From 36d22d82aa202bb199967e9512281e9a53db42c9 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Sun, 7 Apr 2024 21:33:14 +0200 Subject: Adding upstream version 115.7.0esr. Signed-off-by: Daniel Baumann --- third_party/aom/av1/common/warped_motion.c | 1148 ++++++++++++++++++++++++++++ 1 file changed, 1148 insertions(+) create mode 100644 third_party/aom/av1/common/warped_motion.c (limited to 'third_party/aom/av1/common/warped_motion.c') diff --git a/third_party/aom/av1/common/warped_motion.c b/third_party/aom/av1/common/warped_motion.c new file mode 100644 index 0000000000..4144c43896 --- /dev/null +++ b/third_party/aom/av1/common/warped_motion.c @@ -0,0 +1,1148 @@ +/* + * Copyright (c) 2016, 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 +#include +#include +#include +#include + +#include "config/av1_rtcd.h" + +#include "av1/common/warped_motion.h" +#include "av1/common/scale.h" + +#define WARP_ERROR_BLOCK 32 + +/* clang-format off */ +static const int error_measure_lut[512] = { + // pow 0.7 + 16384, 16339, 16294, 16249, 16204, 16158, 16113, 16068, + 16022, 15977, 15932, 15886, 15840, 15795, 15749, 15703, + 15657, 15612, 15566, 15520, 15474, 15427, 15381, 15335, + 15289, 15242, 15196, 15149, 15103, 15056, 15010, 14963, + 14916, 14869, 14822, 14775, 14728, 14681, 14634, 14587, + 14539, 14492, 14445, 14397, 14350, 14302, 14254, 14206, + 14159, 14111, 14063, 14015, 13967, 13918, 13870, 13822, + 13773, 13725, 13676, 13628, 13579, 13530, 13481, 13432, + 13383, 13334, 13285, 13236, 13187, 13137, 13088, 13038, + 12988, 12939, 12889, 12839, 12789, 12739, 12689, 12639, + 12588, 12538, 12487, 12437, 12386, 12335, 12285, 12234, + 12183, 12132, 12080, 12029, 11978, 11926, 11875, 11823, + 11771, 11719, 11667, 11615, 11563, 11511, 11458, 11406, + 11353, 11301, 11248, 11195, 11142, 11089, 11036, 10982, + 10929, 10875, 10822, 10768, 10714, 10660, 10606, 10552, + 10497, 10443, 10388, 10333, 10279, 10224, 10168, 10113, + 10058, 10002, 9947, 9891, 9835, 9779, 9723, 9666, + 9610, 9553, 9497, 9440, 9383, 9326, 9268, 9211, + 9153, 9095, 9037, 8979, 8921, 8862, 8804, 8745, + 8686, 8627, 8568, 8508, 8449, 8389, 8329, 8269, + 8208, 8148, 8087, 8026, 7965, 7903, 7842, 7780, + 7718, 7656, 7593, 7531, 7468, 7405, 7341, 7278, + 7214, 7150, 7086, 7021, 6956, 6891, 6826, 6760, + 6695, 6628, 6562, 6495, 6428, 6361, 6293, 6225, + 6157, 6089, 6020, 5950, 5881, 5811, 5741, 5670, + 5599, 5527, 5456, 5383, 5311, 5237, 5164, 5090, + 5015, 4941, 4865, 4789, 4713, 4636, 4558, 4480, + 4401, 4322, 4242, 4162, 4080, 3998, 3916, 3832, + 3748, 3663, 3577, 3490, 3402, 3314, 3224, 3133, + 3041, 2948, 2854, 2758, 2661, 2562, 2461, 2359, + 2255, 2148, 2040, 1929, 1815, 1698, 1577, 1452, + 1323, 1187, 1045, 894, 731, 550, 339, 0, + 339, 550, 731, 894, 1045, 1187, 1323, 1452, + 1577, 1698, 1815, 1929, 2040, 2148, 2255, 2359, + 2461, 2562, 2661, 2758, 2854, 2948, 3041, 3133, + 3224, 3314, 3402, 3490, 3577, 3663, 3748, 3832, + 3916, 3998, 4080, 4162, 4242, 4322, 4401, 4480, + 4558, 4636, 4713, 4789, 4865, 4941, 5015, 5090, + 5164, 5237, 5311, 5383, 5456, 5527, 5599, 5670, + 5741, 5811, 5881, 5950, 6020, 6089, 6157, 6225, + 6293, 6361, 6428, 6495, 6562, 6628, 6695, 6760, + 6826, 6891, 6956, 7021, 7086, 7150, 7214, 7278, + 7341, 7405, 7468, 7531, 7593, 7656, 7718, 7780, + 7842, 7903, 7965, 8026, 8087, 8148, 8208, 8269, + 8329, 8389, 8449, 8508, 8568, 8627, 8686, 8745, + 8804, 8862, 8921, 8979, 9037, 9095, 9153, 9211, + 9268, 9326, 9383, 9440, 9497, 9553, 9610, 9666, + 9723, 9779, 9835, 9891, 9947, 10002, 10058, 10113, + 10168, 10224, 10279, 10333, 10388, 10443, 10497, 10552, + 10606, 10660, 10714, 10768, 10822, 10875, 10929, 10982, + 11036, 11089, 11142, 11195, 11248, 11301, 11353, 11406, + 11458, 11511, 11563, 11615, 11667, 11719, 11771, 11823, + 11875, 11926, 11978, 12029, 12080, 12132, 12183, 12234, + 12285, 12335, 12386, 12437, 12487, 12538, 12588, 12639, + 12689, 12739, 12789, 12839, 12889, 12939, 12988, 13038, + 13088, 13137, 13187, 13236, 13285, 13334, 13383, 13432, + 13481, 13530, 13579, 13628, 13676, 13725, 13773, 13822, + 13870, 13918, 13967, 14015, 14063, 14111, 14159, 14206, + 14254, 14302, 14350, 14397, 14445, 14492, 14539, 14587, + 14634, 14681, 14728, 14775, 14822, 14869, 14916, 14963, + 15010, 15056, 15103, 15149, 15196, 15242, 15289, 15335, + 15381, 15427, 15474, 15520, 15566, 15612, 15657, 15703, + 15749, 15795, 15840, 15886, 15932, 15977, 16022, 16068, + 16113, 16158, 16204, 16249, 16294, 16339, 16384, 16384, +}; +/* clang-format on */ + +// For warping, we really use a 6-tap filter, but we do blocks of 8 pixels +// at a time. The zoom/rotation/shear in the model are applied to the +// "fractional" position of each pixel, which therefore varies within +// [-1, 2) * WARPEDPIXEL_PREC_SHIFTS. +// We need an extra 2 taps to fit this in, for a total of 8 taps. +/* clang-format off */ +const int16_t warped_filter[WARPEDPIXEL_PREC_SHIFTS * 3 + 1][8] = { +#if WARPEDPIXEL_PREC_BITS == 6 + // [-1, 0) + { 0, 0, 127, 1, 0, 0, 0, 0 }, { 0, - 1, 127, 2, 0, 0, 0, 0 }, + { 1, - 3, 127, 4, - 1, 0, 0, 0 }, { 1, - 4, 126, 6, - 2, 1, 0, 0 }, + { 1, - 5, 126, 8, - 3, 1, 0, 0 }, { 1, - 6, 125, 11, - 4, 1, 0, 0 }, + { 1, - 7, 124, 13, - 4, 1, 0, 0 }, { 2, - 8, 123, 15, - 5, 1, 0, 0 }, + { 2, - 9, 122, 18, - 6, 1, 0, 0 }, { 2, -10, 121, 20, - 6, 1, 0, 0 }, + { 2, -11, 120, 22, - 7, 2, 0, 0 }, { 2, -12, 119, 25, - 8, 2, 0, 0 }, + { 3, -13, 117, 27, - 8, 2, 0, 0 }, { 3, -13, 116, 29, - 9, 2, 0, 0 }, + { 3, -14, 114, 32, -10, 3, 0, 0 }, { 3, -15, 113, 35, -10, 2, 0, 0 }, + { 3, -15, 111, 37, -11, 3, 0, 0 }, { 3, -16, 109, 40, -11, 3, 0, 0 }, + { 3, -16, 108, 42, -12, 3, 0, 0 }, { 4, -17, 106, 45, -13, 3, 0, 0 }, + { 4, -17, 104, 47, -13, 3, 0, 0 }, { 4, -17, 102, 50, -14, 3, 0, 0 }, + { 4, -17, 100, 52, -14, 3, 0, 0 }, { 4, -18, 98, 55, -15, 4, 0, 0 }, + { 4, -18, 96, 58, -15, 3, 0, 0 }, { 4, -18, 94, 60, -16, 4, 0, 0 }, + { 4, -18, 91, 63, -16, 4, 0, 0 }, { 4, -18, 89, 65, -16, 4, 0, 0 }, + { 4, -18, 87, 68, -17, 4, 0, 0 }, { 4, -18, 85, 70, -17, 4, 0, 0 }, + { 4, -18, 82, 73, -17, 4, 0, 0 }, { 4, -18, 80, 75, -17, 4, 0, 0 }, + { 4, -18, 78, 78, -18, 4, 0, 0 }, { 4, -17, 