// Copyright 2021 The libgav1 Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "src/dsp/convolve.h"
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <cstdio>
#include <cstring>
#include <ostream>
#include <string>
#include <tuple>
#include "absl/strings/match.h"
#include "absl/strings/str_format.h"
#include "absl/strings/string_view.h"
#include "absl/time/clock.h"
#include "absl/time/time.h"
#include "gtest/gtest.h"
#include "src/dsp/constants.h"
#include "src/dsp/dsp.h"
#include "src/utils/common.h"
#include "src/utils/constants.h"
#include "src/utils/cpu.h"
#include "src/utils/memory.h"
#include "tests/block_utils.h"
#include "tests/third_party/libvpx/acm_random.h"
#include "tests/third_party/libvpx/md5_helper.h"
#include "tests/utils.h"
namespace libgav1 {
namespace dsp {
namespace {
// The convolve function will access at most (block_height + 7) rows/columns
// from the beginning.
constexpr int kMaxBlockWidth = kMaxSuperBlockSizeInPixels + kSubPixelTaps;
constexpr int kMaxBlockHeight = kMaxSuperBlockSizeInPixels + kSubPixelTaps;
// Test all the filters in |kSubPixelFilters|. There are 6 different filters but
// filters [4] and [5] are only reached through GetFilterIndex().
constexpr int kMinimumViableRuns = 4 * 16;
// When is_scaled_convolve_ is true, we don't test every combination of
// type_param_, so some digests in ths array are redudant, marked as
// "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa".
// We keep it so that the logic of calculation id in GetDigestId() is clearer.
const char* GetDigest8bpp(int id) {
static const char* const kDigest[] = {
"ae5977a4ceffbac0cde72a04a43a9d57", "fab093b917d36f6b69fb4f50a6b5c822",
"1168251e6261e2ff1fa69a93226dbd76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d2f5ca2b7958c332a3fb771f66da01f0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6bbcc075f8b768a02cdc9149f150326d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c4e90cd202f9867517433b550afdc644", "43d6df191744f6c5d489c0673714a714",
"bfe8197057b0f3f096344251047f481f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1681719b0f8905d99382f4132fe1472a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8d24b59c0f3942079ba4945ed6686269", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"ae5977a4ceffbac0cde72a04a43a9d57", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"995318eff1fe62822366490192ad8b5e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"0ef1c5beb3228c6d9ecf3ced584c4aa8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"fc02228efb85c665bd27a3dab72a9037", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6cf5f791fe0d8dcd3526be3c6b814035", "eaa0942097fd2b2dd621b77e0a659896",
"4821befdf63f8c6da6440afeb57f320f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"7aec92c3b65e456b64ae285c12b03b0d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4ae70d9db2ec36885394db7d59bdd4f7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"911212ae2492690de06d12bfaf71c7d4", "cb284b0ae039582039563638f682db26",
"6b4393b2d7387dd291d3a7bd3aabcae4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"0804d93136549388b6cd7fdcd187a578", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b25f037602efdb4eaacb3ade1dc5c28f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6cf5f791fe0d8dcd3526be3c6b814035", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"704b0bb4128aa163ef5899e6d8ad9664", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"abf3f31ec4daff000e80f7ab9628688b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"09e12a389cd454e10f750062102ea1b2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d905dfcad930aded7718587c05b48aaf", "fe85aaee8007d2130d56919242e01163",
"c30fc44d83821141e84cc4793e127301", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f72a99ad63f6a88c23724e898b705d21", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"5fee162fe52c11c823db4d5ede370654", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a9210113ff6873e5b50d5d3ad67e440f", "b7633a78f959b20ca27ffb700b44b45c",
"6d1c5145be9fd636ababd64c64d23a10", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d55d8012ddddb55e6c3e51dafab92980", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b1948cb353fa308f0d5592b0ad338997", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d905dfcad930aded7718587c05b48aaf", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"04e3b7f46e748431c76cf6125057601c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"71362b65cffd008d1ca4a20adc8cc15f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"987f7a6a8bef47acbd1e49bb39f51ac4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6baf153feff04cc5b7e87c0bb60a905d", "fa1ad095bf696745599079fb73975b75",
"a8293b933d9f2e5d7f922ea40111d643", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"07a1f07f114c4a38ba08d2f44e1e1132", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9365186c59ef66d9def40f437022ad93", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a7305087fae23de53d21a6909009ff69", "bd44440b5757b74bcc3e2f7f32ef42af",
"a5a1ac658d7ce4a846a32b9fcfaa3475", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3b1ceebf0579fcbbfd6136938c595b91", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3bfad931bce82335219e0e29c15f2b21", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6baf153feff04cc5b7e87c0bb60a905d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4cfad2c437084a93ea76913e21c2dd89", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1a0bdfc96a3b9fd904e658f238ab1076", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b8a710baa6a9fc784909671d450ecd99", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"871ed5a69ca31e6444faa720895949bf", "e55d0c54fd28355d32e29d411488b571",
"354a54861a94e8b027afd9931e61f997", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"26b9de95edb45b31ac5aa19825831c7a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"0f95fb0276c9c7910937fbdf75f2811d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8dcce009395264379c1a51239f4bb22c", "06925f05ea49811e3efc2a44b111b32b",
"2370f4e4a83edf91b7f504bbe4b00e90", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"ecafabcad1045f15d31ce2f3b13132f2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"68a701313d2247d2b32636ebc1f2a008", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"871ed5a69ca31e6444faa720895949bf", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d372f0c17bce98855d6d59fbee814c3d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"56d16e54afe205e97527902770e71c71", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f9e6a56382d8d12da676d6631bb6ef75", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"68e2f90eaa0ab5da7e6f5776993f7eea", "8718965c4831a363a321a25f4aada7ba",
"eeeb8589c1b31cbb565154736ca939ec", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c1b836a6ce023663b90db0e320389414", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b355dab2dbb6f5869018563eece22862", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8dcce009395264379c1a51239f4bb22c", "e7c2bfd356c860c36053dea19f8d0705",
"ae5464066a049622a7a264cdf9394b55", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"5f211eba020e256a5781b203c5aa1d2e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"05afe1f40d37a45a97a5e0aadd5066fb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"68e2f90eaa0ab5da7e6f5776993f7eea", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d99ffd2579eb781c30bc0df7b76ad61e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1f7b5b8282ff3cf4d8e8c52d80ef5b4d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3bf8e11e18527b16f0d7c0361d74a52d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f1f8282fb33c30eb68c0c315b7a4bc01", "4c718ddbe8b5aa7118c8bc1c2f5ea158",
