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Diffstat (limited to 'src/dsp/arm/loop_restoration_neon.cc')
| -rw-r--r-- | src/dsp/arm/loop_restoration_neon.cc | 1901 |
1 files changed, 1901 insertions, 0 deletions
diff --git a/src/dsp/arm/loop_restoration_neon.cc b/src/dsp/arm/loop_restoration_neon.cc new file mode 100644 index 0000000..337c9b4 --- /dev/null +++ b/src/dsp/arm/loop_restoration_neon.cc @@ -0,0 +1,1901 @@ +// Copyright 2019 The libgav1 Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "src/dsp/loop_restoration.h" +#include "src/utils/cpu.h" + +#if LIBGAV1_ENABLE_NEON +#include <arm_neon.h> + +#include <algorithm> +#include <cassert> +#include <cstddef> +#include <cstdint> +#include <cstring> + +#include "src/dsp/arm/common_neon.h" +#include "src/dsp/constants.h" +#include "src/dsp/dsp.h" +#include "src/utils/common.h" +#include "src/utils/constants.h" + +namespace libgav1 { +namespace dsp { +namespace low_bitdepth { +namespace { + +template <int bytes> +inline uint8x8_t VshrU128(const uint8x8x2_t src) { + return vext_u8(src.val[0], src.val[1], bytes); +} + +template <int bytes> +inline uint16x8_t VshrU128(const uint16x8x2_t src) { + return vextq_u16(src.val[0], src.val[1], bytes / 2); +} + +// Wiener + +// Must make a local copy of coefficients to help compiler know that they have +// no overlap with other buffers. Using 'const' keyword is not enough. Actually +// compiler doesn't make a copy, since there is enough registers in this case. +inline void PopulateWienerCoefficients( + const RestorationUnitInfo& restoration_info, const int direction, + int16_t filter[4]) { + // In order to keep the horizontal pass intermediate values within 16 bits we + // offset |filter[3]| by 128. The 128 offset will be added back in the loop. + for (int i = 0; i < 4; ++i) { + filter[i] = restoration_info.wiener_info.filter[direction][i]; + } + if (direction == WienerInfo::kHorizontal) { + filter[3] -= 128; + } +} + +inline int16x8_t WienerHorizontal2(const uint8x8_t s0, const uint8x8_t s1, + const int16_t filter, const int16x8_t sum) { + const int16x8_t ss = vreinterpretq_s16_u16(vaddl_u8(s0, s1)); + return vmlaq_n_s16(sum, ss, filter); +} + +inline int16x8x2_t WienerHorizontal2(const uint8x16_t s0, const uint8x16_t s1, + const int16_t filter, + const int16x8x2_t sum) { + int16x8x2_t d; + d.val[0] = + WienerHorizontal2(vget_low_u8(s0), vget_low_u8(s1), filter, sum.val[0]); + d.val[1] = + WienerHorizontal2(vget_high_u8(s0), vget_high_u8(s1), filter, sum.val[1]); + return d; +} + +inline void WienerHorizontalSum(const uint8x8_t s[3], const int16_t filter[4], + int16x8_t sum, int16_t* const wiener_buffer) { + constexpr int offset = + 1 << (8 + kWienerFilterBits - kInterRoundBitsHorizontal - 1); + constexpr int limit = (offset << 2) - 1; + const int16x8_t s_0_2 = vreinterpretq_s16_u16(vaddl_u8(s[0], s[2])); + const int16x8_t s_1 = ZeroExtend(s[1]); + sum = vmlaq_n_s16(sum, s_0_2, filter[2]); + sum = vmlaq_n_s16(sum, s_1, filter[3]); + // Calculate scaled down offset correction, and add to sum here to prevent + // signed 16 bit outranging. + sum = vrsraq_n_s16(vshlq_n_s16(s_1, 7 - kInterRoundBitsHorizontal), sum, + kInterRoundBitsHorizontal); + sum = vmaxq_s16(sum, vdupq_n_s16(-offset)); + sum = vminq_s16(sum, vdupq_n_s16(limit - offset)); + vst1q_s16(wiener_buffer, sum); +} + +inline void WienerHorizontalSum(const uint8x16_t src[3], + const int16_t filter[4], int16x8x2_t sum, + int16_t* const wiener_buffer) { + uint8x8_t s[3]; + s[0] = vget_low_u8(src[0]); + s[1] = vget_low_u8(src[1]); + s[2] = vget_low_u8(src[2]); + WienerHorizontalSum(s, filter, sum.val[0], wiener_buffer); + s[0] = vget_high_u8(src[0]); + s[1] = vget_high_u8(src[1]); + s[2] = vget_high_u8(src[2]); + WienerHorizontalSum(s, filter, sum.val[1], wiener_buffer + 8); +} + +inline void WienerHorizontalTap7(const uint8_t* src, const ptrdiff_t src_stride, + const ptrdiff_t width, const int height, + const int16_t filter[4], + int16_t** const wiener_buffer) { + for (int y = height; y != 0; --y) { + const uint8_t* src_ptr = src; + uint8x16_t s[8]; + s[0] = vld1q_u8(src_ptr); + ptrdiff_t x = width; + do { + src_ptr += 16; + s[7] = vld1q_u8(src_ptr); + s[1] = vextq_u8(s[0], s[7], 1); + s[2] = vextq_u8(s[0], s[7], 2); + s[3] = vextq_u8(s[0], s[7], 3); + s[4] = vextq_u8(s[0], s[7], 4); + s[5] = vextq_u8(s[0], s[7], 5); + s[6] = vextq_u8(s[0], s[7], 6); + int16x8x2_t sum; + sum.val[0] = sum.val[1] = vdupq_n_s16(0); + sum = WienerHorizontal2(s[0], s[6], filter[0], sum); + sum = WienerHorizontal2(s[1], s[5], filter[1], sum); + WienerHorizontalSum(s + 2, filter, sum, *wiener_buffer); + s[0] = s[7]; + *wiener_buffer += 16; + x -= 16; + } while (x != 0); + src += src_stride; + } +} + +inline void WienerHorizontalTap5(const uint8_t* src, const ptrdiff_t src_stride, + const ptrdiff_t width, const int height, + const int16_t filter[4], + int16_t** const wiener_buffer) { + for (int y = height; y != 0; --y) { + const uint8_t* src_ptr = src; + uint8x16_t s[6]; + s[0] = vld1q_u8(src_ptr); + ptrdiff_t x = width; + do { + src_ptr += 16; + s[5] = vld1q_u8(src_ptr); + s[1] = vextq_u8(s[0], s[5], 1); + s[2] = vextq_u8(s[0], s[5], 2); + s[3] = vextq_u8(s[0], s[5], 3); + s[4] = vextq_u8(s[0], s[5], 4); + int16x8x2_t sum; + sum.val[0] = sum.val[1] = vdupq_n_s16(0); + sum = WienerHorizontal2(s[0], s[4], filter[1], sum); + WienerHorizontalSum(s + 1, filter, sum, *wiener_buffer); + s[0] = s[5]; + *wiener_buffer += 16; + x -= 16; + } while (x != 0); + src += src_stride; + } +} + +inline void WienerHorizontalTap3(const uint8_t* src, const ptrdiff_t src_stride, + const ptrdiff_t width, const int height, + const int16_t filter[4], + int16_t** const wiener_buffer) { + for (int y = height; y != 0; --y) { + const uint8_t* src_ptr = src; + uint8x16_t s[4]; + s[0] = vld1q_u8(src_ptr); + ptrdiff_t x = width; + do { + src_ptr += 16; + s[3] = vld1q_u8(src_ptr); + s[1] = vextq_u8(s[0], s[3], 1); + s[2] = vextq_u8(s[0], s[3], 2); + int16x8x2_t sum; + sum.val[0] = sum.val[1] = vdupq_n_s16(0); + WienerHorizontalSum(s, filter, sum, *wiener_buffer); + s[0] = s[3]; + *wiener_buffer += 16; + x -= 16; + } while (x != 0); + src += src_stride; + } +} + +inline void WienerHorizontalTap1(const uint8_t* src, const ptrdiff_t src_stride, + const ptrdiff_t width, const int height, + int16_t** const wiener_buffer) { + for (int y = height; y != 0; --y) { + const uint8_t* src_ptr = src; + ptrdiff_t x = width; + do { + const uint8x16_t s = vld1q_u8(src_ptr); + const uint8x8_t s0 = vget_low_u8(s); + const uint8x8_t s1 = vget_high_u8(s); + const int16x8_t d0 = vreinterpretq_s16_u16(vshll_n_u8(s0, 4)); + const int16x8_t d1 = vreinterpretq_s16_u16(vshll_n_u8(s1, 4)); + vst1q_s16(*wiener_buffer + 0, d0); + vst1q_s16(*wiener_buffer + 8, d1); + src_ptr += 16; + *wiener_buffer += 16; + x -= 16; + } while (x != 0); + src += src_stride; + } +} + +inline int32x4x2_t WienerVertical2(const int16x8_t a0, const int16x8_t a1, + const int16_t filter, + const int32x4x2_t sum) { + const int16x8_t a = vaddq_s16(a0, a1); + int32x4x2_t d; + d.val[0] = vmlal_n_s16(sum.val[0], vget_low_s16(a), filter); + d.val[1] = vmlal_n_s16(sum.val[1], vget_high_s16(a), filter); + return d; +} + +inline uint8x8_t WienerVertical(const int16x8_t a[3], const int16_t filter[4], + const int32x4x2_t sum) { + int32x4x2_t d = WienerVertical2(a[0], a[2], filter[2], sum); + d.val[0] = vmlal_n_s16(d.val[0], vget_low_s16(a[1]), filter[3]); + d.val[1] = vmlal_n_s16(d.val[1], vget_high_s16(a[1]), filter[3]); + const uint16x4_t sum_lo_16 = vqrshrun_n_s32(d.val[0], 11); + const uint16x4_t sum_hi_16 = vqrshrun_n_s32(d.val[1], 11); + return vqmovn_u16(vcombine_u16(sum_lo_16, sum_hi_16)); +} + +inline uint8x8_t WienerVerticalTap7Kernel(const int16_t* const wiener_buffer, + const ptrdiff_t wiener_stride, + const int16_t filter[4], + int16x8_t a[7]) { + int32x4x2_t sum; + a[0] = vld1q_s16(wiener_buffer + 0 * wiener_stride); + a[1] = vld1q_s16(wiener_buffer + 1 * wiener_stride); + a[5] = vld1q_s16(wiener_buffer + 5 * wiener_stride); + a[6] = vld1q_s16(wiener_buffer + 6 * wiener_stride); + sum.val[0] = sum.val[1] = vdupq_n_s32(0); + sum = WienerVertical2(a[0], a[6], filter[0], sum); + sum = WienerVertical2(a[1], a[5], filter[1], sum); + a[2] = vld1q_s16(wiener_buffer + 2 * wiener_stride); + a[3] = vld1q_s16(wiener_buffer + 3 * wiener_stride); + a[4] = vld1q_s16(wiener_buffer + 4 * wiener_stride); + return WienerVertical(a + 2, filter, sum); +} + +inline uint8x8x2_t WienerVerticalTap7Kernel2(const