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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
commit | 26a029d407be480d791972afb5975cf62c9360a6 (patch) | |
tree | f435a8308119effd964b339f76abb83a57c29483 /third_party/aom/av1/common/arm/compound_convolve_neon_i8mm.c | |
parent | Initial commit. (diff) | |
download | firefox-26a029d407be480d791972afb5975cf62c9360a6.tar.xz firefox-26a029d407be480d791972afb5975cf62c9360a6.zip |
Adding upstream version 124.0.1.upstream/124.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/aom/av1/common/arm/compound_convolve_neon_i8mm.c')
-rw-r--r-- | third_party/aom/av1/common/arm/compound_convolve_neon_i8mm.c | 614 |
1 files changed, 614 insertions, 0 deletions
diff --git a/third_party/aom/av1/common/arm/compound_convolve_neon_i8mm.c b/third_party/aom/av1/common/arm/compound_convolve_neon_i8mm.c new file mode 100644 index 0000000000..a72af9e36a --- /dev/null +++ b/third_party/aom/av1/common/arm/compound_convolve_neon_i8mm.c @@ -0,0 +1,614 @@ +/* + * 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 <assert.h> + +#include "aom_dsp/arm/mem_neon.h" +#include "av1/common/arm/compound_convolve_neon.h" +#include "config/aom_config.h" +#include "config/av1_rtcd.h" + +DECLARE_ALIGNED(16, static const uint8_t, dot_prod_permute_tbl[48]) = { + 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6, + 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10, + 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 +}; + +static INLINE int16x4_t convolve4_4_2d_h(uint8x16_t samples, + const int8x8_t x_filter, + const uint8x16_t permute_tbl, + const int32x4_t horiz_const) { + // Permute samples ready for dot product. + // { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 } + uint8x16_t permuted_samples = vqtbl1q_u8(samples, permute_tbl); + + // First 4 output values. + int32x4_t sum = vusdotq_lane_s32(horiz_const, permuted_samples, x_filter, 0); + + // We halved the convolution filter values so -1 from the right shift. + return vshrn_n_s32(sum, ROUND0_BITS - 1); +} + +static INLINE int16x8_t convolve8_8_2d_h(uint8x16_t samples, + const int8x8_t x_filter, + const uint8x16x3_t permute_tbl, + const int32x4_t horiz_const) { + uint8x16_t permuted_samples[3]; + int32x4_t sum[2]; + + // Permute samples ready for dot product. + // { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 } + permuted_samples[0] = vqtbl1q_u8(samples, permute_tbl.val[0]); + // { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 } + permuted_samples[1] = vqtbl1q_u8(samples, permute_tbl.val[1]); + // { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 } + permuted_samples[2] = vqtbl1q_u8(samples, permute_tbl.val[2]); + + // First 4 output values. + sum[0] = vusdotq_lane_s32(horiz_const, permuted_samples[0], x_filter, 0); + sum[0] = vusdotq_lane_s32(sum[0], permuted_samples[1], x_filter, 1); + // Second 4 output values. + sum[1] = vusdotq_lane_s32(horiz_const, permuted_samples[1], x_filter, 0); + sum[1] = vusdotq_lane_s32(sum[1], permuted_samples[2], x_filter, 1); + + // Narrow and re-pack. + // We halved the convolution filter values so -1 from the right shift. + return vcombine_s16(vshrn_n_s32(sum[0], ROUND0_BITS - 1), + vshrn_n_s32(sum[1], ROUND0_BITS - 1)); +} + +static INLINE void dist_wtd_convolve_2d_horiz_neon_i8mm( + const uint8_t *src, int src_stride, int16_t *im_block, const int im_stride, + const int16_t *x_filter_ptr, const int im_h, int w) { + const int bd = 8; + // A shim of 1 << ((ROUND0_BITS - 1) - 1) enables us to use non-rounding + // shifts - which are generally