"f49dab626ddd977ed171f79295c24935", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"5befcf222152ebc8d779fcc10b95320a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"cf6ff8c43d8059cea6090a23ab66a0ef", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d90a69e7bae8aa46ed0e1e5f911d7a07", "1d7113d705fa0edeef49e5c50a91151d",
"45368b6db3d1fee739a64b0bc823ea9c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3b04497634364dd2cd3f2482b5d4b32f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9e1f0e0bddb58d15d0925eeaede9b84c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f1f8282fb33c30eb68c0c315b7a4bc01", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4e139e57cbb049a0f4ef816adc48d026", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"79e9e260a2028c5fe320005c272064b9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b9ff54c6f1e3b41fc7fc0f3fa0e75cf2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9412064b0eebf8123f23d74147d04dff", "0dee657827cd48c4ce4a7657f6f92233",
"78d2f27e0d4708cb16856d7d40dc16fb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"62adf407fc27d8682ced4dd7b55af14e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a336f8b7bcf188840ca65c0d0e66518a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6ab4dc87be03be1dcc5d956ca819d938", "78cef82670ff99b1e4a279de3538c233",
"8dff0f28192d9f8c0bf7fb5405719dd8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a8ac7b5dc65ffb758b0643508a0e744e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"03313cdaa593a1a7b4869010dcc7b241", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9412064b0eebf8123f23d74147d04dff", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"be53b2507048e7ff50226d15c0b28865", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2418ebcdf85551b9ae6e3725f04aae6d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"06ef1504f31af5f173d3317866ca57cb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"cc08936effe309ab9a4fa1bf7e28e24e", "a81bcdeb021d3a23477c40c47548df52",
"9d2393ea156a1c2083f5b4207793064b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"35be0786a072bf2f1286989261bf6580", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"de953f03895923359c6a719e6a537b89", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6ab4dc87be03be1dcc5d956ca819d938", "e053321d7c75951d5ff3dce85762acd3",
"632738ef3ff3021cff45045c41978849", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"561ed8be43c221a561f8885a0d74c7ef", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"88a50d2b4107ee5b5074b2520183f8ac", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"cc08936effe309ab9a4fa1bf7e28e24e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b73f3c1a10405de89d1f9e812ff73b5a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"98bdf907ebacacb734c9eef1ee727c6e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"635e8ee11cf04d73598549234ad732a0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"36cbef36fa21b98df03536c918bf752a", "b7a4d080e2f24040eebb785f437de66a",
"a9c62745b95c66fa497a524886af57e2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"90562fc42dc5d879ae74c4909c1dec30", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8463ade9347ed602663e2cec5c4c3fe6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8f2afdb2f03cd04ffacd421b958caaa0", "2e15a26905467e5ad9f8da04b94e60b6",
"f7ec43384037e8d6c618e0df826ec029", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8159619fc234598c8c75154d80021fd4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"ac50ea9f7306da95a5092709442989cf", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"36cbef36fa21b98df03536c918bf752a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c7d51b1f2df49ab83962257e8a5934e5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4dd5672d53c8f359e8f80badaa843dfc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"fab693410d59ee88aa2895527efc31ac", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9d0da6321cf5311ea0bdd41271763030", "22ff7819c55ce6b2e0ce5431eb8c309c",
"2c614ec4463386ec075a0f1dbb587933", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a1427352f9e413975a0949e2b300c657", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"392de11ffcd5c2ecf3db3480ee135340", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"710ccecc103033088d898a2b924551fb", "160c29a91e372d66b12e171e4d81bc18",
"a6bc648197781a2dc99c487e66464320", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8f43645dce92cf7594aa4822aa53b17d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"739b17591437edffd36799237b962658", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9d0da6321cf5311ea0bdd41271763030", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"159e443d79cc59b11ca4a80aa7aa09be", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a1bef519bbf07138e2eec5a91694de46", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3041eb26c23a63a587fbec623919e2d2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"55a10165ee8a660d7dddacf7de558cdd", "355b691a656e6a287e4504ef2fbb8034",
"7a8856480d752153370240b066b90f6a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"bcbc418bc2beb243e463851cd95335a9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"bddd31e3e852712e6244b616622af83d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"710ccecc103033088d898a2b924551fb", "f6cb80c4d5683553929b1e41f99e487e",
"1112ebd509007154c72c5a485b220b62", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b6ccddb7dfa4eddc87b4eff08b5a3195", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b8a7eb7dd9c216e240517edfc6489397", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"55a10165ee8a660d7dddacf7de558cdd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6ef14b14882e1465b0482b0e0b16d8ce", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"df1cb51fe1a937cd7834e973dc5cb814", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c61d99d5daf575664fb7ad64976f4b03", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"ac7fc9f9ea7213743fae5a023faaaf08", "a6307a981600c3fb5b9d3e89ddf55069",
"beaef1dbffadc701fccb7c18a03e3a41", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"cb8fedcbecee3947358dc61f95e56530", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"30a36245c40d978fc8976b442a8600c3", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a4093e3e5902dd659407ce6471635a4e", "658f0f51eb2f965f7490053852653fc0",
"9714c4ce636b6fb0ad05cba246d48c76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b4e605327b28db573d88844a1a09db8d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"75b755f199dbf4a0e5ebbb86c2bd871d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"ac7fc9f9ea7213743fae5a023faaaf08", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"22a8d287b425c870f40c64a50f91ce54", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"317fe65abf81ef3ea07976ef8667baeb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"822f6c4eb5db760468d822b21f48d94d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"077e1b7b355c7ab3ca40230ee8efd8ea", "628229ce2484d67e72c51b2f4ad124a6",
"72b1e700c949d06eaf62d664dafdb5b6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"0d0154a7d573685285a83a4cf201ac57", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"93aa662b988b8502e5ea95659eafde59", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"375d7f5358d7a088a498b8b3aaecc0d5", "b726ef75b641c21519ecc2f802bbaf39",
"2c93dde8884f09fb5bb5ad6d95cde86d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"15b00a15d1cc6cc96ca85d00b167e4dd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"31b0017ba1110e3d70b020901bc15564", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"077e1b7b355c7ab3ca40230ee8efd8ea", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f1d96db5a2e0a2160df38bd96d28d19b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2da29da97806ae0ee300c5e69c35a4aa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3f6fcb9fae3666e085b9e29002a802fc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"7a3e8de2a1caae206cf3e51a86dfd15a", "c266a1b65599686c771fad8a822e7a49",
