493 lines
20 KiB
C
493 lines
20 KiB
C
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/*
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* Copyright (c) 2018, Alliance for Open Media. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef AOM_AV1_COMMON_ARM_CONVOLVE_NEON_H_
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#define AOM_AV1_COMMON_ARM_CONVOLVE_NEON_H_
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#include <arm_neon.h>
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#define HORIZ_EXTRA_ROWS ((SUBPEL_TAPS + 7) & ~0x07)
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static INLINE int16x4_t convolve8_4(const int16x4_t s0, const int16x4_t s1,
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const int16x4_t s2, const int16x4_t s3,
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const int16x4_t s4, const int16x4_t s5,
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const int16x4_t s6, const int16x4_t s7,
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const int16x8_t filter) {
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const int16x4_t filter_lo = vget_low_s16(filter);
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const int16x4_t filter_hi = vget_high_s16(filter);
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int16x4_t sum;
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sum = vmul_lane_s16(s0, filter_lo, 0);
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sum = vmla_lane_s16(sum, s1, filter_lo, 1);
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sum = vmla_lane_s16(sum, s2, filter_lo, 2);
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sum = vmla_lane_s16(sum, s5, filter_hi, 1);
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sum = vmla_lane_s16(sum, s6, filter_hi, 2);
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sum = vmla_lane_s16(sum, s7, filter_hi, 3);
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sum = vqadd_s16(sum, vmul_lane_s16(s3, filter_lo, 3));
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sum = vqadd_s16(sum, vmul_lane_s16(s4, filter_hi, 0));
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return sum;
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}
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static INLINE uint8x8_t convolve8_8(const int16x8_t s0, const int16x8_t s1,
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const int16x8_t s2, const int16x8_t s3,
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const int16x8_t s4, const int16x8_t s5,
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const int16x8_t s6, const int16x8_t s7,
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const int16x8_t filter) {
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const int16x4_t filter_lo = vget_low_s16(filter);
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const int16x4_t filter_hi = vget_high_s16(filter);
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int16x8_t sum;
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sum = vmulq_lane_s16(s0, filter_lo, 0);
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sum = vmlaq_lane_s16(sum, s1, filter_lo, 1);
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sum = vmlaq_lane_s16(sum, s2, filter_lo, 2);
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sum = vmlaq_lane_s16(sum, s5, filter_hi, 1);
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sum = vmlaq_lane_s16(sum, s6, filter_hi, 2);
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sum = vmlaq_lane_s16(sum, s7, filter_hi, 3);
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sum = vqaddq_s16(sum, vmulq_lane_s16(s3, filter_lo, 3));
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sum = vqaddq_s16(sum, vmulq_lane_s16(s4, filter_hi, 0));
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return vqrshrun_n_s16(sum, 7);
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}
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static INLINE uint8x8_t scale_filter_8(const uint8x8_t *const s,
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const int16x8_t filter) {
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int16x8_t ss[8];
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ss[0] = vreinterpretq_s16_u16(vmovl_u8(s[0]));
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ss[1] = vreinterpretq_s16_u16(vmovl_u8(s[1]));
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ss[2] = vreinterpretq_s16_u16(vmovl_u8(s[2]));
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ss[3] = vreinterpretq_s16_u16(vmovl_u8(s[3]));
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ss[4] = vreinterpretq_s16_u16(vmovl_u8(s[4]));
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ss[5] = vreinterpretq_s16_u16(vmovl_u8(s[5]));
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ss[6] = vreinterpretq_s16_u16(vmovl_u8(s[6]));
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ss[7] = vreinterpretq_s16_u16(vmovl_u8(s[7]));
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return convolve8_8(ss[0], ss[1], ss[2], ss[3], ss[4], ss[5], ss[6], ss[7],
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filter);
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}
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static INLINE uint8x8_t wiener_convolve8_vert_4x8(
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const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,
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const int16x8_t s3, const int16x8_t s4, const int16x8_t s5,
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const int16x8_t s6, int16_t *filter_y, const int bd,
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const int round1_bits) {
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int16x8_t ss0, ss1, ss2;
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int32x4_t sum0, sum1;
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int16x8_t tmp;
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uint8x8_t res;
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const int32_t round_const = (1 << (bd + round1_bits - 1));
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const int32x4_t round_bits = vdupq_n_s32(-round1_bits);
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const int32x4_t round_vec = vdupq_n_s32(round_const);
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const int16x4_t filter = vld1_s16(filter_y);
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ss0 = vaddq_s16(s0, s6);
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ss1 = vaddq_s16(s1, s5);
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ss2 = vaddq_s16(s2, s4);
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sum0 = vmull_lane_s16(vget_low_s16(ss0), filter, 0);
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sum0 = vmlal_lane_s16(sum0, vget_low_s16(ss1), filter, 1);
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sum0 = vmlal_lane_s16(sum0, vget_low_s16(ss2), filter, 2);
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sum0 = vmlal_lane_s16(sum0, vget_low_s16(s3), filter, 3);