75, 80, -18, 4, 0, 0 }, + { 4, -17, 73, 82, -18, 4, 0, 0 }, { 4, -17, 70, 85, -18, 4, 0, 0 }, + { 4, -17, 68, 87, -18, 4, 0, 0 }, { 4, -16, 65, 89, -18, 4, 0, 0 }, + { 4, -16, 63, 91, -18, 4, 0, 0 }, { 4, -16, 60, 94, -18, 4, 0, 0 }, + { 3, -15, 58, 96, -18, 4, 0, 0 }, { 4, -15, 55, 98, -18, 4, 0, 0 }, + { 3, -14, 52, 100, -17, 4, 0, 0 }, { 3, -14, 50, 102, -17, 4, 0, 0 }, + { 3, -13, 47, 104, -17, 4, 0, 0 }, { 3, -13, 45, 106, -17, 4, 0, 0 }, + { 3, -12, 42, 108, -16, 3, 0, 0 }, { 3, -11, 40, 109, -16, 3, 0, 0 }, + { 3, -11, 37, 111, -15, 3, 0, 0 }, { 2, -10, 35, 113, -15, 3, 0, 0 }, + { 3, -10, 32, 114, -14, 3, 0, 0 }, { 2, - 9, 29, 116, -13, 3, 0, 0 }, + { 2, - 8, 27, 117, -13, 3, 0, 0 }, { 2, - 8, 25, 119, -12, 2, 0, 0 }, + { 2, - 7, 22, 120, -11, 2, 0, 0 }, { 1, - 6, 20, 121, -10, 2, 0, 0 }, + { 1, - 6, 18, 122, - 9, 2, 0, 0 }, { 1, - 5, 15, 123, - 8, 2, 0, 0 }, + { 1, - 4, 13, 124, - 7, 1, 0, 0 }, { 1, - 4, 11, 125, - 6, 1, 0, 0 }, + { 1, - 3, 8, 126, - 5, 1, 0, 0 }, { 1, - 2, 6, 126, - 4, 1, 0, 0 }, + { 0, - 1, 4, 127, - 3, 1, 0, 0 }, { 0, 0, 2, 127, - 1, 0, 0, 0 }, + + // [0, 1) + { 0, 0, 0, 127, 1, 0, 0, 0}, { 0, 0, -1, 127, 2, 0, 0, 0}, + { 0, 1, -3, 127, 4, -2, 1, 0}, { 0, 1, -5, 127, 6, -2, 1, 0}, + { 0, 2, -6, 126, 8, -3, 1, 0}, {-1, 2, -7, 126, 11, -4, 2, -1}, + {-1, 3, -8, 125, 13, -5, 2, -1}, {-1, 3, -10, 124, 16, -6, 3, -1}, + {-1, 4, -11, 123, 18, -7, 3, -1}, {-1, 4, -12, 122, 20, -7, 3, -1}, + {-1, 4, -13, 121, 23, -8, 3, -1}, {-2, 5, -14, 120, 25, -9, 4, -1}, + {-1, 5, -15, 119, 27, -10, 4, -1}, {-1, 5, -16, 118, 30, -11, 4, -1}, + {-2, 6, -17, 116, 33, -12, 5, -1}, {-2, 6, -17, 114, 35, -12, 5, -1}, + {-2, 6, -18, 113, 38, -13, 5, -1}, {-2, 7, -19, 111, 41, -14, 6, -2}, + {-2, 7, -19, 110, 43, -15, 6, -2}, {-2, 7, -20, 108, 46, -15, 6, -2}, + {-2, 7, -20, 106, 49, -16, 6, -2}, {-2, 7, -21, 104, 51, -16, 7, -2}, + {-2, 7, -21, 102, 54, -17, 7, -2}, {-2, 8, -21, 100, 56, -18, 7, -2}, + {-2, 8, -22, 98, 59, -18, 7, -2}, {-2, 8, -22, 96, 62, -19, 7, -2}, + {-2, 8, -22, 94, 64, -19, 7, -2}, {-2, 8, -22, 91, 67, -20, 8, -2}, + {-2, 8, -22, 89, 69, -20, 8, -2}, {-2, 8, -22, 87, 72, -21, 8, -2}, + {-2, 8, -21, 84, 74, -21, 8, -2}, {-2, 8, -22, 82, 77, -21, 8, -2}, + {-2, 8, -21, 79, 79, -21, 8, -2}, {-2, 8, -21, 77, 82, -22, 8, -2}, + {-2, 8, -21, 74, 84, -21, 8, -2}, {-2, 8, -21, 72, 87, -22, 8, -2}, + {-2, 8, -20, 69, 89, -22, 8, -2}, {-2, 8, -20, 67, 91, -22, 8, -2}, + {-2, 7, -19, 64, 94, -22, 8, -2}, {-2, 7, -19, 62, 96, -22, 8, -2}, + {-2, 7, -18, 59, 98, -22, 8, -2}, {-2, 7, -18, 56, 100, -21, 8, -2}, + {-2, 7, -17, 54, 102, -21, 7, -2}, {-2, 7, -16, 51, 104, -21, 7, -2}, + {-2, 6, -16, 49, 106, -20, 7, -2}, {-2, 6, -15, 46, 108, -20, 7, -2}, + {-2, 6, -15, 43, 110, -19, 7, -2}, {-2, 6, -14, 41, 111, -19, 7, -2}, + {-1, 5, -13, 38, 113, -18, 6, -2}, {-1, 5, -12, 35, 114, -17, 6, -2}, + {-1, 5, -12, 33, 116, -17, 6, -2}, {-1, 4, -11, 30, 118, -16, 5, -1}, + {-1, 4, -10, 27, 119, -15, 5, -1}, {-1, 4, -9, 25, 120, -14, 5, -2}, + {-1, 3, -8, 23, 121, -13, 4, -1}, {-1, 3, -7, 20, 122, -12, 4, -1}, + {-1, 3, -7, 18, 123, -11, 4, -1}, {-1, 3, -6, 16, 124, -10, 3, -1}, + {-1, 2, -5, 13, 125, -8, 3, -1}, {-1, 2, -4, 11, 126, -7, 2, -1}, + { 0, 1, -3, 8, 126, -6, 2, 0}, { 0, 1, -2, 6, 127, -5, 1, 0}, + { 0, 1, -2, 4, 127, -3, 1, 0}, { 0, 0, 0, 2, 127, -1, 0, 0}, + + // [1, 2) + { 0, 0, 0, 1, 127, 0, 0, 0 }, { 0, 0, 0, - 1, 127, 2, 0, 0 }, + { 0, 0, 1, - 3, 127, 4, - 1, 0 }, { 0, 0, 1, - 4, 126, 6, - 2, 1 }, + { 0, 0, 1, - 5, 126, 8, - 3, 1 }, { 0, 0, 1, - 6, 125, 11, - 4, 1 }, + { 0, 0, 1, - 7, 124, 13, - 4, 1 }, { 0, 0, 2, - 8, 123, 15, - 5, 1 }, + { 0, 0, 2, - 9, 122, 18, - 6, 1 }, { 0, 0, 2, -10, 121, 20, - 6, 1 }, + { 0, 0, 2, -11, 120, 22, - 7, 2 }, { 0, 0, 2, -12, 119, 25, - 8, 2 }, + { 0, 0, 3, -13, 117, 27, - 8, 2 }, { 0, 0, 3, -13, 116, 29, - 9, 2 }, + { 0, 0, 3, -14, 114, 32, -10, 3 }, { 0, 0, 3, -15, 113, 35, -10, 2 }, + { 0, 0, 3, -15, 111, 37, -11, 3 }, { 0, 0, 3, -16, 109, 40, -11, 3 }, + { 0, 0, 3, -16, 108, 42, -12, 3 }, { 0, 0, 4, -17, 106, 45, -13, 3 }, + { 0, 0, 4, -17, 104, 47, -13, 3 }, { 0, 0, 4, -17, 102, 50, -14, 3 }, + { 0, 0, 4, -17, 100, 52, -14, 3 }, { 0, 0, 4, -18, 98, 55, -15, 4 }, + { 0, 0, 4, -18, 96, 58, -15, 3 }, { 0, 0, 4, -18, 94, 60, -16, 4 }, + { 0, 0, 4, -18, 91, 63, -16, 4 }, { 0, 0, 4, -18, 89, 65, -16, 4 }, + { 0, 0, 4, -18, 87, 68, -17, 4 }, { 0, 0, 4, -18, 85, 70, -17, 4 }, + { 0, 0, 4, -18, 82, 73, -17, 4 }, { 0, 0, 4, -18, 80, 75, -17, 4 }, + { 0, 0, 4, -18, 78, 78, -18, 4 }, { 0, 0, 4, -17, 75, 80, -18, 4 }, + { 0, 0, 4, -17, 73, 82, -18, 4 }, { 0, 0, 4, -17, 70, 85, -18, 4 }, + { 0, 0, 4, -17, 68, 87, -18, 4 }, { 0, 0, 4, -16, 65, 89, -18, 4 }, + { 0, 0, 4, -16, 63, 91, -18, 4 }, { 0, 0, 4, -16, 60, 94, -18, 4 }, + { 0, 0, 3, -15, 58, 96, -18, 4 }, { 0, 0, 4, -15, 55, 98, -18, 4 }, + { 0, 0, 3, -14, 52, 100, -17, 4 }, { 0, 0, 3, -14, 50, 102, -17, 4 }, + { 0, 0, 3, -13, 47, 104, -17, 4 }, { 0, 0, 3, -13, 45, 106, -17, 4 }, + { 0, 0, 3, -12, 42, 108, -16, 3 }, { 0, 0, 3, -11, 40, 109, -16, 3 }, + { 0, 0, 3, -11, 37, 111, -15, 3 }, { 0, 0, 2, -10, 35, 113, -15, 3 }, + { 0, 0, 3, -10, 32, 114, -14, 3 }, { 0, 0, 2, - 9, 29, 116, -13, 3 }, + { 0, 0, 2, - 8, 27, 117, -13, 3 }, { 0, 0, 2, - 8, 25, 119, -12, 2 }, + { 0, 0, 2, - 7, 22, 120, -11, 2 }, { 0, 0, 1, - 6, 20, 121, -10, 2 }, + { 0, 0, 1, - 6, 18, 122, - 9, 2 }, { 0, 0, 1, - 5, 15, 123, - 8, 2 }, + { 0, 0, 1, - 4, 13, 124, - 7, 1 }, { 0, 0, 1, - 4, 11, 125, - 6, 1 }, + { 0, 0, 1, - 3, 8, 126, - 5, 1 }, { 0, 0, 1, - 2, 6, 126, - 4, 1 }, + { 0, 0, 0, - 1, 4, 127, - 3, 1 }, { 0, 0, 0, 0, 2, 127, - 1, 0 }, + // dummy (replicate row index 191) + { 0, 0, 0, 0, 2, 127, - 1, 0 }, + +#elif WARPEDPIXEL_PREC_BITS == 5 + // [-1, 0) + {0, 0, 127, 1, 0, 0, 0, 0}, {1, -3, 127, 4, -1, 0, 0, 0}, + {1, -5, 126, 8, -3, 1, 0, 0}, {1, -7, 124, 13, -4, 1, 0, 0}, + {2, -9, 122, 18, -6, 1, 0, 0}, {2, -11, 120, 22, -7, 2, 0, 0}, + {3, -13, 117, 27, -8, 2, 0, 0}, {3, -14, 114, 32, -10, 3, 0, 0}, + {3, -15, 111, 37, -11, 3, 0, 0}, {3, -16, 108, 42, -12, 3, 0, 0}, + {4, -17, 104, 47, -13, 3, 0, 0}, {4, -17, 100, 52, -14, 3, 0, 