Adding upstream version 110.0.1.upstream/110.0.1upstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 1148 insertions, 0 deletions

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 <stdio.h>
+#include <stdlib.h>
+#include <memory.h>
+#include <math.h>
+#include <assert.h>
+
+#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;
+}