int16_t* const wiener_buffer, + const ptrdiff_t wiener_stride, + const int16_t filter[4]) { + int16x8_t a[8]; + int32x4x2_t sum; + uint8x8x2_t d; + d.val[0] = WienerVerticalTap7Kernel(wiener_buffer, wiener_stride, filter, a); + a[7] = vld1q_s16(wiener_buffer + 7 * wiener_stride); + sum.val[0] = sum.val[1] = vdupq_n_s32(0); + sum = WienerVertical2(a[1], a[7], filter[0], sum); + sum = WienerVertical2(a[2], a[6], filter[1], sum); + d.val[1] = WienerVertical(a + 3, filter, sum); + return d; +} + +inline void WienerVerticalTap7(const int16_t* wiener_buffer, + const ptrdiff_t width, const int height, + const int16_t filter[4], uint8_t* dst, + const ptrdiff_t dst_stride) { + for (int y = height >> 1; y != 0; --y) { + uint8_t* dst_ptr = dst; + ptrdiff_t x = width; + do { + uint8x8x2_t d[2]; + d[0] = WienerVerticalTap7Kernel2(wiener_buffer + 0, width, filter); + d[1] = WienerVerticalTap7Kernel2(wiener_buffer + 8, width, filter); + vst1q_u8(dst_ptr, vcombine_u8(d[0].val[0], d[1].val[0])); + vst1q_u8(dst_ptr + dst_stride, vcombine_u8(d[0].val[1], d[1].val[1])); + wiener_buffer += 16; + dst_ptr += 16; + x -= 16; + } while (x != 0); + wiener_buffer += width; + dst += 2 * dst_stride; + } + + if ((height & 1) != 0) { + ptrdiff_t x = width; + do { + int16x8_t a[7]; + const uint8x8_t d0 = + WienerVerticalTap7Kernel(wiener_buffer + 0, width, filter, a); + const uint8x8_t d1 = + WienerVerticalTap7Kernel(wiener_buffer + 8, width, filter, a); + vst1q_u8(dst, vcombine_u8(d0, d1)); + wiener_buffer += 16; + dst += 16; + x -= 16; + } while (x != 0); + } +} + +inline uint8x8_t WienerVerticalTap5Kernel(const int16_t* const wiener_buffer, + const ptrdiff_t wiener_stride, + const int16_t filter[4], + int16x8_t a[5]) { + a[0] = vld1q_s16(wiener_buffer + 0 * wiener_stride); + a[1] = vld1q_s16(wiener_buffer + 1 * wiener_stride); + a[2] = vld1q_s16(wiener_buffer + 2 * wiener_stride); + a[3] = vld1q_s16(wiener_buffer + 3 * wiener_stride); + a[4] = vld1q_s16(wiener_buffer + 4 * wiener_stride); + int32x4x2_t sum; + sum.val[0] = sum.val[1] = vdupq_n_s32(0); + sum = WienerVertical2(a[0], a[4], filter[1], sum); + return WienerVertical(a + 1, filter, sum); +} + +inline uint8x8x2_t WienerVerticalTap5Kernel2(const int16_t* const wiener_buffer, + const ptrdiff_t wiener_stride, + const int16_t filter[4]) { + int16x8_t a[6]; + int32x4x2_t sum; + uint8x8x2_t d; + d.val[0] = WienerVerticalTap5Kernel(wiener_buffer, wiener_stride, filter, a); + a[5] = vld1q_s16(wiener_buffer + 5 * wiener_stride); + sum.val[0] = sum.val[1] = vdupq_n_s32(0); + sum = WienerVertical2(a[1], a[5], filter[1], sum); + d.val[1] = WienerVertical(a + 2, filter, sum); + return d; +} + +inline void WienerVerticalTap5(const int16_t* wiener_buffer, + const ptrdiff_t width, const int height, + const int16_t filter[4], uint8_t* dst, + const ptrdiff_t dst_stride) { + for (int y = height >> 1; y != 0; --y) { + uint8_t* dst_ptr = dst; + ptrdiff_t x = width; + do { + uint8x8x2_t d[2]; + d[0] = WienerVerticalTap5Kernel2(wiener_buffer + 0, width, filter); + d[1] = WienerVerticalTap5Kernel2(wiener_buffer + 8, width, filter); + vst1q_u8(dst_ptr, vcombine_u8(d[0].val[0], d[1].val[0])); + vst1q_u8(dst_ptr + dst_stride, vcombine_u8(d[0].val[1], d[1].val[1])); + wiener_buffer += 16; + dst_ptr += 16; + x -= 16; + } while (x != 0); + wiener_buffer += width; + dst += 2 * dst_stride; + } + + if ((height & 1) != 0) { + ptrdiff_t x = width; + do { + int16x8_t a[5]; + const uint8x8_t d0 = + WienerVerticalTap5Kernel(wiener_buffer + 0, width, filter, a); + const uint8x8_t d1 = + WienerVerticalTap5Kernel(wiener_buffer + 8, width, filter, a); + vst1q_u8(dst, vcombine_u8(d0, d1)); + wiener_buffer += 16; + dst += 16; + x -= 16; + } while (x != 0); + } +} + +inline uint8x8_t WienerVerticalTap3Kernel(const int16_t* const wiener_buffer, + const ptrdiff_t wiener_stride, + const int16_t filter[4], + int16x8_t a[3]) { + a[0] = vld1q_s16(wiener_buffer + 0 * wiener_stride); + a[1] = vld1q_s16(wiener_buffer + 1 * wiener_stride); + a[2] = vld1q_s16(wiener_buffer + 2 * wiener_stride); + int32x4x2_t sum; + sum.val[0] = sum.val[1] = vdupq_n_s32(0); + return WienerVertical(a, filter, sum); +} + +inline uint8x8x2_t WienerVerticalTap3Kernel2(const int16_t* const wiener_buffer, + const ptrdiff_t wiener_stride, + const int16_t filter[4]) { + int16x8_t a[4]; + int32x4x2_t sum; + uint8x8x2_t d; + d.val[0] = WienerVerticalTap3Kernel(wiener_buffer, wiener_stride, filter, a); + a[3] = vld1q_s16(wiener_buffer + 3 * wiener_stride); + sum.val[0] = sum.val[1] = vdupq_n_s32(0); + d.val[1] = WienerVertical(a + 1, filter, sum); + return d; +} + +inline void WienerVerticalTap3(const int16_t* wiener_buffer, + const ptrdiff_t width, const int height, + const int16_t filter[4], uint8_t* dst, + const ptrdiff_t dst_stride) { + for (int y = height >> 1; y != 0; --y) { + uint8_t* dst_ptr = dst; + ptrdiff_t x = width; + do { + uint8x8x2_t d[2]; + d[0] = WienerVerticalTap3Kernel2(wiener_buffer + 0, width, filter); + d[1] = WienerVerticalTap3Kernel2(wiener_buffer + 8, width, filter); + vst1q_u8(dst_ptr, vcombine_u8(d[0].val[0], d[1].val[0])); + vst1q_u8(dst_ptr + dst_stride, vcombine_u8(d[0].val[1], d[1].val[1])); + wiener_buffer += 16; + dst_ptr += 16; + x -= 16; + } while (x != 0); + wiener_buffer += width; + dst += 2 * dst_stride; + } + + if ((height & 1) != 0) { + ptrdiff_t x = width; + do { + int16x8_t a[3]; + const uint8x8_t d0 = + WienerVerticalTap3Kernel(wiener_buffer + 0, width, filter, a); + const uint8x8_t d1 = + WienerVerticalTap3Kernel(wiener_buffer + 8, width, filter, a); + vst1q_u8(dst, vcombine_u8(d0, d1)); + wiener_buffer += 16; + dst += 16; + x -= 16; + } while (x != 0); + } +} + +inline void WienerVerticalTap1Kernel(const int16_t* const wiener_buffer, + uint8_t* const dst) { + const int16x8_t a0 = vld1q_s16(wiener_buffer + 0); + const int16x8_t a1 = vld1q_s16(wiener_buffer + 8); + const uint8x8_t d0 = vqrshrun_n_s16(a0, 4); + const uint8x8_t d1 = vqrshrun_n_s16(a1, 4); + vst1q_u8(dst, vcombine_u8(d0, d1)); +} + +inline void WienerVerticalTap1(const int16_t* wiener_buffer, + const ptrdiff_t width, const int height, + uint8_t* dst, const ptrdiff_t dst_stride) { + for (int y = height >> 1; y != 0; --y) { + uint8_t* dst_ptr = dst; + ptrdiff_t x = width; + do { + WienerVerticalTap1Kernel(wiener_buffer, dst_ptr); + WienerVerticalTap1Kernel(wiener_buffer + width, dst_ptr + dst_stride); + wiener_buffer += 16; + dst_ptr += 16; + x -= 16; + } while (x != 0); + wiener_buffer += width; + dst += 2 * dst_stride; + } + + if ((height & 1) != 0) { + ptrdiff_t x = width; + do { + WienerVerticalTap1Kernel(wiener_buffer, dst); + wiener_buffer += 16; + dst += 16; + x -= 16; + } while (x != 0); + } +} + +// For width 16 and up, store the horizontal results, and then do the vertical +// filter row by row. This is faster than doing it column by column when +// considering cache issues. +void WienerFilter_NEON(const RestorationUnitInfo& restoration_info, + const void* const source, const void* const top_border, + const void* const bottom_border, const ptrdiff_t stride, + const int width, const int height, + RestorationBuffer* const restoration_buffer, + void* const dest) { + const int16_t* const number_leading_zero_coefficients = + restoration_info.wiener_info.number_leading_zero_coefficients; + const int number_rows_to_skip = std::max( + static_cast<int>(number_leading_zero_coefficients[WienerInfo::kVertical]), + 1); + const ptrdiff_t wiener_stride = Align(width, 16); + int16_t* const wiener_buffer_vertical = restoration_buffer->wiener_buffer; + // The values are saturated to 13 bits before storing. + int16_t* wiener_buffer_horizontal = + wiener_buffer_vertical + number_rows_to_skip * wiener_stride; + int16_t filter_horizontal[(kWienerFilterTaps + 1) / 2]; + int16_t filter_vertical[(kWienerFilterTaps + 1) / 2]; + PopulateWienerCoefficients(restoration_info, WienerInfo::kHorizontal, + filter_horizontal); + PopulateWienerCoefficients(restoration_info, WienerInfo::kVertical, + filter_vertical); + + // horizontal filtering. + // Over-reads up to 15 - |kRestorationHorizontalBorder| values. + const int height_horizontal = + height + kWienerFilterTaps - 1 - 2 * number_rows_to_skip; + const int height_extra = (height_horizontal - height) >> 1; + assert(height_extra <= 2); + const auto* const src = static_cast<const uint8_t*>(source); + const auto* const top = static_cast<const uint8_t*>(top_border); + const auto* const bottom = static_cast<const uint8_t*>(bottom_border); + if (number_leading_zero_coefficients[WienerInfo::kHorizontal] == 0) { + WienerHorizontalTap7(top + (2 - height_extra) * stride - 3, stride, + wiener_stride, height_extra, filter_horizontal, + &wiener_buffer_horizontal); + WienerHorizontalTap7(src - 3, stride, wiener_stride, height, + filter_horizontal, &wiener_buffer_horizontal); + WienerHorizontalTap7(bottom - 3, stride, wiener_stride, height_extra, + filter_horizontal, &wiener_buffer_horizontal); + } else if (number_leading_zero_coefficients[WienerInfo::kHorizontal] == 1) { + WienerHorizontalTap5(top + (2 - height_extra) * stride - 2, stride, + wiener_stride, height_extra, filter_horizontal, + &wiener_buffer_horizontal); + WienerHorizontalTap5(src - 2, stride, wiener_stride, height, + filter_horizontal, &wiener_buffer_horizontal); + WienerHorizontalTap5(bottom - 2, stride, wiener_stride, height_extra, + filter_horizontal, &wiener_buffer_horizontal); + } else if (number_leading_zero_coefficients[WienerInfo::kHorizontal] == 2) { + // The maximum over-reads happen here. + WienerHorizontalTap3(top + (2 - height_extra) * stride - 1, stride, + wiener_stride, height_extra, filter_horizontal, + &wiener_buffer_horizontal); + WienerHorizontalTap3(src - 1, stride, wiener_stride, height, + filter_horizontal, &wiener_buffer_horizontal); + WienerHorizontalTap3(bottom - 1, stride, wiener_stride, height_extra, + filter_horizontal, &wiener_buffer_horizontal); + } else { + assert(number_leading_zero_coefficients[WienerInfo::kHorizontal] == 3); + WienerHorizontalTap1(top + (2 - height_extra) * stride, stride, + wiener_stride, height_extra, + &wiener_buffer_horizontal); + WienerHorizontalTap1(src, stride, wiener_stride, height, + &wiener_buffer_horizontal); + WienerHorizontalTap1(bottom, stride, wiener_stride, height_extra, + &wiener_buffer_horizontal); + } + + // vertical filtering. + // Over-writes up to 15 values. + auto* dst = static_cast<uint8_t*>(dest); + if (number_leading_zero_coefficients[WienerInfo::kVertical] == 0) { + // Because the top row of |source| is a duplicate of the second row, and the + // bottom row of |source| is a duplicate of its above row, we can duplicate + // the top and bottom row of |wiener_buffer| accordingly. + memcpy(wiener_buffer_horizontal, wiener_buffer_horizontal - wiener_stride, + sizeof(*wiener_buffer_horizontal) * wiener_stride); + memcpy(restoration_buffer->wiener_buffer, + restoration_buffer->wiener_buffer + wiener_stride, + sizeof(*restoration_buffer->wiener_buffer) * wiener_stride); + WienerVerticalTap7(wiener_buffer_vertical, wiener_stride, height, + filter_vertical, dst, stride); + } else if (number_leading_zero_coefficients[WienerInfo::kVertical] == 1) { + WienerVerticalTap5(wiener_buffer_vertical + wiener_stride, wiener_stride, + height, filter_vertical, dst, stride); + } else if (number_leading_zero_coefficients[WienerInfo::kVertical] == 2) { + WienerVerticalTap3(wiener_buffer_vertical + 2 * wiener_stride, + wiener_stride, height, filter_vertical, dst, stride); + } else { + assert(number_leading_zero_coefficients[WienerInfo::kVertical] == 3); + WienerVerticalTap1(wiener_buffer_vertical + 3 * wiener_stride, + wiener_stride, height, dst, stride); + } +} + +//------------------------------------------------------------------------------ +// SGR + +inline void Prepare3_8(const uint8x8x2_t src, uint8x8_t dst[3]) { + dst[0] = VshrU128<0>(src); + dst[1] = VshrU128<1>(src); + dst[2] = VshrU128<2>(src); +} + +inline void Prepare3_16(const uint16x8x2_t src, uint16x4_t low[3], + uint16x4_t high[3]) { + uint16x8_t s[3]; + s[0] = VshrU128<0>(src); + s[1] = VshrU128<2>(src); + s[2] = VshrU128<4>(src); + low[0] = vget_low_u16(s[0]); + low[1] = vget_low_u16(s[1]); + low[2] = vget_low_u16(s[2]); + high[0] = vget_high_u16(s[0]); + high[1] = vget_high_u16(s[1]); + high[2] = vget_high_u16(s[2]); +} + +inline void Prepare5_8(const uint8x8x2_t src, uint8x8_t dst[5]) { + dst[0] = VshrU128<0>(src); + dst[1] = VshrU128<1>(src); + dst[2] = VshrU128<2>(src); + dst[3] = VshrU128<3>(src); + dst[4] = VshrU128<4>(src); +} + +inline void Prepare5_16(const uint16x8x2_t src, uint16x4_t low[5], + uint16x4_t high[5]) { + Prepare3_16(src, low, high); + const uint16x8_t s3 = VshrU128<6>(src); + const uint16x8_t s4 = VshrU128<8>(src); + low[3] = vget_low_u16(s3); + low[4] = vget_low_u16(s4); + high[3] = vget_high_u16(s3); + high[4] = vget_high_u16(s4); +} + +inline uint16x8_t Sum3_16(const uint16x8_t src0, const uint16x8_t src1, + const uint16x8_t src2) { + const uint16x8_t sum = vaddq_u16(src0, src1); + return vaddq_u16(sum, src2); +} + +inline uint16x8_t Sum3_16(const uint16x8_t src[3]) { + return Sum3_16(src[0], src[1], src[2]); +} + +inline uint32x4_t Sum3_32(const uint32x4_t src0, const uint32x4_t src1, + const uint32x4_t src2) { + const uint32x4_t sum = vaddq_u32(src0, src1); + return vaddq_u32(sum, src2); +} + +inline uint32x4x2_t Sum3_32(const uint32x4x2_t src[3]) { + uint32x4x2_t d; + d.val[0] = Sum3_32(src[0].val[0], src[1].val[0], src[2].val[0]); + d.val[1] = Sum3_32(src[0].val[1], src[1].val[1], src[2].val[1]); + return d; +} + +inline uint16x8_t Sum3W_16(const uint8x8_t src[3]) { + const uint16x8_t sum = vaddl_u8(src[0], src[1]); + return vaddw_u8(sum, src[2]); +} + +inline uint32x4_t Sum3W_32(const uint16x4_t src[3]) { + const uint32x4_t sum = vaddl_u16(src[0], src[1]); + return vaddw_u16(sum, src[2]); +} + +inline uint16x8_t Sum5_16(const uint16x8_t src[5]) { + const uint16x8_t sum01 = vaddq_u16(src[0], src[1]); + const uint16x8_t sum23 = vaddq_u16(src[2], src[3]); + const uint16x8_t sum = vaddq_u16(sum01, sum23); + return vaddq_u16(sum, src[4]); +} + +inline uint32x4_t Sum5_32(const uint32x4_t src0, const uint32x4_t src1, + const uint32x4_t src2, const uint32x4_t src3, + const uint32x4_t src4) { + const uint32x4_t sum01 = vaddq_u32(src0, src1); + const uint32x4_t sum23 = vaddq_u32(src2, src3); + const uint32x4_t sum = vaddq_u32(sum01, sum23); + return vaddq_u32(sum, src4); +} + +inline uint32x4x2_t Sum5_32(const uint32x4x2_t src[5]) { + uint32x4x2_t d; + d.val[0] = Sum5_32(src[0].val[0], src[1].val[0], src[2].val[0], src[3].val[0], + src[4].val[0]); + d.val[1] = Sum5_32(src[0].val[1], src[1].val[1], src[2].val[1], src[3].val[1], + src[4].val[1]); + return d; +} + +inline uint32x4_t Sum5W_32(const uint16x4_t src[5]) { + const uint32x4_t sum01 = vaddl_u16(src[0], src[1]); + const uint32x4_t sum23 = vaddl_u16(src[2], src[3]); + const uint32x4_t sum0123 = vaddq_u32(sum01, sum23); + return vaddw_u16(sum0123, src[4]); +} + +inline uint16x8_t Sum3Horizontal(const uint8x8x2_t src) { + uint8x8_t s[3]; + Prepare3_8(src, s); + return Sum3W_16(s); +} + +inline uint32x4x2_t Sum3WHorizontal(const uint16x8x2_t src) { + uint16x4_t low[3], high[3]; + uint32x4x2_t sum; + Prepare3_16(src, low, high); + sum.val[0] = Sum3W_32(low); + sum.val[1] = Sum3W_32(high); + return sum; +} + +inline uint16x8_t Sum5Horizontal(const uint8x8x2_t src) { + uint8x8_t s[5]; + Prepare5_8(src, s); + const uint16x8_t sum01 = vaddl_u8(s[0], s[1]); + const uint16x8_t sum23 = vaddl_u8(s[2], s[3]); + const uint16x8_t sum0123 = vaddq_u16(sum01, sum23); + return vaddw_u8(sum0123, s[4]); +} + +inline uint32x4x2_t Sum5WHorizontal(const uint16x8x2_t src) { + uint16x4_t low[5], high[5]; + Prepare5_16(src, low, high); + uint32x4x2_t sum; + sum.val[0] = Sum5W_32(low); + sum.val[1] = Sum5W_32(high); + return sum; +} + +void SumHorizontal(const uint16x4_t src[5], uint32x4_t* const row_sq3, + uint32x4_t* const row_sq5) { + const uint32x4_t sum04 = vaddl_u16(src[0], src[4]); + const uint32x4_t sum12 = vaddl_u16(src[1], src[2]); + *row_sq3 = vaddw_u16(sum12, src[3]); + *row_sq5 = vaddq_u32(sum04, *row_sq3); +} + +void SumHorizontal(const uint8x8x2_t src, const uint16x8x2_t sq, + uint16x8_t* const row3, uint16x8_t* const row5, + uint32x4x2_t* const row_sq3, uint32x4x2_t* const row_sq5) { + uint8x8_t s[5]; + Prepare5_8(src, s); + const uint16x8_t sum04 = vaddl_u8(s[0], s[4]); + const uint16x8_t sum12 = vaddl_u8(s[1], s[2]); + *row3 = vaddw_u8(sum12, s[3]); + *row5 = vaddq_u16(sum04, *row3); + uint16x4_t low[5], high[5]; + Prepare5_16(sq, low, high); + SumHorizontal(low, &row_sq3->val[0], &row_sq5->val[0]); + SumHorizontal(high, &row_sq3->val[1], &row_sq5->val[1]); +} + +inline uint16x8_t Sum343(const uint8x8x2_t src) { + uint8x8_t s[3]; + Prepare3_8(src, s); + const uint16x8_t sum = Sum3W_16(s); + const uint16x8_t sum3 = Sum3_16(sum, sum, sum); + return vaddw_u8(sum3, s[1]); +} + +inline uint32x4_t Sum343W(const uint16x4_t src[3]) { + const uint32x4_t sum = Sum3W_32(src); + const uint32x4_t sum3 = Sum3_32(sum, sum, sum); + return vaddw_u16(sum3, src[1]); +} + +inline uint32x4x2_t Sum343W(const uint16x8x2_t src) { + uint16x4_t low[3], high[3]; + uint32x4x2_t d; + Prepare3_16(src, low, high); + d.val[0] = Sum343W(low); + d.val[1] = Sum343W(high); + return d; +} + +inline uint16x8_t Sum565(const uint8x8x2_t src) { + uint8x8_t s[3]; + Prepare3_8(src, s); + const uint16x8_t sum = Sum3W_16(s); + const uint16x8_t sum4 = vshlq_n_u16(sum, 2); + const uint16x8_t sum5 = vaddq_u16(sum4, sum); + return vaddw_u8(sum5, s[1]); +} + +inline uint32x4_t Sum565W(const uint16x4_t src[3]) { + const uint32x4_t sum = Sum3W_32(src); + const uint32x4_t sum4 = vshlq_n_u32(sum, 2); + const uint32x4_t sum5 = vaddq_u32(sum4, sum); + return vaddw_u16(sum5, src[1]); +} + +inline uint32x4x2_t Sum565W(const uint16x8x2_t src) { + uint16x4_t low[3], high[3]; + uint32x4x2_t d; + Prepare3_16(src, low, high); + d.val[0] = Sum565W(low); + d.val[1] = Sum565W(high); + return d; +} + +inline void BoxSum(const uint8_t* src, const ptrdiff_t src_stride, + const int height, const ptrdiff_t sum_stride, uint16_t* sum3, + uint16_t* sum5, uint32_t* square_sum3, + uint32_t* square_sum5) { + int y = height; + do { + uint8x8x2_t s; + uint16x8x2_t sq; + s.val[0] = vld1_u8(src); + sq.val[0] = vmull_u8(s.val[0], s.val[0]); + ptrdiff_t x = 0; + do { + uint16x8_t row3, row5; + uint32x4x2_t row_sq3, row_sq5; + s.val[1] = vld1_u8(src + x + 8); + sq.val[1] = vmull_u8(s.val[1], s.val[1]); + SumHorizontal(s, sq, &row3, &row5, &row_sq3, &row_sq5); + vst1q_u16(sum3, row3); + vst1q_u16(sum5, row5); + vst1q_u32(square_sum3 + 0, row_sq3.val[0]); + vst1q_u32(square_sum3 + 4, row_sq3.val[1]); + vst1q_u32(square_sum5 + 0, row_sq5.val[0]); + vst1q_u32(square_sum5 + 4, row_sq5.val[1]); + s.val[0] = s.val[1]; + sq.val[0] = sq.val[1]; + sum3 += 8; + sum5 += 8; + square_sum3 += 8; + square_sum5 += 8; + x += 8; + } while (x < sum_stride); + src += src_stride; + } while (--y != 0); +} + +template <int size> +inline void BoxSum(const uint8_t* src, const ptrdiff_t src_stride, + const int height, const ptrdiff_t sum_stride, uint16_t* sums, + uint32_t* square_sums) { + static_assert(size == 3 || size == 5, ""); + int y = height; + do { + uint8x8x2_t s; + uint16x8x2_t sq; + s.val[0] = vld1_u8(src); + sq.val[0] = vmull_u8(s.val[0], s.val[0]); + ptrdiff_t x = 0; + do { + uint16x8_t row; + uint32x4x2_t row_sq; + s.val[1] = vld1_u8(src + x + 8); + sq.val[1] = vmull_u8(s.val[1], s.val[1]); + if (size == 3) { + row = Sum3Horizontal(s); + row_sq = Sum3WHorizontal(sq); + } else { + row = Sum5Horizontal(s); + row_sq = Sum5WHorizontal(sq); + } + vst1q_u16(sums, row); + vst1q_u32(square_sums + 0, row_sq.val[0]); + vst1q_u32(square_sums + 4, row_sq.val[1]); + s.val[0] = s.val[1]; + sq.val[0] = sq.val[1]; + sums += 8; + square_sums += 8; + x += 8; + } while (x < sum_stride); + src += src_stride; + } while (--y != 0); +} + +template <int n> +inline uint16x4_t CalculateMa(const uint16x4_t sum, const uint32x4_t sum_sq, + const uint32_t scale) { + // a = |sum_sq| + // d = |sum| + // p = (a * n < d * d) ? 0 : a * n - d * d; + const uint32x4_t dxd = vmull_u16(sum, sum); + const uint32x4_t axn = vmulq_n_u32(sum_sq, n); + // Ensure |p| does not underflow by using saturating subtraction. + const uint32x4_t p = vqsubq_u32(axn, dxd); + const uint32x4_t pxs = vmulq_n_u32(p, scale); + // vrshrn_n_u32() (narrowing shift) can only shift by 16 and kSgrProjScaleBits + // is 20. + const uint32x4_t shifted = vrshrq_n_u32(pxs, kSgrProjScaleBits); + return vmovn_u32(shifted); +} + +template <int n> +inline void CalculateIntermediate(const uint16x8_t sum, + const uint32x4x2_t sum_sq, + const uint32_t scale, uint8x8_t* const ma, + uint16x8_t* const b) { + constexpr uint32_t one_over_n = + ((1 << kSgrProjReciprocalBits) + (n >> 1)) / n; + const uint16x4_t z0 = CalculateMa<n>(vget_low_u16(sum), sum_sq.val[0], scale); + const uint16x4_t z1 = + CalculateMa<n>(vget_high_u16(sum), sum_sq.val[1], scale); + const uint16x8_t z01 = vcombine_u16(z0, z1); + // Using vqmovn_u16() needs an extra sign extension instruction. + const uint16x8_t z = vminq_u16(z01, vdupq_n_u16(255)); + // Using vgetq_lane_s16() can save the sign extension instruction. + const uint8_t lookup[8] = { + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 0)], + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 1)], + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 2)], + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 3)], + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 4)], + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 5)], + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 6)], + kSgrMaLookup[vgetq_lane_s16(vreinterpretq_s16_u16(z), 7)]}; + *ma = vld1_u8(lookup); + // b = ma * b * one_over_n + // |ma| = [0, 255] + // |sum| is a box sum with radius 1 or 2. + // For the first pass radius is 2. Maximum value is 5x5x255 = 6375. + // For the second pass radius is 1. Maximum value is 3x3x255 = 2295. + // |one_over_n| = ((1 << kSgrProjReciprocalBits) + (n >> 1)) / n + // When radius is 2 |n| is 25. |one_over_n| is 164. + // When radius is 1 |n| is 9. |one_over_n| is 455. + // |kSgrProjReciprocalBits| is 12. + // Radius 2: 255 * 6375 * 164 >> 12 = 65088 (16 bits). + // Radius 1: 255 * 2295 * 455 >> 12 = 65009 (16 bits). + const uint16x8_t maq = vmovl_u8(*ma); + const uint32x4_t m0 = vmull_u16(vget_low_u16(maq), vget_low_u16(sum)); + const uint32x4_t m1 = vmull_u16(vget_high_u16(maq), vget_high_u16(sum)); + const uint32x4_t m2 = vmulq_n_u32(m0, one_over_n); + const uint32x4_t m3 = vmulq_n_u32(m1, one_over_n); + const uint16x4_t b_lo = vrshrn_n_u32(m2, kSgrProjReciprocalBits); + const uint16x4_t b_hi = vrshrn_n_u32(m3, kSgrProjReciprocalBits); + *b = vcombine_u16(b_lo, b_hi); +} + +inline void CalculateIntermediate5(const uint16x8_t s5[5], + const uint32x4x2_t sq5[5], + const uint32_t scale, uint8x8_t* const ma, + uint16x8_t* const b) { + const uint16x8_t sum = Sum5_16(s5); + const uint32x4x2_t sum_sq = Sum5_32(sq5); + CalculateIntermediate<25>(sum, sum_sq, scale, ma, b); +} + +inline void CalculateIntermediate3(const uint16x8_t s3[3], + const uint32x4x2_t sq3[3], + const uint32_t scale, uint8x8_t* const ma, + uint16x8_t* const b) { + const uint16x8_t sum = Sum3_16(s3); + const uint32x4x2_t sum_sq = Sum3_32(sq3); + CalculateIntermediate<9>(sum, sum_sq, scale, ma, b); +} + +inline void Store343_444(const uint8x8x2_t ma3, const uint16x8x2_t b3, + const ptrdiff_t x, uint16x8_t* const sum_ma343, + uint16x8_t* const sum_ma444, + uint32x4x2_t* const sum_b343, + uint32x4x2_t* const sum_b444, uint16_t* const ma343, + uint16_t* const ma444, uint32_t* const b343, + uint32_t* const b444) { + uint8x8_t s[3]; + Prepare3_8(ma3, s); + const uint16x8_t sum_ma111 = Sum3W_16(s); + *sum_ma444 = vshlq_n_u16(sum_ma111, 2); + const uint16x8_t sum333 = vsubq_u16(*sum_ma444, sum_ma111); + *sum_ma343 = vaddw_u8(sum333, s[1]); + uint16x4_t low[3], high[3]; + uint32x4x2_t sum_b111; + Prepare3_16(b3, low, high); + sum_b111.val[0] = Sum3W_32(low); + sum_b111.val[1] = Sum3W_32(high); + sum_b444->val[0] = vshlq_n_u32(sum_b111.val[0], 2); + sum_b444->val[1] = vshlq_n_u32(sum_b111.val[1], 2); + sum_b343->val[0] = vsubq_u32(sum_b444->val[0], sum_b111.val[0]); + sum_b343->val[1] = vsubq_u32(sum_b444->val[1], sum_b111.val[1]); + sum_b343->val[0] = vaddw_u16(sum_b343->val[0], low[1]); + sum_b343->val[1] = vaddw_u16(sum_b343->val[1], high[1]); + vst1q_u16(ma343 + x, *sum_ma343); + vst1q_u16(ma444 + x, *sum_ma444); + vst1q_u32(b343 + x + 0, sum_b343->val[0]); + vst1q_u32(b343 + x + 4, sum_b343->val[1]); + vst1q_u32(b444 + x + 0, sum_b444->val[0]); + vst1q_u32(b444 + x + 4, sum_b444->val[1]); +} + +inline void Store343_444(const uint8x8x2_t ma3, const uint16x8x2_t b3, + const ptrdiff_t x, uint16x8_t* const sum_ma343, + uint32x4x2_t* const sum_b343, uint16_t* const ma343, + uint16_t* const ma444, uint32_t* const b343, + uint32_t* const b444) { + uint16x8_t sum_ma444; + uint32x4x2_t sum_b444; + Store343_444(ma3, b3, x, sum_ma343, &sum_ma444, sum_b343, &sum_b444, ma343, + ma444, b343, b444); +} + +inline void Store343_444(const uint8x8x2_t ma3, const uint16x8x2_t b3, + const ptrdiff_t x, uint16_t* const ma343, + uint16_t* const ma444, uint32_t* const b343, + uint32_t* const b444) { + uint16x8_t sum_ma343; + uint32x4x2_t sum_b343; + Store343_444(ma3, b3, x, &sum_ma343, &sum_b343, ma343, ma444, b343, b444); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterPreProcess5( + const