0}, + {4, -18, 96, 58, -15, 3, 0, 0}, {4, -18, 91, 63, -16, 4, 0, 0}, + {4, -18, 87, 68, -17, 4, 0, 0}, {4, -18, 82, 73, -17, 4, 0, 0}, + {4, -18, 78, 78, -18, 4, 0, 0}, {4, -17, 73, 82, -18, 4, 0, 0}, + {4, -17, 68, 87, -18, 4, 0, 0}, {4, -16, 63, 91, -18, 4, 0, 0}, + {3, -15, 58, 96, -18, 4, 0, 0}, {3, -14, 52, 100, -17, 4, 0, 0}, + {3, -13, 47, 104, -17, 4, 0, 0}, {3, -12, 42, 108, -16, 3, 0, 0}, + {3, -11, 37, 111, -15, 3, 0, 0}, {3, -10, 32, 114, -14, 3, 0, 0}, + {2, -8, 27, 117, -13, 3, 0, 0}, {2, -7, 22, 120, -11, 2, 0, 0}, + {1, -6, 18, 122, -9, 2, 0, 0}, {1, -4, 13, 124, -7, 1, 0, 0}, + {1, -3, 8, 126, -5, 1, 0, 0}, {0, -1, 4, 127, -3, 1, 0, 0}, + // [0, 1) + { 0, 0, 0, 127, 1, 0, 0, 0}, { 0, 1, -3, 127, 4, -2, 1, 0}, + { 0, 2, -6, 126, 8, -3, 1, 0}, {-1, 3, -8, 125, 13, -5, 2, -1}, + {-1, 4, -11, 123, 18, -7, 3, -1}, {-1, 4, -13, 121, 23, -8, 3, -1}, + {-1, 5, -15, 119, 27, -10, 4, -1}, {-2, 6, -17, 116, 33, -12, 5, -1}, + {-2, 6, -18, 113, 38, -13, 5, -1}, {-2, 7, -19, 110, 43, -15, 6, -2}, + {-2, 7, -20, 106, 49, -16, 6, -2}, {-2, 7, -21, 102, 54, -17, 7, -2}, + {-2, 8, -22, 98, 59, -18, 7, -2}, {-2, 8, -22, 94, 64, -19, 7, -2}, + {-2, 8, -22, 89, 69, -20, 8, -2}, {-2, 8, -21, 84, 74, -21, 8, -2}, + {-2, 8, -21, 79, 79, -21, 8, -2}, {-2, 8, -21, 74, 84, -21, 8, -2}, + {-2, 8, -20, 69, 89, -22, 8, -2}, {-2, 7, -19, 64, 94, -22, 8, -2}, + {-2, 7, -18, 59, 98, -22, 8, -2}, {-2, 7, -17, 54, 102, -21, 7, -2}, + {-2, 6, -16, 49, 106, -20, 7, -2}, {-2, 6, -15, 43, 110, -19, 7, -2}, + {-1, 5, -13, 38, 113, -18, 6, -2}, {-1, 5, -12, 33, 116, -17, 6, -2}, + {-1, 4, -10, 27, 119, -15, 5, -1}, {-1, 3, -8, 23, 121, -13, 4, -1}, + {-1, 3, -7, 18, 123, -11, 4, -1}, {-1, 2, -5, 13, 125, -8, 3, -1}, + { 0, 1, -3, 8, 126, -6, 2, 0}, { 0, 1, -2, 4, 127, -3, 1, 0}, + // [1, 2) + {0, 0, 0, 1, 127, 0, 0, 0}, {0, 0, 1, -3, 127, 4, -1, 0}, + {0, 0, 1, -5, 126, 8, -3, 1}, {0, 0, 1, -7, 124, 13, -4, 1}, + {0, 0, 2, -9, 122, 18, -6, 1}, {0, 0, 2, -11, 120, 22, -7, 2}, + {0, 0, 3, -13, 117, 27, -8, 2}, {0, 0, 3, -14, 114, 32, -10, 3}, + {0, 0, 3, -15, 111, 37, -11, 3}, {0, 0, 3, -16, 108, 42, -12, 3}, + {0, 0, 4, -17, 104, 47, -13, 3}, {0, 0, 4, -17, 100, 52, -14, 3}, + {0, 0, 4, -18, 96, 58, -15, 3}, {0, 0, 4, -18, 91, 63, -16, 4}, + {0, 0, 4, -18, 87, 68, -17, 4}, {0, 0, 4, -18, 82, 73, -17, 4}, + {0, 0, 4, -18, 78, 78, -18, 4}, {0, 0, 4, -17, 73, 82, -18, 4}, + {0, 0, 4, -17, 68, 87, -18, 4}, {0, 0, 4, -16, 63, 91, -18, 4}, + {0, 0, 3, -15, 58, 96, -18, 4}, {0, 0, 3, -14, 52, 100, -17, 4}, + {0, 0, 3, -13, 47, 104, -17, 4}, {0, 0, 3, -12, 42, 108, -16, 3}, + {0, 0, 3, -11, 37, 111, -15, 3}, {0, 0, 3, -10, 32, 114, -14, 3}, + {0, 0, 2, -8, 27, 117, -13, 3}, {0, 0, 2, -7, 22, 120, -11, 2}, + {0, 0, 1, -6, 18, 122, -9, 2}, {0, 0, 1, -4, 13, 124, -7, 1}, + {0, 0, 1, -3, 8, 126, -5, 1}, {0, 0, 0, -1, 4, 127, -3, 1}, + // dummy (replicate row index 95) + {0, 0, 0, -1, 4, 127, -3, 1}, + +#endif // WARPEDPIXEL_PREC_BITS == 6 +}; + +/* clang-format on */ + +#define DIV_LUT_PREC_BITS 14 +#define DIV_LUT_BITS 8 +#define DIV_LUT_NUM (1 << DIV_LUT_BITS) + +static const uint16_t div_lut[DIV_LUT_NUM + 1] = { + 16384, 16320, 16257, 16194, 16132, 16070, 16009, 15948, 15888, 15828, 15768, + 15709, 15650, 15592, 15534, 15477, 15420, 15364, 15308, 15252, 15197, 15142, + 15087, 15033, 14980, 14926, 14873, 14821, 14769, 14717, 14665, 14614, 14564, + 14513, 14463, 14413, 14364, 14315, 14266, 14218, 14170, 14122, 14075, 14028, + 13981, 13935, 13888, 13843, 13797, 13752, 13707, 13662, 13618, 13574, 13530, + 13487, 13443, 13400, 13358, 13315, 13273, 13231, 13190, 13148, 13107, 13066, + 13026, 12985, 12945, 12906, 12866, 12827, 12788, 12749, 12710, 12672, 12633, + 12596, 12558, 12520, 12483, 12446, 12409, 12373, 12336, 12300, 12264, 12228, + 12193, 12157, 12122, 12087, 12053, 12018, 11984, 11950, 11916, 11882, 11848, + 11815, 11782, 11749, 11716, 11683, 11651, 11619, 11586, 11555, 11523, 11491, + 11460, 11429, 11398, 11367, 11336, 11305, 11275, 11245, 11215, 11185, 11155, + 11125, 11096, 11067, 11038, 11009, 10980, 10951, 10923, 10894, 10866, 10838, + 10810, 10782, 10755, 10727, 10700, 10673, 10645, 10618, 10592, 10565, 10538, + 10512, 10486, 10460, 10434, 10408, 10382, 10356, 10331, 10305, 10280, 10255, + 10230, 10205, 10180, 10156, 10131, 10107, 10082, 10058, 10034, 10010, 9986, + 9963, 9939, 9916, 9892, 9869, 9846, 9823, 9800, 9777, 9754, 9732, + 9709, 9687, 9664, 9642, 9620, 9598, 9576, 9554, 9533, 9511, 9489, + 9468, 9447, 9425, 9404, 9383, 9362, 9341, 9321, 9300, 9279, 9259, + 9239, 9218, 9198, 9178, 9158, 9138, 9118, 9098, 9079, 9059, 9039, + 9020, 9001, 8981, 8962, 8943, 8924, 8905, 8886, 8867, 8849, 8830, + 8812, 8793, 8775, 8756, 8738, 8720, 8702, 8684, 8666, 8648, 8630, + 8613, 8595, 8577, 8560, 8542, 8525, 8508, 8490, 8473, 8456, 8439, + 8422, 8405, 8389, 8372, 8355, 8339, 8322, 8306, 8289, 8273, 8257, + 8240, 8224, 8208, 8192, +}; + +// Decomposes a divisor D such that 1/D = y/2^shift, where y is returned +// at precision of DIV_LUT_PREC_BITS along with the shift. +static int16_t resolve_divisor_64(uint64_t D, int16_t *shift) { + int64_t f; + *shift = (int16_t)((D >> 32) ? get_msb((unsigned int)(D >> 32)) + 32 + : get_msb((unsigned int)D)); + // e is obtained from D after resetting the most significant 1 bit. + const int64_t e = D - ((uint64_t)1 << *shift); + // Get the most significant DIV_LUT_BITS (8) bits of e into f + if (*shift > DIV_LUT_BITS) + f = ROUND_POWER_OF_TWO_64(e, *shift - DIV_LUT_BITS); + else + f = e << (DIV_LUT_BITS - *shift); + assert(f <= DIV_LUT_NUM); + *shift += DIV_LUT_PREC_BITS; + // Use f as lookup into the precomputed table of multipliers + return div_lut[f]; +} + +static int16_t resolve_divisor_32(uint32_t D, int16_t *shift) { + int32_t f; + *shift = get_msb(D); + // e is obtained from D after resetting the most significant 1 bit. + const int32_t e = D - ((uint32_t)1 << *shift); + // Get the most significant DIV_LUT_BITS (8) bits of e into f + if (*shift > DIV_LUT_BITS) + f = ROUND_POWER_OF_TWO(e, *shift - DIV_LUT_BITS); + else + f = e << (DIV_LUT_BITS - *shift); + assert(f <= DIV_LUT_NUM); + *shift += DIV_LUT_PREC_BITS; + // Use