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sum1 = vmull_lane_s16(vget_high_s16(ss0), filter, 0);
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sum1 = vmlal_lane_s16(sum1, vget_high_s16(ss1), filter, 1);
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sum1 = vmlal_lane_s16(sum1, vget_high_s16(ss2), filter, 2);
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sum1 = vmlal_lane_s16(sum1, vget_high_s16(s3), filter, 3);
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sum0 = vsubq_s32(sum0, round_vec);
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sum1 = vsubq_s32(sum1, round_vec);
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/* right shift & rounding */
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sum0 = vrshlq_s32(sum0, round_bits);
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sum1 = vrshlq_s32(sum1, round_bits);
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/* from int32x4_t to uint8x8_t */
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tmp = vcombine_s16(vmovn_s32(sum0), vmovn_s32(sum1));
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res = vqmovun_s16(tmp);
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return res;
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}
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static INLINE uint16x8_t wiener_convolve8_horiz_8x8(
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const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,
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const int16x8_t s3, int16_t *filter_x, const int bd,
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const int round0_bits) {
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int16x8_t sum;
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uint16x8_t res;
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int32x4_t sum_0, sum_1;
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int32x4_t s3_0, s3_1;
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const int32_t round_const_0 = (1 << (bd + FILTER_BITS - 1));
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const int32_t round_const_1 = (1 << (bd + 1 + FILTER_BITS - round0_bits)) - 1;
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/* for the purpose of right shift by { conv_params->round_0 } */
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const int32x4_t round_bits = vdupq_n_s32(-round0_bits);
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const int32x4_t round_vec_0 = vdupq_n_s32(round_const_0);
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const int32x4_t round_vec_1 = vdupq_n_s32(round_const_1);
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const int16x4_t filter = vld1_s16(filter_x);
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sum = vmulq_lane_s16(s0, filter, 0);
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sum = vmlaq_lane_s16(sum, s1, filter, 1);
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sum = vmlaq_lane_s16(sum, s2, filter, 2);
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/* sum from 16x8 to 2 32x4 registers */
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sum_0 = vmovl_s16(vget_low_s16(sum));
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sum_1 = vmovl_s16(vget_high_s16(sum));
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/* s[3]*128 -- and filter coef max can be 128
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* then max value possible = 128*128*255 exceeding 16 bit
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*/
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s3_0 = vmull_lane_s16(vget_low_s16(s3), filter, 3);
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s3_1 = vmull_lane_s16(vget_high_s16(s3), filter, 3);
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sum_0 = vaddq_s32(sum_0, s3_0);
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sum_1 = vaddq_s32(sum_1, s3_1);
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/* Add the constant value */
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sum_0 = vaddq_s32(sum_0, round_vec_0);
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sum_1 = vaddq_s32(sum_1, round_vec_0);
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/* right shift & rounding & saturating */
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sum_0 = vqrshlq_s32(sum_0, round_bits);
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sum_1 = vqrshlq_s32(sum_1, round_bits);
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/* Clipping to max value */
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sum_0 = vminq_s32(sum_0, round_vec_1);
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sum_1 = vminq_s32(sum_1, round_vec_1);
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res = vcombine_u16(vqmovun_s32(sum_0), vqmovun_s32(sum_1));
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return res;
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}
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static INLINE uint16x4_t wiener_convolve8_horiz_4x8(
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const int16x4_t s0, const int16x4_t s1, const int16x4_t s2,
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const int16x4_t s3, const int16x4_t s4, const int16x4_t s5,
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const int16x4_t s6, int16_t *filter_x, const int bd,
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const int round0_bits) {
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uint16x4_t res;
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int32x4_t sum_0, s3_0;
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int16x4_t sum, temp0, temp1, temp2;
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const int32_t round_const_0 = (1 << (bd + FILTER_BITS - 1));
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const int32_t round_const_1 = (1 << (bd + 1 + FILTER_BITS - round0_bits)) - 1;
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const int32x4_t round_bits = vdupq_n_s32(-round0_bits);
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const int32x4_t round_vec_0 = vdupq_n_s32(round_const_0);
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const int32x4_t round_vec_1 = vdupq_n_s32(round_const_1);
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const int16x4_t filter = vld1_s16(filter_x);
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temp0 = vadd_s16(s0, s6);
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temp1 = vadd_s16(s1, s5);
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temp2 = vadd_s16(s2, s4);
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sum = vmul_lane_s16(temp0, filter, 0);
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sum = vmla_lane_s16(sum, temp1, filter, 1);
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sum = vmla_lane_s16(sum, temp2, filter, 2);
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sum_0 = vmovl_s16(sum);
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/* s[3]*128 -- and filter coff max can be 128.
