mirror of
https://github.com/classilla/tenfourfox.git
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1034 lines
70 KiB
C++
1034 lines
70 KiB
C++
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/*
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* Copyright 2011 The LibYuv 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 <stdlib.h>
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#include <time.h>
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#include "libyuv/compare.h"
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#include "libyuv/convert.h"
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#include "libyuv/convert_argb.h"
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#include "libyuv/convert_from.h"
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#include "libyuv/convert_from_argb.h"
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#include "libyuv/cpu_id.h"
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#include "libyuv/format_conversion.h"
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#ifdef HAVE_JPEG
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#include "libyuv/mjpeg_decoder.h"
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#endif
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#include "libyuv/planar_functions.h"
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#include "libyuv/rotate.h"
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#include "libyuv/row.h"
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#include "../unit_test/unit_test.h"
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#if defined(_MSC_VER)
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#define SIMD_ALIGNED(var) __declspec(align(16)) var
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#else // __GNUC__
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#define SIMD_ALIGNED(var) var __attribute__((aligned(16)))
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#endif
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namespace libyuv {
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#define SUBSAMPLE(v, a) ((((v) + (a) - 1)) / (a))
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#define TESTPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, W1280, N, NEG, OFF) \
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TEST_F(libyuvTest, SRC_FMT_PLANAR##To##FMT_PLANAR##N) { \
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const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
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const int kHeight = benchmark_height_; \
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align_buffer_64(src_y, kWidth * kHeight + OFF); \
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align_buffer_64(src_u, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SRC_SUBSAMP_Y) + OFF); \
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align_buffer_64(src_v, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SRC_SUBSAMP_Y) + OFF); \
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align_buffer_64(dst_y_c, kWidth * kHeight); \
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align_buffer_64(dst_u_c, \
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SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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align_buffer_64(dst_v_c, \
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SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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align_buffer_64(dst_y_opt, kWidth * kHeight); \
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align_buffer_64(dst_u_opt, \
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SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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align_buffer_64(dst_v_opt, \
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SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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srandom(time(NULL)); \
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for (int i = 0; i < kHeight; ++i) \
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for (int j = 0; j < kWidth; ++j) \
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src_y[(i * kWidth) + j + OFF] = (random() & 0xff); \
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for (int i = 0; i < SUBSAMPLE(kHeight, SRC_SUBSAMP_Y); ++i) { \
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for (int j = 0; j < SUBSAMPLE(kWidth, SRC_SUBSAMP_X); ++j) { \
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src_u[(i * SUBSAMPLE(kWidth, SRC_SUBSAMP_X)) + j + OFF] = \
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(random() & 0xff); \
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src_v[(i * SUBSAMPLE(kWidth, SRC_SUBSAMP_X)) + j + OFF] = \
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(random() & 0xff); \
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} \
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} \
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memset(dst_y_c, 1, kWidth * kHeight); \
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memset(dst_u_c, 2, SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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memset(dst_v_c, 3, SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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memset(dst_y_opt, 101, kWidth * kHeight); \
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memset(dst_u_opt, 102, SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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memset(dst_v_opt, 103, SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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MaskCpuFlags(0); \
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SRC_FMT_PLANAR##To##FMT_PLANAR(src_y + OFF, kWidth, \
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src_u + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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src_v + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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dst_y_c, kWidth, \
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dst_u_c, SUBSAMPLE(kWidth, SUBSAMP_X), \
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dst_v_c, SUBSAMPLE(kWidth, SUBSAMP_X), \
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kWidth, NEG kHeight); \
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MaskCpuFlags(-1); \
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for (int i = 0; i < benchmark_iterations_; ++i) { \
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SRC_FMT_PLANAR##To##FMT_PLANAR(src_y + OFF, kWidth, \
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src_u + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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src_v + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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dst_y_opt, kWidth, \
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dst_u_opt, SUBSAMPLE(kWidth, SUBSAMP_X), \
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dst_v_opt, SUBSAMPLE(kWidth, SUBSAMP_X), \
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kWidth, NEG kHeight); \
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} \
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int max_diff = 0; \
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for (int i = 0; i < kHeight; ++i) { \
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for (int j = 0; j < kWidth; ++j) { \
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int abs_diff = \
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abs(static_cast<int>(dst_y_c[i * kWidth + j]) - \
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static_cast<int>(dst_y_opt[i * kWidth + j])); \
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if (abs_diff > max_diff) { \