faster than rounding shifts on modern CPUs. + // (The extra -1 is needed because we halved the filter values.) + const int32x4_t horiz_const = vdupq_n_s32((1 << (bd + FILTER_BITS - 2)) + + (1 << ((ROUND0_BITS - 1) - 1))); + + const uint8_t *src_ptr = src; + int16_t *dst_ptr = im_block; + int dst_stride = im_stride; + int height = im_h; + + if (w == 4) { + const uint8x16_t permute_tbl = vld1q_u8(dot_prod_permute_tbl); + // 4-tap filters are used for blocks having width <= 4. + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = + vshrn_n_s16(vcombine_s16(vld1_s16(x_filter_ptr + 2), vdup_n_s16(0)), 1); + + src_ptr += 2; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(src_ptr, src_stride, &s0, &s1, &s2, &s3); + + int16x4_t d0 = convolve4_4_2d_h(s0, x_filter, permute_tbl, horiz_const); + int16x4_t d1 = convolve4_4_2d_h(s1, x_filter, permute_tbl, horiz_const); + int16x4_t d2 = convolve4_4_2d_h(s2, x_filter, permute_tbl, horiz_const); + int16x4_t d3 = convolve4_4_2d_h(s3, x_filter, permute_tbl, horiz_const); + + store_s16_4x4(dst_ptr, dst_stride, d0, d1, d2, d3); + + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + height -= 4; + } while (height > 4); + + do { + uint8x16_t s0 = vld1q_u8(src_ptr); + + int16x4_t d0 = convolve4_4_2d_h(s0, x_filter, permute_tbl, horiz_const); + + vst1_s16(dst_ptr, d0); + + src_ptr += src_stride; + dst_ptr += dst_stride; + } while (--height != 0); + } else { + const uint8x16x3_t permute_tbl = vld1q_u8_x3(dot_prod_permute_tbl); + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = vshrn_n_s16(vld1q_s16(x_filter_ptr), 1); + + do { + const uint8_t *s = src_ptr; + int16_t *d = dst_ptr; + int width = w; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3); + + int16x8_t d0 = convolve8_8_2d_h(s0, x_filter, permute_tbl, horiz_const); + int16x8_t d1 = convolve8_8_2d_h(s1, x_filter, permute_tbl, horiz_const); + int16x8_t d2 = convolve8_8_2d_h(s2, x_filter, permute_tbl, horiz_const); + int16x8_t d3 = convolve8_8_2d_h(s3, x_filter, permute_tbl, horiz_const); + + store_s16_8x4(d, dst_stride, d0, d1, d2, d3); + + s += 8; + d += 8; + width -= 8; + } while (width > 0); + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + height -= 4; + } while (height > 4); + + do { + const uint8_t *s = src_ptr; + int16_t *d = dst_ptr; + int width = w; + + do { + uint8x16_t s0 = vld1q_u8(s); + + int16x8_t d0 = convolve8_8_2d_h(s0, x_filter, permute_tbl, horiz_const); + + vst1q_s16(d, d0); + + s += 8; + d += 8; + width -= 8; + } while (width > 0); + src_ptr += src_stride; + dst_ptr += dst_stride; + } while (--height != 0); + } +} + +void av1_dist_wtd_convolve_2d_neon_i8mm( + const uint8_t *src, int src_stride, uint8_t *dst8, int dst8_stride, int w, + int h, const InterpFilterParams *filter_params_x, + const InterpFilterParams *filter_params_y, const int subpel_x_qn, + const int subpel_y_qn, ConvolveParams *conv_params) { + assert(w % 4 == 0); + assert(h % 4 == 0); + + DECLARE_ALIGNED(16, int16_t, + im_block[(MAX_SB_SIZE + SUBPEL_TAPS - 1) * MAX_SB_SIZE]); + + const int y_filter_taps = get_filter_tap(filter_params_y, subpel_y_qn); + const int clamped_y_taps = y_filter_taps < 6 ? 