"684f5c3a25a080edaf79add6e9137a8e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b14bd8068f108905682b83cc15778065", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"70440ba9ee7f9d16d297dbb49e54a56e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"375d7f5358d7a088a498b8b3aaecc0d5", "4dca696cc0552c1d684c4fc963adc336",
"a49e6160b5d1b56bc2046963101cd606", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"7bf911888c11a9fefd604b8b9c82e9a1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"0a1aa8f5ecfd11ddba080af0051c576a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"7a3e8de2a1caae206cf3e51a86dfd15a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"637d1e5221422dfe9a6dbcfd7f62ebdd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"555475f5d1685638169ab904447e4f13", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d9b9fecd195736a6049c528d4cb886b5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1ddf9020f18fa7883355cf8c0881186a", "e681b35b1fe02e2a6698525040015cd0",
"3be970f49e4288988818b087201d54da", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c96c867d998473197dde9b587be14e3a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1eb2be4c05b50e427e29c72fa566bff5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"08867ea5cc38c705ec52af821bc4736a", "c51c8bb294f4fa20bdab355ad1e7df37",
"7f084953976111e9f65b57876e7552b1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"bfb69b4d7d4aed73cfa75a0f55b66440", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"536181ee90de883cc383787aec089221", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1ddf9020f18fa7883355cf8c0881186a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f275af4f1f350ffaaf650310cb5dddec", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b3e3a6234e8045e6182cf90a09f767b2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"fed17fc391e6c3db4aa14ea1d6596c87", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2377dd167ef2707978bed6f10ffd4e76", "b1f6c0cd490b584b1883222a4c281e0f",
"d2b9dba2968894a414756bb510ac389a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f596c63c7b14cada0174e17124c83942", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"52c0980bae63e8459e82eee7d8af2334", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2afb540e8063f58d1b03896486c5e89b", "b929f7956cf35dd6225ca6cf45eacb23",
"0846ec82555b66197c5c45b08240fbcc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"034d1d62581bd0d840c4cf1e28227931", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"29f82b0f3e4113944bd28aacd9b8489a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2377dd167ef2707978bed6f10ffd4e76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f81c4d6b001a14584528880fa6988a87", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"849dfeca59074525dea59681a7f88ab4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d0d3482d981989e117cbb32fc4550267", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f918e0e4422967c6a7e47298135c7ae9", "fc8718e6f9e6663c2b6bf9710f835bfc",
"9a3215eb97aedbbddd76c7440837d040", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"eb2822ad8204ed4ecbf0f30fcb210498", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"75e57104d6058cd2bce1d3d8142d273d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2afb540e8063f58d1b03896486c5e89b", "d9d9f3c699cd03ab9d698e6b235ddcc6",
"ca7471c126ccd22189e874f0a6e41960", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"8cba849640e9e2859d509bc81ca94acd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"ee3e76371240d1f1ff811cea6a7d4f63", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f918e0e4422967c6a7e47298135c7ae9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a5a2f9c2e7759d8a3dec1bc4b56be587", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"39a68af80be11e1682b6f3c4ede33530", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"39561688bf6680054edbfae6035316ce", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b2264e129636368b5496760b39e64b7a", "4dbb4ce94d4948c990a51b15959d2fa6",
"4e317feac6da46addf0e8b9d8d54304b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"538ce869ffd23b6963e61badfab7712b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b4c735269ade44419169adbd852d5ddc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6ce47b11d2e60c5d183c84ce9f2e46cc", "3ac8d5b68ebb29fd1a41c5fa9d5f4382",
"0802b6318fbd0969a33de8fdfcd07f10", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"bc79acf2a0fe419194cdb4529bc7dcc8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"17a20dbbf09feae557d40aa5818fbe76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b2264e129636368b5496760b39e64b7a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2317c57ab69a36eb3bf278cf8a8795a3", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b22d765af176d87e7d3048b4b89b86ad", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"087c5992ca6f829e1ba4ba5332d67947", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c9cf1deba08dac5972b3b0a43eff8f98", "84777bdeb84e2530a1c8c1ee432ec934",
"b384e9e3d81f9f4f9024028fbe451d8b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4e4677a0623d44237eb8d6a622cdc526", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"356d4003477283e157c8d2b5a79d913c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c9cf1deba08dac5972b3b0a43eff8f98", "1e58b76ca365b0bd4fd3c4519ec4a500",
"24accebe2e795b13fcb56dd3abacf53f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"98f584ceaf2d65af997f85d71ceeda1b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c9cf1deba08dac5972b3b0a43eff8f98", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1e58b76ca365b0bd4fd3c4519ec4a500", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"24accebe2e795b13fcb56dd3abacf53f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"98f584ceaf2d65af997f85d71ceeda1b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
};
return kDigest[id];
}
#if LIBGAV1_MAX_BITDEPTH >= 10
const char* GetDigest10bpp(int id) {
static const char* const kDigest[] = {
"b1b6903d60501c7bc11e5285beb26a52", "3fa4ebd556ea33cfa7f0129ddfda0c5b",
"a693b4bd0334a3b98d45e67d3985bb63", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3e787534dff83c22b3033750e448865a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"fd1da8d197cb385f7917cd296d67afb9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d9941769b66d012c68f70accc1a3b664", "98728677401560d7c29ba8bec59c6a00",
"2924788891caa175bb0725b57de6cbd2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"915a60e7bb2c38ad5a556098230d6092", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a25de86fd8d389c1c75405aac8049b58", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"b1b6903d60501c7bc11e5285beb26a52", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"cf792b94b1f3f321fa0c1d6362d89c90", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"5f1622fde194bd04560b04f13dc47a7c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d935e0ec1d933d0c48fa529be4f998eb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a7855ed75772d7fa815978a202bbcd9f", "cd3e8b96ff6796650e138f5d106d70d4",
"156de3172d9acf3c7f251cd7a18ad461", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4c91f676a054d582bcae1ca9adb87a31", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a984202c527b757337c605443f376915", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"20a390cc7e06a265ecc1e118f776c25a", "ab0da36b88021ed0efd806a1a4cd4fa0",
