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-rw-r--r--third_party/aom/av1/common/arm/highbd_convolve_horiz_rs_neon.c273
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diff --git a/third_party/aom/av1/common/arm/highbd_convolve_horiz_rs_neon.c b/third_party/aom/av1/common/arm/highbd_convolve_horiz_rs_neon.c
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+++ b/third_party/aom/av1/common/arm/highbd_convolve_horiz_rs_neon.c
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+/*
+ * Copyright (c) 2023, 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 <arm_neon.h>
+
+#include "config/aom_config.h"
+#include "config/av1_rtcd.h"
+
+#include "aom_dsp/aom_dsp_common.h"
+#include "aom_dsp/arm/mem_neon.h"
+#include "aom_dsp/arm/transpose_neon.h"
+#include "aom_ports/mem.h"
+#include "av1/common/convolve.h"
+#include "av1/common/filter.h"
+#include "av1/common/arm/highbd_convolve_neon.h"
+
+#define UPSCALE_NORMATIVE_TAPS 8
+
+void av1_highbd_convolve_horiz_rs_neon(const uint16_t *src, int src_stride,
+ uint16_t *dst, int dst_stride, int w,
+ int h, const int16_t *x_filters,
+ int x0_qn, int x_step_qn, int bd) {
+ const int horiz_offset = UPSCALE_NORMATIVE_TAPS / 2 - 1;
+
+ static const int32_t kIdx[4] = { 0, 1, 2, 3 };
+ const int32x4_t idx = vld1q_s32(kIdx);
+ const int32x4_t subpel_mask = vdupq_n_s32(RS_SCALE_SUBPEL_MASK);
+ const int32x4_t shift_s32 = vdupq_n_s32(-FILTER_BITS);
+ const int32x4_t offset_s32 = vdupq_n_s32(0);
+ const uint16x4_t max = vdup_n_u16((1 << bd) - 1);
+
+ const uint16_t *src_ptr = src - horiz_offset;
+ uint16_t *dst_ptr = dst;
+
+ if (w <= 4) {
+ int height = h;
+ uint16_t *d = dst_ptr;
+
+ do {
+ int x_qn = x0_qn;
+
+ // Load 4 src vectors at a time, they might be the same, but we have to
+ // calculate the indices anyway. Doing it in SIMD and then storing the
+ // indices is faster than having to calculate the expression
+ // &src_ptr[((x_qn + 0*x_step_qn) >> RS_SCALE_SUBPEL_BITS)] 4 times
+ // Ideally this should be a gather using the indices, but NEON does not
+ // have that, so have to emulate
+ const int32x4_t xqn_idx = vmlaq_n_s32(vdupq_n_s32(x_qn), idx, x_step_qn);
+ // We have to multiply x2 to get the actual pointer as sizeof(uint16_t) =
+ // 2
+ const int32x4_t src_idx =
+ vshlq_n_s32(vshrq_n_s32(xqn_idx, RS_SCALE_SUBPEL_BITS), 1);
+ // Similarly for the filter vector indices, we calculate the filter
+ // indices for 4 columns. First we calculate the indices:
+ // x_qn & RS_SCALE_SUBPEL_MASK) >> RS_SCALE_EXTRA_BITS
+ // Then we calculate the actual pointers, multiplying with
+ // UPSCALE_UPSCALE_NORMATIVE_TAPS
+ // again shift left by 1
+ const int32x4_t x_filter4_idx = vshlq_n_s32(
+ vshrq_n_s32(vandq_s32(xqn_idx, subpel_mask), RS_SCALE_EXTRA_BITS), 1);
+ // Even though pointers are unsigned 32/64-bit ints we do signed
+ // addition The reason for this is that x_qn can be negative, leading to
+ // negative offsets. Argon test
+ // profile0_core/streams/test10573_11003.obu was failing because of
+ // this.