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max_diff = abs_diff; \
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} \
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} \
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} \
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EXPECT_LE(max_diff, 0); \
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for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
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for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X); ++j) { \
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int abs_diff = \
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abs(static_cast<int>(dst_u_c[i * \
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SUBSAMPLE(kWidth, SUBSAMP_X) + j]) - \
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static_cast<int>(dst_u_opt[i * \
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SUBSAMPLE(kWidth, SUBSAMP_X) + j])); \
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if (abs_diff > max_diff) { \
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max_diff = abs_diff; \
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} \
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} \
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} \
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EXPECT_LE(max_diff, 3); \
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for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
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for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X); ++j) { \
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int abs_diff = \
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abs(static_cast<int>(dst_v_c[i * \
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SUBSAMPLE(kWidth, SUBSAMP_X) + j]) - \
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static_cast<int>(dst_v_opt[i * \
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SUBSAMPLE(kWidth, SUBSAMP_X) + j])); \
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if (abs_diff > max_diff) { \
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max_diff = abs_diff; \
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} \
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} \
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} \
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EXPECT_LE(max_diff, 3); \
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free_aligned_buffer_64(dst_y_c); \
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free_aligned_buffer_64(dst_u_c); \
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free_aligned_buffer_64(dst_v_c); \
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free_aligned_buffer_64(dst_y_opt); \
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free_aligned_buffer_64(dst_u_opt); \
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free_aligned_buffer_64(dst_v_opt); \
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free_aligned_buffer_64(src_y); \
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free_aligned_buffer_64(src_u); \
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free_aligned_buffer_64(src_v); \
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}
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#define TESTPLANARTOP(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y) \
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TESTPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_ - 4, _Any, +, 0) \
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TESTPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_, _Unaligned, +, 1) \
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TESTPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_, _Invert, -, 0) \
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TESTPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_, _Opt, +, 0)
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TESTPLANARTOP(I420, 2, 2, I420, 2, 2)
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TESTPLANARTOP(I422, 2, 1, I420, 2, 2)
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TESTPLANARTOP(I444, 1, 1, I420, 2, 2)
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TESTPLANARTOP(I411, 4, 1, I420, 2, 2)
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TESTPLANARTOP(I420, 2, 2, I422, 2, 1)
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TESTPLANARTOP(I420, 2, 2, I444, 1, 1)
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TESTPLANARTOP(I420, 2, 2, I411, 4, 1)
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TESTPLANARTOP(I420, 2, 2, I420Mirror, 2, 2)
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TESTPLANARTOP(I422, 2, 1, I422, 2, 1)
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TESTPLANARTOP(I444, 1, 1, I444, 1, 1)
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#define TESTPLANARTOBPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, W1280, N, NEG, OFF) \
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TEST_F(libyuvTest, SRC_FMT_PLANAR##To##FMT_PLANAR##N) { \
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const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
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const int kHeight = benchmark_height_; \
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align_buffer_64(src_y, kWidth * kHeight + OFF); \
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align_buffer_64(src_u, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SRC_SUBSAMP_Y) + OFF); \
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align_buffer_64(src_v, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SRC_SUBSAMP_Y) + OFF); \
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align_buffer_64(dst_y_c, kWidth * kHeight); \
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align_buffer_64(dst_uv_c, SUBSAMPLE(kWidth * 2, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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align_buffer_64(dst_y_opt, kWidth * kHeight); \
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align_buffer_64(dst_uv_opt, SUBSAMPLE(kWidth * 2, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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srandom(time(NULL)); \
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for (int i = 0; i < kHeight; ++i) \
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for (int j = 0; j < kWidth; ++j) \
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src_y[(i * kWidth) + j + OFF] = (random() & 0xff); \
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for (int i = 0; i < SUBSAMPLE(kHeight, SRC_SUBSAMP_Y); ++i) { \
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for (int j = 0; j < SUBSAMPLE(kWidth, SRC_SUBSAMP_X); ++j) { \
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src_u[(i * SUBSAMPLE(kWidth, SRC_SUBSAMP_X)) + j + OFF] = \
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(random() & 0xff); \
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src_v[(i * SUBSAMPLE(kWidth, SRC_SUBSAMP_X)) + j + OFF] = \
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(random() & 0xff); \
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} \
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} \
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memset(dst_y_c, 1, kWidth * kHeight); \
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memset(dst_uv_c, 2, SUBSAMPLE(kWidth * 2, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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memset(dst_y_opt, 101, kWidth * kHeight); \
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memset(dst_uv_opt, 102, SUBSAMPLE(kWidth * 2, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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MaskCpuFlags(0); \
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SRC_FMT_PLANAR##To##FMT_PLANAR(src_y + OFF, kWidth, \