6 : y_filter_taps; + + const int im_h = h + clamped_y_taps - 1; + const int im_stride = MAX_SB_SIZE; + const int vert_offset = clamped_y_taps / 2 - 1; + const int horiz_offset = filter_params_x->taps / 2 - 1; + const uint8_t *src_ptr = src - vert_offset * src_stride - horiz_offset; + const int16_t *x_filter_ptr = av1_get_interp_filter_subpel_kernel( + filter_params_x, subpel_x_qn & SUBPEL_MASK); + const int16_t *y_filter_ptr = av1_get_interp_filter_subpel_kernel( + filter_params_y, subpel_y_qn & SUBPEL_MASK); + + const int16x8_t y_filter = vld1q_s16(y_filter_ptr); + + dist_wtd_convolve_2d_horiz_neon_i8mm(src_ptr, src_stride, im_block, im_stride, + x_filter_ptr, im_h, w); + + if (clamped_y_taps == 6) { + if (conv_params->do_average) { + if (UNLIKELY(conv_params->use_dist_wtd_comp_avg)) { + dist_wtd_convolve_2d_vert_6tap_dist_wtd_avg_neon( + im_block, im_stride, dst8, dst8_stride, conv_params, y_filter, h, + w); + } else { + dist_wtd_convolve_2d_vert_6tap_avg_neon(im_block, im_stride, dst8, + dst8_stride, conv_params, + y_filter, h, w); + } + } else { + dist_wtd_convolve_2d_vert_6tap_neon(im_block, im_stride, conv_params, + y_filter, h, w); + } + } else { + if (conv_params->do_average) { + if (UNLIKELY(conv_params->use_dist_wtd_comp_avg)) { + dist_wtd_convolve_2d_vert_8tap_dist_wtd_avg_neon( + im_block, im_stride, dst8, dst8_stride, conv_params, y_filter, h, + w); + } else { + dist_wtd_convolve_2d_vert_8tap_avg_neon(im_block, im_stride, dst8, + dst8_stride, conv_params, + y_filter, h, w); + } + } else { + dist_wtd_convolve_2d_vert_8tap_neon(im_block, im_stride, conv_params, + y_filter, h, w); + } + } +} + +static INLINE uint16x4_t convolve4_4_x(uint8x16_t samples, + const int8x8_t x_filter, + const uint8x16_t permute_tbl, + const int32x4_t round_offset) { + // Permute samples ready for dot product. + // { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 } + uint8x16_t permuted_samples = vqtbl1q_u8(samples, permute_tbl); + + // First 4 output values. + int32x4_t sum = vusdotq_lane_s32(round_offset, permuted_samples, x_filter, 0); + + // We halved the convolution filter values so -1 from the right shift. + return vreinterpret_u16_s16(vshrn_n_s32(sum, ROUND0_BITS - 1)); +} + +static INLINE uint16x8_t convolve8_8_x(uint8x16_t samples, + const int8x8_t x_filter, + const uint8x16x3_t permute_tbl, + const int32x4_t round_offset) { + uint8x16_t permuted_samples[3]; + int32x4_t sum[2]; + + // Permute samples ready for dot product. + // { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 } + permuted_samples[0] = vqtbl1q_u8(samples, permute_tbl.val[0]); + // { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 } + permuted_samples[1] = vqtbl1q_u8(samples, permute_tbl.val[1]); + // { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 } + permuted_samples[2] = vqtbl1q_u8(samples, permute_tbl.val[2]); + + // First 4 output values. + sum[0] = vusdotq_lane_s32(round_offset, permuted_samples[0], x_filter, 0); + sum[0] = vusdotq_lane_s32(sum[0], permuted_samples[1], x_filter, 1); + // Second 4 output values. + sum[1] = vusdotq_lane_s32(round_offset, permuted_samples[1], x_filter, 0); + sum[1] = vusdotq_lane_s32(sum[1], permuted_samples[2], x_filter, 1); + + // Narrow and re-pack. + // We halved the convolution filter values so -1 from the right shift. + int16x8_t res = vcombine_s16(vshrn_n_s32(sum[0], ROUND0_BITS - 1), + vshrn_n_s32(sum[1], ROUND0_BITS - 1)); + return vreinterpretq_u16_s16(res); +} + +static INLINE void dist_wtd_convolve_x_dist_wtd_avg_neon_i8mm( + const uint8_t *src, int src_stride, uint8_t *dst8, int dst8_stride, int w, + int h, const InterpFilterParams *filter_params_x, const int subpel_x_qn, + ConvolveParams *conv_params) { + assert(w % 4 == 0); + assert(h % 4 == 0); + + const int bd = 8; + const int offset_bits = bd + 2 * FILTER_BITS - ROUND0_BITS; + const int16_t round_offset = (1 << (offset_bits - COMPOUND_ROUND1_BITS)) + + (1 << (offset_bits - COMPOUND_ROUND1_BITS - 1)); + const