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SSE2 version of GradientUnfilter
somewhat 1-2% faster decoder for lossy+alpha Change-Id: Ib317e26e9fcb8d37af02668ffbfccc4664e659fe
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@ -36,6 +36,7 @@ static void PredictLineTop(const uint8_t* src, const uint8_t* pred,
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uint8_t* dst, int length, int inverse) {
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int i;
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const int max_pos = length & ~31;
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assert(length >= 0);
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if (inverse) {
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for (i = 0; i < max_pos; i += 32) {
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const __m128i A0 = _mm_loadu_si128((const __m128i*)&src[i + 0]);
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@ -67,10 +68,10 @@ static void PredictLineTop(const uint8_t* src, const uint8_t* pred,
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static void PredictLineLeft(const uint8_t* src, uint8_t* dst, int length,
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int inverse) {
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int i;
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if (length <= 0) return;
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if (inverse) {
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const int max_pos = length & ~7;
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__m128i last =
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_mm_set_epi8(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, dst[-1]);
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__m128i last = _mm_set_epi32(0, 0, 0, dst[-1]);
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for (i = 0; i < max_pos; i += 8) {
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const __m128i A0 = _mm_loadl_epi64((const __m128i*)(src + i));
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const __m128i A1 = _mm_add_epi8(A0, last);
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@ -218,45 +219,74 @@ static void GradientPredictDirect(const uint8_t* const row,
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}
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}
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static void GradientPredictInverse(const uint8_t* const in,
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const uint8_t* const top,
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uint8_t* const row, int length) {
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if (length > 0) {
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int i;
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const int max_pos = length & ~7;
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const __m128i zero = _mm_setzero_si128();
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__m128i A = _mm_set_epi32(0, 0, 0, row[-1]); // left sample
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for (i = 0; i < max_pos; i += 8) {
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const __m128i tmp0 = _mm_loadl_epi64((const __m128i*)&top[i]);
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const __m128i tmp1 = _mm_loadl_epi64((const __m128i*)&top[i - 1]);
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const __m128i B = _mm_unpacklo_epi8(tmp0, zero);
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const __m128i C = _mm_unpacklo_epi8(tmp1, zero);
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const __m128i tmp2 = _mm_loadl_epi64((const __m128i*)&in[i]);
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const __m128i D = _mm_unpacklo_epi8(tmp2, zero); // base input
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const __m128i E = _mm_sub_epi16(B, C); // unclipped gradient basis B - C
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__m128i out = zero; // accumulator for output
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__m128i mask_hi = _mm_set_epi32(0, 0, 0, 0xff);
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int k = 8;
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while (1) {
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const __m128i tmp3 = _mm_add_epi16(A, E); // delta = A + B - C
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const __m128i tmp4 = _mm_min_epi16(tmp3, mask_hi);
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const __m128i tmp5 = _mm_max_epi16(tmp4, zero); // clipped delta
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const __m128i tmp6 = _mm_add_epi16(tmp5, D); // add to in[] values
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A = _mm_and_si128(tmp6, mask_hi); // 1-complement clip
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out = _mm_or_si128(out, A); // accumulate output
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if (--k == 0) break;
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A = _mm_slli_si128(A, 2); // rotate left sample
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mask_hi = _mm_slli_si128(mask_hi, 2); // rotate mask
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}
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A = _mm_srli_si128(A, 14); // prepare left sample for next iteration
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_mm_storel_epi64((__m128i*)&row[i], _mm_packus_epi16(out, zero));
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}
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for (; i < length; ++i) {
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row[i] = in[i] + GradientPredictorC(row[i - 1], top[i], top[i - 1]);
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}
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}
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}
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static WEBP_INLINE void DoGradientFilter(const uint8_t* in,
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int width, int height, int stride,
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int row, int num_rows,
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int inverse, uint8_t* out) {
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const uint8_t* preds;
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const size_t start_offset = row * stride;
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const int last_row = row + num_rows;
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SANITY_CHECK(in, out);
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in += start_offset;
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out += start_offset;
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preds = inverse ? out : in;
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// left prediction for top scan-line
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if (row == 0) {
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out[0] = in[0];
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PredictLineLeft(in + 1, out + 1, width - 1, inverse);
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row = 1;
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preds += stride;
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in += stride;
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out += stride;
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}
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// Filter line-by-line.
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while (row < last_row) {
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int w;
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// leftmost pixel: predict from above.
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PredictLineC(in, preds - stride, out, 1, inverse);
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if (inverse) {
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for (w = 1; w < width; ++w) {
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const int pred = GradientPredictorC(out[w - 1],
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out[w - stride],
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out[w - stride - 1]);
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out[w] = in[w] + pred;
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}
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PredictLineC(in, out - stride, out, 1, inverse); // predict from above
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GradientPredictInverse(in + 1, out + 1 - stride, out + 1, width - 1);
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} else {
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PredictLineC(in, in - stride, out, 1, inverse);
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GradientPredictDirect(in + 1, in + 1 - stride, out + 1, width - 1);
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}
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++row;
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preds += stride;
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in += stride;
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out += stride;
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}
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