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src_u + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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src_v + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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dst_y_c, kWidth, \
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dst_uv_c, SUBSAMPLE(kWidth * 2, SUBSAMP_X), \
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kWidth, NEG kHeight); \
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MaskCpuFlags(-1); \
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for (int i = 0; i < benchmark_iterations_; ++i) { \
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SRC_FMT_PLANAR##To##FMT_PLANAR(src_y + OFF, kWidth, \
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src_u + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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src_v + OFF, \
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SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
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dst_y_opt, kWidth, \
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dst_uv_opt, \
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SUBSAMPLE(kWidth * 2, SUBSAMP_X), \
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kWidth, NEG kHeight); \
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} \
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int max_diff = 0; \
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for (int i = 0; i < kHeight; ++i) { \
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for (int j = 0; j < kWidth; ++j) { \
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int abs_diff = \
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abs(static_cast<int>(dst_y_c[i * kWidth + j]) - \
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static_cast<int>(dst_y_opt[i * kWidth + j])); \
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if (abs_diff > max_diff) { \
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max_diff = abs_diff; \
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} \
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} \
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} \
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EXPECT_LE(max_diff, 1); \
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for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
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for (int j = 0; j < SUBSAMPLE(kWidth * 2, SUBSAMP_X); ++j) { \
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int abs_diff = \
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abs(static_cast<int>(dst_uv_c[i * \
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SUBSAMPLE(kWidth * 2, SUBSAMP_X) + j]) - \
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static_cast<int>(dst_uv_opt[i * \
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SUBSAMPLE(kWidth * 2, SUBSAMP_X) + j])); \
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if (abs_diff > max_diff) { \
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max_diff = abs_diff; \
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} \
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} \
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} \
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EXPECT_LE(max_diff, 1); \
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free_aligned_buffer_64(dst_y_c); \
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free_aligned_buffer_64(dst_uv_c); \
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free_aligned_buffer_64(dst_y_opt); \
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free_aligned_buffer_64(dst_uv_opt); \
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free_aligned_buffer_64(src_y); \
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free_aligned_buffer_64(src_u); \
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free_aligned_buffer_64(src_v); \
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}
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#define TESTPLANARTOBP(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y) \
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TESTPLANARTOBPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_ - 4, _Any, +, 0) \
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TESTPLANARTOBPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_, _Unaligned, +, 1) \
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TESTPLANARTOBPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_, _Invert, -, 0) \
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TESTPLANARTOBPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
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benchmark_width_, _Opt, +, 0)
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|
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TESTPLANARTOBP(I420, 2, 2, NV12, 2, 2)
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TESTPLANARTOBP(I420, 2, 2, NV21, 2, 2)
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#define TESTBIPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
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FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, W1280, N, NEG, OFF) \
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TEST_F(libyuvTest, SRC_FMT_PLANAR##To##FMT_PLANAR##N) { \
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const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
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const int kHeight = benchmark_height_; \
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align_buffer_64(src_y, kWidth * kHeight + OFF); \
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align_buffer_64(src_uv, 2 * SUBSAMPLE(kWidth, SRC_SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SRC_SUBSAMP_Y) + OFF); \
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align_buffer_64(dst_y_c, kWidth * kHeight); \
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align_buffer_64(dst_u_c, \
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SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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align_buffer_64(dst_v_c, \
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SUBSAMPLE(kWidth, SUBSAMP_X) * \
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SUBSAMPLE(kHeight, SUBSAMP_Y)); \
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align_buffer_64(dst_y_opt, kWidth * kHeight); \
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align_buffer_64(dst_u_opt, \
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SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
align_buffer_64(dst_v_opt, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
srandom(time(NULL)); \
|
||
|
for (int i = 0; i < kHeight; ++i) \
|
||
|
for (int j = 0; j < kWidth; ++j) \
|
||
|
src_y[(i * kWidth) + j + OFF] = (random() & 0xff); \
|
||
|
for (int i = 0; i < SUBSAMPLE(kHeight, SRC_SUBSAMP_Y); ++i) { \
|
||
|
for (int j = 0; j < 2 * SUBSAMPLE(kWidth, SRC_SUBSAMP_X); ++j) { \
|
||
|
src_uv[(i * 2 * SUBSAMPLE(kWidth, SRC_SUBSAMP_X)) + j + OFF] = \
|
||
|
(random() & 0xff); \
|
||
|
} \
|
||
|
} \
|
||
|
memset(dst_y_c, 1, kWidth * kHeight); \
|
||
|
memset(dst_u_c, 2, SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_v_c, 3, SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_y_opt, 101, kWidth * kHeight); \
|
||
|
memset(dst_u_opt, 102, SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_v_opt, 103, SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
MaskCpuFlags(0); \
|
||
|
SRC_FMT_PLANAR##To##FMT_PLANAR(src_y + OFF, kWidth, \
|
||
|
src_uv + OFF, \
|
||
|
2 * SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
|
||
|
dst_y_c, kWidth, \
|
||
|
dst_u_c, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
dst_v_c, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
kWidth, NEG kHeight); \
|
||
|
MaskCpuFlags(-1); \
|
||
|
for (int i = 0; i < benchmark_iterations_; ++i) { \
|
||
|
SRC_FMT_PLANAR##To##FMT_PLANAR(src_y + OFF, kWidth, \
