3dbc78b134
Also 1. Removed the test code for fDCT from the iDCT test. 2. changed the criteria of round trip error to be below 1/block, this is quite strict comparing to smaller transforms when size differences are accounted for. Change-Id: Idb46a6380b04c93fc8e2845c75f5a850366b0090
186 lines
5.6 KiB
C++
186 lines
5.6 KiB
C++
/*
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* Copyright (c) 2012 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include <math.h>
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#include <stdlib.h>
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#include <string.h>
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#include "third_party/googletest/src/include/gtest/gtest.h"
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extern "C" {
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#include "vp9/common/vp9_entropy.h"
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#include "./vp9_rtcd.h"
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void vp9_short_fdct32x32_c(int16_t *input, int16_t *out, int pitch);
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void vp9_short_idct32x32_c(short *input, short *output, int pitch);
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}
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#include "test/acm_random.h"
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#include "vpx/vpx_integer.h"
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using libvpx_test::ACMRandom;
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namespace {
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#ifdef _MSC_VER
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static int round(double x) {
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if (x < 0)
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return (int)ceil(x - 0.5);
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else
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return (int)floor(x + 0.5);
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}
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#endif
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static const double kPi = 3.141592653589793238462643383279502884;
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static void reference2_32x32_idct_2d(double *input, double *output) {
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double x;
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for (int l = 0; l < 32; ++l) {
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for (int k = 0; k < 32; ++k) {
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double s = 0;
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for (int i = 0; i < 32; ++i) {
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for (int j = 0; j < 32; ++j) {
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x = cos(kPi * j * (l + 0.5) / 32.0) *
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cos(kPi * i * (k + 0.5) / 32.0) * input[i * 32 + j] / 1024;
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if (i != 0)
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x *= sqrt(2.0);
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if (j != 0)
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x *= sqrt(2.0);
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s += x;
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}
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}
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output[k * 32 + l] = s / 4;
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}
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}
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}
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static void reference_32x32_dct_1d(double in[32], double out[32], int stride) {
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const double kInvSqrt2 = 0.707106781186547524400844362104;
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for (int k = 0; k < 32; k++) {
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out[k] = 0.0;
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for (int n = 0; n < 32; n++)
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out[k] += in[n] * cos(kPi * (2 * n + 1) * k / 64.0);
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if (k == 0)
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out[k] = out[k] * kInvSqrt2;
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}
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}
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static void reference_32x32_dct_2d(int16_t input[32*32], double output[32*32]) {
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// First transform columns
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for (int i = 0; i < 32; ++i) {
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double temp_in[32], temp_out[32];
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for (int j = 0; j < 32; ++j)
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temp_in[j] = input[j*32 + i];
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reference_32x32_dct_1d(temp_in, temp_out, 1);
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for (int j = 0; j < 32; ++j)
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output[j * 32 + i] = temp_out[j];
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}
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// Then transform rows
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for (int i = 0; i < 32; ++i) {
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double temp_in[32], temp_out[32];
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for (int j = 0; j < 32; ++j)
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temp_in[j] = output[j + i*32];
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reference_32x32_dct_1d(temp_in, temp_out, 1);
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// Scale by some magic number
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for (int j = 0; j < 32; ++j)
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output[j + i * 32] = temp_out[j] / 4;
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}
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}
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TEST(VP9Idct32x32Test, AccuracyCheck) {
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ACMRandom rnd(ACMRandom::DeterministicSeed());
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const int count_test_block = 1000;
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for (int i = 0; i < count_test_block; ++i) {
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int16_t in[1024], coeff[1024];
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int16_t out_c[1024];
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double out_r[1024];
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// Initialize a test block with input range [-255, 255].
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for (int j = 0; j < 1024; ++j)
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in[j] = rnd.Rand8() - rnd.Rand8();
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reference_32x32_dct_2d(in, out_r);
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for (int j = 0; j < 1024; j++)
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coeff[j] = round(out_r[j]);
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vp9_short_idct32x32_c(coeff, out_c, 64);
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for (int j = 0; j < 1024; ++j) {
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const int diff = out_c[j] - in[j];
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const int error = diff * diff;
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EXPECT_GE(1, error)
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<< "Error: 3x32 IDCT has error " << error
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<< " at index " << j;
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}
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}
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}
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TEST(VP9Fdct32x32Test, AccuracyCheck) {
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ACMRandom rnd(ACMRandom::DeterministicSeed());
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unsigned int max_error = 0;
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int64_t total_error = 0;
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const int count_test_block = 1000;
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for (int i = 0; i < count_test_block; ++i) {
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int16_t test_input_block[1024];
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int16_t test_temp_block[1024];
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int16_t test_output_block[1024];
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// Initialize a test block with input range [-255, 255].
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for (int j = 0; j < 1024; ++j)
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test_input_block[j] = rnd.Rand8() - rnd.Rand8();
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const int pitch = 64;
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vp9_short_fdct32x32_c(test_input_block, test_temp_block, pitch);
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vp9_short_idct32x32_c(test_temp_block, test_output_block, pitch);
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for (int j = 0; j < 1024; ++j) {
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const unsigned diff = test_input_block[j] - test_output_block[j];
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const unsigned error = diff * diff;
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if (max_error < error)
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max_error = error;
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total_error += error;
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}
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}
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EXPECT_GE(1u, max_error)
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<< "Error: 32x32 FDCT/IDCT has an individual roundtrip error > 1";
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EXPECT_GE(count_test_block, total_error)
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<< "Error: 32x32 FDCT/IDCT has average roundtrip error > 1 per block";
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}
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TEST(VP9Fdct32x32Test, CoeffSizeCheck) {
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ACMRandom rnd(ACMRandom::DeterministicSeed());
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const int count_test_block = 1000;
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for (int i = 0; i < count_test_block; ++i) {
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int16_t input_block[1024], input_extreme_block[1024];
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int16_t output_block[1024], output_extreme_block[1024];
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// Initialize a test block with input range [-255, 255].
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for (int j = 0; j < 1024; ++j) {
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input_block[j] = rnd.Rand8() - rnd.Rand8();
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input_extreme_block[j] = rnd.Rand8() % 2 ? 255 : -255;
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}
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if (i == 0)
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for (int j = 0; j < 1024; ++j)
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input_extreme_block[j] = 255;
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const int pitch = 64;
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vp9_short_fdct32x32_c(input_block, output_block, pitch);
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vp9_short_fdct32x32_c(input_extreme_block, output_extreme_block, pitch);
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// The minimum quant value is 4.
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for (int j = 0; j < 1024; ++j) {
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EXPECT_GE(4*DCT_MAX_VALUE, abs(output_block[j]))
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<< "Error: 32x32 FDCT has coefficient larger than 4*DCT_MAX_VALUE";
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EXPECT_GE(4*DCT_MAX_VALUE, abs(output_extreme_block[j]))
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<< "Error: 32x32 FDCT extreme has coefficient larger than "
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"4*DCT_MAX_VALUE";
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}
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}
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}
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} // namespace
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