"fc57a318fbf0c0f29c24edbc84e35ec6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"568055866caf274d67e984307cda2742", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3ff2b19730d6bb8b97f4d72085d2d5b8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a7855ed75772d7fa815978a202bbcd9f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"acc8588292b326f15076dd3a3d260072", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f990a13f7a062665d7f18a40bd5da2ae", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"931df73c3d50c4b2e4ec3502bc8774de", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"bde291a4e8087c085fe8b3632f4d7351", "555eead3b67766f56b0e3714d431506f",
"e545b8a3ff958f8363c7968cbae96732", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"eab5894046a99ad0a1a12c91b0f37bd7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c347f4a58fd784c5e88c1a23e4ff15d2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9272ee0820b09bfdc252a97b2e103862", "be8dd418158226a00d5e01ccc3e4f66b",
"34b37b59ee49108276be28a2e4585c2d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f4deb462014249d4ab02db7f7f62308e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6ae557169928f3be15c7aad8d67205b1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"bde291a4e8087c085fe8b3632f4d7351", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"14be0f12550c814f75655b4e1e22ddde", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"238980eebc9e63ae3eea2771c7a70f12", "661c69a7b49984fa1e92cf8485ab28b6",
"7842b2047356c1417d9d88219707f1a1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"0654d72f22306b28d9ae42515845240c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"98b77e88b0784baaea64c98c8707fe46", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"497271227a70a72f9ad25b415d41563f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"1c6376ce55c9ee9e35d432edb1ffb3b7", "6fff9189c1d11f183f7c42d4ce5febdb",
"58c826cad3c14cdf26a649265758c58b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"d675e0195c9feca956e637f3f1959f40", "670fa8c31c82fced9a810b64c03e87ee",
"f166254037c0dfb140f54cd7b08bddfe", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"acf60abeda98bbea161139b915317423", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"b5681673903ade13d69e295f82fdd009", "9ccd4cc6216eab35ddcb66a76b55dd2f",
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"2e7927158e7b8e40e7269fc909fb584b", "8b72feff8bb0901229a2bd7da2857c4b",
"69e3361b7199e10e75685b90fb0df623", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"5b64a6911cb7c3d60bb8f961ed9782a2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"1c6fda7501e0f8bdad972f7857cd9354", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a4bb5d5ff4b25f391265b5231049a09a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"f0fd9c09d454e4ce918faa97e9ac10be", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"6fb9383302eb7e7a13387464d2634e03", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"a82f4080699300b659bbe1b5c4463147", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c9106e0c820b03bcdde3aa94efc11a3e", "0408e10e51a31ac756a57d5149a2b409",
"38816245ed832ba313fefafcbed1e5c8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2266840f11ac4c066d941ec473b1a54f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"80fce29dc82d5857c1ed5ef2aea16835", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"123028e18c2bfb334e34adb5a4f67de4", "1670eb8ed876e609ed81236a683b4a3d",
"2f8ab35f6e7030e82ca922a68b29af4a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"7133de9d03a4b07716a12226b5e493e8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4fd485dadcb570e5a0a5addaf9ba84da", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c9106e0c820b03bcdde3aa94efc11a3e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"af6ae5c0eb28417bd251184baf2eaba7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"864d51fcc737bc73a3f588b67515039a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"ecedb178f7cad3dc1b921eca67f9efb6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"7ec2eae9e118506da8b33440b399511a", "108a4a6530a6b9c933ccf14edbd896be",
"5d34137cc8ddba75347b0fa1d0a91791", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"9e194755b2a37b615a517d5f8746dfbb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"14f2c5b9d2cd621c178a39f1ec0c38eb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"123028e18c2bfb334e34adb5a4f67de4", "2fdc713ba418780d0be33a3ebbcb323c",
"452f91b01833c57db4e909575a029ff6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"3594eff52d5ed875bd9655ddbf106fae", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d3f140aea9e8eabf4e1e5190e0148288", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"7ec2eae9e118506da8b33440b399511a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"866f8df540dd3b58ab1339314d139cbd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2ecb7890f00234bcb28c1d969f489012", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"0609ca0ff3ca90069e8b48829b4b0891", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"78de867c8ee947ed6d29055747f26949", "0a7cb4f51f1acf0940b59295b2327465",
"465dcb046a0449b9dfb3e0b297aa3863", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"bbf86f8174334f0b8d869fd8d58bf92d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"da54cfb4530841bda29966cfa05f4879", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"2c979c2bddef79a760e72a802f83cc76", "545426be3436073ba63790aa3c4a5598",
"1fabf0655bedb671e4d7287fec8119ba", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"90d7e13aa2f9a064493ff2b3b5b12109", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"e4938219593bbed5ae638a93f2f4a580", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"78de867c8ee947ed6d29055747f26949", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"72803589b453a29501540aeddc23e6f4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"c4793d431dbf2d88826bb440bf027512", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"839e86c681e97359f7819c766000dd1c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d05a237ed7a9ca877256b71555b1b8e4", "3052776d186fca6dd8011f4fe908a212",
"94b3e5bcd6b849b66a4571ec3d23f9be", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"91d6bdbc62d4bb80c9b371d9704e3c9e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"4f750f6375524311d260306deb233861", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d05a237ed7a9ca877256b71555b1b8e4", "03ce2d07cac044d6b68604d398571844",
"68ece92dcbe70a2ae9776d72972740a7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"380d296d0d55a49dd86ee562b053a9d8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"d05a237ed7a9ca877256b71555b1b8e4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"03ce2d07cac044d6b68604d398571844", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"68ece92dcbe70a2ae9776d72972740a7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"380d296d0d55a49dd86ee562b053a9d8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
};
return kDigest[id];
}
#endif
struct ConvolveTestParam {
ConvolveTestParam(int width, int height) : width(width), height(height) {}
int width;
int height;
};
struct ConvolveTypeParam {
ConvolveTypeParam(bool is_intra_block_copy, bool is_compound,
bool has_vertical_filter, bool has_horizontal_filter)
: is_intra_block_copy(is_intra_block_copy),
is_compound(is_compound),
has_vertical_filter(has_vertical_filter),
has_horizontal_filter(has_horizontal_filter) {}
bool is_intra_block_copy;
bool is_compound;
bool has_vertical_filter;
bool has_horizontal_filter;
};
std::ostream& operator<<(std::ostream& os, const ConvolveTestParam& param) {
return os << "BlockSize" << param.width << "x" << param.height;
}
std::ostream& operator<<(std::ostream& os, const ConvolveTypeParam& param) {
return os << "is_intra_block_copy: " << param.is_intra_block_copy
<< ", is_compound: " << param.is_compound
<< ", has_(vertical/horizontal)_filter: "
<< param.has_vertical_filter << "/" << param.has_horizontal_filter;
}
// TODO(b/146062680): split this to ConvolveTest and ConvolveScaleTest to
// simplify the members and test logic.