|
||
|
src_uv + OFF, \
|
||
|
2 * SUBSAMPLE(kWidth, SRC_SUBSAMP_X), \
|
||
|
dst_y_opt, kWidth, \
|
||
|
dst_u_opt, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
dst_v_opt, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
kWidth, NEG kHeight); \
|
||
|
} \
|
||
|
int max_diff = 0; \
|
||
|
for (int i = 0; i < kHeight; ++i) { \
|
||
|
for (int j = 0; j < kWidth; ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_y_c[i * kWidth + j]) - \
|
||
|
static_cast<int>(dst_y_opt[i * kWidth + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, 1); \
|
||
|
for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
|
||
|
for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X); ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_u_c[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j]) - \
|
||
|
static_cast<int>(dst_u_opt[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, 1); \
|
||
|
for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
|
||
|
for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X); ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_v_c[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j]) - \
|
||
|
static_cast<int>(dst_v_opt[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, 1); \
|
||
|
free_aligned_buffer_64(dst_y_c); \
|
||
|
free_aligned_buffer_64(dst_u_c); \
|
||
|
free_aligned_buffer_64(dst_v_c); \
|
||
|
free_aligned_buffer_64(dst_y_opt); \
|
||
|
free_aligned_buffer_64(dst_u_opt); \
|
||
|
free_aligned_buffer_64(dst_v_opt); \
|
||
|
free_aligned_buffer_64(src_y); \
|
||
|
free_aligned_buffer_64(src_uv); \
|
||
|
}
|
||
|
|
||
|
#define TESTBIPLANARTOP(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
|
||
|
FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y) \
|
||
|
TESTBIPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
|
||
|
FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_ - 4, _Any, +, 0) \
|
||
|
TESTBIPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
|
||
|
FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, _Unaligned, +, 1) \
|
||
|
TESTBIPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
|
||
|
FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, _Invert, -, 0) \
|
||
|
TESTBIPLANARTOPI(SRC_FMT_PLANAR, SRC_SUBSAMP_X, SRC_SUBSAMP_Y, \
|
||
|
FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, _Opt, +, 0)
|
||
|
|
||
|
TESTBIPLANARTOP(NV12, 2, 2, I420, 2, 2)
|
||
|
TESTBIPLANARTOP(NV21, 2, 2, I420, 2, 2)
|
||
|
|
||
|
#define ALIGNINT(V, ALIGN) (((V) + (ALIGN) - 1) / (ALIGN) * (ALIGN))
|
||
|
|
||
|
#define TESTPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, ALIGN, \
|
||
|
YALIGN, W1280, DIFF, N, NEG, OFF, FMT_C, BPP_C) \
|
||
|
TEST_F(libyuvTest, FMT_PLANAR##To##FMT_B##N) { \
|
||
|
const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
|
||
|
const int kHeight = ALIGNINT(benchmark_height_, YALIGN); \
|
||
|
const int kStrideB = ALIGNINT(kWidth * BPP_B, ALIGN); \
|
||
|
const int kSizeUV = \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * SUBSAMPLE(kHeight, SUBSAMP_Y); \
|
||
|
align_buffer_64(src_y, kWidth * kHeight + OFF); \
|
||
|
align_buffer_64(src_u, kSizeUV + OFF); \
|
||
|
align_buffer_64(src_v, kSizeUV + OFF); \
|
||
|
align_buffer_64(dst_argb_c, kStrideB * kHeight); \
|
||
|
align_buffer_64(dst_argb_opt, kStrideB * kHeight); \
|
||
|
srandom(time(NULL)); \
|
||
|
for (int i = 0; i < kWidth * kHeight; ++i) { \
|
||
|
src_y[i + OFF] = (random() & 0xff); \
|
||
|
} \
|
||
|
for (int i = 0; i < kSizeUV; ++i) { \
|
||
|
src_u[i + OFF] = (random() & 0xff); \
|
||
|
src_v[i + OFF] = (random() & 0xff); \
|
||
|
} \
|
||
|
memset(dst_argb_c, 1, kStrideB * kHeight); \
|
||
|
memset(dst_argb_opt, 101, kStrideB * kHeight); \
|
||
|
MaskCpuFlags(0); \
|
||
|
FMT_PLANAR##To##FMT_B(src_y + OFF, kWidth, \
|
||
|
src_u + OFF, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
src_v + OFF, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
dst_argb_c, kStrideB, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
MaskCpuFlags(-1); \
|
||
|
for (int i = 0; i < benchmark_iterations_; ++i) { \
|
||
|
FMT_PLANAR##To##FMT_B(src_y + OFF, kWidth, \
|
||
|
src_u + OFF, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
src_v + OFF, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
dst_argb_opt, kStrideB, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
} \
|
||
|
int max_diff = 0; \
|
||
|
/* Convert to ARGB so 565 is expanded to bytes that can be compared. */ \
|
||
|
align_buffer_64(dst_argb32_c, kWidth * BPP_C * kHeight); \
|
||
|
align_buffer_64(dst_argb32_opt, kWidth * BPP_C * kHeight); \
|
||
|
memset(dst_argb32_c, 2, kWidth * BPP_C * kHeight); \
|
||
|
memset(dst_argb32_opt, 102, kWidth * BPP_C * kHeight); \
|
||
|
FMT_B##To##FMT_C(dst_argb_c, kStrideB, \
|
||
|
dst_argb32_c, kWidth * BPP_C , \
|
||
|
kWidth, kHeight); \
|
||
|
FMT_B##To##FMT_C(dst_argb_opt, kStrideB, \
|
||
|
dst_argb32_opt, kWidth * BPP_C , \
|
||
|
kWidth, kHeight); \
|
||
|
for (int i = 0; i < kWidth * BPP_C * kHeight; ++i) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_argb32_c[i]) - \
|
||
|
static_cast<int>(dst_argb32_opt[i])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, DIFF); \
|
||
|
free_aligned_buffer_64(src_y); \
|
||
|
free_aligned_buffer_64(src_u); \
|
||
|
free_aligned_buffer_64(src_v); \
|
||
|
free_aligned_buffer_64(dst_argb_c); \
|
||
|
free_aligned_buffer_64(dst_argb_opt); \
|
||
|
free_aligned_buffer_64(dst_argb32_c); \
|
||
|
free_aligned_buffer_64(dst_argb32_opt); \
|
||
|
}
|
||
|
|
||
|
#define TESTPLANARTOB(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, ALIGN, \
|
||
|
YALIGN, DIFF, FMT_C, BPP_C) \
|
||
|
TESTPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, ALIGN, \
|
||
|
YALIGN, benchmark_width_ - 4, DIFF, _Any, +, 0, FMT_C, BPP_C) \
|
||
|
TESTPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, ALIGN, \
|
||
|
YALIGN, benchmark_width_, DIFF, _Unaligned, +, 1, FMT_C, BPP_C) \
|
||
|
TESTPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, ALIGN, \
|
||
|
YALIGN, benchmark_width_, DIFF, _Invert, -, 0, FMT_C, BPP_C) \
|
||
|
TESTPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, ALIGN, \
|
||
|
YALIGN, benchmark_width_, DIFF, _Opt, +, 0, FMT_C, BPP_C)
|
||
|
|
||
|
// TODO(fbarchard): Make vertical alignment unnecessary on bayer.
|
||
|
TESTPLANARTOB(I420, 2, 2, ARGB, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, BGRA, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, ABGR, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, RGBA, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, RAW, 3, 3, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, RGB24, 3, 3, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, RGB565, 2, 2, 1, 9, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, ARGB1555, 2, 2, 1, 9, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, ARGB4444, 2, 2, 1, 17, ARGB, 4)
|
||
|
TESTPLANARTOB(I422, 2, 1, ARGB, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I422, 2, 1, BGRA, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I422, 2, 1, ABGR, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I422, 2, 1, RGBA, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I411, 4, 1, ARGB, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I444, 1, 1, ARGB, 4, 4, 1, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, YUY2, 2, 4, 1, 1, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, UYVY, 2, 4, 1, 1, ARGB, 4)
|
||
|
TESTPLANARTOB(I422, 2, 1, YUY2, 2, 4, 1, 0, ARGB, 4)
|
||
|
TESTPLANARTOB(I422, 2, 1, UYVY, 2, 4, 1, 0, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, I400, 1, 1, 1, 0, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, BayerBGGR, 1, 2, 2, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, BayerRGGB, 1, 2, 2, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, BayerGBRG, 1, 2, 2, 2, ARGB, 4)
|
||
|
TESTPLANARTOB(I420, 2, 2, BayerGRBG, 1, 2, 2, 2, ARGB, 4)
|
||
|
|
||
|
#define TESTBIPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, \
|
||
|
W1280, DIFF, N, NEG, OFF) \
|
||
