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-rw-r--r--third_party/aom/av1/encoder/arm/neon/av1_k_means_neon.c115
1 files changed, 115 insertions, 0 deletions
diff --git a/third_party/aom/av1/encoder/arm/neon/av1_k_means_neon.c b/third_party/aom/av1/encoder/arm/neon/av1_k_means_neon.c
new file mode 100644
index 0000000000..d13cc65ae0
--- /dev/null
+++ b/third_party/aom/av1/encoder/arm/neon/av1_k_means_neon.c
@@ -0,0 +1,115 @@
+/*
+ * Copyright (c) 2023, Alliance for Open Media. All Rights Reserved.
+ *
+ * Use of this source code is governed by a BSD-style license
+ * that can be found in the LICENSE file in the root of the source
+ * tree. An additional intellectual property rights grant can be found
+ * in the file PATENTS. All contributing project authors may
+ * be found in the AUTHORS file in the root of the source tree.
+ */
+
+#include <arm_neon.h>
+
+#include "aom_dsp/arm/sum_neon.h"
+#include "config/aom_config.h"
+#include "config/aom_dsp_rtcd.h"
+
+static int32x4_t k_means_multiply_add_neon(const int16x8_t a) {
+ const int32x4_t l = vmull_s16(vget_low_s16(a), vget_low_s16(a));
+ const int32x4_t h = vmull_s16(vget_high_s16(a), vget_high_s16(a));
+#if AOM_ARCH_AARCH64
+ return vpaddq_s32(l, h);
+#else
+ const int32x2_t dl = vpadd_s32(vget_low_s32(l), vget_high_s32(l));
+ const int32x2_t dh = vpadd_s32(vget_low_s32(h), vget_high_s32(h));
+ return vcombine_s32(dl, dh);
+#endif
+}
+
+void av1_calc_indices_dim1_neon(const int16_t *data, const int16_t *centroids,
+ uint8_t *indices, int64_t *total_dist, int n,
+ int k) {
+ int64x2_t sum = vdupq_n_s64(0);
+ int16x8_t cents[PALETTE_MAX_SIZE];
+ for (int j = 0; j < k; ++j) {
+ cents[j] = vdupq_n_s16(centroids[j]);
+ }
+
+ for (int i = 0; i < n; i += 8) {
+ const int16x8_t in = vld1q_s16(data);
+ uint16x8_t ind = vdupq_n_u16(0);
+ // Compute the distance to the first centroid.
+ int16x8_t dist_min = vabdq_s16(in, cents[0]);
+
+ for (int j = 1; j < k; ++j) {
+ // Compute the distance to the centroid.
+ const int16x8_t dist = vabdq_s16(in, cents[j]);
+ // Compare to the minimal one.
+ const uint16x8_t cmp = vcgtq_s16(dist_min, dist);
+ dist_min = vminq_s16(dist_min, dist);
+ const uint16x8_t ind1 = vdupq_n_u16(j);
+ ind = vbslq_u16(cmp, ind1, ind);
+ }
+ if (total_dist) {
+ // Square, convert to 32 bit and add together.
+ const int32x4_t l =
+ vmull_s16(vget_low_s16(dist_min), vget_low_s16(dist_min));
+ const int32x4_t sum32_tmp =
+ vmlal_s16(l, vget_high_s16(dist_min), vget_high_s16(dist_min));
+ // Pairwise sum, convert to 64 bit and add to sum.
+ sum = vpadalq_s32(sum, sum32_tmp);
+ }
+ vst1_u8(indices, vmovn_u16(ind));
+ indices += 8;
+ data += 8;
+ }
+ if (total_dist) {
+ *total_dist = horizontal_add_s64x2(sum);
+ }
+}
+
+void av1_calc_indices_dim2_neon(const int16_t *data, const int16_t *centroids,
+ uint8_t *indices, int64_t *total_dist, int n,
+ int k) {
+ int64x2_t sum = vdupq_n_s64(0);
+ uint32x4_t ind[2];
+ int16x8_t cents[PALETTE_MAX_SIZE];
+ for (int j = 0; j < k; ++j) {
+ const int16_t cx = centroids[2 * j], cy = centroids[2 * j + 1];
+ const int16_t cxcy[8] = { cx, cy, cx, cy, cx, cy, cx, cy };
+ cents[j] = vld1q_s16(cxcy);
+ }
+
+ for (int i = 0; i < n; i += 8) {
+ for (int l = 0; l < 2; ++l) {
+ const int16x8_t in = vld1q_s16(data);
+ ind[l] = vdupq_n_u32(0);
+ // Compute the distance to the first centroid.
+ int16x8_t d1 = vsubq_s16(in, cents[0]);
+ int32x4_t dist_min = k_means_multiply_add_neon(d1);
+
+ for (int j = 1; j < k; ++j) {
+ // Compute the distance to the centroid.
+ d1 = vsubq_s16(in, cents[j]);
+ const int32x4_t dist = k_means_multiply_add_neon(d1);
+ // Compare to the minimal one.
+ const uint32x4_t cmp = vcgtq_s32(dist_min, dist);
+ dist_min = vminq_s32(dist_min, dist);
+ const uint32x4_t ind1 = vdupq_n_u32(j);
+ ind[l] = vbslq_u32(cmp, ind1, ind[l]);
+ }
+ if (total_dist) {
+ // Pairwise sum, convert to 64 bit and add to sum.
+ sum = vpadalq_s32(sum, dist_min);
+ }
+ data += 8;
+ }
+ // Cast to 8 bit and store.
+ vst1_u8(indices,
+ vmovn_u16(vcombine_u16(vmovn_u32(ind[0]), vmovn_u32(ind[1]))));
+ indices += 8;
+ }
+ if (total_dist) {
+ *total_dist = horizontal_add_s64x2(sum);
+ }
+}