 2);

            
              sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), y_filter, 3);


              int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s06), y_filter, 0);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), y_filter, 1);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), y_filter, 2);

            
              sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), y_filter, 3);


              int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS);

            
              int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS);


              return vqmovun_s16(vcombine_s16(res_lo, res_hi));

            
            }


            static inline void convolve_add_src_vert_7tap_neon(

            
                const uint16_t *src, ptrdiff_t src_stride, uint8_t *dst,

            
                ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter,

            
                const int32x4_t round_vec) {

            
              do {

            
                const int16_t *s = (int16_t *)src;

            
                uint8_t *d = dst;

            
                int height = h;


                while (height > 3) {

            
                  int16x8_t s0, s1, s2, s3, s4, s5, s6, s7, s8, s9;

            
                  load_s16_8x10(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7, &s8,

            
                                &s9);


                  uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6,

            
                                                         y_filter, round_vec);

            
                  uint8x8_t d1 = wiener_convolve7_8_2d_v(s1, s2, s3, s4, s5, s6, s7,

            
                                                         y_filter, round_vec);

            
                  uint8x8_t d2 = wiener_convolve7_8_2d_v(s2, s3, s4, s5, s6, s7, s8,

            
                                                         y_filter, round_vec);

            
                  uint8x8_t d3 = wiener_convolve7_8_2d_v(s3, s4, s5, s6, s7, s8, s9,

            
                                                         y_filter, round_vec);


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


                  s += 4 * src_stride;

            
                  d += 4 * dst_stride;

            
                  height -= 4;

            
                }


                while (height-- != 0) {

            
                  int16x8_t s0, s1, s2, s3, s4, s5, s6;

            
                  load_s16_8x7(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6);


                  uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6,

            
                                                         y_filter, round_vec);


                  vst1_u8(d, d0);


                  d += dst_stride;

            
                  s += src_stride;

            
                }


                src += 8;

            
                dst += 8;

            
                w -= 8;

            
              } while (w != 0);

            
            }


            static inline int get_wiener_filter_taps(const int16_t *filter) {

            
              assert(filter[7] == 0);

            
              if (filter[0] == 0 && filter[6] == 0) {

            
                return WIENER_WIN_REDUCED;

            
              }

            
              return WIENER_WIN;

            
            }


            // Wiener filter 2D

            
            // Apply horizontal filter and store in a temporary buffer. When applying

            
            // vertical filter, overwrite the original pixel values.

            
            void av1_wiener_convolve_add_src_neon(const uint8_t *src, ptrdiff_t src_stride,

            
                                                  uint8_t *dst, ptrdiff_t dst_stride,

            
                                                  const int16_t *x_filter, int x_step_q4,

            
                                                  const int16_t *y_filter, int y_step_q4,

            
                                                  int w, int h,

            
                                                  const WienerConvolveParams *conv_params) {

            
              (void)x_step_q4;

            
              (void)y_step_q4;

            
              (void)conv_params;


              assert(w % 8 == 0);

            
              assert(w <= MAX_SB_SIZE && h <= MAX_SB_SIZE);

            
              assert(x_step_q4 == 16 && y_step_q4 == 16);

            
              assert(x_filter[7] == 0 && y_filter[7] == 0);

            
              // For bd == 8, assert horizontal filtering output will not exceed 15-bit:

            
              assert(8 + 1 + FILTER_BITS - conv_params->round_0 <= 15);


              DECLARE_ALIGNED(16, uint16_t,

            
                              im_block[(MAX_SB_SIZE + WIENER_WIN - 1) * MAX_SB_SIZE]);


              const int x_filter_taps = get_wiener_filter_taps(x_filter);

            
              const int y_filter_taps = get_wiener_filter_taps(y_filter);

            
              int16x4_t x_filter_s16 = vld1_s16(x_filter);

            
              int16x4_t y_filter_s16 = vld1_s16(y_filter);

            
              // Add 128 to tap 3. (Needed for rounding.)

            
              x_filter_s16 = vadd_s16(x_filter_s16, vcreate_s16(128ULL << 48));

            
              y_filter_s16 = vadd_s16(y_filter_s16, vcreate_s16(128ULL << 48));


              const int im_stride = MAX_SB_SIZE;

            
              const int im_h = h + y_filter_taps - 1;

            
              const int horiz_offset = x_filter_taps / 2;

            
              const int vert_offset = (y_filter_taps / 2) * (int)src_stride;


              const int bd = 8;

            
              const uint16x8_t im_max_val =

            
                  vdupq_n_u16((1 << (bd + 1 + FILTER_BITS - WIENER_ROUND0_BITS)) - 1);

