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Diffstat (limited to '')
-rw-r--r-- | third_party/aom/av1/encoder/x86/av1_k_means_avx2.c | 132 |
1 files changed, 132 insertions, 0 deletions
diff --git a/third_party/aom/av1/encoder/x86/av1_k_means_avx2.c b/third_party/aom/av1/encoder/x86/av1_k_means_avx2.c new file mode 100644 index 0000000000..52ddc66437 --- /dev/null +++ b/third_party/aom/av1/encoder/x86/av1_k_means_avx2.c @@ -0,0 +1,132 @@ +/* + * Copyright (c) 2020, Alliance for Open Media. All rights reserved + * + * This source code is subject to the terms of the BSD 2 Clause License and + * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License + * was not distributed with this source code in the LICENSE file, you can + * obtain it at www.aomedia.org/license/software. If the Alliance for Open + * Media Patent License 1.0 was not distributed with this source code in the + * PATENTS file, you can obtain it at www.aomedia.org/license/patent. + */ +#include <immintrin.h> // AVX2 + +#include "config/av1_rtcd.h" +#include "aom_dsp/x86/synonyms.h" + +static int64_t k_means_horizontal_sum_avx2(__m256i a) { + const __m128i low = _mm256_castsi256_si128(a); + const __m128i high = _mm256_extracti128_si256(a, 1); + const __m128i sum = _mm_add_epi64(low, high); + const __m128i sum_high = _mm_unpackhi_epi64(sum, sum); + int64_t res; + _mm_storel_epi64((__m128i *)&res, _mm_add_epi64(sum, sum_high)); + return res; +} + +void av1_calc_indices_dim1_avx2(const int16_t *data, const int16_t *centroids, + uint8_t *indices, int64_t *total_dist, int n, + int k) { + const __m256i v_zero = _mm256_setzero_si256(); + __m256i sum = _mm256_setzero_si256(); + __m256i cents[PALETTE_MAX_SIZE]; + for (int j = 0; j < k; ++j) { + cents[j] = _mm256_set1_epi16(centroids[j]); + } + + for (int i = 0; i < n; i += 16) { + const __m256i in = _mm256_loadu_si256((__m256i *)data); + __m256i ind = _mm256_setzero_si256(); + // Compute the distance to the first centroid. + __m256i d1 = _mm256_sub_epi16(in, cents[0]); + __m256i dist_min = _mm256_abs_epi16(d1); + + for (int j = 1; j < k; ++j) { + // Compute the distance to the centroid. + d1 = _mm256_sub_epi16(in, cents[j]); + const __m256i dist = _mm256_abs_epi16(d1); + // Compare to the minimal one. + const __m256i cmp = _mm256_cmpgt_epi16(dist_min, dist); + dist_min = _mm256_min_epi16(dist_min, dist); + const __m256i ind1 = _mm256_set1_epi16(j); + ind = _mm256_or_si256(_mm256_andnot_si256(cmp, ind), + _mm256_and_si256(cmp, ind1)); + } + + const __m256i p1 = _mm256_packus_epi16(ind, v_zero); + const __m256i px = _mm256_permute4x64_epi64(p1, 0x58); + const __m128i d2 = _mm256_extracti128_si256(px, 0); + + _mm_storeu_si128((__m128i *)indices, d2); + + if (total_dist) { + // Square, convert to 32 bit and add together. + dist_min = _mm256_madd_epi16(dist_min, dist_min); + // Convert to 64 bit and add to sum. + const __m256i dist1 = _mm256_unpacklo_epi32(dist_min, v_zero); + const __m256i dist2 = _mm256_unpackhi_epi32(dist_min, v_zero); + sum = _mm256_add_epi64(sum, dist1); + sum = _mm256_add_epi64(sum, dist2); + } + + indices += 16; + data += 16; + } + if (total_dist) { + *total_dist = k_means_horizontal_sum_avx2(sum); + } +} + +void av1_calc_indices_dim2_avx2(const int16_t *data, const int16_t *centroids, + uint8_t *indices, int64_t *total_dist, int n, + int k) { + const __m256i v_zero = _mm256_setzero_si256(); + const __m256i permute = _mm256_set_epi32(0, 0, 0, 0, 5, 1, 4, 0); + __m256i sum = _mm256_setzero_si256(); + __m256i ind[2]; + __m256i cents[PALETTE_MAX_SIZE]; + for (int j = 0; j < k; ++j) { + const int16_t cx = centroids[2 * j], cy = centroids[2 * j + 1]; + cents[j] = _mm256_set_epi16(cy, cx, cy, cx, cy, cx, cy, cx, cy, cx, cy, cx, + cy, cx, cy, cx); + } + + for (int i = 0; i < n; i += 16) { + for (int l = 0; l < 2; ++l) { + const __m256i in = _mm256_loadu_si256((__m256i *)data); + ind[l] = _mm256_setzero_si256(); + // Compute the distance to the first centroid. + __m256i d1 = _mm256_sub_epi16(in, cents[0]); + __m256i dist_min = _mm256_madd_epi16(d1, d1); + + for (int j = 1; j < k; ++j) { + // Compute the distance to the centroid. + d1 = _mm256_sub_epi16(in, cents[j]); + const __m256i dist = _mm256_madd_epi16(d1, d1); + // Compare to the minimal one. + const __m256i cmp = _mm256_cmpgt_epi32(dist_min, dist); + dist_min = _mm256_min_epi32(dist_min, dist); + const __m256i ind1 = _mm256_set1_epi32(j); + ind[l] = _mm256_or_si256(_mm256_andnot_si256(cmp, ind[l]), + _mm256_and_si256(cmp, ind1)); + } + if (total_dist) { + // Convert to 64 bit and add to sum. + const __m256i dist1 = _mm256_unpacklo_epi32(dist_min, v_zero); + const __m256i dist2 = _mm256_unpackhi_epi32(dist_min, v_zero); + sum = _mm256_add_epi64(sum, dist1); + sum = _mm256_add_epi64(sum, dist2); + } + data += 16; + } + // Cast to 8 bit and store. + const __m256i d2 = _mm256_packus_epi32(ind[0], ind[1]); + const __m256i d3 = _mm256_packus_epi16(d2, v_zero); + const __m256i d4 = _mm256_permutevar8x32_epi32(d3, permute); + const __m128i d5 = _mm256_extracti128_si256(d4, 0); + _mm_storeu_si128((__m128i *)indices, d5); + indices += 16; + } + if (total_dist) { + *total_dist = k_means_horizontal_sum_avx2(sum); + } +} |