+#if AOM_ARCH_AARCH64
+ uint64x2_t tmp4[2];
+ tmp4[0] = vreinterpretq_u64_s64(vaddw_s32(
+ vdupq_n_s64((const int64_t)src_ptr), vget_low_s32(src_idx)));
+ tmp4[1] = vreinterpretq_u64_s64(vaddw_s32(
+ vdupq_n_s64((const int64_t)src_ptr), vget_high_s32(src_idx)));
+ int16_t *src4_ptr[4];
+ uint64_t *tmp_ptr = (uint64_t *)&src4_ptr;
+ vst1q_u64(tmp_ptr, tmp4[0]);
+ vst1q_u64(tmp_ptr + 2, tmp4[1]);
+
+ // filter vectors
+ tmp4[0] = vreinterpretq_u64_s64(vmlal_s32(
+ vdupq_n_s64((const int64_t)x_filters), vget_low_s32(x_filter4_idx),
+ vdup_n_s32(UPSCALE_NORMATIVE_TAPS)));
+ tmp4[1] = vreinterpretq_u64_s64(vmlal_s32(
+ vdupq_n_s64((const int64_t)x_filters), vget_high_s32(x_filter4_idx),
+ vdup_n_s32(UPSCALE_NORMATIVE_TAPS)));
+
+ const int16_t *x_filter4_ptr[4];
+ tmp_ptr = (uint64_t *)&x_filter4_ptr;
+ vst1q_u64(tmp_ptr, tmp4[0]);
+ vst1q_u64(tmp_ptr + 2, tmp4[1]);
+#else
+ uint32x4_t tmp4;
+ tmp4 = vreinterpretq_u32_s32(
+ vaddq_s32(vdupq_n_s32((const int32_t)src_ptr), src_idx));
+ int16_t *src4_ptr[4];
+ uint32_t *tmp_ptr = (uint32_t *)&src4_ptr;
+ vst1q_u32(tmp_ptr, tmp4);
+
+ // filter vectors
+ tmp4 = vreinterpretq_u32_s32(
+ vmlaq_s32(vdupq_n_s32((const int32_t)x_filters), x_filter4_idx,
+ vdupq_n_s32(UPSCALE_NORMATIVE_TAPS)));
+
+ const int16_t *x_filter4_ptr[4];
+ tmp_ptr = (uint32_t *)&x_filter4_ptr;
+ vst1q_u32(tmp_ptr, tmp4);
+#endif // AOM_ARCH_AARCH64
+ // Load source
+ int16x8_t s0 = vld1q_s16(src4_ptr[0]);
+ int16x8_t s1 = vld1q_s16(src4_ptr[1]);
+ int16x8_t s2 = vld1q_s16(src4_ptr[2]);
+ int16x8_t s3 = vld1q_s16(src4_ptr[3]);
+
+ // Actually load the filters
+ const int16x8_t x_filter0 = vld1q_s16(x_filter4_ptr[0]);
+ const int16x8_t x_filter1 = vld1q_s16(x_filter4_ptr[1]);
+ const int16x8_t x_filter2 = vld1q_s16(x_filter4_ptr[2]);
+ const int16x8_t x_filter3 = vld1q_s16(x_filter4_ptr[3]);
+
+ // Group low and high parts and transpose
+ int16x4_t filters_lo[] = { vget_low_s16(x_filter0),
+ vget_low_s16(x_filter1),
+ vget_low_s16(x_filter2),
+ vget_low_s16(x_filter3) };
+ int16x4_t filters_hi[] = { vget_high_s16(x_filter0),
+ vget_high_s16(x_filter1),
+ vget_high_s16(x_filter2),
+ vget_high_s16(x_filter3) };
+ transpose_array_inplace_u16_4x4((uint16x4_t *)filters_lo);
+ transpose_array_inplace_u16_4x4((uint16x4_t *)filters_hi);
+
+ // Run the 2D Scale convolution
+ uint16x4_t d0 = highbd_convolve8_2d_scale_horiz4x8_s32_s16(
+ s0, s1, s2, s3, filters_lo, filters_hi, shift_s32, offset_s32);
+
+ d0 = vmin_u16(d0, max);
+
+ if (w == 2) {
+ store_u16_2x1(d, d0);
+ } else {
+ vst1_u16(d, d0);
+ }
+
+ src_ptr += src_stride;
+ d += dst_stride;
+ height--;
+ } while (height > 0);
+ } else {
+ int height = h;
+
+ do {
+ int width = w;
+ int x_qn = x0_qn;
+ uint16_t *d = dst_ptr;
+ const uint16_t *s = src_ptr;
+
+ do {
+ // Load 4 src vectors at a time, they might be the same, but we have to
+ // calculate the indices anyway. Doing it in SIMD and then storing the
+ // indices is faster than having to calculate the expression
+ // &src_ptr[((x_qn + 0*x_step_qn) >> RS_SCALE_SUBPEL_BITS)] 4 times
+ // Ideally this should be a gather using the indices, but NEON does not
+ // have that, so have to emulate
+ const int32x4_t xqn_idx =
+ vmlaq_n_s32(vdupq_n_s32(x_qn), idx, x_step_qn);
+ // We have to multiply x2 to get the actual pointer as sizeof(uint16_t)
+ // = 2
+ const int32x4_t src_idx =
+ vshlq_n_s32(vshrq_n_s32(xqn_idx, RS_SCALE_SUBPEL_BITS), 1);
+
+ // Similarly for the filter vector indices, we calculate the filter
+ // indices for 4 columns. First we calculate the indices:
+ // x_qn & RS_SCALE_SUBPEL_MASK) >> RS_SCALE_EXTRA_BITS
+ // Then we calculate the actual pointers, multiplying with
+ // UPSCALE_UPSCALE_NORMATIVE_TAPS
+ // again shift left by 1
+ const int32x4_t x_filter4_idx = vshlq_n_s32(
+ vshrq_n_s32(vandq_s32(xqn_idx, subpel_mask), RS_SCALE_EXTRA_BITS),
+ 1);
+ // Even though pointers are unsigned 32/64-bit ints we do signed
+ // addition The reason for this is that x_qn can be negative, leading to
+ // negative offsets. Argon test
+ // profile0_core/streams/test10573_11003.obu was failing because of
+ // this.
