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Gauss unittest, Scale comments for neon64 half size updated
[ RUN ] LibYUVPlanarTest.TestGaussRow_Opt [ OK ] LibYUVPlanarTest.TestGaussRow_Opt (1274 ms) [ RUN ] LibYUVPlanarTest.TestGaussCol_Opt [ OK ] LibYUVPlanarTest.TestGaussCol_Opt (916 ms) TBR=kjellander@chromium.org BUG=libyuv:719 TEST=LibYUVPlanarTest.TestGaussRow_Opt Change-Id: Id480f3870c40c2b40dfb9f072cb7118ebad41afc Reviewed-on: https://chromium-review.googlesource.com/624701 Reviewed-by: Cheng Wang <wangcheng@google.com>
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@ -2693,16 +2693,14 @@ void ScaleSamples_NEON(const float* src, float* dst, float scale, int width) {
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}
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}
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static vec16 kGauseCoefficients[4] = {
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static vec16 kGauseCoefficients[4] = {
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{1, 4, 6, 4, 1, 0, 0, 0},
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{1, 4, 6, 4, 1, 0, 0, 0},
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{0, 1, 4, 6, 4, 1, 0, 0},
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{0, 1, 4, 6, 4, 1, 0, 0},
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{0, 0, 1, 4, 6, 4, 1, 0},
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{0, 0, 1, 4, 6, 4, 1, 0},
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{0, 0, 0, 1, 4, 6, 4, 1},
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{0, 0, 0, 1, 4, 6, 4, 1},
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};
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};
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// filter 5 rows with 1, 4, 6, 4, 1 coefficients to produce 1 row.
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// filter 5 rows with 1, 4, 6, 4, 1 coefficients to produce 1 row.
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void GaussRow_NEON(const uint16* src0,
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void GaussRow_NEON(const uint16* src0, uint16* dst, int width) {
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uint16* dst,
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int width) {
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asm volatile(
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asm volatile(
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"ld1 {v20.8h,v21.8h,v22.8h,v23.8h}, [%3] \n"
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"ld1 {v20.8h,v21.8h,v22.8h,v23.8h}, [%3] \n"
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@ -2725,17 +2723,17 @@ void GaussRow_NEON(const uint16* src0,
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"umull v4.4s, v0.4h, v23.4h \n" // forth pixel
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"umull v4.4s, v0.4h, v23.4h \n" // forth pixel
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"umlal2 v4.4s, v0.8h, v23.8h \n"
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"umlal2 v4.4s, v0.8h, v23.8h \n"
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"addv s4, v4.4s \n"
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"addv s4, v4.4s \n"
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"st4 {v1.s,v2.s,v3.s,v4.s}[0], [%1], #16 \n" // store 4 samples
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"st4 {v1.s,v2.s,v3.s,v4.s}[0], [%1], #16 \n" // store 4 samples
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"b.gt 1b \n"
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"b.gt 1b \n"
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: "+r"(src0), // %0
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: "+r"(src0), // %0
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"+r"(dst), // %1
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"+r"(dst), // %1
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"+r"(width) // %2
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"+r"(width) // %2
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: "r"(&kGauseCoefficients[0]) // %3
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: "r"(&kGauseCoefficients[0]), // %3
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"r"(8LL) // %4
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"r"(8LL) // %4
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: "cc", "memory", "v0", "v1", "v2", "v3", "v4",
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: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v20", "v21", "v22",
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"v20", "v21", "v22", "v23");
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"v23");
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}
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}
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// filter 5 rows with 1, 4, 6, 4, 1 coefficients to produce 1 row.
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// filter 5 rows with 1, 4, 6, 4, 1 coefficients to produce 1 row.