uint8_t* const src0, const uint8_t* const src1, const ptrdiff_t x, + const uint32_t scale, uint16_t* const sum5[5], + uint32_t* const square_sum5[5], uint8x8x2_t s[2], uint16x8x2_t sq[2], + uint8x8_t* const ma, uint16x8_t* const b) { + uint16x8_t s5[5]; + uint32x4x2_t sq5[5]; + s[0].val[1] = vld1_u8(src0 + x + 8); + s[1].val[1] = vld1_u8(src1 + x + 8); + sq[0].val[1] = vmull_u8(s[0].val[1], s[0].val[1]); + sq[1].val[1] = vmull_u8(s[1].val[1], s[1].val[1]); + s5[3] = Sum5Horizontal(s[0]); + s5[4] = Sum5Horizontal(s[1]); + sq5[3] = Sum5WHorizontal(sq[0]); + sq5[4] = Sum5WHorizontal(sq[1]); + vst1q_u16(sum5[3] + x, s5[3]); + vst1q_u16(sum5[4] + x, s5[4]); + vst1q_u32(square_sum5[3] + x + 0, sq5[3].val[0]); + vst1q_u32(square_sum5[3] + x + 4, sq5[3].val[1]); + vst1q_u32(square_sum5[4] + x + 0, sq5[4].val[0]); + vst1q_u32(square_sum5[4] + x + 4, sq5[4].val[1]); + s5[0] = vld1q_u16(sum5[0] + x); + s5[1] = vld1q_u16(sum5[1] + x); + s5[2] = vld1q_u16(sum5[2] + x); + sq5[0].val[0] = vld1q_u32(square_sum5[0] + x + 0); + sq5[0].val[1] = vld1q_u32(square_sum5[0] + x + 4); + sq5[1].val[0] = vld1q_u32(square_sum5[1] + x + 0); + sq5[1].val[1] = vld1q_u32(square_sum5[1] + x + 4); + sq5[2].val[0] = vld1q_u32(square_sum5[2] + x + 0); + sq5[2].val[1] = vld1q_u32(square_sum5[2] + x + 4); + CalculateIntermediate5(s5, sq5, scale, ma, b); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterPreProcess5LastRow( + const uint8_t* const src, const ptrdiff_t x, const uint32_t scale, + const uint16_t* const sum5[5], const uint32_t* const square_sum5[5], + uint8x8x2_t* const s, uint16x8x2_t* const sq, uint8x8_t* const ma, + uint16x8_t* const b) { + uint16x8_t s5[5]; + uint32x4x2_t sq5[5]; + s->val[1] = vld1_u8(src + x + 8); + sq->val[1] = vmull_u8(s->val[1], s->val[1]); + s5[3] = s5[4] = Sum5Horizontal(*s); + sq5[3] = sq5[4] = Sum5WHorizontal(*sq); + s5[0] = vld1q_u16(sum5[0] + x); + s5[1] = vld1q_u16(sum5[1] + x); + s5[2] = vld1q_u16(sum5[2] + x); + sq5[0].val[0] = vld1q_u32(square_sum5[0] + x + 0); + sq5[0].val[1] = vld1q_u32(square_sum5[0] + x + 4); + sq5[1].val[0] = vld1q_u32(square_sum5[1] + x + 0); + sq5[1].val[1] = vld1q_u32(square_sum5[1] + x + 4); + sq5[2].val[0] = vld1q_u32(square_sum5[2] + x + 0); + sq5[2].val[1] = vld1q_u32(square_sum5[2] + x + 4); + CalculateIntermediate5(s5, sq5, scale, ma, b); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterPreProcess3( + const uint8_t* const src, const ptrdiff_t x, const uint32_t scale, + uint16_t* const sum3[3], uint32_t* const square_sum3[3], + uint8x8x2_t* const s, uint16x8x2_t* const sq, uint8x8_t* const ma, + uint16x8_t* const b) { + uint16x8_t s3[3]; + uint32x4x2_t sq3[3]; + s->val[1] = vld1_u8(src + x + 8); + sq->val[1] = vmull_u8(s->val[1], s->val[1]); + s3[2] = Sum3Horizontal(*s); + sq3[2] = Sum3WHorizontal(*sq); + vst1q_u16(sum3[2] + x, s3[2]); + vst1q_u32(square_sum3[2] + x + 0, sq3[2].val[0]); + vst1q_u32(square_sum3[2] + x + 4, sq3[2].val[1]); + s3[0] = vld1q_u16(sum3[0] + x); + s3[1] = vld1q_u16(sum3[1] + x); + sq3[0].val[0] = vld1q_u32(square_sum3[0] + x + 0); + sq3[0].val[1] = vld1q_u32(square_sum3[0] + x + 4); + sq3[1].val[0] = vld1q_u32(square_sum3[1] + x + 0); + sq3[1].val[1] = vld1q_u32(square_sum3[1] + x + 4); + CalculateIntermediate3(s3, sq3, scale, ma, b); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterPreProcess( + const uint8_t* const src0, const uint8_t* const src1, const ptrdiff_t x, + const uint16_t scales[2], uint16_t* const sum3[4], uint16_t* const sum5[5], + uint32_t* const square_sum3[4], uint32_t* const square_sum5[5], + uint8x8x2_t s[2], uint16x8x2_t sq[2], uint8x8_t* const ma3_0, + uint8x8_t* const ma3_1, uint16x8_t* const b3_0, uint16x8_t* const b3_1, + uint8x8_t* const ma5, uint16x8_t* const b5) { + uint16x8_t s3[4], s5[5]; + uint32x4x2_t sq3[4], sq5[5]; + s[0].val[1] = vld1_u8(src0 + x + 8); + s[1].val[1] = vld1_u8(src1 + x + 8); + sq[0].val[1] = vmull_u8(s[0].val[1], s[0].val[1]); + sq[1].val[1] = vmull_u8(s[1].val[1], s[1].val[1]); + SumHorizontal(s[0], sq[0], &s3[2], &s5[3], &sq3[2], &sq5[3]); + SumHorizontal(s[1], sq[1], &s3[3], &s5[4], &sq3[3], &sq5[4]); + vst1q_u16(sum3[2] + x, s3[2]); + vst1q_u16(sum3[3] + x, s3[3]); + vst1q_u32(square_sum3[2] + x + 0, sq3[2].val[0]); + vst1q_u32(square_sum3[2] + x + 4, sq3[2].val[1]); + vst1q_u32(square_sum3[3] + x + 0, sq3[3].val[0]); + vst1q_u32(square_sum3[3] + x + 4, sq3[3].val[1]); + vst1q_u16(sum5[3] + x, s5[3]); + vst1q_u16(sum5[4] + x, s5[4]); + vst1q_u32(square_sum5[3] + x + 0, sq5[3].val[0]); + vst1q_u32(square_sum5[3] + x + 4, sq5[3].val[1]); + vst1q_u32(square_sum5[4] + x + 0, sq5[4].val[0]); + vst1q_u32(square_sum5[4] + x + 4, sq5[4].val[1]); + s3[0] = vld1q_u16(sum3[0] + x); + s3[1] = vld1q_u16(sum3[1] + x); + sq3[0].val[0] = vld1q_u32(square_sum3[0] + x + 0); + sq3[0].val[1] = vld1q_u32(square_sum3[0] + x + 4); + sq3[1].val[0] = vld1q_u32(square_sum3[1] + x + 0); + sq3[1].val[1] = vld1q_u32(square_sum3[1] + x + 4); + s5[0] = vld1q_u16(sum5[0] + x); + s5[1] = vld1q_u16(sum5[1] + x); + s5[2] = vld1q_u16(sum5[2] + x); + sq5[0].val[0] = vld1q_u32(square_sum5[0] + x + 0); + sq5[0].val[1] = vld1q_u32(square_sum5[0] + x + 4); + sq5[1].val[0] = vld1q_u32(square_sum5[1] + x + 0); + sq5[1].val[1] = vld1q_u32(square_sum5[1] + x + 4); + sq5[2].val[0] = vld1q_u32(square_sum5[2] + x + 0); + sq5[2].val[1] = vld1q_u32(square_sum5[2] + x + 4); + CalculateIntermediate3(s3, sq3, scales[1], ma3_0, b3_0); + CalculateIntermediate3(s3 + 1, sq3 + 1, scales[1], ma3_1, b3_1); + CalculateIntermediate5(s5, sq5, scales[0], ma5, b5); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterPreProcessLastRow( + const uint8_t* const src, const ptrdiff_t x, const uint16_t scales[2], + const uint16_t* const sum3[4], const uint16_t* const sum5[5], + const uint32_t* const square_sum3[4], const uint32_t* const square_sum5[5], + uint8x8x2_t* const s, uint16x8x2_t* const sq, uint8x8_t* const ma3, + uint8x8_t* const ma5, uint16x8_t* const b3, uint16x8_t* const b5) { + uint16x8_t s3[3], s5[5]; + uint32x4x2_t sq3[3], sq5[5]; + s->val[1] = vld1_u8(src + x + 8); + sq->val[1] = vmull_u8(s->val[1], s->val[1]); + SumHorizontal(*s, *sq, &s3[2], &s5[3], &sq3[2], &sq5[3]); + s5[0] = vld1q_u16(sum5[0] + x); + s5[1] = vld1q_u16(sum5[1] + x); + s5[2] = vld1q_u16(sum5[2] + x); + s5[4] = s5[3]; + sq5[0].val[0] = vld1q_u32(square_sum5[0] + x + 0); + sq5[0].val[1] = vld1q_u32(square_sum5[0] + x + 4); + sq5[1].val[0] = vld1q_u32(square_sum5[1] + x + 0); + sq5[1].val[1] = vld1q_u32(square_sum5[1] + x + 4); + sq5[2].val[0] = vld1q_u32(square_sum5[2] + x + 0); + sq5[2].val[1] = vld1q_u32(square_sum5[2] + x + 4); + sq5[4] = sq5[3]; + CalculateIntermediate5(s5, sq5, scales[0], ma5, b5); + s3[0] = vld1q_u16(sum3[0] + x); + s3[1] = vld1q_u16(sum3[1] + x); + sq3[0].val[0] = vld1q_u32(square_sum3[0] + x + 0); + sq3[0].val[1] = vld1q_u32(square_sum3[0] + x + 4); + sq3[1].val[0] = vld1q_u32(square_sum3[1] + x + 0); + sq3[1].val[1] = vld1q_u32(square_sum3[1] + x + 4); + CalculateIntermediate3(s3, sq3, scales[1], ma3, b3); +} + +inline void BoxSumFilterPreProcess5(const uint8_t* const src0, + const uint8_t* const src1, const int width, + const uint32_t scale, + uint16_t* const sum5[5], + uint32_t* const square_sum5[5], + uint16_t* ma565, uint32_t* b565) { + uint8x8x2_t s[2], mas; + uint16x8x2_t sq[2], bs; + s[0].val[0] = vld1_u8(src0); + s[1].val[0] = vld1_u8(src1); + sq[0].val[0] = vmull_u8(s[0].val[0], s[0].val[0]); + sq[1].val[0] = vmull_u8(s[1].val[0], s[1].val[0]); + BoxFilterPreProcess5(src0, src1, 0, scale, sum5, square_sum5, s, sq, + &mas.val[0], &bs.val[0]); + + int x = 0; + do { + s[0].val[0] = s[0].val[1]; + s[1].val[0] = s[1].val[1]; + sq[0].val[0] = sq[0].val[1]; + sq[1].val[0] = sq[1].val[1]; + BoxFilterPreProcess5(src0, src1, x + 8, scale, sum5, square_sum5, s, sq, + &mas.val[1], &bs.val[1]); + const uint16x8_t ma = Sum565(mas); + const uint32x4x2_t b = Sum565W(bs); + vst1q_u16(ma565, ma); + vst1q_u32(b565 + 0, b.val[0]); + vst1q_u32(b565 + 4, b.val[1]); + mas.val[0] = mas.val[1]; + bs.val[0] = bs.val[1]; + ma565 += 8; + b565 += 8; + x += 8; + } while (x < width); +} + +template <bool calculate444> +LIBGAV1_ALWAYS_INLINE void BoxSumFilterPreProcess3( + const uint8_t* const src, const int width, const uint32_t scale, + uint16_t* const sum3[3], uint32_t* const square_sum3[3], uint16_t* ma343, + uint16_t* ma444, uint32_t* b343, uint32_t* b444) { + uint8x8x2_t s, mas; + uint16x8x2_t sq, bs; + s.val[0] = vld1_u8(src); + sq.val[0] = vmull_u8(s.val[0], s.val[0]); + BoxFilterPreProcess3(src, 