            
              const int32x4_t horiz_round_vec = vdupq_n_s32(1 << (bd + FILTER_BITS - 1));


              const int32x4_t vert_round_vec =

            
                  vdupq_n_s32((1 << (2 * FILTER_BITS - WIENER_ROUND0_BITS - 1)) -

            
                              (1 << (bd + (2 * FILTER_BITS - WIENER_ROUND0_BITS) - 1)));


              if (x_filter_taps == WIENER_WIN_REDUCED) {

            
                convolve_add_src_horiz_5tap_neon(src - horiz_offset - vert_offset,

            
                                                 src_stride, im_block, im_stride, w, im_h,

            
                                                 x_filter_s16, horiz_round_vec, im_max_val);

            
              } else {

            
                convolve_add_src_horiz_7tap_neon(src - horiz_offset - vert_offset,

            
                                                 src_stride, im_block, im_stride, w, im_h,

            
                                                 x_filter_s16, horiz_round_vec, im_max_val);

            
              }


              if (y_filter_taps == WIENER_WIN_REDUCED) {

            
                convolve_add_src_vert_5tap_neon(im_block, im_stride, dst, dst_stride, w, h,

            
                                                y_filter_s16, vert_round_vec);

            
              } else {

            
                convolve_add_src_vert_7tap_neon(im_block, im_stride, dst, dst_stride, w, h,

            
                                                y_filter_s16, vert_round_vec);

            
              }

            
            }
	/*
	* 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 <arm_neon.h>
	#include <assert.h>

	#include "config/aom_config.h"
	#include "config/av1_rtcd.h"

	#include "aom_dsp/arm/mem_neon.h"
	#include "aom_dsp/arm/transpose_neon.h"
	#include "aom_dsp/txfm_common.h"
	#include "aom_ports/mem.h"
	#include "av1/common/common.h"
	#include "av1/common/restoration.h"

	static inline uint16x8_t wiener_convolve5_8_2d_h(
	const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2,
	const uint8x8_t t3, const uint8x8_t t4, const int16x4_t x_filter,
	const int32x4_t round_vec, const uint16x8_t im_max_val) {
	// Since the Wiener filter is symmetric about the middle tap (tap 2) add
	// mirrored source elements before multiplying filter coefficients.
	int16x8_t s04 = vreinterpretq_s16_u16(vaddl_u8(t0, t4));
	int16x8_t s13 = vreinterpretq_s16_u16(vaddl_u8(t1, t3));
	int16x8_t s2 = vreinterpretq_s16_u16(vmovl_u8(t2));

	// x_filter[0] = 0. (5-tap filters are 0-padded to 7 taps.)
	int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s04), x_filter, 1);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), x_filter, 2);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), x_filter, 3);

	int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s04), x_filter, 1);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), x_filter, 2);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), x_filter, 3);

	uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS),
	vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS));

	return vminq_u16(res, im_max_val);
	}

	static inline void convolve_add_src_horiz_5tap_neon(
	const uint8_t src_ptr, ptrdiff_t src_stride, uint16_t dst_ptr,
	ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter,
	const int32x4_t round_vec, const uint16x8_t im_max_val) {
	do {
	const uint8_t *s = src_ptr;
	uint16_t *d = dst_ptr;
	int width = w;

	do {
	uint8x8_t s0, s1, s2, s3, s4;
	load_u8_8x5(s, 1, &s0, &s1, &s2, &s3, &s4);

	uint16x8_t d0 = wiener_convolve5_8_2d_h(s0, s1, s2, s3, s4, x_filter,
	round_vec, im_max_val);

	vst1q_u16(d, d0);

	s += 8;
	d += 8;
	width -= 8;
	} while (width != 0);
	src_ptr += src_stride;
	dst_ptr += dst_stride;
	} while (--h != 0);
	}

	static inline uint16x8_t wiener_convolve7_8_2d_h(
	const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2,
	const uint8x8_t t3, const uint8x8_t t4, const uint8x8_t t5,
	const uint8x8_t t6, const int16x4_t x_filter, const int32x4_t round_vec,
	const uint16x8_t im_max_val) {
	// Since the Wiener filter is symmetric about the middle tap (tap 3) add
	// mirrored source elements before multiplying by filter coefficients.
	int16x8_t s06 = vreinterpretq_s16_u16(vaddl_u8(t0, t6));
	int16x8_t s15 = vreinterpretq_s16_u16(vaddl_u8(t1, t5));
	int16x8_t s24 = vreinterpretq_s16_u16(vaddl_u8(t2, t4));
	int16x8_t s3 = vreinterpretq_s16_u16(vmovl_u8(t3));

	int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s06), x_filter, 0);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), x_filter, 1);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), x_filter, 2);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), x_filter, 3);