template <int bitdepth, typename Pixel>
class ConvolveTest
: public testing::TestWithParam<
std::tuple<ConvolveTestParam, ConvolveTypeParam, bool>> {
public:
ConvolveTest() = default;
~ConvolveTest() override = default;
void SetUp() override {
ConvolveInit_C();
const Dsp* const dsp = GetDspTable(bitdepth);
ASSERT_NE(dsp, nullptr);
GetConvolveFuncs(dsp, &base_convolve_func_, &base_convolve_scale_func_);
const testing::TestInfo* const test_info =
testing::UnitTest::GetInstance()->current_test_info();
const absl::string_view test_case = test_info->test_suite_name();
if (absl::StartsWith(test_case, "C/")) {
base_convolve_func_ = nullptr;
base_convolve_scale_func_ = nullptr;
} else if (absl::StartsWith(test_case, "SSE41/")) {
if ((GetCpuInfo() & kSSE4_1) != 0) {
ConvolveInit_SSE4_1();
}
} else if (absl::StartsWith(test_case, "AVX2/")) {
if ((GetCpuInfo() & kAVX2) != 0) {
ConvolveInit_AVX2();
}
} else if (absl::StartsWith(test_case, "NEON/")) {
ConvolveInit_NEON();
} else {
FAIL() << "Unrecognized architecture prefix in test case name: "
<< test_case;
}
GetConvolveFuncs(dsp, &cur_convolve_func_, &cur_convolve_scale_func_);
// Skip functions that have not been specialized for this particular
// architecture.
if (cur_convolve_func_ == base_convolve_func_) {
cur_convolve_func_ = nullptr;
}
if (cur_convolve_scale_func_ == base_convolve_scale_func_) {
cur_convolve_scale_func_ = nullptr;
}
}
protected:
int GetDigestId() const {
// id is the combination of the 3-dimension array:
// (param_, type_param_, is_scaled_convolve_)
// The number of each array is 20, 16, 2.
// The range of id is from 0 to 20x16x2 - 1.
// is_scaled_convolve_: false, id += 0; true, id += 1;
// type_param_: (0, 0, 0, 0), id += 0 * 2.
// (0, 0, 0, 1), id += 1 * 2; (0, 0, 1, 0), id += 2 * 2;
// ...
// param_: (2, 2), id += 0 * 32; (2, 4), id += 1 * 32;
// (4, 2), id += 2 * 32; (4, 4), id += 3 * 32;
// ...
int id = static_cast<int>(is_scaled_convolve_);
id += 2 * static_cast<int>(type_param_.has_horizontal_filter);
id += 2 * 2 * static_cast<int>(type_param_.has_vertical_filter);
id += 2 * 4 * static_cast<int>(type_param_.is_compound);
id += 2 * 8 * static_cast<int>(type_param_.is_intra_block_copy);
if (param_.width == param_.height) {
id += 32 * 3 * static_cast<int>(std::log2(param_.width) - 1);
} else if (param_.width < param_.height) {
id += 32 * (1 + 3 * static_cast<int>(std::log2(param_.width) - 1));
} else {
// param_.width > param_.height
if (param_.width == 8 && param_.height == 2) {
// Special case is at the end of the array.
id += 32 * 19;
} else {
id += 32 * (2 + 3 * static_cast<int>(std::log2(param_.height) - 1));
}
}
return id;
}
void GetConvolveFuncs(const Dsp* dsp, ConvolveFunc* func,
ConvolveScaleFunc* scale_func);
void SetInputData(bool use_fixed_values, int value);
void Check(bool use_fixed_values, const Pixel* src, const Pixel* dest,
libvpx_test::MD5* md5_digest);
void Check16Bit(bool use_fixed_values, const uint16_t* src,
const uint16_t* dest, libvpx_test::MD5* md5_digest);
// |num_runs| covers the categories of filters (6) and the number of filters
// under each category (16).
void Test(bool use_fixed_values, int value,
int num_runs = kMinimumViableRuns);
const ConvolveTestParam param_ = std::get<0>(GetParam());
const ConvolveTypeParam type_param_ = std::get<1>(GetParam());
const bool is_scaled_convolve_ = std::get<2>(GetParam());
private:
ConvolveFunc base_convolve_func_;
ConvolveFunc cur_convolve_func_;
ConvolveScaleFunc base_convolve_scale_func_;
ConvolveScaleFunc cur_convolve_scale_func_;
// Convolve filters are 7-tap, which needs 3 pixels (kRestorationBoder)
// padding.
// When is_scaled_convolve_ is true, the source can be at most 2 times of
// max width/height. So we allocate a larger memory for it and setup the
// extra memory when is_scaled_convolve_ is true.
Pixel source_[kMaxBlockHeight * kMaxBlockWidth * 4] = {};
uint16_t source_16bit_[kMaxBlockHeight * kMaxBlockWidth * 4] = {};
uint16_t dest_16bit_[kMaxBlockHeight * kMaxBlockWidth] = {};
Pixel dest_clipped_[kMaxBlockHeight * kMaxBlockWidth] = {};
const int source_stride_ =
is_scaled_convolve_ ? kMaxBlockWidth * 2 : kMaxBlockWidth;
const int source_height_ =
is_scaled_convolve_ ? kMaxBlockHeight * 2 : kMaxBlockHeight;
};
template <int bitdepth, typename Pixel>
void ConvolveTest<bitdepth, Pixel>::GetConvolveFuncs(
const Dsp* const dsp, ConvolveFunc* func, ConvolveScaleFunc* scale_func) {
if (is_scaled_convolve_) {
*func = nullptr;
*scale_func = dsp->convolve_scale[type_param_.is_compound];
} else {
*scale_func = nullptr;
*func =
dsp->convolve[type_param_.is_intra_block_copy][type_param_.is_compound]
[type_param_.has_vertical_filter]
[type_param_.has_horizontal_filter];
}
}
template <int bitdepth, typename Pixel>
void ConvolveTest<bitdepth, Pixel>::SetInputData(bool use_fixed_values,
int value) {
if (use_fixed_values) {
std::fill(source_, source_ + source_height_ * source_stride_, value);
} else {
const int offset =
kConvolveBorderLeftTop * source_stride_ + kConvolveBorderLeftTop;
const int mask = (1 << bitdepth) - 1;
libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed());
const int height = is_scaled_convolve_ ? param_.height * 2 : param_.height;
const int width = is_scaled_convolve_ ? param_.width * 2 : param_.width;
for (int y = 0; y < height; ++y) {
for (int x = 0; x < width; ++x) {
source_[y * source_stride_ + x + offset] = rnd.Rand16() & mask;
}
}
// Copy border pixels to the left and right borders.