|
TEST_F(libyuvTest, FMT_PLANAR##To##FMT_B##N) { \
|
||
|
const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
|
||
|
const int kHeight = benchmark_height_; \
|
||
|
const int kStrideB = kWidth * BPP_B; \
|
||
|
align_buffer_64(src_y, kWidth * kHeight + OFF); \
|
||
|
align_buffer_64(src_uv, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y) * 2 + OFF); \
|
||
|
align_buffer_64(dst_argb_c, kStrideB * kHeight); \
|
||
|
align_buffer_64(dst_argb_opt, kStrideB * kHeight); \
|
||
|
srandom(time(NULL)); \
|
||
|
for (int i = 0; i < kHeight; ++i) \
|
||
|
for (int j = 0; j < kWidth; ++j) \
|
||
|
src_y[(i * kWidth) + j + OFF] = (random() & 0xff); \
|
||
|
for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
|
||
|
for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X) * 2; ++j) { \
|
||
|
src_uv[(i * SUBSAMPLE(kWidth, SUBSAMP_X)) * 2 + j + OFF] = \
|
||
|
(random() & 0xff); \
|
||
|
} \
|
||
|
} \
|
||
|
memset(dst_argb_c, 1, kStrideB * kHeight); \
|
||
|
memset(dst_argb_opt, 101, kStrideB * kHeight); \
|
||
|
MaskCpuFlags(0); \
|
||
|
FMT_PLANAR##To##FMT_B(src_y + OFF, kWidth, \
|
||
|
src_uv + OFF, SUBSAMPLE(kWidth, SUBSAMP_X) * 2, \
|
||
|
dst_argb_c, kWidth * BPP_B, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
MaskCpuFlags(-1); \
|
||
|
for (int i = 0; i < benchmark_iterations_; ++i) { \
|
||
|
FMT_PLANAR##To##FMT_B(src_y + OFF, kWidth, \
|
||
|
src_uv + OFF, SUBSAMPLE(kWidth, SUBSAMP_X) * 2, \
|
||
|
dst_argb_opt, kWidth * BPP_B, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
} \
|
||
|
/* Convert to ARGB so 565 is expanded to bytes that can be compared. */ \
|
||
|
align_buffer_64(dst_argb32_c, kWidth * 4 * kHeight); \
|
||
|
align_buffer_64(dst_argb32_opt, kWidth * 4 * kHeight); \
|
||
|
memset(dst_argb32_c, 2, kWidth * 4 * kHeight); \
|
||
|
memset(dst_argb32_opt, 102, kWidth * 4 * kHeight); \
|
||
|
FMT_B##ToARGB(dst_argb_c, kStrideB, \
|
||
|
dst_argb32_c, kWidth * 4, \
|
||
|
kWidth, kHeight); \
|
||
|
FMT_B##ToARGB(dst_argb_opt, kStrideB, \
|
||
|
dst_argb32_opt, kWidth * 4, \
|
||
|
kWidth, kHeight); \
|
||
|
int max_diff = 0; \
|
||
|
for (int i = 0; i < kHeight; ++i) { \
|
||
|
for (int j = 0; j < kWidth * 4; ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_argb32_c[i * kWidth * 4 + j]) - \
|
||
|
static_cast<int>(dst_argb32_opt[i * kWidth * 4 + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, DIFF); \
|
||
|
free_aligned_buffer_64(src_y); \
|
||
|
free_aligned_buffer_64(src_uv); \
|
||
|
free_aligned_buffer_64(dst_argb_c); \
|
||
|
free_aligned_buffer_64(dst_argb_opt); \
|
||
|
free_aligned_buffer_64(dst_argb32_c); \
|
||
|
free_aligned_buffer_64(dst_argb32_opt); \
|
||
|
}
|
||
|
|
||
|
#define TESTBIPLANARTOB(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, DIFF) \
|
||
|
TESTBIPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, \
|
||
|
benchmark_width_ - 4, DIFF, _Any, +, 0) \
|
||
|
TESTBIPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, \
|
||
|
benchmark_width_, DIFF, _Unaligned, +, 1) \
|
||
|
TESTBIPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, \
|
||
|
benchmark_width_, DIFF, _Invert, -, 0) \
|
||
|
TESTBIPLANARTOBI(FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, FMT_B, BPP_B, \
|
||
|
benchmark_width_, DIFF, _Opt, +, 0)
|
||
|
|
||
|
TESTBIPLANARTOB(NV12, 2, 2, ARGB, 4, 2)
|
||
|
TESTBIPLANARTOB(NV21, 2, 2, ARGB, 4, 2)
|
||
|
TESTBIPLANARTOB(NV12, 2, 2, RGB565, 2, 9)
|
||
|
TESTBIPLANARTOB(NV21, 2, 2, RGB565, 2, 9)
|
||
|
|
||
|
#define TESTATOPLANARI(FMT_A, BPP_A, YALIGN, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
W1280, DIFF, N, NEG, OFF) \
|
||
|
TEST_F(libyuvTest, FMT_A##To##FMT_PLANAR##N) { \
|
||
|
const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
|
||
|
const int kHeight = ALIGNINT(benchmark_height_, YALIGN); \
|
||
|
const int kStride = \
|
||
|
(SUBSAMPLE(kWidth, SUBSAMP_X) * SUBSAMP_X * 8 * BPP_A + 7) / 8; \
|
||
|
align_buffer_64(src_argb, kStride * kHeight + OFF); \
|
||
|
align_buffer_64(dst_y_c, kWidth * kHeight); \
|
||
|
align_buffer_64(dst_u_c, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
align_buffer_64(dst_v_c, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
align_buffer_64(dst_y_opt, kWidth * kHeight); \
|
||
|
align_buffer_64(dst_u_opt, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
align_buffer_64(dst_v_opt, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_y_c, 1, kWidth * kHeight); \
|
||
|
memset(dst_u_c, 2, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_v_c, 3, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_y_opt, 101, kWidth * kHeight); \
|
||
|
memset(dst_u_opt, 102, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_v_opt, 103, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
srandom(time(NULL)); \
|
||
|
for (int i = 0; i < kHeight; ++i) \
|
||
|
for (int j = 0; j < kStride; ++j) \
|
||
|
src_argb[(i * kStride) + j + OFF] = (random() & 0xff); \
|
||
|
MaskCpuFlags(0); \
|
||
|
FMT_A##To##FMT_PLANAR(src_argb + OFF, kStride, \
|
||
|
dst_y_c, kWidth, \
|
||
|
dst_u_c, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
dst_v_c, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
kWidth, NEG kHeight); \
|
||
|
MaskCpuFlags(-1); \
|
||
|
for (int i = 0; i < benchmark_iterations_; ++i) { \
|
||
|
FMT_A##To##FMT_PLANAR(src_argb + OFF, kStride, \
|
||
|
dst_y_opt, kWidth, \
|
||
|
dst_u_opt, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
dst_v_opt, SUBSAMPLE(kWidth, SUBSAMP_X), \
|
||
|
kWidth, NEG kHeight); \
|
||
|
} \
|
||
|
int max_diff = 0; \
|
||
|
for (int i = 0; i < kHeight; ++i) { \
|
||
|
for (int j = 0; j < kWidth; ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_y_c[i * kWidth + j]) - \
|
||
|
static_cast<int>(dst_y_opt[i * kWidth + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, DIFF); \
|
||
|
for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
|
||
|
for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X); ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_u_c[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j]) - \
|
||
|
static_cast<int>(dst_u_opt[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, DIFF); \
|
||
|
for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
|
||
|
for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X); ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_v_c[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j]) - \
|
||
|
static_cast<int>(dst_v_opt[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, DIFF); \
|
||
|
free_aligned_buffer_64(dst_y_c); \
|
||
|
free_aligned_buffer_64(dst_u_c); \
|
||
|
free_aligned_buffer_64(dst_v_c); \
|
||
|
free_aligned_buffer_64(dst_y_opt); \
|
||
|
free_aligned_buffer_64(dst_u_opt); \
|
||
|
free_aligned_buffer_64(dst_v_opt); \
|
||
|
free_aligned_buffer_64(src_argb); \
|
||
|
}
|
||
|
|
||
|
#define TESTATOPLANAR(FMT_A, BPP_A, YALIGN, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
DIFF) \
|
||
|
TESTATOPLANARI(FMT_A, BPP_A, YALIGN, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_ - 4, DIFF, _Any, +, 0) \
|
||
|
TESTATOPLANARI(FMT_A, BPP_A, YALIGN, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, DIFF, _Unaligned, +, 1) \
|
||
|
TESTATOPLANARI(FMT_A, BPP_A, YALIGN, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, DIFF, _Invert, -, 0) \
|
||
|
TESTATOPLANARI(FMT_A, BPP_A, YALIGN, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, DIFF, _Opt, +, 0)
|
||
|
|
||
|
TESTATOPLANAR(ARGB, 4, 1, I420, 2, 2, 4)
|
||
|
#ifdef __arm__
|
||
|
TESTATOPLANAR(ARGB, 4, 1, J420, 2, 2, 4)
|
||
|
#else
|
||
|
TESTATOPLANAR(ARGB, 4, 1, J420, 2, 2, 0)
|
||
|
#endif
|
||
|
TESTATOPLANAR(BGRA, 4, 1, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(ABGR, 4, 1, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(RGBA, 4, 1, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(RAW, 3, 1, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(RGB24, 3, 1, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(RGB565, 2, 1, I420, 2, 2, 5)
|
||
|
// TODO(fbarchard): Make 1555 neon work same as C code, reduce to diff 9.