	int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s06), x_filter, 0);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), x_filter, 1);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), x_filter, 2);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), x_filter, 3);

	uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS),
	vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS));

	return vminq_u16(res, im_max_val);
	}

	static inline void convolve_add_src_horiz_7tap_neon(
	const uint8_t src_ptr, ptrdiff_t src_stride, uint16_t dst_ptr,
	ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter,
	const int32x4_t round_vec, const uint16x8_t im_max_val) {
	do {
	const uint8_t *s = src_ptr;
	uint16_t *d = dst_ptr;
	int width = w;

	do {
	uint8x8_t s0, s1, s2, s3, s4, s5, s6;
	load_u8_8x7(s, 1, &s0, &s1, &s2, &s3, &s4, &s5, &s6);

	uint16x8_t d0 = wiener_convolve7_8_2d_h(s0, s1, s2, s3, s4, s5, s6,
	x_filter, round_vec, im_max_val);

	vst1q_u16(d, d0);

	s += 8;
	d += 8;
	width -= 8;
	} while (width != 0);
	src_ptr += src_stride;
	dst_ptr += dst_stride;
	} while (--h != 0);
	}

	static inline uint8x8_t wiener_convolve5_8_2d_v(
	const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,
	const int16x8_t s3, const int16x8_t s4, const int16x4_t y_filter,
	const int32x4_t round_vec) {
	// Since the Wiener filter is symmetric about the middle tap (tap 2) add
	// mirrored source elements before multiplying by filter coefficients.
	int16x8_t s04 = vaddq_s16(s0, s4);
	int16x8_t s13 = vaddq_s16(s1, s3);

	int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s04), y_filter, 1);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), y_filter, 2);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), y_filter, 3);

	int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s04), y_filter, 1);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), y_filter, 2);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), y_filter, 3);

	int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS);
	int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS);

	return vqmovun_s16(vcombine_s16(res_lo, res_hi));
	}

	static inline void convolve_add_src_vert_5tap_neon(
	const uint16_t src, ptrdiff_t src_stride, uint8_t dst,
	ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter,
	const int32x4_t round_vec) {
	do {
	const int16_t s = (int16_t )src;
	uint8_t *d = dst;
	int height = h;

	while (height > 3) {
	int16x8_t s0, s1, s2, s3, s4, s5, s6, s7;
	load_s16_8x8(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7);

	uint8x8_t d0 =
	wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec);
	uint8x8_t d1 =
	wiener_convolve5_8_2d_v(s1, s2, s3, s4, s5, y_filter, round_vec);
	uint8x8_t d2 =
	wiener_convolve5_8_2d_v(s2, s3, s4, s5, s6, y_filter, round_vec);
	uint8x8_t d3 =
	wiener_convolve5_8_2d_v(s3, s4, s5, s6, s7, y_filter, round_vec);

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

	s += 4 * src_stride;
	d += 4 * dst_stride;
	height -= 4;
	}

	while (height-- != 0) {
	int16x8_t s0, s1, s2, s3, s4;
	load_s16_8x5(s, src_stride, &s0, &s1, &s2, &s3, &s4);

	uint8x8_t d0 =
	wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec);

	vst1_u8(d, d0);

	d += dst_stride;
	s += src_stride;
	}

	src += 8;
	dst += 8;
	w -= 8;
	} while (w != 0);
	}

	static inline uint8x8_t wiener_convolve7_8_2d_v(
	const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,
	const int16x8_t s3, const int16x8_t s4, const int16x8_t s5,
	const int16x8_t s6, const int16x4_t y_filter, const int32x4_t round_vec) {
	// Since the Wiener filter is symmetric about the middle tap (tap 3) add
	// mirrored source elements before multiplying by filter coefficients.
	int16x8_t s06 = vaddq_s16(s0, s6);
	int16x8_t s15 = vaddq_s16(s1, s5);
	int16x8_t s24 = vaddq_s16(s2, s4);

	int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s06), y_filter, 0);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), y_filter, 1);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), y_filter, 2);
	sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), y_filter, 3);

	int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s06), y_filter, 0);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), y_filter, 1);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), y_filter, 2);
	sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), y_filter, 3);

	int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS);
	int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS);

	return vqmovun_s16(vcombine_s16(res_lo, res_hi));
	}

	static inline void convolve_add_src_vert_7tap_neon(
	const uint16_t src, ptrdiff_t src_stride, uint8_t dst,
	ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter,
	const int32x4_t round_vec) {
	do {
	const int16_t s = (int16_t )src;
	uint8_t *d = dst;
	int height = h;

	while (height > 3) {
	int16x8_t s0, s1, s2, s3, s4, s5, s6, s7, s8, s9;
	load_s16_8x10(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7, &s8,
	&s9);

	uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6,
	y_filter, round_vec);
	uint8x8_t d1 = wiener_convolve7_8_2d_v(s1, s2, s3, s4, s5, s6, s7,
	y_filter, round_vec);
	uint8x8_t d2 = wiener_convolve7_8_2d_v(s2, s3, s4, s5, s6, s7, s8,
	y_filter, round_vec);
	uint8x8_t d3 = wiener_convolve7_8_2d_v(s3, s4, s5, s6, s7, s8, s9,
	y_filter, round_vec);