+#if AOM_ARCH_AARCH64
+ uint64x2_t tmp4[2];
+ tmp4[0] = vreinterpretq_u64_s64(
+ vaddw_s32(vdupq_n_s64((const int64_t)s), vget_low_s32(src_idx)));
+ tmp4[1] = vreinterpretq_u64_s64(
+ vaddw_s32(vdupq_n_s64((const int64_t)s), vget_high_s32(src_idx)));
+ int16_t *src4_ptr[4];
+ uint64_t *tmp_ptr = (uint64_t *)&src4_ptr;
+ vst1q_u64(tmp_ptr, tmp4[0]);
+ vst1q_u64(tmp_ptr + 2, tmp4[1]);
+
+ // filter vectors
+ tmp4[0] = vreinterpretq_u64_s64(vmlal_s32(
+ vdupq_n_s64((const int64_t)x_filters), vget_low_s32(x_filter4_idx),
+ vdup_n_s32(UPSCALE_NORMATIVE_TAPS)));
+ tmp4[1] = vreinterpretq_u64_s64(vmlal_s32(
+ vdupq_n_s64((const int64_t)x_filters), vget_high_s32(x_filter4_idx),
+ vdup_n_s32(UPSCALE_NORMATIVE_TAPS)));
+
+ const int16_t *x_filter4_ptr[4];
+ tmp_ptr = (uint64_t *)&x_filter4_ptr;
+ vst1q_u64(tmp_ptr, tmp4[0]);
+ vst1q_u64(tmp_ptr + 2, tmp4[1]);
+#else
+ uint32x4_t tmp4;
+ tmp4 = vreinterpretq_u32_s32(
+ vaddq_s32(vdupq_n_s32((const int32_t)s), src_idx));
+ int16_t *src4_ptr[4];
+ uint32_t *tmp_ptr = (uint32_t *)&src4_ptr;
+ vst1q_u32(tmp_ptr, tmp4);
+
+ // filter vectors
+ tmp4 = vreinterpretq_u32_s32(
+ vmlaq_s32(vdupq_n_s32((const int32_t)x_filters), x_filter4_idx,
+ vdupq_n_s32(UPSCALE_NORMATIVE_TAPS)));
+
+ const int16_t *x_filter4_ptr[4];
+ tmp_ptr = (uint32_t *)&x_filter4_ptr;
+ vst1q_u32(tmp_ptr, tmp4);
+#endif // AOM_ARCH_AARCH64
+
+ // Load source
+ int16x8_t s0 = vld1q_s16(src4_ptr[0]);
+ int16x8_t s1 = vld1q_s16(src4_ptr[1]);
+ int16x8_t s2 = vld1q_s16(src4_ptr[2]);
+ int16x8_t s3 = vld1q_s16(src4_ptr[3]);
+
+ // Actually load the filters
+ const int16x8_t x_filter0 = vld1q_s16(x_filter4_ptr[0]);
+ const int16x8_t x_filter1 = vld1q_s16(x_filter4_ptr[1]);
+ const int16x8_t x_filter2 = vld1q_s16(x_filter4_ptr[2]);
+ const int16x8_t x_filter3 = vld1q_s16(x_filter4_ptr[3]);
+
+ // Group low and high parts and transpose
+ int16x4_t filters_lo[] = { vget_low_s16(x_filter0),
+ vget_low_s16(x_filter1),
+ vget_low_s16(x_filter2),
+ vget_low_s16(x_filter3) };
+ int16x4_t filters_hi[] = { vget_high_s16(x_filter0),
+ vget_high_s16(x_filter1),
+ vget_high_s16(x_filter2),
+ vget_high_s16(x_filter3) };
+ transpose_array_inplace_u16_4x4((uint16x4_t *)filters_lo);
+ transpose_array_inplace_u16_4x4((uint16x4_t *)filters_hi);
+
+ // Run the 2D Scale X convolution
+ uint16x4_t d0 = highbd_convolve8_2d_scale_horiz4x8_s32_s16(
+ s0, s1, s2, s3, filters_lo, filters_hi, shift_s32, offset_s32);
+
+ d0 = vmin_u16(d0, max);
+ vst1_u16(d, d0);
+
+ x_qn += 4 * x_step_qn;
+ d += 4;
+ width -= 4;
+ } while (width > 0);
+
+ src_ptr += src_stride;
+ dst_ptr += dst_stride;
+ height--;
+ } while (height > 0);
+ }
+}
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