f as lookup into the precomputed table of multipliers + return div_lut[f]; +} + +static int is_affine_valid(const WarpedMotionParams *const wm) { + const int32_t *mat = wm->wmmat; + return (mat[2] > 0); +} + +static int is_affine_shear_allowed(int16_t alpha, int16_t beta, int16_t gamma, + int16_t delta) { + if ((4 * abs(alpha) + 7 * abs(beta) >= (1 << WARPEDMODEL_PREC_BITS)) || + (4 * abs(gamma) + 4 * abs(delta) >= (1 << WARPEDMODEL_PREC_BITS))) + return 0; + else + return 1; +} + +// Returns 1 on success or 0 on an invalid affine set +int get_shear_params(WarpedMotionParams *wm) { + const int32_t *mat = wm->wmmat; + if (!is_affine_valid(wm)) return 0; + wm->alpha = + clamp(mat[2] - (1 << WARPEDMODEL_PREC_BITS), INT16_MIN, INT16_MAX); + wm->beta = clamp(mat[3], INT16_MIN, INT16_MAX); + int16_t shift; + int16_t y = resolve_divisor_32(abs(mat[2]), &shift) * (mat[2] < 0 ? -1 : 1); + int64_t v = ((int64_t)mat[4] * (1 << WARPEDMODEL_PREC_BITS)) * y; + wm->gamma = + clamp((int)ROUND_POWER_OF_TWO_SIGNED_64(v, shift), INT16_MIN, INT16_MAX); + v = ((int64_t)mat[3] * mat[4]) * y; + wm->delta = clamp(mat[5] - (int)ROUND_POWER_OF_TWO_SIGNED_64(v, shift) - + (1 << WARPEDMODEL_PREC_BITS), + INT16_MIN, INT16_MAX); + + wm->alpha = ROUND_POWER_OF_TWO_SIGNED(wm->alpha, WARP_PARAM_REDUCE_BITS) * + (1 << WARP_PARAM_REDUCE_BITS); + wm->beta = ROUND_POWER_OF_TWO_SIGNED(wm->beta, WARP_PARAM_REDUCE_BITS) * + (1 << WARP_PARAM_REDUCE_BITS); + wm->gamma = ROUND_POWER_OF_TWO_SIGNED(wm->gamma, WARP_PARAM_REDUCE_BITS) * + (1 << WARP_PARAM_REDUCE_BITS); + wm->delta = ROUND_POWER_OF_TWO_SIGNED(wm->delta, WARP_PARAM_REDUCE_BITS) * + (1 << WARP_PARAM_REDUCE_BITS); + + if (!is_affine_shear_allowed(wm->alpha, wm->beta, wm->gamma, wm->delta)) + return 0; + + return 1; +} + +static INLINE int highbd_error_measure(int err, int bd) { + const int b = bd - 8; + const int bmask = (1 << b) - 1; + const int v = (1 << b); + err = abs(err); + const int e1 = err >> b; + const int e2 = err & bmask; + return error_measure_lut[255 + e1] * (v - e2) + + error_measure_lut[256 + e1] * e2; +} + +/* Note: For an explanation of the warp algorithm, and some notes on bit widths + for hardware implementations, see the comments above av1_warp_affine_c +*/ +void av1_highbd_warp_affine_c(const int32_t *mat, const uint16_t *ref, + int width, int height, int stride, uint16_t *pred, + int p_col, int p_row, int p_width, int p_height, + int p_stride, int subsampling_x, + int subsampling_y, int bd, + ConvolveParams *conv_params, int16_t alpha, + int16_t beta, int16_t gamma, int16_t delta) { + int32_t tmp[15 * 8]; + const int reduce_bits_horiz = + conv_params->round_0 + + AOMMAX(bd + FILTER_BITS - conv_params->round_0 - 14, 0); + const int reduce_bits_vert = conv_params->is_compound + ? conv_params->round_1 + : 2 * FILTER_BITS - reduce_bits_horiz; + const int max_bits_horiz = bd + FILTER_BITS + 1 - reduce_bits_horiz; + const int offset_bits_horiz = bd + FILTER_BITS - 1; + const int offset_bits_vert = bd + 2 * FILTER_BITS - reduce_bits_horiz; + const int round_bits = + 2 * FILTER_BITS - conv_params->round_0 - conv_params->round_1; + const int offset_bits = bd + 2 * FILTER_BITS - conv_params->round_0; + (void)max_bits_horiz; + assert(IMPLIES(conv_params->is_compound, conv_params->dst != NULL)); + + for (int i = p_row; i < p_row + p_height; i += 8) { + for (int j = p_col; j < p_col + p_width; j += 8) { + // Calculate the center of this 8x8 block, + // project to luma coordinates (if in a subsampled chroma plane), + // apply the affine transformation, + // then convert back to the original coordinates (if necessary) + const int32_t src_x = (j + 4) << subsampling_x; + const int32_t src_y = (i + 4) << subsampling_y; + const int32_t dst_x = mat[2] * src_x + mat[3] * src_y + mat[0]; + const int32_t dst_y = mat[4] * src_x + mat[5] * src_y + mat[1]; + const int32_t x4 = dst_x >> subsampling_x; + const int32_t y4 = dst_y >> subsampling_y; + + const int32_t ix4 = x4 >> WARPEDMODEL_PREC_BITS; + int32_t sx4 = x4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); + const int32_t iy4 = y4 >> WARPEDMODEL_PREC_BITS; + int32_t sy4 = y4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); + + sx4 += alpha * (-4) + beta * (-4); + sy4 += gamma * (-4) + delta * (-4); + + sx4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); + sy4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); + + // Horizontal filter + for (int k = -7; k < 8; ++k) { + const int iy = clamp(iy4 + k, 0, height - 1); + + int sx = sx4 + beta * (k + 4); + for (int l = -4; l < 4; ++l) { + int ix = ix4 + l - 3; + const int offs = ROUND_POWER_OF_TWO(sx, WARPEDDIFF_PREC_BITS) + + WARPEDPIXEL_PREC_SHIFTS; + assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); + const int16_t *coeffs = warped_filter[offs]; + + int32_t sum = 1 << offset_bits_horiz; + for (int m = 0; m < 8; ++m) { + const int sample_x = clamp(ix + m, 0, width - 1); + sum += ref[iy * stride + sample_x] * coeffs[m]; + } + sum = ROUND_POWER_OF_TWO(sum, reduce_bits_horiz); + assert(0 <= sum && sum < (1 << max_bits_horiz)); + tmp[(k + 7) * 8 + (l + 4)] = sum; + sx += alpha; + } + } + + // Vertical filter + for (int k = -4; k < AOMMIN(4, p_row + p_height - i - 4); ++k) { + int sy = sy4 + delta * (k + 4); + for (int l = -4; l < AOMMIN(4, p_col + p_width - j - 4); ++l) { + const int offs = ROUND_POWER_OF_TWO(sy, WARPEDDIFF_PREC_BITS) + + WARPEDPIXEL_PREC_SHIFTS; + assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); + const int16_t *coeffs = warped_filter[offs]; + + int32_t sum = 1 << offset_bits_vert; + for (int m = 0; m < 8; ++m) { + sum += tmp[(k + m + 4) * 8 + (l + 4)] * coeffs[m]; + } + + if (conv_params->is_compound) { + CONV_BUF_TYPE *p = + &conv_params + ->dst[(i - p_row + k + 4) * conv_params->dst_stride + + (j - p_col + l + 4)]; + sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); + if (conv_params->do_average) { + uint16_t *dst16 = + &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; + int32_t tmp32 = *p; + if (conv_params->use_jnt_comp_avg) { + tmp32 = tmp32 * conv_params->fwd_offset + + sum * conv_params->bck_offset; + tmp32 = tmp32 >> DIST_PRECISION_BITS; + } else { + tmp32 += sum; + tmp32 = tmp32 >> 1; + } + tmp32 = tmp32 - (1 << (offset_bits - conv_params->round_1)) - + (1 << (offset_bits - conv_params->round_1 - 1)); + *dst16 = + clip_pixel_highbd(ROUND_POWER_OF_TWO(tmp32, round_bits), bd); + } else { + *p = sum; + } + } else { + uint16_t *p = + &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; + sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); + assert(0 <= sum && sum < (1 << (bd + 2))); + *p = clip_pixel_highbd(sum - (1 << (bd - 1)) - (1 << bd), bd); + } + sy += gamma; + } + } + } + } +} + +static void highbd_warp_plane(WarpedMotionParams *wm, const uint8_t *const ref8, + int width, int height, int stride, + const uint8_t *const pred8, int p_col, int p_row, + int p_width, int p_height, int p_stride, + int subsampling_x, int subsampling_y, int bd, + ConvolveParams *conv_params) { + assert(wm->wmtype <= AFFINE); + if (wm->wmtype == ROTZOOM) { + wm->wmmat[5] = wm->wmmat[2]; + wm->wmmat[4] = -wm->wmmat[3]; + } + const int32_t *const mat = wm->wmmat; + const int16_t alpha = wm->alpha; + const int16_t beta = wm->beta; + const int16_t gamma = wm->gamma; + const int16_t delta = wm->delta; + + const uint16_t *const ref = CONVERT_TO_SHORTPTR(ref8); + uint16_t *pred = CONVERT_TO_SHORTPTR(pred8); + av1_highbd_warp_affine(mat, ref, width, height, stride, pred, p_col, p_row, + p_width, p_height, p_stride, subsampling_x, + subsampling_y, bd, conv_params, alpha, beta, gamma, + delta); +} + +static int64_t highbd_frame_error(const uint16_t *const ref, int stride, + const uint16_t *const dst, int p_width, + int p_height, int p_stride, int bd) { + int64_t sum_error = 0; + for (int i = 0; i < p_height; ++i) { + for (int j = 0; j < p_width; ++j) { + sum_error += + highbd_error_measure(dst[j + i * p_stride] - ref[j + i * stride], bd); + } + } + return sum_error; +} + +static int64_t highbd_warp_error( + WarpedMotionParams *wm, const uint8_t *const ref8, int width, int height, + int stride, const uint8_t *const dst8, int p_col, int p_row, int p_width, + int p_height, int p_stride, int subsampling_x, int subsampling_y, int bd, + int64_t best_error) { + int64_t gm_sumerr = 0; + const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK); + const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK); + uint16_t tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK]; + + ConvolveParams conv_params = get_conv_params(0, 0, bd); + conv_params.use_jnt_comp_avg = 0; + for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) { + for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) { + // avoid warping extra 8x8 blocks in the padded region of the frame + // when p_width and p_height are not multiples of WARP_ERROR_BLOCK + const int warp_w = AOMMIN(error_bsize_w, p_col + p_width - j); + const int warp_h = AOMMIN(error_bsize_h, p_row + p_height - i); + highbd_warp_plane(wm, ref8, width, height, stride, + CONVERT_TO_BYTEPTR(tmp), j, i, warp_w, warp_h, + WARP_ERROR_BLOCK, subsampling_x, subsampling_y, bd, + &conv_params); + + gm_sumerr += highbd_frame_error( + tmp, WARP_ERROR_BLOCK, CONVERT_TO_SHORTPTR(dst8) + j + i * p_stride, + warp_w, warp_h, p_stride, bd); + if (gm_sumerr > best_error) return gm_sumerr; + } + } + return gm_sumerr; +} + +static INLINE int error_measure(int err) { + return error_measure_lut[255 + err]; +} + +/* The warp filter for ROTZOOM and AFFINE models works as follows: + * Split the input into 8x8 blocks + * For each block, project the point (4, 4) within the block, to get the + overall block position. Split into integer and fractional coordinates, + maintaining full WARPEDMODEL precision + * Filter horizontally: Generate 15 rows of 8 pixels each. Each pixel gets a + variable horizontal offset. This means that, while the rows of the + intermediate buffer align with the rows of the *reference* image, the + columns align with the columns of the *destination* image. + * Filter vertically: Generate the output block (up to 8x8 pixels, but if the + destination is too small we crop the output at this stage). Each pixel has + a variable vertical offset, so that the resulting rows are aligned with + the rows of the destination image. + + To accomplish these alignments, we factor the warp matrix as a + product of two shear / asymmetric zoom matrices: + / a b \ = / 1 0 \ * / 1+alpha beta \ + \ c d / \ gamma 1+delta / \ 0 1 / + where a, b, c, d are wmmat[2], wmmat[3], wmmat[4], wmmat[5] respectively. + The horizontal shear (with alpha and beta) is applied first, + then the vertical shear (with gamma and delta) is applied second. + + The only limitation is that, to fit this in a fixed 8-tap filter size, + the fractional pixel offsets must be at most +-1. Since the horizontal filter + generates 15 rows of 8 columns, and the initial point we project is at (4, 4) + within the block, the parameters must satisfy + 4 * |alpha| + 7 * |beta| <= 1 and 4 * |gamma| + 4 * |delta| <= 1 + for this filter to be applicable. + + Note: This function assumes that the caller has done all of the relevant + checks, ie. that we have a ROTZOOM or AFFINE model, that wm[4] and wm[5] + are set appropriately (if using a ROTZOOM model), and that alpha, beta, + gamma, delta are all in range. + + TODO(david.barker): Maybe support scaled references? +*/ +/* A note on hardware implementation: + The warp filter is intended to be implementable using the same hardware as + the high-precision convolve filters from the loop-restoration and + convolve-round experiments. + + For a single filter stage, considering all of the coefficient sets for the + warp filter and the regular convolution filter, an input in the range + [0, 2^k - 1] is mapped into the range [-56 * (2^k - 1), 184 * (2^k - 1)] + before rounding. + + Allowing for some changes to the filter coefficient sets, call the range + [-64 * 2^k, 192 * 2^k]. Then, if we initialize the accumulator to 64 * 2^k, + we can replace this by the range [0, 256 * 2^k], which can be stored in an + unsigned value with 8 + k bits. + + This allows the derivation of the appropriate bit widths and offsets for + the various intermediate values: If + + F := FILTER_BITS = 7 (or else the above ranges need adjusting) + So a *single* filter stage maps a k-bit input to a (k + F + 1)-bit + intermediate value. + H := ROUND0_BITS + V := VERSHEAR_REDUCE_PREC_BITS + (and note that we must have H + V = 2*F for the output to have the same + scale as the input) + + then we end up with the following offsets and ranges: + Horizontal filter: Apply an offset of 1 << (bd + F - 1), sum fits into a + uint{bd + F + 1} + After rounding: The values stored in 'tmp' fit into a uint{bd + F + 1 - H}. + Vertical filter: Apply an offset of 1 << (bd + 2*F - H), sum fits into a + uint{bd + 2*F + 2 - H} + After rounding: The final value, before undoing the offset, fits into a + uint{bd + 2}. + + Then we need to undo the offsets before clamping to a pixel. Note that, + if we do this at the end, the amount to subtract is actually independent + of H and V: + + offset to subtract = (1 << ((bd + F - 1) - H + F - V)) + + (1 << ((bd + 2*F - H) - V)) + == (1 << (bd - 1)) + (1 << bd) + + This allows us to entirely avoid clamping in both the warp filter and + the convolve-round experiment. As of the time of writing, the Wiener filter + from loop-restoration can encode a central coefficient up to 216, which + leads to a maximum value of about 282 * 2^k after applying the offset. + So in that case we still need to clamp. +*/ +void av1_warp_affine_c(const int32_t *mat, const uint8_t *ref, int width, + int height, int stride, uint8_t *pred, int p_col, + int p_row, int p_width, int p_height, int p_stride, + int subsampling_x, int subsampling_y, + ConvolveParams *conv_params, int16_t alpha, int16_t beta, + int16_t gamma, int16_t delta) { + int32_t tmp[15 * 8]; + const int bd = 8; + const int reduce_bits_horiz = conv_params->round_0; + const int reduce_bits_vert = conv_params->is_compound + ? conv_params->round_1 + : 2 * FILTER_BITS - reduce_bits_horiz; + const int max_bits_horiz = bd + FILTER_BITS + 1 - reduce_bits_horiz; + const int offset_bits_horiz = bd + FILTER_BITS - 1; + const int offset_bits_vert = bd + 2 * FILTER_BITS - reduce_bits_horiz; + const int round_bits = + 2 * FILTER_BITS - conv_params->round_0 - conv_params->round_1; + const int offset_bits = bd + 2 * FILTER_BITS - conv_params->round_0; + (void)max_bits_horiz; + assert(IMPLIES(conv_params->is_compound, conv_params->dst != NULL)); + assert(IMPLIES(conv_params->do_average, conv_params->is_compound)); + + for (int i = p_row; i < p_row + p_height; i += 8) { + for (int j = p_col; j < p_col + p_width; j += 8) { + // Calculate the center of this 8x8 block, + // project to luma coordinates (if in a subsampled chroma plane), + // apply the affine transformation, + // then convert back to the original coordinates (if necessary) + const int32_t src_x = (j + 4) << subsampling_x; + const int32_t src_y = (i + 4) << subsampling_y; + const int32_t dst_x = mat[2] * src_x + mat[3] * src_y + mat[0]; + const int32_t dst_y = mat[4] * src_x + mat[5] * src_y + mat[1]; + const int32_t x4 = dst_x >> subsampling_x; + const int32_t y4 = dst_y >> subsampling_y; + + int32_t ix4 = x4 >> WARPEDMODEL_PREC_BITS; + int32_t sx4 = x4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); + int32_t iy4 = y4 >> WARPEDMODEL_PREC_BITS; + int32_t sy4 = y4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); + + sx4 += alpha * (-4) + beta * (-4); + sy4 += gamma * (-4) + delta * (-4); + + sx4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); + sy4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); + + // Horizontal filter + for (int k = -7; k < 8; ++k) { + // Clamp to top/bottom edge of the frame + const int iy = clamp(iy4 + k, 0, height - 1); + + int sx = sx4 + beta * (k + 4); + + for (int l = -4; l < 4; ++l) { + int ix = ix4 + l - 3; + // At this point, sx = sx4 + alpha * l + beta * k + const int offs = ROUND_POWER_OF_TWO(sx, WARPEDDIFF_PREC_BITS) + + WARPEDPIXEL_PREC_SHIFTS; + assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); + const int16_t *coeffs = warped_filter[offs]; + + int32_t sum = 1 << offset_bits_horiz; + for (int m = 0; m < 8; ++m) { + // Clamp to left/right edge of the frame + const int sample_x = clamp(ix + m, 0, width - 1); + + sum += ref[iy * stride + sample_x] * coeffs[m]; + } + sum = ROUND_POWER_OF_TWO(sum, reduce_bits_horiz); + assert(0 <= sum && sum < (1 << max_bits_horiz)); + tmp[(k + 7) * 8 + (l + 4)] = sum; + sx += alpha; + } + } + + // Vertical filter + for (int k = -4; k < AOMMIN(4, p_row + p_height - i - 4); ++k) { + int sy = sy4 + delta * (k + 4); + for (int l = -4; l < AOMMIN(4, p_col + p_width - j - 4); ++l) { + // At this point, sy = sy4 + gamma * l + delta * k + const int offs = ROUND_POWER_OF_TWO(sy, WARPEDDIFF_PREC_BITS) + + WARPEDPIXEL_PREC_SHIFTS; + assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); + const int16_t *coeffs = warped_filter[offs]; + + int32_t sum = 1 << offset_bits_vert; + for (int m = 0; m < 8; ++m) { + sum += tmp[(k + m + 4) * 8 + (l + 4)] * coeffs[m]; + } + + if (conv_params->is_compound) { + CONV_BUF_TYPE *p = + &conv_params + ->dst[(i - p_row + k + 4) * conv_params->dst_stride + + (j - p_col + l + 4)]; + sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); + if (conv_params->do_average) { + uint8_t *dst8 = + &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; + int32_t tmp32 = *p; + if (conv_params->use_jnt_comp_avg) { + tmp32 = tmp32 * conv_params->fwd_offset + + sum * conv_params->bck_offset; + tmp32 = tmp32 >> DIST_PRECISION_BITS; + } else { + tmp32 += sum; + tmp32 = tmp32 >> 1; + } + tmp32 = tmp32 - (1 << (offset_bits - conv_params->round_1)) - + (1 << (offset_bits - conv_params->round_1 - 1)); + *dst8 = clip_pixel(ROUND_POWER_OF_TWO(tmp32, round_bits)); + } else { + *p = sum; + } + } else { + uint8_t *p = + &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; + sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); + assert(0 <= sum && sum < (1 << (bd + 2))); + *p = clip_pixel(sum - (1 << (bd - 1)) - (1 << bd)); + } + sy += gamma; + } + } + } + } +} + +static void warp_plane(WarpedMotionParams *wm, const uint8_t *const ref, + int width, int height, int stride, uint8_t *pred, + int