|
||
|
TESTATOPLANAR(ARGB1555, 2, 1, I420, 2, 2, 15)
|
||
|
TESTATOPLANAR(ARGB4444, 2, 1, I420, 2, 2, 17)
|
||
|
TESTATOPLANAR(ARGB, 4, 1, I411, 4, 1, 4)
|
||
|
TESTATOPLANAR(ARGB, 4, 1, I422, 2, 1, 2)
|
||
|
TESTATOPLANAR(ARGB, 4, 1, I444, 1, 1, 2)
|
||
|
TESTATOPLANAR(YUY2, 2, 1, I420, 2, 2, 2)
|
||
|
TESTATOPLANAR(UYVY, 2, 1, I420, 2, 2, 2)
|
||
|
TESTATOPLANAR(YUY2, 2, 1, I422, 2, 1, 2)
|
||
|
TESTATOPLANAR(UYVY, 2, 1, I422, 2, 1, 2)
|
||
|
TESTATOPLANAR(I400, 1, 1, I420, 2, 2, 2)
|
||
|
TESTATOPLANAR(BayerBGGR, 1, 2, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(BayerRGGB, 1, 2, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(BayerGBRG, 1, 2, I420, 2, 2, 4)
|
||
|
TESTATOPLANAR(BayerGRBG, 1, 2, I420, 2, 2, 4)
|
||
|
|
||
|
#define TESTATOBIPLANARI(FMT_A, BPP_A, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
W1280, N, NEG, OFF) \
|
||
|
TEST_F(libyuvTest, FMT_A##To##FMT_PLANAR##N) { \
|
||
|
const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
|
||
|
const int kHeight = benchmark_height_; \
|
||
|
const int kStride = (kWidth * 8 * BPP_A + 7) / 8; \
|
||
|
align_buffer_64(src_argb, kStride * kHeight + OFF); \
|
||
|
align_buffer_64(dst_y_c, kWidth * kHeight); \
|
||
|
align_buffer_64(dst_uv_c, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * 2 * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
align_buffer_64(dst_y_opt, kWidth * kHeight); \
|
||
|
align_buffer_64(dst_uv_opt, \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * 2 * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
srandom(time(NULL)); \
|
||
|
for (int i = 0; i < kHeight; ++i) \
|
||
|
for (int j = 0; j < kStride; ++j) \
|
||
|
src_argb[(i * kStride) + j + OFF] = (random() & 0xff); \
|
||
|
memset(dst_y_c, 1, kWidth * kHeight); \
|
||
|
memset(dst_uv_c, 2, SUBSAMPLE(kWidth, SUBSAMP_X) * 2 * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
memset(dst_y_opt, 101, kWidth * kHeight); \
|
||
|
memset(dst_uv_opt, 102, SUBSAMPLE(kWidth, SUBSAMP_X) * 2 * \
|
||
|
SUBSAMPLE(kHeight, SUBSAMP_Y)); \
|
||
|
MaskCpuFlags(0); \
|
||
|
FMT_A##To##FMT_PLANAR(src_argb + OFF, kStride, \
|
||
|
dst_y_c, kWidth, \
|
||
|
dst_uv_c, SUBSAMPLE(kWidth, SUBSAMP_X) * 2, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
MaskCpuFlags(-1); \
|
||
|
for (int i = 0; i < benchmark_iterations_; ++i) { \
|
||
|
FMT_A##To##FMT_PLANAR(src_argb + OFF, kStride, \
|
||
|
dst_y_opt, kWidth, \
|
||
|
dst_uv_opt, SUBSAMPLE(kWidth, SUBSAMP_X) * 2, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
} \
|
||
|
int max_diff = 0; \
|
||
|
for (int i = 0; i < kHeight; ++i) { \
|
||
|
for (int j = 0; j < kWidth; ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_y_c[i * kWidth + j]) - \
|
||
|
static_cast<int>(dst_y_opt[i * kWidth + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, 4); \
|
||
|
for (int i = 0; i < SUBSAMPLE(kHeight, SUBSAMP_Y); ++i) { \
|
||
|
for (int j = 0; j < SUBSAMPLE(kWidth, SUBSAMP_X) * 2; ++j) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_uv_c[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * 2 + j]) - \
|
||
|
static_cast<int>(dst_uv_opt[i * \
|
||
|
SUBSAMPLE(kWidth, SUBSAMP_X) * 2 + j])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, 4); \
|
||
|
free_aligned_buffer_64(dst_y_c); \
|
||
|
free_aligned_buffer_64(dst_uv_c); \
|
||
|
free_aligned_buffer_64(dst_y_opt); \
|
||
|
free_aligned_buffer_64(dst_uv_opt); \
|
||
|
free_aligned_buffer_64(src_argb); \
|
||
|
}
|
||
|
|
||
|
#define TESTATOBIPLANAR(FMT_A, BPP_A, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y) \
|
||
|
TESTATOBIPLANARI(FMT_A, BPP_A, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_ - 4, _Any, +, 0) \
|
||
|
TESTATOBIPLANARI(FMT_A, BPP_A, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, _Unaligned, +, 1) \
|
||
|
TESTATOBIPLANARI(FMT_A, BPP_A, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, _Invert, -, 0) \
|
||
|
TESTATOBIPLANARI(FMT_A, BPP_A, FMT_PLANAR, SUBSAMP_X, SUBSAMP_Y, \
|
||
|
benchmark_width_, _Opt, +, 0)
|
||
|
|
||
|
TESTATOBIPLANAR(ARGB, 4, NV12, 2, 2)
|
||
|
TESTATOBIPLANAR(ARGB, 4, NV21, 2, 2)
|
||
|
|
||
|
#define TESTATOBI(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, \
|
||
|
W1280, DIFF, N, NEG, OFF) \
|
||
|
TEST_F(libyuvTest, FMT_A##To##FMT_B##N) { \
|
||
|
const int kWidth = ((W1280) > 0) ? (W1280) : 1; \
|
||
|
const int kHeight = benchmark_height_; \
