| /* |
| * 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 AOM_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); |
| } |
| } |