for (int y = 0; y < height; ++y) {
Memset(&source_[(y + kConvolveBorderLeftTop) * source_stride_],
source_[y * source_stride_ + offset], kConvolveBorderLeftTop);
Memset(&source_[y * source_stride_ + offset + width],
source_[y * source_stride_ + offset + width - 1],
kConvolveBorderLeftTop);
}
// Copy border pixels to the top and bottom borders.
for (int y = 0; y < kConvolveBorderLeftTop; ++y) {
memcpy(&source_[y * source_stride_],
&source_[kConvolveBorderLeftTop * source_stride_],
source_stride_ * sizeof(Pixel));
memcpy(&source_[(y + kConvolveBorderLeftTop + height) * source_stride_],
&source_[(kConvolveBorderLeftTop + height - 1) * source_stride_],
source_stride_ * sizeof(Pixel));
}
}
}
template <int bitdepth, typename Pixel>
void ConvolveTest<bitdepth, Pixel>::Check(bool use_fixed_values,
const Pixel* src, const Pixel* dest,
libvpx_test::MD5* md5_digest) {
if (use_fixed_values) {
// For fixed values, input and output are identical.
const bool success =
test_utils::CompareBlocks(src, dest, param_.width, param_.height,
kMaxBlockWidth, kMaxBlockWidth, false, false);
EXPECT_TRUE(success);
} else {
// For random input, compare md5.
const int offset =
kConvolveBorderLeftTop * kMaxBlockWidth + kConvolveBorderLeftTop;
const size_t size = sizeof(dest_clipped_) - offset * sizeof(Pixel);
md5_digest->Add(reinterpret_cast<const uint8_t*>(dest), size);
}
}
template <int bitdepth, typename Pixel>
void ConvolveTest<bitdepth, Pixel>::Check16Bit(bool use_fixed_values,
const uint16_t* src,
const uint16_t* dest,
libvpx_test::MD5* md5_digest) {
if (use_fixed_values) {
// For fixed values, input and output are identical.
const bool success =
test_utils::CompareBlocks(src, dest, param_.width, param_.height,
kMaxBlockWidth, kMaxBlockWidth, false);
EXPECT_TRUE(success);
} else {
// For random input, compare md5.
const int offset =
kConvolveBorderLeftTop * kMaxBlockWidth + kConvolveBorderLeftTop;
const size_t size = sizeof(dest_16bit_) - offset * sizeof(uint16_t);
md5_digest->Add(reinterpret_cast<const uint8_t*>(dest), size);
}
}
template <int bitdepth, typename Pixel>
void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value,
int num_runs /*= 16 * 6*/) {
// There's no meaning testing fixed input in compound convolve.
if (type_param_.is_compound && use_fixed_values) GTEST_SKIP();
// Scaled convolve does not behave differently under most params. Only need to
// test the enabled compound implementation.
if (is_scaled_convolve_ &&
(type_param_.is_intra_block_copy || type_param_.has_vertical_filter ||
type_param_.has_horizontal_filter)) {
GTEST_SKIP();
}
// There should not be any function set for this combination.
if (type_param_.is_intra_block_copy && type_param_.is_compound) {
ASSERT_EQ(cur_convolve_func_, nullptr);
return;
}
// Compound and intra block copy functions are only used for blocks 4x4 or
// greater.
if (type_param_.is_compound || type_param_.is_intra_block_copy) {
if (param_.width < 4 || param_.height < 4) {
GTEST_SKIP();
}
}
// Skip unspecialized functions.
if (cur_convolve_func_ == nullptr && cur_convolve_scale_func_ == nullptr) {
GTEST_SKIP();
}
SetInputData(use_fixed_values, value);
libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed() +
GetDigestId());
// [1,2048] for |step_[xy]|. This covers a scaling range of 1/1024 to 2x.
const int step_x = (rnd.Rand16() & ((1 << 11) - 1)) + 1;
const int step_y = (rnd.Rand16() & ((1 << 11) - 1)) + 1;
int subpixel_x = 0;
int subpixel_y = 0;
int vertical_index = 0;
int horizontal_index = 0;
const int offset =
kConvolveBorderLeftTop * kMaxBlockWidth + kConvolveBorderLeftTop;
const int offset_scale =
kConvolveBorderLeftTop * source_stride_ + kConvolveBorderLeftTop;
const Pixel* const src = source_ + offset;
const Pixel* const src_scale = source_ + offset_scale;
const ptrdiff_t src_stride = source_stride_ * sizeof(Pixel);
const ptrdiff_t src_stride_16 = source_stride_;
const ptrdiff_t dst_stride = kMaxBlockWidth * sizeof(Pixel);
// Pack Compound output since we control the predictor buffer.
const ptrdiff_t dst_stride_compound = param_.width;
// Output is always 16 bits regardless of |bitdepth|.
uint16_t* dst_16 = dest_16bit_ + offset;
// Output depends on |bitdepth|.
Pixel* dst_pixel = dest_clipped_ + offset;
// Collect the first |kMinimumViableRuns| into one md5 buffer.
libvpx_test::MD5 md5_digest;
absl::Duration elapsed_time;
for (int i = 0; i < num_runs; ++i) {
// Test every filter.
// Because of masking |subpixel_{x,y}| values roll over every 16 iterations.
subpixel_x += 1 << 6;
subpixel_y += 1 << 6;
const int horizontal_filter_id = (subpixel_x >> 6) & 0xF;
const int vertical_filter_id = (subpixel_y >> 6) & 0xF;
// |filter_id| == 0 (copy) must be handled by the appropriate 1D or copy
// function.
if (horizontal_filter_id == 0 || vertical_filter_id == 0) {
continue;
}
// For focused speed testing these can be set to the desired filter. Want
// only 8 tap filters? Set |{vertical,horizontal}_index| to 2.
vertical_index += static_cast<int>(i % 16 == 0);
vertical_index %= 4;
horizontal_index += static_cast<int>(i % 16 == 0);
horizontal_index %= 4;
if (is_scaled_convolve_) {
ASSERT_EQ(cur_convolve_func_, nullptr);
// Output type is uint16_t.