|
||
|
const int kHeightA = (kHeight + HEIGHT_A - 1) / HEIGHT_A * HEIGHT_A; \
|
||
|
const int kHeightB = (kHeight + HEIGHT_B - 1) / HEIGHT_B * HEIGHT_B; \
|
||
|
const int kStrideA = (kWidth * BPP_A + STRIDE_A - 1) / STRIDE_A * STRIDE_A; \
|
||
|
const int kStrideB = (kWidth * BPP_B + STRIDE_B - 1) / STRIDE_B * STRIDE_B; \
|
||
|
align_buffer_64(src_argb, kStrideA * kHeightA + OFF); \
|
||
|
align_buffer_64(dst_argb_c, kStrideB * kHeightB); \
|
||
|
align_buffer_64(dst_argb_opt, kStrideB * kHeightB); \
|
||
|
srandom(time(NULL)); \
|
||
|
for (int i = 0; i < kStrideA * kHeightA; ++i) { \
|
||
|
src_argb[i + OFF] = (random() & 0xff); \
|
||
|
} \
|
||
|
memset(dst_argb_c, 1, kStrideB * kHeightB); \
|
||
|
memset(dst_argb_opt, 101, kStrideB * kHeightB); \
|
||
|
MaskCpuFlags(0); \
|
||
|
FMT_A##To##FMT_B(src_argb + OFF, kStrideA, \
|
||
|
dst_argb_c, kStrideB, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
MaskCpuFlags(-1); \
|
||
|
for (int i = 0; i < benchmark_iterations_; ++i) { \
|
||
|
FMT_A##To##FMT_B(src_argb + OFF, kStrideA, \
|
||
|
dst_argb_opt, kStrideB, \
|
||
|
kWidth, NEG kHeight); \
|
||
|
} \
|
||
|
int max_diff = 0; \
|
||
|
for (int i = 0; i < kStrideB * kHeightB; ++i) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_argb_c[i]) - \
|
||
|
static_cast<int>(dst_argb_opt[i])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, DIFF); \
|
||
|
free_aligned_buffer_64(src_argb); \
|
||
|
free_aligned_buffer_64(dst_argb_c); \
|
||
|
free_aligned_buffer_64(dst_argb_opt); \
|
||
|
}
|
||
|
|
||
|
#define TESTATOBRANDOM(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, DIFF) \
|
||
|
TEST_F(libyuvTest, FMT_A##To##FMT_B##_Random) { \
|
||
|
srandom(time(NULL)); \
|
||
|
for (int times = 0; times < benchmark_iterations_; ++times) { \
|
||
|
const int kWidth = (random() & 63) + 1; \
|
||
|
const int kHeight = (random() & 31) + 1; \
|
||
|
const int kHeightA = (kHeight + HEIGHT_A - 1) / HEIGHT_A * HEIGHT_A; \
|
||
|
const int kHeightB = (kHeight + HEIGHT_B - 1) / HEIGHT_B * HEIGHT_B; \
|
||
|
const int kStrideA = (kWidth * BPP_A + STRIDE_A - 1) / STRIDE_A * STRIDE_A;\
|
||
|
const int kStrideB = (kWidth * BPP_B + STRIDE_B - 1) / STRIDE_B * STRIDE_B;\
|
||
|
align_buffer_page_end(src_argb, kStrideA * kHeightA); \
|
||
|
align_buffer_page_end(dst_argb_c, kStrideB * kHeightB); \
|
||
|
align_buffer_page_end(dst_argb_opt, kStrideB * kHeightB); \
|
||
|
for (int i = 0; i < kStrideA * kHeightA; ++i) { \
|
||
|
src_argb[i] = (random() & 0xff); \
|
||
|
} \
|
||
|
memset(dst_argb_c, 123, kStrideB * kHeightB); \
|
||
|
memset(dst_argb_opt, 123, kStrideB * kHeightB); \
|
||
|
MaskCpuFlags(0); \
|
||
|
FMT_A##To##FMT_B(src_argb, kStrideA, \
|
||
|
dst_argb_c, kStrideB, \
|
||
|
kWidth, kHeight); \
|
||
|
MaskCpuFlags(-1); \
|
||
|
FMT_A##To##FMT_B(src_argb, kStrideA, \
|
||
|
dst_argb_opt, kStrideB, \
|
||
|
kWidth, kHeight); \
|
||
|
int max_diff = 0; \
|
||
|
for (int i = 0; i < kStrideB * kHeightB; ++i) { \
|
||
|
int abs_diff = \
|
||
|
abs(static_cast<int>(dst_argb_c[i]) - \
|
||
|
static_cast<int>(dst_argb_opt[i])); \
|
||
|
if (abs_diff > max_diff) { \
|
||
|
max_diff = abs_diff; \
|
||
|
} \
|
||
|
} \
|
||
|
EXPECT_LE(max_diff, DIFF); \
|
||
|
free_aligned_buffer_page_end(src_argb); \
|
||
|
free_aligned_buffer_page_end(dst_argb_c); \
|
||
|
free_aligned_buffer_page_end(dst_argb_opt); \
|
||
|
} \
|
||
|
}
|
||
|
|
||
|
#define TESTATOB(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, DIFF) \
|
||
|
TESTATOBI(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, \
|
||
|
benchmark_width_ - 4, DIFF, _Any, +, 0) \
|
||
|
TESTATOBI(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, \
|
||
|
benchmark_width_, DIFF, _Unaligned, +, 1) \
|
||
|
TESTATOBI(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, \
|
||
|
benchmark_width_, DIFF, _Invert, -, 0) \
|
||
|
TESTATOBI(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, \
|
||
|
benchmark_width_, DIFF, _Opt, +, 0) \
|
||
|
TESTATOBRANDOM(FMT_A, BPP_A, STRIDE_A, HEIGHT_A, \
|
||
|
FMT_B, BPP_B, STRIDE_B, HEIGHT_B, DIFF)
|
||
|
|
||
|