0, scale, sum3, square_sum3, &s, &sq, &mas.val[0], + &bs.val[0]); + + int x = 0; + do { + s.val[0] = s.val[1]; + sq.val[0] = sq.val[1]; + BoxFilterPreProcess3(src, x + 8, scale, sum3, square_sum3, &s, &sq, + &mas.val[1], &bs.val[1]); + if (calculate444) { + Store343_444(mas, bs, 0, ma343, ma444, b343, b444); + ma444 += 8; + b444 += 8; + } else { + const uint16x8_t ma = Sum343(mas); + const uint32x4x2_t b = Sum343W(bs); + vst1q_u16(ma343, ma); + vst1q_u32(b343 + 0, b.val[0]); + vst1q_u32(b343 + 4, b.val[1]); + } + mas.val[0] = mas.val[1]; + bs.val[0] = bs.val[1]; + ma343 += 8; + b343 += 8; + x += 8; + } while (x < width); +} + +inline void BoxSumFilterPreProcess( + const uint8_t* const src0, const uint8_t* const src1, const int width, + const uint16_t scales[2], uint16_t* const sum3[4], uint16_t* const sum5[5], + uint32_t* const square_sum3[4], uint32_t* const square_sum5[5], + uint16_t* const ma343[4], uint16_t* const ma444[2], uint16_t* ma565, + uint32_t* const b343[4], uint32_t* const b444[2], uint32_t* b565) { + uint8x8x2_t s[2]; + uint8x8x2_t ma3[2], ma5; + uint16x8x2_t sq[2], b3[2], b5; + s[0].val[0] = vld1_u8(src0); + s[1].val[0] = vld1_u8(src1); + sq[0].val[0] = vmull_u8(s[0].val[0], s[0].val[0]); + sq[1].val[0] = vmull_u8(s[1].val[0], s[1].val[0]); + BoxFilterPreProcess(src0, src1, 0, scales, sum3, sum5, square_sum3, + square_sum5, s, sq, &ma3[0].val[0], &ma3[1].val[0], + &b3[0].val[0], &b3[1].val[0], &ma5.val[0], &b5.val[0]); + + int x = 0; + do { + s[0].val[0] = s[0].val[1]; + s[1].val[0] = s[1].val[1]; + sq[0].val[0] = sq[0].val[1]; + sq[1].val[0] = sq[1].val[1]; + BoxFilterPreProcess(src0, src1, x + 8, scales, sum3, sum5, square_sum3, + square_sum5, s, sq, &ma3[0].val[1], &ma3[1].val[1], + &b3[0].val[1], &b3[1].val[1], &ma5.val[1], &b5.val[1]); + uint16x8_t ma = Sum343(ma3[0]); + uint32x4x2_t b = Sum343W(b3[0]); + vst1q_u16(ma343[0] + x, ma); + vst1q_u32(b343[0] + x, b.val[0]); + vst1q_u32(b343[0] + x + 4, b.val[1]); + Store343_444(ma3[1], b3[1], x, ma343[1], ma444[0], b343[1], b444[0]); + ma = Sum565(ma5); + b = Sum565W(b5); + vst1q_u16(ma565, ma); + vst1q_u32(b565 + 0, b.val[0]); + vst1q_u32(b565 + 4, b.val[1]); + ma3[0].val[0] = ma3[0].val[1]; + ma3[1].val[0] = ma3[1].val[1]; + b3[0].val[0] = b3[0].val[1]; + b3[1].val[0] = b3[1].val[1]; + ma5.val[0] = ma5.val[1]; + b5.val[0] = b5.val[1]; + ma565 += 8; + b565 += 8; + x += 8; + } while (x < width); +} + +template <int shift> +inline int16x4_t FilterOutput(const uint16x4_t src, const uint16x4_t ma, + const uint32x4_t b) { + // ma: 255 * 32 = 8160 (13 bits) + // b: 65088 * 32 = 2082816 (21 bits) + // v: b - ma * 255 (22 bits) + const int32x4_t v = vreinterpretq_s32_u32(vmlsl_u16(b, ma, src)); + // kSgrProjSgrBits = 8 + // kSgrProjRestoreBits = 4 + // shift = 4 or 5 + // v >> 8 or 9 (13 bits) + return vrshrn_n_s32(v, kSgrProjSgrBits + shift - kSgrProjRestoreBits); +} + +template <int shift> +inline int16x8_t CalculateFilteredOutput(const uint8x8_t src, + const uint16x8_t ma, + const uint32x4x2_t b) { + const uint16x8_t src_u16 = vmovl_u8(src); + const int16x4_t dst_lo = + FilterOutput<shift>(vget_low_u16(src_u16), vget_low_u16(ma), b.val[0]); + const int16x4_t dst_hi = + FilterOutput<shift>(vget_high_u16(src_u16), vget_high_u16(ma), b.val[1]); + return vcombine_s16(dst_lo, dst_hi); // 13 bits +} + +inline int16x8_t CalculateFilteredOutputPass1(const uint8x8_t s, + uint16x8_t ma[2], + uint32x4x2_t b[2]) { + const uint16x8_t ma_sum = vaddq_u16(ma[0], ma[1]); + uint32x4x2_t b_sum; + b_sum.val[0] = vaddq_u32(b[0].val[0], b[1].val[0]); + b_sum.val[1] = vaddq_u32(b[0].val[1], b[1].val[1]); + return CalculateFilteredOutput<5>(s, ma_sum, b_sum); +} + +inline int16x8_t CalculateFilteredOutputPass2(const uint8x8_t s, + uint16x8_t ma[3], + uint32x4x2_t b[3]) { + const uint16x8_t ma_sum = Sum3_16(ma); + const uint32x4x2_t b_sum = Sum3_32(b); + return CalculateFilteredOutput<5>(s, ma_sum, b_sum); +} + +inline void SelfGuidedFinal(const uint8x8_t src, const int32x4_t v[2], + uint8_t* const dst) { + const int16x4_t v_lo = + vrshrn_n_s32(v[0], kSgrProjRestoreBits + kSgrProjPrecisionBits); + const int16x4_t v_hi = + vrshrn_n_s32(v[1], kSgrProjRestoreBits + kSgrProjPrecisionBits); + const int16x8_t vv = vcombine_s16(v_lo, v_hi); + const int16x8_t s = ZeroExtend(src); + const int16x8_t d = vaddq_s16(s, vv); + vst1_u8(dst, vqmovun_s16(d)); +} + +inline void SelfGuidedDoubleMultiplier(const uint8x8_t src, + const int16x8_t filter[2], const int w0, + const int w2, uint8_t* const dst) { + int32x4_t v[2]; + v[0] = vmull_n_s16(vget_low_s16(filter[0]), w0); + v[1] = vmull_n_s16(vget_high_s16(filter[0]), w0); + v[0] = vmlal_n_s16(v[0], vget_low_s16(filter[1]), w2); + v[1] = vmlal_n_s16(v[1], vget_high_s16(filter[1]), w2); + SelfGuidedFinal(src, v, dst); +} + +inline void SelfGuidedSingleMultiplier(const uint8x8_t src, + const int16x8_t filter, const int w0, + uint8_t* const dst) { + // weight: -96 to 96 (Sgrproj_Xqd_Min/Max) + int32x4_t v[2]; + v[0] = vmull_n_s16(vget_low_s16(filter), w0); + v[1] = vmull_n_s16(vget_high_s16(filter), w0); + SelfGuidedFinal(src, v, dst); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterPass1( + const uint8_t* const src, const uint8_t* const src0, + const uint8_t* const src1, const ptrdiff_t stride, uint16_t* const sum5[5], + uint32_t* const square_sum5[5], const int width, const uint32_t scale, + const int16_t w0, uint16_t* const ma565[2], uint32_t* const b565[2], + uint8_t* const dst) { + uint8x8x2_t s[2], mas; + uint16x8x2_t sq[2], bs; + s[0].val[0] = vld1_u8(src0); + s[1].val[0] = vld1_u8(src1); + sq[0].val[0] = vmull_u8(s[0].val[0], s[0].val[0]); + sq[1].val[0] = vmull_u8(s[1].val[0], s[1].val[0]); + BoxFilterPreProcess5(src0, src1, 0, scale, sum5, square_sum5, s, sq, + &mas.val[0], &bs.val[0]); + + int x = 0; + do { + s[0].val[0] = s[0].val[1]; + s[1].val[0] = s[1].val[1]; + sq[0].val[0] = sq[0].val[1]; + sq[1].val[0] = sq[1].val[1]; + BoxFilterPreProcess5(src0, src1, x + 8, scale, sum5, square_sum5, s, sq, + &mas.val[1], &bs.val[1]); + uint16x8_t ma[2]; + uint32x4x2_t b[2]; + ma[1] = Sum565(mas); + b[1] = Sum565W(bs); + vst1q_u16(ma565[1] + x, ma[1]); + vst1q_u32(b565[1] + x + 0, b[1].val[0]); + vst1q_u32(b565[1] + x + 4, b[1].val[1]); + const uint8x8_t sr0 = vld1_u8(src + x); + const uint8x8_t sr1 = vld1_u8(src + stride + x); + int16x8_t p0, p1; + ma[0] = vld1q_u16(ma565[0] + x); + b[0].val[0] = vld1q_u32(b565[0] + x + 0); + b[0].val[1] = vld1q_u32(b565[0] + x + 4); + p0 = CalculateFilteredOutputPass1(sr0, ma, b); + p1 = CalculateFilteredOutput<4>(sr1, ma[1], b[1]); + SelfGuidedSingleMultiplier(sr0, p0, w0, dst + x); + SelfGuidedSingleMultiplier(sr1, p1, w0, dst + stride + x); + mas.val[0] = mas.val[1]; + bs.val[0] = bs.val[1]; + x += 8; + } while (x < width); +} + +inline void BoxFilterPass1LastRow(const uint8_t* const src, + const uint8_t* const src0, const int width, + const uint32_t scale, const int16_t w0, + uint16_t* const sum5[5], + uint32_t* const square_sum5[5], + uint16_t* ma565, uint32_t* b565, + uint8_t* const dst) { + uint8x8x2_t s, mas; + uint16x8x2_t sq, bs; + s.val[0] = vld1_u8(src0); + sq.val[0] = vmull_u8(s.val[0], s.val[0]); + BoxFilterPreProcess5LastRow(src0, 0, scale, sum5, square_sum5, &s, &sq, + &mas.val[0], &bs.val[0]); + + int x = 0; + do { + s.val[0] = s.val[1]; + sq.val[0] = sq.val[1]; + BoxFilterPreProcess5LastRow(src0, x + 8, scale, sum5, square_sum5, &s, &sq, + &mas.val[1], &bs.val[1]); + uint16x8_t ma[2]; + uint32x4x2_t b[2]; + ma[1] = Sum565(mas); + b[1] = Sum565W(bs); + mas.val[0] = mas.val[1]; + bs.val[0] = bs.val[1]; + ma[0] = vld1q_u16(ma565); + b[0].val[0] = vld1q_u32(b565 + 0); + b[0].val[1] = vld1q_u32(b565 + 4); + const uint8x8_t sr = vld1_u8(src + x); + const int16x8_t p = CalculateFilteredOutputPass1(sr, ma, b); + SelfGuidedSingleMultiplier(sr, p, w0, dst + x); + ma565 += 8; + b565 += 8; + x += 8; + } while (x < width); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterPass2( + const uint8_t* const src, const uint8_t* const src0, const int width, + const uint32_t scale, const int16_t w0, uint16_t* const sum3[3], + uint32_t* const square_sum3[3], uint16_t* const ma343[3], + uint16_t* const ma444[2], uint32_t* const b343[3], uint32_t* const b444[2], + uint8_t* const dst) { + uint8x8x2_t s, mas; + uint16x8x2_t sq, bs; + s.val[0] = vld1_u8(src0); + sq.val[0] = vmull_u8(s.val[0], s.val[0]); + BoxFilterPreProcess3(src0, 0, scale, sum3, square_sum3, &s, &sq, &mas.val[0], + &bs.val[0]); + + int