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

	s += 4 * src_stride;
	d += 4 * dst_stride;
	height -= 4;
	}

	while (height-- != 0) {
	int16x8_t s0, s1, s2, s3, s4, s5, s6;
	load_s16_8x7(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6);

	uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6,
	y_filter, round_vec);

	vst1_u8(d, d0);

	d += dst_stride;
	s += src_stride;
	}

	src += 8;
	dst += 8;
	w -= 8;
	} while (w != 0);
	}

	static inline int get_wiener_filter_taps(const int16_t *filter) {
	assert(filter[7] == 0);
	if (filter[0] == 0 && filter[6] == 0) {
	return WIENER_WIN_REDUCED;
	}
	return WIENER_WIN;
	}

	// Wiener filter 2D
	// Apply horizontal filter and store in a temporary buffer. When applying
	// vertical filter, overwrite the original pixel values.
	void av1_wiener_convolve_add_src_neon(const uint8_t *src, ptrdiff_t src_stride,
	uint8_t *dst, ptrdiff_t dst_stride,
	const int16_t *x_filter, int x_step_q4,
	const int16_t *y_filter, int y_step_q4,
	int w, int h,
	const WienerConvolveParams *conv_params) {
	(void)x_step_q4;
	(void)y_step_q4;
	(void)conv_params;

	assert(w % 8 == 0);
	assert(w <= MAX_SB_SIZE && h <= MAX_SB_SIZE);
	assert(x_step_q4 == 16 && y_step_q4 == 16);
	assert(x_filter[7] == 0 && y_filter[7] == 0);
	// For bd == 8, assert horizontal filtering output will not exceed 15-bit:
	assert(8 + 1 + FILTER_BITS - conv_params->round_0 <= 15);

	DECLARE_ALIGNED(16, uint16_t,
	im_block[(MAX_SB_SIZE + WIENER_WIN - 1) * MAX_SB_SIZE]);

	const int x_filter_taps = get_wiener_filter_taps(x_filter);
	const int y_filter_taps = get_wiener_filter_taps(y_filter);
	int16x4_t x_filter_s16 = vld1_s16(x_filter);
	int16x4_t y_filter_s16 = vld1_s16(y_filter);
	// Add 128 to tap 3. (Needed for rounding.)
	x_filter_s16 = vadd_s16(x_filter_s16, vcreate_s16(128ULL << 48));
	y_filter_s16 = vadd_s16(y_filter_s16, vcreate_s16(128ULL << 48));

	const int im_stride = MAX_SB_SIZE;
	const int im_h = h + y_filter_taps - 1;
	const int horiz_offset = x_filter_taps / 2;
	const int vert_offset = (y_filter_taps / 2) * (int)src_stride;

	const int bd = 8;
	const uint16x8_t im_max_val =
	vdupq_n_u16((1 << (bd + 1 + FILTER_BITS - WIENER_ROUND0_BITS)) - 1);
	const int32x4_t horiz_round_vec = vdupq_n_s32(1 << (bd + FILTER_BITS - 1));

	const int32x4_t vert_round_vec =
	vdupq_n_s32((1 << (2 * FILTER_BITS - WIENER_ROUND0_BITS - 1)) -
	(1 << (bd + (2 * FILTER_BITS - WIENER_ROUND0_BITS) - 1)));

	if (x_filter_taps == WIENER_WIN_REDUCED) {
	convolve_add_src_horiz_5tap_neon(src - horiz_offset - vert_offset,
	src_stride, im_block, im_stride, w, im_h,
	x_filter_s16, horiz_round_vec, im_max_val);
	} else {
	convolve_add_src_horiz_7tap_neon(src - horiz_offset - vert_offset,
	src_stride, im_block, im_stride, w, im_h,
	x_filter_s16, horiz_round_vec, im_max_val);
	}

	if (y_filter_taps == WIENER_WIN_REDUCED) {
	convolve_add_src_vert_5tap_neon(im_block, im_stride, dst, dst_stride, w, h,
	y_filter_s16, vert_round_vec);
	} else {
	convolve_add_src_vert_7tap_neon(im_block, im_stride, dst, dst_stride, w, h,
	y_filter_s16, vert_round_vec);
	}
	}