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@ -1009,11 +1009,9 @@ void ScaleRowDown2Box_16_NEON(const uint16* src_ptr,
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"subs %w3, %w3, #8 \n" // 8 processed per loop
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"subs %w3, %w3, #8 \n" // 8 processed per loop
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"uaddlp v0.4s, v0.8h \n" // row 1 add adjacent
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"uaddlp v0.4s, v0.8h \n" // row 1 add adjacent
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"uaddlp v1.4s, v1.8h \n"
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"uaddlp v1.4s, v1.8h \n"
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"uadalp v0.4s, v2.8h \n" // row 2 add adjacent +
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"uadalp v0.4s, v2.8h \n" // +row 2 add adjacent
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// row1
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"uadalp v1.4s, v3.8h \n"
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"uadalp v1.4s, v3.8h \n"
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"rshrn v0.4h, v0.4s, #2 \n" // downshift, round and
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"rshrn v0.4h, v0.4s, #2 \n" // round and pack
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// pack
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"rshrn2 v0.8h, v1.4s, #2 \n"
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"rshrn2 v0.8h, v1.4s, #2 \n"
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"st1 {v0.8h}, [%2], #16 \n"
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"st1 {v0.8h}, [%2], #16 \n"
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"b.gt 1b \n"
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"b.gt 1b \n"
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@ -2725,4 +2725,97 @@ TEST_F(LibYUVPlanarTest, TestScaleSamples_Opt) {
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EXPECT_EQ(0, diff);
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EXPECT_EQ(0, diff);
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}
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}
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#if !defined(LIBYUV_DISABLE_NEON) && defined(__aarch64__)
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extern "C" void GaussRow_NEON(const uint16* src0, uint32* dst, int width);
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TEST_F(LibYUVPlanarTest, TestGaussRow_Opt) {
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SIMD_ALIGNED(uint16 orig_pixels[1280 + 4]);
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SIMD_ALIGNED(uint32 dst_pixels_c[1280]);
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SIMD_ALIGNED(uint32 dst_pixels_opt[1280]);
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memset(orig_pixels, 0, sizeof(orig_pixels));
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memset(dst_pixels_c, 1, sizeof(dst_pixels_c));
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memset(dst_pixels_opt, 2, sizeof(dst_pixels_opt));
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for (int i = 0; i < 1280 + 4; ++i) {
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orig_pixels[i] = i;
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}
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GaussRow_NEON(&orig_pixels[0], &dst_pixels_c[0], 1280);
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for (int i = 0; i < benchmark_pixels_div1280_; ++i) {
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#if !defined(LIBYUV_DISABLE_NEON) && defined(__aarch64__)
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int has_neon = TestCpuFlag(kCpuHasNEON);
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if (has_neon) {
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GaussRow_NEON(&orig_pixels[0], &dst_pixels_opt[0], 1280);
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} else {
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GaussRow_NEON(&orig_pixels[0], &dst_pixels_opt[0], 1280);
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}
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#else
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GaussRow_NEON(&orig_pixels[0], &dst_pixels_opt[0], 1280);
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#endif
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}
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for (int i = 0; i < 1280; ++i) {
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EXPECT_EQ(dst_pixels_c[i], dst_pixels_opt[i]);
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}
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EXPECT_EQ(dst_pixels_c[0], 0 * 1 + 1 * 4 + 2 * 6 + 3 * 4 + 4 * 1);
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EXPECT_EQ(dst_pixels_c[1279],
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1279 * 1 + 1280 * 4 + 1281 * 6 + 1282 * 4 + 1283 * 1);
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}
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extern "C" void GaussCol_NEON(const uint32* src0,
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const uint32* src1,
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const uint32* src2,
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const uint32* src3,
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const uint32* src4,
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uint16* dst,
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int width);
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TEST_F(LibYUVPlanarTest, TestGaussCol_Opt) {
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SIMD_ALIGNED(uint32 orig_pixels[1280 * 5]);
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SIMD_ALIGNED(uint16 dst_pixels_c[1280]);
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SIMD_ALIGNED(uint16 dst_pixels_opt[1280]);
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memset(orig_pixels, 0, sizeof(orig_pixels));
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memset(dst_pixels_c, 1, sizeof(dst_pixels_c));
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memset(dst_pixels_opt, 2, sizeof(dst_pixels_opt));
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for (int i = 0; i < 1280 * 5; ++i) {
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orig_pixels[i] = i;
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}
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GaussCol_NEON(&orig_pixels[0], &orig_pixels[1280], &orig_pixels[1280 * 2],
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&orig_pixels[1280 * 3], &orig_pixels[1280 * 4],
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&dst_pixels_c[0], 1280);
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for (int i = 0; i < benchmark_pixels_div1280_; ++i) {
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#if !defined(LIBYUV_DISABLE_NEON) && defined(__aarch64__)
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int has_neon = TestCpuFlag(kCpuHasNEON);
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if (has_neon) {
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GaussCol_NEON(&orig_pixels[0], &orig_pixels[1280], &orig_pixels[1280 * 2],
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&orig_pixels[1280 * 3], &orig_pixels[1280 * 4],
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&dst_pixels_opt[0], 1280);
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} else {
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GaussCol_NEON(&orig_pixels[0], &orig_pixels[1280], &orig_pixels[1280 * 2],
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&orig_pixels[1280 * 3], &orig_pixels[1280 * 4],
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&dst_pixels_opt[0], 1280);
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}
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#else
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GaussCol_NEON(&orig_pixels[0], &orig_pixels[1280], &orig_pixels[1280 * 2],
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&orig_pixels[1280 * 3], &orig_pixels[1280 * 4],
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&dst_pixels_opt[0], 1280);
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#endif
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}
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for (int i = 0; i < 1280; ++i) {
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EXPECT_EQ(dst_pixels_c[i], dst_pixels_opt[i]);
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}
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EXPECT_EQ(dst_pixels_c[0], (0 * 1 + 1280 * 4 + 1280 * 2 * 6 + 1280 * 3 * 4 +
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1280 * 4 * 1 + 128) /
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256);
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EXPECT_EQ(dst_pixels_c[1279], 239);
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}
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#endif // aarch64
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} // namespace libyuv
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} // namespace libyuv
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