TESTATOB(ARGB, 4, 4, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, BGRA, 4, 4, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, ABGR, 4, 4, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, RGBA, 4, 4, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, RAW, 3, 3, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, RGB24, 3, 3, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, RGB565, 2, 2, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, ARGB1555, 2, 2, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, ARGB4444, 2, 2, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, BayerBGGR, 1, 1, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, BayerRGGB, 1, 1, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, BayerGBRG, 1, 1, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, BayerGRBG, 1, 1, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, YUY2, 2, 4, 1, 4)
|
||
|
TESTATOB(ARGB, 4, 4, 1, UYVY, 2, 4, 1, 4)
|
||
|
TESTATOB(ARGB, 4, 4, 1, I400, 1, 1, 1, 2)
|
||
|
TESTATOB(ARGB, 4, 4, 1, J400, 1, 1, 1, 2)
|
||
|
TESTATOB(BGRA, 4, 4, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(ABGR, 4, 4, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(RGBA, 4, 4, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(RAW, 3, 3, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(RGB24, 3, 3, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(RGB565, 2, 2, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(ARGB1555, 2, 2, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(ARGB4444, 2, 2, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(YUY2, 2, 4, 1, ARGB, 4, 4, 1, 4)
|
||
|
TESTATOB(UYVY, 2, 4, 1, ARGB, 4, 4, 1, 4)
|
||
|
TESTATOB(BayerBGGR, 1, 2, 2, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(BayerRGGB, 1, 2, 2, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(BayerGBRG, 1, 2, 2, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(BayerGRBG, 1, 2, 2, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(I400, 1, 1, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(I400, 1, 1, 1, I400, 1, 1, 1, 0)
|
||
|
TESTATOB(I400, 1, 1, 1, I400Mirror, 1, 1, 1, 0)
|
||
|
TESTATOB(Y, 1, 1, 1, ARGB, 4, 4, 1, 0)
|
||
|
TESTATOB(ARGB, 4, 4, 1, ARGBMirror, 4, 4, 1, 0)
|
||
|
|
||
|
TEST_F(libyuvTest, Test565) {
|
||
|
SIMD_ALIGNED(uint8 orig_pixels[256][4]);
|
||
|
SIMD_ALIGNED(uint8 pixels565[256][2]);
|
||
|
|
||
|
for (int i = 0; i < 256; ++i) {
|
||
|
for (int j = 0; j < 4; ++j) {
|
||
|
orig_pixels[i][j] = i;
|
||
|
}
|
||
|
}
|
||
|
ARGBToRGB565(&orig_pixels[0][0], 0, &pixels565[0][0], 0, 256, 1);
|
||
|
uint32 checksum = HashDjb2(&pixels565[0][0], sizeof(pixels565), 5381);
|
||
|
EXPECT_EQ(610919429u, checksum);
|
||
|
}
|
||
|
|
||
|
#ifdef HAVE_JPEG
|
||
|
TEST_F(libyuvTest, ValidateJpeg) {
|
||
|
const int kOff = 10;
|
||
|
const int kMinJpeg = 64;
|
||
|
const int kImageSize = benchmark_width_ * benchmark_height_ >= kMinJpeg ?
|
||
|
benchmark_width_ * benchmark_height_ : kMinJpeg;
|
||
|
const int kSize = kImageSize + kOff;
|
||
|
align_buffer_64(orig_pixels, kSize);
|
||
|
|
||
|
// No SOI or EOI. Expect fail.
|
||
|
memset(orig_pixels, 0, kSize);
|
||
|
|
||
|
// EOI, SOI. Expect pass.
|
||
|
orig_pixels[0] = 0xff;
|
||
|
orig_pixels[1] = 0xd8; // SOI.
|
||
|
orig_pixels[kSize - kOff + 0] = 0xff;
|
||
|
orig_pixels[kSize - kOff + 1] = 0xd9; // EOI.
|
||
|
for (int times = 0; times < benchmark_iterations_; ++times) {
|
||
|
EXPECT_TRUE(ValidateJpeg(orig_pixels, kSize));
|
||
|
}
|
||
|
free_aligned_buffer_page_end(orig_pixels);
|
||
|
}
|
||
|
|
||
|
TEST_F(libyuvTest, InvalidateJpeg) {
|
||
|
const int kOff = 10;
|
||
|
const int kMinJpeg = 64;
|
||
|
const int kImageSize = benchmark_width_ * benchmark_height_ >= kMinJpeg ?
|
||
|
benchmark_width_ * benchmark_height_ : kMinJpeg;
|
||
|
const int kSize = kImageSize + kOff;
|
||
|
align_buffer_64(orig_pixels, kSize);
|
||
|
|
||
|
// No SOI or EOI. Expect fail.
|
||
|
memset(orig_pixels, 0, kSize);
|
||
|
EXPECT_FALSE(ValidateJpeg(orig_pixels, kSize));
|
||
|
|
||
|
// SOI but no EOI. Expect fail.
|
||
|
orig_pixels[0] = 0xff;
|
||
|
orig_pixels[1] = 0xd8; // SOI.
|
||
|
for (int times = 0; times < benchmark_iterations_; ++times) {
|
||
|
EXPECT_FALSE(ValidateJpeg(orig_pixels, kSize));
|
||
|
}
|
||
|
// EOI but no SOI. Expect fail.
|
||
|
orig_pixels[0] = 0;
|
||
|
orig_pixels[1] = 0;
|
||
|
orig_pixels[kSize - kOff + 0] = 0xff;
|
||
|
orig_pixels[kSize - kOff + 1] = 0xd9; // EOI.
|
||
|
EXPECT_FALSE(ValidateJpeg(orig_pixels, kSize));
|
||
|
|
||
|
free_aligned_buffer_page_end(orig_pixels);
|
||
|
}
|
||
|
|
||
|
#endif
|
||
|
|
||
|
} // namespace libyuv
|