p_col, int p_row, int p_width, int p_height, + int p_stride, int subsampling_x, int subsampling_y, + ConvolveParams *conv_params) { + assert(wm->wmtype <= AFFINE); + if (wm->wmtype == ROTZOOM) { + wm->wmmat[5] = wm->wmmat[2]; + wm->wmmat[4] = -wm->wmmat[3]; + } + const int32_t *const mat = wm->wmmat; + const int16_t alpha = wm->alpha; + const int16_t beta = wm->beta; + const int16_t gamma = wm->gamma; + const int16_t delta = wm->delta; + av1_warp_affine(mat, ref, width, height, stride, pred, p_col, p_row, p_width, + p_height, p_stride, subsampling_x, subsampling_y, conv_params, + alpha, beta, gamma, delta); +} + +static int64_t frame_error(const uint8_t *const ref, int stride, + const uint8_t *const dst, int p_width, int p_height, + int p_stride) { + int64_t sum_error = 0; + for (int i = 0; i < p_height; ++i) { + for (int j = 0; j < p_width; ++j) { + sum_error += + (int64_t)error_measure(dst[j + i * p_stride] - ref[j + i * stride]); + } + } + return sum_error; +} + +static int64_t warp_error(WarpedMotionParams *wm, const uint8_t *const ref, + int width, int height, int stride, + const uint8_t *const dst, int p_col, int p_row, + int p_width, int p_height, int p_stride, + int subsampling_x, int subsampling_y, + int64_t best_error) { + int64_t gm_sumerr = 0; + int warp_w, warp_h; + int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK); + int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK); + uint8_t tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK]; + ConvolveParams conv_params = get_conv_params(0, 0, 8); + conv_params.use_jnt_comp_avg = 0; + + for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) { + for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) { + // avoid warping extra 8x8 blocks in the padded region of the frame + // when p_width and p_height are not multiples of WARP_ERROR_BLOCK + warp_w = AOMMIN(error_bsize_w, p_col + p_width - j); + warp_h = AOMMIN(error_bsize_h, p_row + p_height - i); + warp_plane(wm, ref, width, height, stride, tmp, j, i, warp_w, warp_h, + WARP_ERROR_BLOCK, subsampling_x, subsampling_y, &conv_params); + + gm_sumerr += frame_error(tmp, WARP_ERROR_BLOCK, dst + j + i * p_stride, + warp_w, warp_h, p_stride); + if (gm_sumerr > best_error) return gm_sumerr; + } + } + return gm_sumerr; +} + +int64_t av1_frame_error(int use_hbd, int bd, const uint8_t *ref, int stride, + uint8_t *dst, int p_width, int p_height, int p_stride) { + if (use_hbd) { + return highbd_frame_error(CONVERT_TO_SHORTPTR(ref), stride, + CONVERT_TO_SHORTPTR(dst), p_width, p_height, + p_stride, bd); + } + return frame_error(ref, stride, dst, p_width, p_height, p_stride); +} + +int64_t av1_warp_error(WarpedMotionParams *wm, int use_hbd, int bd, + const uint8_t *ref, int width, int height, int stride, + uint8_t *dst, int p_col, int p_row, int p_width, + int p_height, int p_stride, int subsampling_x, + int subsampling_y, int64_t best_error) { + if (wm->wmtype <= AFFINE) + if (!get_shear_params(wm)) return 1; + if (use_hbd) + return highbd_warp_error(wm, ref, width, height, stride, dst, p_col, p_row, + p_width, p_height, p_stride, subsampling_x, + subsampling_y, bd, best_error); + return warp_error(wm, ref, width, height, stride, dst, p_col, p_row, p_width, + p_height, p_stride, subsampling_x, subsampling_y, + best_error); +} + +void av1_warp_plane(WarpedMotionParams *wm, int use_hbd, int bd, + const uint8_t *ref, int width, int height, int stride, + uint8_t *pred, int p_col, int p_row, int p_width, + int p_height, int p_stride, int subsampling_x, + int subsampling_y, ConvolveParams *conv_params) { + if (use_hbd) + highbd_warp_plane(wm, ref, width, height, stride, pred, p_col, p_row, + p_width, p_height, p_stride, subsampling_x, subsampling_y, + bd, conv_params); + else + warp_plane(wm, ref, width, height, stride, pred, p_col, p_row, p_width, + p_height, p_stride, subsampling_x, subsampling_y, conv_params); +} + +#define LS_MV_MAX 256 // max mv in 1/8-pel +// Use LS_STEP = 8 so that 2 less bits needed for A, Bx, By. +#define LS_STEP 8 + +// Assuming LS_MV_MAX is < MAX_SB_SIZE * 8, +// the precision needed is: +// (MAX_SB_SIZE_LOG2 + 3) [for sx * sx magnitude] + +// (MAX_SB_SIZE_LOG2 + 4) [for sx * dx magnitude] + +// 1 [for sign] + +// LEAST_SQUARES_SAMPLES_MAX_BITS +// [for adding up to LEAST_SQUARES_SAMPLES_MAX samples] +// The value is 23 +#define LS_MAT_RANGE_BITS \ + ((MAX_SB_SIZE_LOG2 + 4) * 2 + LEAST_SQUARES_SAMPLES_MAX_BITS) + +// Bit-depth reduction from the full-range +#define LS_MAT_DOWN_BITS 2 + +// bits range of A, Bx and By after downshifting +#define LS_MAT_BITS (LS_MAT_RANGE_BITS - LS_MAT_DOWN_BITS) +#define LS_MAT_MIN (-(1 << (LS_MAT_BITS - 1))) +#define LS_MAT_MAX ((1 << (LS_MAT_BITS - 1)) - 1) + +// By setting LS_STEP = 8, the least 2 bits of every elements in A, Bx, By are +// 0. So, we can reduce LS_MAT_RANGE_BITS(2) bits here. +#define LS_SQUARE(a) \ + (((a) * (a)*4 + (a)*4 * LS_STEP + LS_STEP * LS_STEP * 2) >> \ + (2 + LS_MAT_DOWN_BITS)) +#define LS_PRODUCT1(a, b) \ + (((a) * (b)*4 + ((a) + (b)) * 2 * LS_STEP + LS_STEP * LS_STEP) >> \ + (2 + LS_MAT_DOWN_BITS)) +#define LS_PRODUCT2(a, b) \ + (((a) * (b)*4 + ((a) + (b)) * 2 * LS_STEP + LS_STEP * LS_STEP * 2) >> \ + (2 + LS_MAT_DOWN_BITS)) + +#define USE_LIMITED_PREC_MULT 0 + +#if USE_LIMITED_PREC_MULT + +#define MUL_PREC_BITS 16 +static uint16_t resolve_multiplier_64(uint64_t D, int16_t *shift) { + int msb = 0; + uint16_t mult = 0; + *shift = 0; + if (D != 0) { + msb = (int16_t)((D >> 32) ? get_msb((unsigned int)(D >> 32)) + 32 + : get_msb((unsigned int)D)); + if (msb >= MUL_PREC_BITS) { + mult = (uint16_t)ROUND_POWER_OF_TWO_64(D, msb + 1 - MUL_PREC_BITS); + *shift = msb + 1 - MUL_PREC_BITS; + } else { + mult = (uint16_t)D; + *shift = 0; + } + } + return mult; +} + +static int32_t get_mult_shift_ndiag(int64_t Px, int16_t iDet, int shift) { + int32_t ret; + int16_t mshift; + uint16_t Mul = resolve_multiplier_64(llabs(Px), &mshift); + int32_t v = (int32_t)Mul * (int32_t)iDet * (Px < 0 ? -1 : 1); + shift -= mshift; + if (shift > 0) { + return (int32_t)clamp(ROUND_POWER_OF_TWO_SIGNED(v, shift), + -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); + } else { + return (int32_t)clamp(v * (1 << (-shift)), + -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); + } + return ret; +} + +static int32_t get_mult_shift_diag(int64_t Px, int16_t iDet, int shift) { + int16_t mshift; + uint16_t Mul = resolve_multiplier_64(llabs(Px), &mshift); + int32_t v = (int32_t)Mul * (int32_t)iDet * (Px < 0 ? -1 : 1); + shift -= mshift; + if (shift > 0) { + return (int32_t)clamp( + ROUND_POWER_OF_TWO_SIGNED(v, shift), + (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, + (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); + } else { + return (int32_t)clamp( + v * (1 << (-shift)), + (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, + (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); + } +} + +#else + +static int32_t get_mult_shift_ndiag(int64_t Px, int16_t iDet, int shift) { + int64_t v = Px * (int64_t)iDet; + return (int32_t)clamp64(ROUND_POWER_OF_TWO_SIGNED_64(v, shift), + -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); +} + +static int32_t get_mult_shift_diag(int64_t Px, int16_t iDet, int shift) { + int64_t v = Px * (int64_t)iDet; + return (int32_t)clamp64( + ROUND_POWER_OF_TWO_SIGNED_64(v, shift), + (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, + (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); +} +#endif // USE_LIMITED_PREC_MULT + +static int find_affine_int(int np, const int *pts1, const int *pts2, + BLOCK_SIZE bsize, int mvy, int mvx, + WarpedMotionParams *wm, int mi_row, int mi_col) { + int32_t A[2][2] = { { 0, 0 }, { 0, 0 } }; + int32_t Bx[2] = { 0, 0 }; + int32_t By[2] = { 0, 0 }; + int i; + + const int bw = block_size_wide[bsize]; + const int bh = block_size_high[bsize]; + const int rsuy = (AOMMAX(bh, MI_SIZE) / 2 - 1); + const int rsux = (AOMMAX(bw, MI_SIZE) / 2 - 1); + const int suy = rsuy * 8; + const int sux = rsux * 8; + const int duy = suy + mvy; + const int dux = sux + mvx; + const int isuy = (mi_row * MI_SIZE + rsuy); + const int isux = (mi_col * MI_SIZE + rsux); + + // Assume the center pixel of the block has exactly the same motion vector + // as transmitted for the block. First shift the origin of the source + // points to the block center, and the origin of the destination points to + // the block center added to the motion vector transmitted. + // Let (xi, yi) denote the source points and (xi', yi') denote destination + // points after origin shfifting, for i = 0, 1, 2, .... n-1. + // Then if P = [x0, y0, + // x1, y1 + // x2, y1, + // .... + // ] + // q = [x0', x1', x2', ... ]' + // r = [y0', y1', y2', ... ]' + // the least squares problems that need to be solved are: + // [h1, h2]' = inv(P'P)P'q and + // [h3, h4]' = inv(P'P)P'r + // where the affine transformation is given by: + // x' = h1.x + h2.y + // y' = h3.x + h4.y + // + // The loop below computes: A = P'P, Bx = P'q, By = P'r + // We need to just compute inv(A).Bx and inv(A).By for the solutions. + // Contribution from neighbor block + for (i = 0; i < np; i++) { + const int dx = pts2[i * 2] - dux; + const int dy = pts2[i * 2 + 1] - duy; + const int sx = pts1[i * 2] - sux; + const int sy = pts1[i * 2 + 1] - suy; + // (TODO)yunqing: This comparison wouldn't be necessary if the sample + // selection is done in find_samples(). Also, global offset can be removed + // while collecting samples. + if (abs(sx - dx) < LS_MV_MAX && abs(sy - dy) < LS_MV_MAX) { + A[0][0] += LS_SQUARE(sx); + A[0][1] += LS_PRODUCT1(sx, sy); + A[1][1] += LS_SQUARE(sy); + Bx[0] += LS_PRODUCT2(sx, dx); + Bx[1] += LS_PRODUCT1(sy, dx); + By[0] += LS_PRODUCT1(sx, dy); + By[1] += LS_PRODUCT2(sy, dy); + } + } + + // Just for debugging, and can be removed later. + assert(A[0][0] >= LS_MAT_MIN && A[0][0] <= LS_MAT_MAX); + assert(A[0][1] >= LS_MAT_MIN && A[0][1] <= LS_MAT_MAX); + assert(A[1][1] >= LS_MAT_MIN && A[1][1] <= LS_MAT_MAX); + assert(Bx[0] >= LS_MAT_MIN && Bx[0] <= LS_MAT_MAX); + assert(Bx[1] >= LS_MAT_MIN && Bx[1] <= LS_MAT_MAX); + assert(By[0] >= LS_MAT_MIN && By[0] <= LS_MAT_MAX); + assert(By[1] >= LS_MAT_MIN && By[1] <= LS_MAT_MAX); + + int64_t Det; + int16_t iDet, shift; + + // Compute Determinant of A + Det = (int64_t)A[0][0] * A[1][1] - (int64_t)A[0][1] * A[0][1]; + if (Det == 0) return 1; + iDet = resolve_divisor_64(llabs(Det), &shift) * (Det < 0 ? -1 : 1); + shift -= WARPEDMODEL_PREC_BITS; + if (shift < 0) { + iDet <<= (-shift); + shift = 0; + } + + int64_t Px[2], Py[2]; + + // These divided by the Det, are the least squares solutions + Px[0] = (int64_t)A[1][1] * Bx[0] - (int64_t)A[0][1] * Bx[1]; + Px[1] = -(int64_t)A[0][1] * Bx[0] + (int64_t)A[0][0] * Bx[1]; + Py[0] = (int64_t)A[1][1] * By[0] - (int64_t)A[0][1] * By[1]; + Py[1] = -(int64_t)A[0][1] * By[0] + (int64_t)A[0][0] * By[1]; + + wm->wmmat[2] = get_mult_shift_diag(Px[0], iDet, shift); + wm->wmmat[3] = get_mult_shift_ndiag(Px[1], iDet, shift); + wm->wmmat[4] = get_mult_shift_ndiag(Py[0], iDet, shift); + wm->wmmat[5] = get_mult_shift_diag(Py[1], iDet, shift); + + // Note: In the vx, vy expressions below, the max value of each of the + // 2nd and 3rd terms are (2^16 - 1) * (2^13 - 1). That leaves enough room + // for the first term so that the overall sum in the worst case fits + // within 32 bits overall. + int32_t vx = mvx * (1 << (WARPEDMODEL_PREC_BITS - 3)) - + (isux * (wm->wmmat[2] - (1 << WARPEDMODEL_PREC_BITS)) + + isuy * wm->wmmat[3]); + int32_t vy = mvy * (1 << (WARPEDMODEL_PREC_BITS - 3)) - + (isux * wm->wmmat[4] + + isuy * (wm->wmmat[5] - (1 << WARPEDMODEL_PREC_BITS))); + wm->wmmat[0] = + clamp(vx, -WARPEDMODEL_TRANS_CLAMP, WARPEDMODEL_TRANS_CLAMP - 1); + wm->wmmat[1] = + clamp(vy, -WARPEDMODEL_TRANS_CLAMP, WARPEDMODEL_TRANS_CLAMP - 1); + + wm->wmmat[6] = wm->wmmat[7] = 0; + return 0; +} + +int find_projection(int np, int *pts1, int *pts2, BLOCK_SIZE bsize, int mvy, + int mvx, WarpedMotionParams *wm_params, int mi_row, + int mi_col) { + assert(wm_params->wmtype == AFFINE); + + if (find_affine_int(np, pts1, pts2, bsize, mvy, mvx, wm_params, mi_row, + mi_col)) + return 1; + + // check compatibility with the fast warp filter + if (!get_shear_params(wm_params)) return 1; + + return 0; +} -- cgit v1.2.3