x = 0; + do { + s.val[0] = s.val[1]; + sq.val[0] = sq.val[1]; + BoxFilterPreProcess3(src0, x + 8, scale, sum3, square_sum3, &s, &sq, + &mas.val[1], &bs.val[1]); + uint16x8_t ma[3]; + uint32x4x2_t b[3]; + Store343_444(mas, bs, x, &ma[2], &b[2], ma343[2], ma444[1], b343[2], + b444[1]); + const uint8x8_t sr = vld1_u8(src + x); + ma[0] = vld1q_u16(ma343[0] + x); + ma[1] = vld1q_u16(ma444[0] + x); + b[0].val[0] = vld1q_u32(b343[0] + x + 0); + b[0].val[1] = vld1q_u32(b343[0] + x + 4); + b[1].val[0] = vld1q_u32(b444[0] + x + 0); + b[1].val[1] = vld1q_u32(b444[0] + x + 4); + const int16x8_t p = CalculateFilteredOutputPass2(sr, ma, b); + SelfGuidedSingleMultiplier(sr, p, w0, dst + x); + mas.val[0] = mas.val[1]; + bs.val[0] = bs.val[1]; + x += 8; + } while (x < width); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilter( + const uint8_t* const src, const uint8_t* const src0, + const uint8_t* const src1, const ptrdiff_t stride, const int width, + const uint16_t scales[2], const int16_t w0, const int16_t w2, + uint16_t* const sum3[4], uint16_t* const sum5[5], + uint32_t* const square_sum3[4], uint32_t* const square_sum5[5], + uint16_t* const ma343[4], uint16_t* const ma444[3], + uint16_t* const ma565[2], uint32_t* const b343[4], uint32_t* const b444[3], + uint32_t* const b565[2], uint8_t* const dst) { + uint8x8x2_t s[2], ma3[2], ma5; + uint16x8x2_t sq[2], b3[2], b5; + s[0].val[0] = vld1_u8(src0); + s[1].val[0] = vld1_u8(src1); + sq[0].val[0] = vmull_u8(s[0].val[0], s[0].val[0]); + sq[1].val[0] = vmull_u8(s[1].val[0], s[1].val[0]); + BoxFilterPreProcess(src0, src1, 0, scales, sum3, sum5, square_sum3, + square_sum5, s, sq, &ma3[0].val[0], &ma3[1].val[0], + &b3[0].val[0], &b3[1].val[0], &ma5.val[0], &b5.val[0]); + + int x = 0; + do { + s[0].val[0] = s[0].val[1]; + s[1].val[0] = s[1].val[1]; + sq[0].val[0] = sq[0].val[1]; + sq[1].val[0] = sq[1].val[1]; + BoxFilterPreProcess(src0, src1, x + 8, scales, sum3, sum5, square_sum3, + square_sum5, s, sq, &ma3[0].val[1], &ma3[1].val[1], + &b3[0].val[1], &b3[1].val[1], &ma5.val[1], &b5.val[1]); + uint16x8_t ma[3][3]; + uint32x4x2_t b[3][3]; + Store343_444(ma3[0], b3[0], x, &ma[1][2], &ma[2][1], &b[1][2], &b[2][1], + ma343[2], ma444[1], b343[2], b444[1]); + Store343_444(ma3[1], b3[1], x, &ma[2][2], &b[2][2], ma343[3], ma444[2], + b343[3], b444[2]); + ma[0][1] = Sum565(ma5); + b[0][1] = Sum565W(b5); + vst1q_u16(ma565[1] + x, ma[0][1]); + vst1q_u32(b565[1] + x, b[0][1].val[0]); + vst1q_u32(b565[1] + x + 4, b[0][1].val[1]); + ma3[0].val[0] = ma3[0].val[1]; + ma3[1].val[0] = ma3[1].val[1]; + b3[0].val[0] = b3[0].val[1]; + b3[1].val[0] = b3[1].val[1]; + ma5.val[0] = ma5.val[1]; + b5.val[0] = b5.val[1]; + int16x8_t p[2][2]; + const uint8x8_t sr0 = vld1_u8(src + x); + const uint8x8_t sr1 = vld1_u8(src + stride + x); + ma[0][0] = vld1q_u16(ma565[0] + x); + b[0][0].val[0] = vld1q_u32(b565[0] + x); + b[0][0].val[1] = vld1q_u32(b565[0] + x + 4); + p[0][0] = CalculateFilteredOutputPass1(sr0, ma[0], b[0]); + p[1][0] = CalculateFilteredOutput<4>(sr1, ma[0][1], b[0][1]); + ma[1][0] = vld1q_u16(ma343[0] + x); + ma[1][1] = vld1q_u16(ma444[0] + x); + b[1][0].val[0] = vld1q_u32(b343[0] + x); + b[1][0].val[1] = vld1q_u32(b343[0] + x + 4); + b[1][1].val[0] = vld1q_u32(b444[0] + x); + b[1][1].val[1] = vld1q_u32(b444[0] + x + 4); + p[0][1] = CalculateFilteredOutputPass2(sr0, ma[1], b[1]); + ma[2][0] = vld1q_u16(ma343[1] + x); + b[2][0].val[0] = vld1q_u32(b343[1] + x); + b[2][0].val[1] = vld1q_u32(b343[1] + x + 4); + p[1][1] = CalculateFilteredOutputPass2(sr1, ma[2], b[2]); + SelfGuidedDoubleMultiplier(sr0, p[0], w0, w2, dst + x); + SelfGuidedDoubleMultiplier(sr1, p[1], w0, w2, dst + stride + x); + x += 8; + } while (x < width); +} + +inline void BoxFilterLastRow( + const uint8_t* const src, const uint8_t* const src0, const int width, + const uint16_t scales[2], const int16_t w0, const int16_t w2, + uint16_t* const sum3[4], uint16_t* const sum5[5], + uint32_t* const square_sum3[4], uint32_t* const square_sum5[5], + uint16_t* const ma343[4], uint16_t* const ma444[3], + uint16_t* const ma565[2], uint32_t* const b343[4], uint32_t* const b444[3], + uint32_t* const b565[2], uint8_t* const dst) { + uint8x8x2_t s, ma3, ma5; + uint16x8x2_t sq, b3, b5; + uint16x8_t ma[3]; + uint32x4x2_t b[3]; + s.val[0] = vld1_u8(src0); + sq.val[0] = vmull_u8(s.val[0], s.val[0]); + BoxFilterPreProcessLastRow(src0, 0, scales, sum3, sum5, square_sum3, + square_sum5, &s, &sq, &ma3.val[0], &ma5.val[0], + &b3.val[0], &b5.val[0]); + + int x = 0; + do { + s.val[0] = s.val[1]; + sq.val[0] = sq.val[1]; + BoxFilterPreProcessLastRow(src0, x + 8, scales, sum3, sum5, square_sum3, + square_sum5, &s, &sq, &ma3.val[1], &ma5.val[1], + &b3.val[1], &b5.val[1]); + ma[1] = Sum565(ma5); + b[1] = Sum565W(b5); + ma5.val[0] = ma5.val[1]; + b5.val[0] = b5.val[1]; + ma[2] = Sum343(ma3); + b[2] = Sum343W(b3); + ma3.val[0] = ma3.val[1]; + b3.val[0] = b3.val[1]; + const uint8x8_t sr = vld1_u8(src + x); + int16x8_t p[2]; + ma[0] = vld1q_u16(ma565[0] + x); + b[0].val[0] = vld1q_u32(b565[0] + x + 0); + b[0].val[1] = vld1q_u32(b565[0] + x + 4); + p[0] = CalculateFilteredOutputPass1(sr, ma, b); + ma[0] = vld1q_u16(ma343[0] + x); + ma[1] = vld1q_u16(ma444[0] + x); + b[0].val[0] = vld1q_u32(b343[0] + x + 0); + b[0].val[1] = vld1q_u32(b343[0] + x + 4); + b[1].val[0] = vld1q_u32(b444[0] + x + 0); + b[1].val[1] = vld1q_u32(b444[0] + x + 4); + p[1] = CalculateFilteredOutputPass2(sr, ma, b); + SelfGuidedDoubleMultiplier(sr, p, w0, w2, dst + x); + x += 8; + } while (x < width); +} + +LIBGAV1_ALWAYS_INLINE void BoxFilterProcess( + const RestorationUnitInfo& restoration_info, const uint8_t* src, + const uint8_t* const top_border, const uint8_t* bottom_border, + const ptrdiff_t stride, const int width, const int height, + SgrBuffer* const sgr_buffer, uint8_t* dst) { + const auto temp_stride = Align<ptrdiff_t>(width, 8); + const ptrdiff_t sum_stride = temp_stride + 8; + const int sgr_proj_index = restoration_info.sgr_proj_info.index; + const uint16_t* const scales = kSgrScaleParameter[sgr_proj_index]; // < 2^12. + const int16_t w0 = restoration_info.sgr_proj_info.multiplier[0]; + const int16_t w1 = restoration_info.sgr_proj_info.multiplier[1]; + const int16_t w2 = (1 << kSgrProjPrecisionBits) - w0 - w1; + uint16_t *sum3[4], *sum5[5], *ma343[4], *ma444[3], *ma565[2]; + uint32_t *square_sum3[4], *square_sum5[5], *b343[4], *b444[3], *b565[2]; + sum3[0] = sgr_buffer->sum3; + square_sum3[0] = sgr_buffer->square_sum3; + ma343[0] = sgr_buffer->ma343; + b343[0] = sgr_buffer->b343; + for (int i = 1; i <= 3; ++i) { + sum3[i] = sum3[i - 1] + sum_stride; + square_sum3[i] = square_sum3[i - 1] + sum_stride; + ma343[i] = ma343[i - 1] + temp_stride; + b343[i] = b343[i - 1] + temp_stride; + } + sum5[0] = sgr_buffer->sum5; + square_sum5[0] = sgr_buffer->square_sum5; + for (int i = 1; i <= 4; ++i) { + sum5[i] = sum5[i - 1] + sum_stride; + square_sum5[i] = square_sum5[i - 1] + sum_stride; + } + ma444[0] = sgr_buffer->ma444; + b444[0] = sgr_buffer->b444; + for (int i = 1; i <= 2; ++i) { + ma444[i] = ma444[i - 1] + temp_stride; + b444[i] = b444[i - 1] + temp_stride; + } + ma565[0] = sgr_buffer->ma565; + ma565[1] = ma565[0] + temp_stride; + b565[0] = sgr_buffer->b565; + b565[1] = b565[0] + temp_stride; + assert(scales[0] != 0); + assert(scales[1] != 0); + BoxSum(top_border, stride, 2, sum_stride, sum3[0], sum5[1], square_sum3[0], + square_sum5[1]); + sum5[0] = sum5[1]; + square_sum5[0] = square_sum5[1]; + const uint8_t* const s = (height > 1) ? src + stride : bottom_border; + BoxSumFilterPreProcess(src, s, width, scales, sum3, sum5, square_sum3, + square_sum5, ma343, ma444, ma565[0], b343, b444, + b565[0]); + sum5[0] = sgr_buffer->sum5; + square_sum5[0] = sgr_buffer->square_sum5; + + for (int y = (height >> 1) - 1; y > 0; --y) { + Circulate4PointersBy2<uint16_t>(sum3); + Circulate4PointersBy2<uint32_t>(square_sum3); + Circulate5PointersBy2<uint16_t>(sum5); + Circulate5PointersBy2<uint32_t>(square_sum5); + BoxFilter(src + 3, src + 2 * stride, src + 3 * stride, stride, width, + scales, w0, w2, sum3, sum5, square_sum3, square_sum5, ma343, + ma444, ma565, b343, b444, b565, dst); + src += 2 * stride; + dst += 2 * stride; + Circulate4PointersBy2<uint16_t>(ma343); + Circulate4PointersBy2<uint32_t>(b343); + std::swap(ma444[0], ma444[2]); + std::swap(b444[0], b444[2]); + std::swap(ma565[0], ma565[1]); + std::swap(b565[0], b565[1]); + } + + Circulate4PointersBy2<uint16_t>(sum3); + Circulate4PointersBy2<uint32_t>(square_sum3); + Circulate5PointersBy2<uint16_t>(sum5); + Circulate5PointersBy2<uint32_t>(square_sum5); + if ((height & 1) == 0 || height > 1) { + const uint8_t* sr[2]; + if ((height & 1) == 0) { + sr[0] = bottom_border; + sr[1] = bottom_border + stride; + } else { + sr[0] = src + 2 * stride; + sr[1] = bottom_border; + } + BoxFilter(src + 3, sr[0], sr[1], stride, width, scales, w0, w2, sum3, sum5, + square_sum3, square_sum5, ma343, ma444, ma565, b343, b444, b565, + dst); + } + if ((height & 1) != 0) { + if (height > 1) { + src += 2 * stride; + dst += 2 * stride; + Circulate4PointersBy2<uint16_t>(sum3); + Circulate4PointersBy2<uint32_t>(square_sum3); + Circulate5PointersBy2<uint16_t>(sum5); + Circulate5PointersBy2<uint32_t>(square_sum5); + Circulate4PointersBy2<uint16_t>(ma343); + Circulate4PointersBy2<uint32_t>(b343); + std::swap(ma444[0], ma444[2]); + std::swap(b444[0], b444[2]); + std::swap(ma565[0], ma565[1]); + std::swap(b565[0], b565[1]); + } + BoxFilterLastRow(src + 3, bottom_border + stride, width, scales, w0, w2, + sum3, sum5, square_sum3, square_sum5, ma343, ma444, ma565, + b343, b444, b565, dst); + } +} + +inline void BoxFilterProcessPass1(const RestorationUnitInfo& restoration_info, + const uint8_t* src, + const uint8_t* const top_border, + const uint8_t* bottom_border, + const ptrdiff_t stride, const int width, + const int height, SgrBuffer* const sgr_buffer, + uint8_t* dst) { + const auto temp_stride = Align<ptrdiff_t>(width, 8); + const ptrdiff_t sum_stride = temp_stride + 8; + const int sgr_proj_index = restoration_info.sgr_proj_info.index; + const uint32_t scale = kSgrScaleParameter[sgr_proj_index][0]; // < 2^12. + const int16_t w0 = restoration_info.sgr_proj_info.multiplier[0]; + uint16_t *sum5[5], *ma565[2]; + uint32_t *square_sum5[5], *b565[2]; + sum5[0] = sgr_buffer->sum5; + square_sum5[0] = sgr_buffer->square_sum5; + for (int i = 1; i <= 4; ++i) { + sum5[i] = sum5[i - 1] + sum_stride; + square_sum5[i] = square_sum5[i - 1] + sum_stride; + } + ma565[0] = sgr_buffer->ma565; + ma565[1] = ma565[0] + temp_stride; + b565[0] = sgr_buffer->b565; + b565[1] = b565[0] + temp_stride; + assert(scale != 0); + BoxSum<5>(top_border, stride, 2, sum_stride, sum5[1], square_sum5[1]); + sum5[0] = sum5[1]; + square_sum5[0] = square_sum5[1]; + const uint8_t* const s = (height > 1) ? src + stride : bottom_border; + BoxSumFilterPreProcess5(src, s, width, scale, sum5, square_sum5, ma565[0], + b565[0]); + sum5[0] = sgr_buffer->sum5; + square_sum5[0] = sgr_buffer->square_sum5; + + for (int y = (height >> 1) - 1; y > 0; --y) { + Circulate5PointersBy2<uint16_t>(sum5); + Circulate5PointersBy2<uint32_t>(square_sum5); + BoxFilterPass1(src + 3, src + 2 * stride, src + 3 * stride, stride, sum5, + square_sum5, width, scale, w0, ma565, b565, dst); + src += 2 * stride; + dst += 2 * stride; + std::swap(ma565[0], ma565[1]); + std::swap(b565[0], b565[1]); + } + + Circulate5PointersBy2<uint16_t>(sum5); + Circulate5PointersBy2<uint32_t>(square_sum5); + if ((height & 1) == 0 || height > 1) { + const uint8_t* sr[2]; + if ((height & 1) == 0) { + sr[0] = bottom_border; + sr[1] = bottom_border + stride; + } else { + sr[0] = src + 2 * stride; + sr[1] = bottom_border; + } + BoxFilterPass1(src + 3, sr[0], sr[1], stride, sum5, square_sum5, width, + scale, w0, ma565, b565, dst); + } + if ((height & 1) != 0) { + if (height > 1) { + src += 2 * stride; + dst += 2 * stride; + std::swap(ma565[0], ma565[1]); + std::swap(b565[0], b565[1]); + Circulate5PointersBy2<uint16_t>(sum5); + Circulate5PointersBy2<uint32_t>(square_sum5); + } + BoxFilterPass1LastRow(src + 3, bottom_border + stride, width, scale, w0, + sum5, square_sum5, ma565[0], b565[0], dst); + } +} + +inline void BoxFilterProcessPass2(const RestorationUnitInfo& restoration_info, + const uint8_t* src, + const uint8_t* const top_border, + const uint8_t* bottom_border, + const ptrdiff_t stride, const int width, + const int height, SgrBuffer* const sgr_buffer, + uint8_t* dst) { + assert(restoration_info.sgr_proj_info.multiplier[0] == 0); + const auto temp_stride = Align<ptrdiff_t>(width, 8); + const ptrdiff_t sum_stride = temp_stride + 8; + const int16_t w1 = restoration_info.sgr_proj_info.multiplier[1]; + const int16_t w0 = (1 << kSgrProjPrecisionBits) - w1; + const int sgr_proj_index = restoration_info.sgr_proj_info.index; + const uint32_t scale = kSgrScaleParameter[sgr_proj_index][1]; // < 2^12. + uint16_t *sum3[3], *ma343[3], *ma444[2]; + uint32_t *square_sum3[3], *b343[3], *b444[2]; + sum3[0] = sgr_buffer->sum3; + square_sum3[0] = sgr_buffer->square_sum3; + ma343[0] = sgr_buffer->ma343; + b343[0] = sgr_buffer->b343; + for (int i = 1; i <= 2; ++i) { + sum3[i] = sum3[i - 1] + sum_stride; + square_sum3[i] = square_sum3[i - 1] + sum_stride; + ma343[i] = ma343[i - 1] + temp_stride; + b343[i] = b343[i - 1] + temp_stride; + } + ma444[0] = sgr_buffer->ma444; + ma444[1] = ma444[0] + temp_stride; + b444[0] = sgr_buffer->b444; + b444[1] = b444[0] + temp_stride; + assert(scale != 0); + BoxSum<3>(top_border, stride, 2, sum_stride, sum3[0], square_sum3[0]); + BoxSumFilterPreProcess3<false>(src, width, scale, sum3, square_sum3, ma343[0], + nullptr, b343[0], nullptr); + Circulate3PointersBy1<uint16_t>(sum3); + Circulate3PointersBy1<uint32_t>(square_sum3); + const uint8_t* s; + if (height > 1) { + s = src + stride; + } else { + s = bottom_border; + bottom_border += stride; + } + BoxSumFilterPreProcess3<true>(s, width, scale, sum3, square_sum3, ma343[1], + ma444[0], b343[1], b444[0]); + + for (int y = height - 2; y > 0; --y) { + Circulate3PointersBy1<uint16_t>(sum3); + Circulate3PointersBy1<uint32_t>(square_sum3); + BoxFilterPass2(src + 2, src + 2 * stride, width, scale, w0, sum3, + square_sum3, ma343, ma444, b343, b444, dst); + src += stride; + dst += stride; + Circulate3PointersBy1<uint16_t>(ma343); + Circulate3PointersBy1<uint32_t>(b343); + std::swap(ma444[0], ma444[1]); + std::swap(b444[0], b444[1]); + } + + src += 2; + int y = std::min(height, 2); + do { + Circulate3PointersBy1<uint16_t>(sum3); + Circulate3PointersBy1<uint32_t>(square_sum3); + BoxFilterPass2(src, bottom_border, width, scale, w0, sum3, square_sum3, + ma343, ma444, b343, b444, dst); + src += stride; + dst += stride; + bottom_border += stride; + Circulate3PointersBy1<uint16_t>(ma343); + Circulate3PointersBy1<uint32_t>(b343); + std::swap(ma444[0], ma444[1]); + std::swap(b444[0], b444[1]); + } while (--y != 0); +} + +// If |width| is non-multiple of 8, up to 7 more pixels are written to |dest| in +// the end of each row. It is safe to overwrite the output as it will not be +// part of the visible frame. +void SelfGuidedFilter_NEON( + const RestorationUnitInfo& restoration_info, const void* const source, + const void* const top_border, const void* const bottom_border, + const ptrdiff_t stride, const int width, const int height, + RestorationBuffer* const restoration_buffer, void* const dest) { + const int index = restoration_info.sgr_proj_info.index; + const int radius_pass_0 = kSgrProjParams[index][0]; // 2 or 0 + const int radius_pass_1 = kSgrProjParams[index][2]; // 1 or 0 + const auto* const src = static_cast<const uint8_t*>(source); + const auto* top = static_cast<const uint8_t*>(top_border); + const auto* bottom = static_cast<const uint8_t*>(bottom_border); + auto* const dst = static_cast<uint8_t*>(dest); + SgrBuffer* const sgr_buffer = &restoration_buffer->sgr_buffer; + if (radius_pass_1 == 0) { + // |radius_pass_0| and |radius_pass_1| cannot both be 0, so we have the + // following assertion. + assert(radius_pass_0 != 0); + BoxFilterProcessPass1(restoration_info, src - 3, top - 3, bottom - 3, + stride, width, height, sgr_buffer, dst); + } else if (radius_pass_0 == 0) { + BoxFilterProcessPass2(restoration_info, src - 2, top - 2, bottom - 2, + stride, width, height, sgr_buffer, dst); + } else { + BoxFilterProcess(restoration_info, src - 3, top - 3, bottom - 3, stride, + width, height, sgr_buffer, dst); + } +} + +void Init8bpp() { + Dsp* const dsp = dsp_internal::GetWritableDspTable(kBitdepth8); + assert(dsp != nullptr); + dsp->loop_restorations[0] = WienerFilter_NEON; + dsp->loop_restorations[1] = SelfGuidedFilter_NEON; +} + +} // namespace +} // namespace low_bitdepth + +void LoopRestorationInit_NEON() { low_bitdepth::Init8bpp(); } + +} // namespace dsp +} // namespace libgav1 + +#else // !LIBGAV1_ENABLE_NEON +namespace libgav1 { +namespace dsp { + +void LoopRestorationInit_NEON() {} + +} // namespace dsp +} // namespace libgav1 +#endif // LIBGAV1_ENABLE_NEON |