const absl::Time start = absl::Now();
if (type_param_.is_compound) {
cur_convolve_scale_func_(
source_, src_stride, horizontal_index, vertical_index, 0, 0, step_x,
step_y, param_.width, param_.height, dst_16, dst_stride_compound);
} else {
cur_convolve_scale_func_(
source_, src_stride, horizontal_index, vertical_index, 0, 0, step_x,
step_y, param_.width, param_.height, dst_pixel, dst_stride);
}
elapsed_time += absl::Now() - start;
} else if (type_param_.is_compound) {
ASSERT_EQ(cur_convolve_scale_func_, nullptr);
// Output type is uint16_t.
const absl::Time start = absl::Now();
cur_convolve_func_(src, src_stride, horizontal_index, vertical_index,
horizontal_filter_id, vertical_filter_id, param_.width,
param_.height, dst_16, dst_stride_compound);
elapsed_time += absl::Now() - start;
} else {
ASSERT_EQ(cur_convolve_scale_func_, nullptr);
// Output type is Pixel.
const absl::Time start = absl::Now();
cur_convolve_func_(src, src_stride, horizontal_index, vertical_index,
horizontal_filter_id, vertical_filter_id, param_.width,
param_.height, dst_pixel, dst_stride);
elapsed_time += absl::Now() - start;
}
// Only check the output for the first set. After that it's just repeated
// runs for speed timing.
if (i >= kMinimumViableRuns) continue;
if (is_scaled_convolve_) {
// Convolve function does not clip the output. The clipping is applied
// later. But libaom clips the output. So we apply clipping to match
// libaom in tests.
if (type_param_.is_compound) {
const int single_round_offset = (1 << bitdepth) + (1 << (bitdepth - 1));
Pixel* dest_row = dest_clipped_;
for (int y = 0; y < kMaxBlockHeight; ++y) {
for (int x = 0; x < kMaxBlockWidth; ++x) {
dest_row[x] = static_cast<Pixel>(Clip3(
dest_16bit_[y * dst_stride_compound + x] - single_round_offset,
0, (1 << bitdepth) - 1));
}
dest_row += kMaxBlockWidth;
}
}
if (type_param_.is_compound) {
Check16Bit(use_fixed_values, source_16bit_ + offset_scale, dst_16,
&md5_digest);
} else {
Check(use_fixed_values, src_scale, dst_pixel, &md5_digest);
}
} else if (type_param_.is_compound) {
// Need to copy source to a uint16_t buffer for comparison.
Pixel* src_ptr = source_;
uint16_t* src_ptr_16 = source_16bit_;
for (int y = 0; y < kMaxBlockHeight; ++y) {
for (int x = 0; x < kMaxBlockWidth; ++x) {
src_ptr_16[x] = src_ptr[x];
}
src_ptr += src_stride_16;
src_ptr_16 += src_stride_16;
}
Check16Bit(use_fixed_values, source_16bit_ + offset, dst_16, &md5_digest);
} else {
Check(use_fixed_values, src, dst_pixel, &md5_digest);
}
}
if (!use_fixed_values) {
// md5 sums are only calculated for random input.
const char* ref_digest;
if (bitdepth == 8) {
ref_digest = GetDigest8bpp(GetDigestId());
} else {
#if LIBGAV1_MAX_BITDEPTH >= 10
ref_digest = GetDigest10bpp(GetDigestId());
#endif // LIBGAV1_MAX_BITDEPTH >= 10
}
const char* direction;
if (is_scaled_convolve_ || (type_param_.has_vertical_filter &&
type_param_.has_horizontal_filter)) {
direction = "2D";
} else if (type_param_.has_vertical_filter) {
direction = "Vertical";
} else if (type_param_.has_horizontal_filter) {
direction = "Horizontal";
} else {
direction = "Copy";
}
const auto elapsed_time_us =
static_cast<int>(absl::ToInt64Microseconds(elapsed_time));
printf("Mode Convolve%s%s%s%s[%25s]: %5d us MD5: %s\n",
type_param_.is_compound ? "Compound" : "",
type_param_.is_intra_block_copy ? "IntraBlockCopy" : "",
is_scaled_convolve_ ? "Scale" : "", direction,
absl::StrFormat("%dx%d", param_.width, param_.height).c_str(),
elapsed_time_us, md5_digest.Get());
EXPECT_STREQ(ref_digest, md5_digest.Get());
}
}
void ApplyFilterToSignedInput(const int min_input, const int max_input,
const int8_t filter[kSubPixelTaps],
int* min_output, int* max_output) {
int min = 0, max = 0;
for (int i = 0; i < kSubPixelTaps; ++i) {
const int tap = filter[i];
if (tap > 0) {
max += max_input * tap;
min += min_input * tap;
} else {
min += max_input * tap;
max += min_input * tap;
}
}
*min_output = min;
*max_output = max;
}
void ApplyFilterToUnsignedInput(const int max_input,
const int8_t filter[kSubPixelTaps],
int* min_output, int* max_output) {
ApplyFilterToSignedInput(0, max_input, filter, min_output, max_output);
}
// Validate the maximum ranges for different parts of the Convolve process.
template <int bitdepth>
void ShowRange() {
// Subtract one from the shift bits because the filter is pre-shifted by 1.
constexpr int horizontal_bits = (bitdepth == kBitdepth12)
? kInterRoundBitsHorizontal12bpp - 1
: kInterRoundBitsHorizontal - 1;
constexpr int vertical_bits = (bitdepth == kBitdepth12)
? kInterRoundBitsVertical12bpp - 1
: kInterRoundBitsVertical - 1;
constexpr int compound_vertical_bits = kInterRoundBitsCompoundVertical - 1;
constexpr int compound_offset = (bitdepth == 8) ? 0 : kCompoundOffset;
constexpr int max_input = (1 << bitdepth) - 1;
const int8_t* worst_convolve_filter = kHalfSubPixelFilters[2][8];
// First pass.
printf("Bitdepth: %2d Input range: [%8d, %8d]\n", bitdepth, 0,
max_input);
int min, max;
ApplyFilterToUnsignedInput(max_input, worst_convolve_filter, &min, &max);
if (bitdepth == 8) {
// 8bpp can use int16_t for sums.
assert(min > INT16_MIN);
assert(max < INT16_MAX);
} else {
// 10bpp and 12bpp require int32_t.
assert(min > INT32_MIN);
assert(max > INT16_MAX && max < INT32_MAX);
}
printf(" intermediate range: [%8d, %8d]\n", min, max);
const int first_pass_min = RightShiftWithRounding(min, horizontal_bits);
const int first_pass_max = RightShiftWithRounding(max, horizontal_bits);
// All bitdepths can use int16_t for first pass output.
assert(first_pass_min > INT16_MIN);
assert(first_pass_max < INT16_MAX);
printf(" first pass output range: [%8d, %8d]\n", first_pass_min,
first_pass_max);
// Second pass.