int16x8_t round_offset_vec = vdupq_n_s16(round_offset); + // A shim of 1 << ((ROUND0_BITS - 1) - 1) enables us to use non-rounding + // shifts - which are generally faster than rounding shifts on modern CPUs. + // (The extra -1 is needed because we halved the filter values.) + const int32x4_t round_offset_shim = vdupq_n_s32( + (round_offset << (ROUND0_BITS - 1)) + (1 << ((ROUND0_BITS - 1) - 1))); + + const uint16_t fwd_offset = conv_params->fwd_offset; + const uint16_t bck_offset = conv_params->bck_offset; + + // Horizontal filter. + const int16_t *x_filter_ptr = av1_get_interp_filter_subpel_kernel( + filter_params_x, subpel_x_qn & SUBPEL_MASK); + + const int horiz_offset = filter_params_x->taps / 2 - 1; + const uint8_t *src_ptr = src - horiz_offset; + CONV_BUF_TYPE *dst_ptr = conv_params->dst; + uint8_t *dst8_ptr = dst8; + int dst_stride = conv_params->dst_stride; + int height = h; + + if (w == 4) { + const uint8x16_t permute_tbl = vld1q_u8(dot_prod_permute_tbl); + // 4-tap filters are used for blocks having width <= 4. + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = + vshrn_n_s16(vcombine_s16(vld1_s16(x_filter_ptr + 2), vdup_n_s16(0)), 1); + + src_ptr += 2; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(src_ptr, src_stride, &s0, &s1, &s2, &s3); + + uint16x4_t d0 = + convolve4_4_x(s0, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d1 = + convolve4_4_x(s1, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d2 = + convolve4_4_x(s2, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d3 = + convolve4_4_x(s3, x_filter, permute_tbl, round_offset_shim); + + uint16x4_t dd0, dd1, dd2, dd3; + load_u16_4x4(dst_ptr, dst_stride, &dd0, &dd1, &dd2, &dd3); + + uint8x8_t d01_u8, d23_u8; + compute_dist_wtd_avg_4x4(dd0, dd1, dd2, dd3, d0, d1, d2, d3, fwd_offset, + bck_offset, round_offset_vec, &d01_u8, &d23_u8); + + store_u8x4_strided_x2(dst8_ptr + 0 * dst8_stride, dst8_stride, d01_u8); + store_u8x4_strided_x2(dst8_ptr + 2 * dst8_stride, dst8_stride, d23_u8); + + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + dst8_ptr += 4 * dst8_stride; + height -= 4; + } while (height != 0); + } else { + const uint8x16x3_t permute_tbl = vld1q_u8_x3(dot_prod_permute_tbl); + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = vshrn_n_s16(vld1q_s16(x_filter_ptr), 1); + + do { + const uint8_t *s = src_ptr; + CONV_BUF_TYPE *d = dst_ptr; + uint8_t *d_u8 = dst8_ptr; + int width = w; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3); + + uint16x8_t d0 = + convolve8_8_x(s0, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d1 = + convolve8_8_x(s1, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d2 = + convolve8_8_x(s2, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d3 = + convolve8_8_x(s3, x_filter, permute_tbl, round_offset_shim); + + uint16x8_t dd0, dd1, dd2, dd3; + load_u16_8x4(d, dst_stride, &dd0, &dd1, &dd2, &dd3); + + uint8x8_t d0_u8, d1_u8, d2_u8, d3_u8; + compute_dist_wtd_avg_8x4(dd0, dd1, dd2, dd3, d0, d1, d2, d3, fwd_offset, + bck_offset, round_offset_vec, &d0_u8, &d1_u8, + &d2_u8, &d3_u8); + + store_u8_8x4(d_u8, dst8_stride, d0_u8, d1_u8, d2_u8, d3_u8); + + s += 8; + d += 8; + d_u8 += 8; + width -= 8; + } while (width != 0); + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + dst8_ptr += 4 * dst8_stride; + height -= 4; + } while (height != 0); + } +} + +static INLINE void dist_wtd_convolve_x_avg_neon_i8mm( + const uint8_t *src, int src_stride, uint8_t *dst8, int dst8_stride, int w, + int h, const InterpFilterParams *filter_params_x, const int subpel_x_qn, + ConvolveParams *conv_params) { + assert(w % 4 == 0); + assert(h % 4 == 0); + + const int bd = 8; + const int offset_bits = bd + 2 * FILTER_BITS - ROUND0_BITS; + const int16_t round_offset = (1 << (offset_bits - COMPOUND_ROUND1_BITS)) + + (1 << (offset_bits - COMPOUND_ROUND1_BITS - 1)); + const int16x8_t round_offset_vec = vdupq_n_s16(round_offset); + // A shim of 1 << ((ROUND0_BITS - 1) - 1) enables us to use non-rounding + // shifts - which are generally faster than rounding shifts on modern CPUs. + // (The extra -1 is needed because we halved the filter values.) + const int32x4_t round_offset_shim = vdupq_n_s32( + (round_offset << (ROUND0_BITS - 1)) + (1 << ((ROUND0_BITS - 1) - 1))); + + // Horizontal filter. + const int16_t *x_filter_ptr = av1_get_interp_filter_subpel_kernel( + filter_params_x, subpel_x_qn & SUBPEL_MASK); + + const int horiz_offset = filter_params_x->taps / 2 - 1; + const uint8_t *src_ptr = src - horiz_offset; + CONV_BUF_TYPE *dst_ptr = conv_params->dst; + uint8_t *dst8_ptr = dst8; + int dst_stride = conv_params->dst_stride; + int height = h; + + if (w == 4) { + const uint8x16_t permute_tbl = vld1q_u8(dot_prod_permute_tbl); + // 4-tap filters are used for blocks having width <= 4. + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = + vshrn_n_s16(vcombine_s16(vld1_s16(x_filter_ptr + 2), vdup_n_s16(0)), 1); + + src_ptr += 2; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(src_ptr, src_stride, &s0, &s1, &s2, &s3); + + uint16x4_t d0 = + convolve4_4_x(s0, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d1 = + convolve4_4_x(s1, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d2 = + convolve4_4_x(s2, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d3 = + convolve4_4_x(s3, x_filter, permute_tbl, round_offset_shim); + + uint16x4_t dd0, dd1, dd2, dd3; + load_u16_4x4(dst_ptr, dst_stride, &dd0, &dd1, &dd2, &dd3); + + uint8x8_t d01_u8, d23_u8; + compute_basic_avg_4x4(dd0, dd1, dd2, dd3, d0, d1, d2, d3, + round_offset_vec, &d01_u8, &d23_u8); + + store_u8x4_strided_x2(dst8_ptr + 0 * dst8_stride, dst8_stride, d01_u8); + store_u8x4_strided_x2(dst8_ptr + 2 * dst8_stride, dst8_stride, d23_u8); + + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + dst8_ptr += 4 * dst8_stride; + height -= 4; + } while (height != 0); + } else { + const uint8x16x3_t permute_tbl = vld1q_u8_x3(dot_prod_permute_tbl); + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = vshrn_n_s16(vld1q_s16(x_filter_ptr), 1); + + do { + const uint8_t *s = src_ptr; + CONV_BUF_TYPE *d = dst_ptr; + uint8_t *d_u8 = dst8_ptr; + int width = w; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3); + + uint16x8_t d0 = + convolve8_8_x(s0, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d1 = + convolve8_8_x(s1, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d2 = + convolve8_8_x(s2, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d3 = + convolve8_8_x(s3, x_filter, permute_tbl, round_offset_shim); + + uint16x8_t dd0, dd1, dd2, dd3; + load_u16_8x4(d, dst_stride, &dd0, &dd1, &dd2, &dd3); + + uint8x8_t d0_u8, d1_u8, d2_u8, d3_u8; + compute_basic_avg_8x4(dd0, dd1, dd2, dd3, d0, d1, d2, d3, + round_offset_vec, &d0_u8, &d1_u8, &d2_u8, &d3_u8); + + store_u8_8x4(d_u8, dst8_stride, d0_u8, d1_u8, d2_u8, d3_u8); + + s += 8; + d += 8; + d_u8 += 8; + width -= 8; + } while (width != 0); + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + dst8_ptr += 4 * dst8_stride; + height -= 4; + } while (height != 0); + } +} + +static INLINE void dist_wtd_convolve_x_neon_i8mm( + const uint8_t *src, int src_stride, int w, int h, + const