ApplyFilterToSignedInput(first_pass_min, first_pass_max,
worst_convolve_filter, &min, &max);
// All bitdepths require int32_t for second pass sums.
assert(min < INT16_MIN && min > INT32_MIN);
assert(max > INT16_MAX && max < INT32_MAX);
printf(" intermediate range: [%8d, %8d]\n", min, max);
// Second pass non-compound output is clipped to Pixel values.
const int second_pass_min =
Clip3(RightShiftWithRounding(min, vertical_bits), 0, max_input);
const int second_pass_max =
Clip3(RightShiftWithRounding(max, vertical_bits), 0, max_input);
printf(" second pass output range: [%8d, %8d]\n", second_pass_min,
second_pass_max);
// Output is Pixel so matches Pixel values.
assert(second_pass_min == 0);
assert(second_pass_max == max_input);
const int compound_second_pass_min =
RightShiftWithRounding(min, compound_vertical_bits) + compound_offset;
const int compound_second_pass_max =
RightShiftWithRounding(max, compound_vertical_bits) + compound_offset;
printf(" compound second pass output range: [%8d, %8d]\n",
compound_second_pass_min, compound_second_pass_max);
if (bitdepth == 8) {
// 8bpp output is int16_t without an offset.
assert(compound_second_pass_min > INT16_MIN);
assert(compound_second_pass_max < INT16_MAX);
} else {
// 10bpp and 12bpp use the offset to fit inside uint16_t.
assert(compound_second_pass_min > 0);
assert(compound_second_pass_max < UINT16_MAX);
}
printf("\n");
}
TEST(ConvolveTest, ShowRange) {
ShowRange<kBitdepth8>();
ShowRange<kBitdepth10>();
ShowRange<kBitdepth12>();
}
using ConvolveTest8bpp = ConvolveTest<8, uint8_t>;
TEST_P(ConvolveTest8bpp, FixedValues) {
Test(true, 0);
Test(true, 1);
Test(true, 128);
Test(true, 255);
}
TEST_P(ConvolveTest8bpp, RandomValues) { Test(false, 0); }
TEST_P(ConvolveTest8bpp, DISABLED_Speed) {
const int num_runs = static_cast<int>(1.0e7 / (param_.width * param_.height));
Test(false, 0, num_runs);
}
const ConvolveTestParam kConvolveParam[] = {
ConvolveTestParam(2, 2), ConvolveTestParam(2, 4),
ConvolveTestParam(4, 2), ConvolveTestParam(4, 4),
ConvolveTestParam(4, 8), ConvolveTestParam(8, 2),
ConvolveTestParam(8, 4), ConvolveTestParam(8, 8),
ConvolveTestParam(8, 16), ConvolveTestParam(16, 8),
ConvolveTestParam(16, 16), ConvolveTestParam(16, 32),
ConvolveTestParam(32, 16), ConvolveTestParam(32, 32),
ConvolveTestParam(32, 64), ConvolveTestParam(64, 32),
ConvolveTestParam(64, 64), ConvolveTestParam(64, 128),
ConvolveTestParam(128, 64), ConvolveTestParam(128, 128),
};
const ConvolveTypeParam kConvolveTypeParam[] = {
ConvolveTypeParam(false, false, false, false),
ConvolveTypeParam(false, false, false, true),
ConvolveTypeParam(false, false, true, false),
ConvolveTypeParam(false, false, true, true),
ConvolveTypeParam(false, true, false, false),
ConvolveTypeParam(false, true, false, true),
ConvolveTypeParam(false, true, true, false),
ConvolveTypeParam(false, true, true, true),
ConvolveTypeParam(true, false, false, false),
ConvolveTypeParam(true, false, false, true),
ConvolveTypeParam(true, false, true, false),
ConvolveTypeParam(true, false, true, true),
ConvolveTypeParam(true, true, false, false),
ConvolveTypeParam(true, true, false, true),
ConvolveTypeParam(true, true, true, false),
ConvolveTypeParam(true, true, true, true),
};
INSTANTIATE_TEST_SUITE_P(C, ConvolveTest8bpp,
testing::Combine(testing::ValuesIn(kConvolveParam),
testing::ValuesIn(kConvolveTypeParam),
testing::Bool()));
#if LIBGAV1_ENABLE_NEON
INSTANTIATE_TEST_SUITE_P(NEON, ConvolveTest8bpp,
testing::Combine(testing::ValuesIn(kConvolveParam),
testing::ValuesIn(kConvolveTypeParam),
testing::Bool()));
#endif // LIBGAV1_ENABLE_NEON
#if LIBGAV1_ENABLE_SSE4_1
INSTANTIATE_TEST_SUITE_P(SSE41, ConvolveTest8bpp,
testing::Combine(testing::ValuesIn(kConvolveParam),
testing::ValuesIn(kConvolveTypeParam),
testing::Bool()));
#endif // LIBGAV1_ENABLE_SSE4_1
#if LIBGAV1_ENABLE_AVX2
INSTANTIATE_TEST_SUITE_P(AVX2, ConvolveTest8bpp,
testing::Combine(testing::ValuesIn(kConvolveParam),
testing::ValuesIn(kConvolveTypeParam),
testing::Bool()));
#endif // LIBGAV1_ENABLE_AVX2
#if LIBGAV1_MAX_BITDEPTH >= 10
using ConvolveTest10bpp = ConvolveTest<10, uint16_t>;
TEST_P(ConvolveTest10bpp, FixedValues) {
Test(true, 0);
Test(true, 1);
Test(true, 128);
Test(true, (1 << 10) - 1);
}
TEST_P(ConvolveTest10bpp, RandomValues) { Test(false, 0); }
TEST_P(ConvolveTest10bpp, DISABLED_Speed) {
const int num_runs = static_cast<int>(1.0e7 / (param_.width * param_.height));
Test(false, 0, num_runs);
}
INSTANTIATE_TEST_SUITE_P(C, ConvolveTest10bpp,
testing::Combine(testing::ValuesIn(kConvolveParam),
testing::ValuesIn(kConvolveTypeParam),
testing::Bool()));
#endif // LIBGAV1_MAX_BITDEPTH >= 10
} // namespace
} // namespace dsp
} // namespace libgav1