InterpFilterParams *filter_params_x, const int subpel_x_qn, + ConvolveParams *conv_params) { + assert(w % 4 == 0); + assert(h % 4 == 0); + + const int bd = 8; + const int offset_bits = bd + 2 * FILTER_BITS - ROUND0_BITS; + const int16_t round_offset = (1 << (offset_bits - COMPOUND_ROUND1_BITS)) + + (1 << (offset_bits - COMPOUND_ROUND1_BITS - 1)); + // A shim of 1 << ((ROUND0_BITS - 1) - 1) enables us to use non-rounding + // shifts - which are generally faster than rounding shifts on modern CPUs. + // (The extra -1 is needed because we halved the filter values.) + const int32x4_t round_offset_shim = vdupq_n_s32( + (round_offset << (ROUND0_BITS - 1)) + (1 << ((ROUND0_BITS - 1) - 1))); + + // Horizontal filter. + const int16_t *x_filter_ptr = av1_get_interp_filter_subpel_kernel( + filter_params_x, subpel_x_qn & SUBPEL_MASK); + + const int horiz_offset = filter_params_x->taps / 2 - 1; + const uint8_t *src_ptr = src - horiz_offset; + CONV_BUF_TYPE *dst_ptr = conv_params->dst; + int dst_stride = conv_params->dst_stride; + int height = h; + + if (w == 4) { + const uint8x16_t permute_tbl = vld1q_u8(dot_prod_permute_tbl); + // 4-tap filters are used for blocks having width <= 4. + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = + vshrn_n_s16(vcombine_s16(vld1_s16(x_filter_ptr + 2), vdup_n_s16(0)), 1); + + src_ptr += 2; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(src_ptr, src_stride, &s0, &s1, &s2, &s3); + + uint16x4_t d0 = + convolve4_4_x(s0, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d1 = + convolve4_4_x(s1, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d2 = + convolve4_4_x(s2, x_filter, permute_tbl, round_offset_shim); + uint16x4_t d3 = + convolve4_4_x(s3, x_filter, permute_tbl, round_offset_shim); + + store_u16_4x4(dst_ptr, dst_stride, d0, d1, d2, d3); + + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + height -= 4; + } while (height != 0); + } else { + const uint8x16x3_t permute_tbl = vld1q_u8_x3(dot_prod_permute_tbl); + // Filter values are even, so halve to reduce intermediate precision reqs. + const int8x8_t x_filter = vshrn_n_s16(vld1q_s16(x_filter_ptr), 1); + + do { + const uint8_t *s = src_ptr; + CONV_BUF_TYPE *d = dst_ptr; + int width = w; + + do { + uint8x16_t s0, s1, s2, s3; + load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3); + + uint16x8_t d0 = + convolve8_8_x(s0, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d1 = + convolve8_8_x(s1, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d2 = + convolve8_8_x(s2, x_filter, permute_tbl, round_offset_shim); + uint16x8_t d3 = + convolve8_8_x(s3, x_filter, permute_tbl, round_offset_shim); + + store_u16_8x4(d, dst_stride, d0, d1, d2, d3); + + s += 8; + d += 8; + width -= 8; + } while (width != 0); + src_ptr += 4 * src_stride; + dst_ptr += 4 * dst_stride; + height -= 4; + } while (height != 0); + } +} + +void av1_dist_wtd_convolve_x_neon_i8mm( + const uint8_t *src, int src_stride, uint8_t *dst8, int dst8_stride, int w, + int h, const InterpFilterParams *filter_params_x, const int subpel_x_qn, + ConvolveParams *conv_params) { + if (conv_params->do_average) { + if (UNLIKELY(conv_params->use_dist_wtd_comp_avg)) { + dist_wtd_convolve_x_dist_wtd_avg_neon_i8mm( + src, src_stride, dst8, dst8_stride, w, h, filter_params_x, + subpel_x_qn, conv_params); + } else { + dist_wtd_convolve_x_avg_neon_i8mm(src, src_stride, dst8, dst8_stride, w, + h, filter_params_x, subpel_x_qn, + conv_params); + } + } else { + dist_wtd_convolve_x_neon_i8mm(src, src_stride, w, h, filter_params_x, + subpel_x_qn, conv_params); + } +} |