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* then max value possible = 128*128*255 Therefore, 32 bits are required to
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* hold the result.
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*/
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s3_0 = vmull_lane_s16(s3, filter, 3);
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sum_0 = vaddq_s32(sum_0, s3_0);
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sum_0 = vaddq_s32(sum_0, round_vec_0);
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sum_0 = vrshlq_s32(sum_0, round_bits);
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sum_0 = vminq_s32(sum_0, round_vec_1);
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res = vqmovun_s32(sum_0);
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return res;
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}
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static INLINE int16x8_t convolve8_8x8_s16(
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const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,
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const int16x8_t s3, const int16x8_t s4, const int16x8_t s5,
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const int16x8_t s6, const int16x8_t s7, const int16x8_t filter,
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const int16x8_t horiz_const, const int16x8_t shift_round_0) {
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const int16x4_t filter_lo = vget_low_s16(filter);
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const int16x4_t filter_hi = vget_high_s16(filter);
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int16x8_t sum;
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sum = horiz_const;
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sum = vmlaq_lane_s16(sum, s0, filter_lo, 0);
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sum = vmlaq_lane_s16(sum, s1, filter_lo, 1);
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sum = vmlaq_lane_s16(sum, s2, filter_lo, 2);
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sum = vmlaq_lane_s16(sum, s3, filter_lo, 3);
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sum = vmlaq_lane_s16(sum, s4, filter_hi, 0);
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sum = vmlaq_lane_s16(sum, s5, filter_hi, 1);
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sum = vmlaq_lane_s16(sum, s6, filter_hi, 2);
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sum = vmlaq_lane_s16(sum, s7, filter_hi, 3);
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sum = vqrshlq_s16(sum, shift_round_0);
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return sum;
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}
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#if defined(__aarch64__) && defined(__ARM_FEATURE_DOTPROD)
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DECLARE_ALIGNED(16, static const uint8_t, dot_prod_permute_tbl[48]) = {
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0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6,
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4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10,
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8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14
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};
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#endif // defined(__aarch64__) && defined(__ARM_FEATURE_DOTPROD)
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#if defined(__aarch64__) && defined(__ARM_FEATURE_MATMUL_INT8)
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static INLINE int32x4_t convolve8_4_usdot(uint8x16_t samples,
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const int8x8_t filters,
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const uint8x16x2_t permute_tbl,
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const int32x4_t horiz_const) {
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uint8x16_t permuted_samples[2];
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int32x4_t sum;
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/* Permute samples ready for dot product. */
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/* { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 } */
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permuted_samples[0] = vqtbl1q_u8(samples, permute_tbl.val[0]);
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/* { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 } */
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permuted_samples[1] = vqtbl1q_u8(samples, permute_tbl.val[1]);
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/* First 4 output values. */
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sum = vusdotq_lane_s32(horiz_const, permuted_samples[0], filters, 0);
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sum = vusdotq_lane_s32(sum, permuted_samples[1], filters, 1);
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/* Narrowing and packing is performed by the caller. */
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return sum;
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}
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static INLINE int16x8_t convolve8_8_usdot(uint8x16_t samples,
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const int8x8_t filters,
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const uint8x16x3_t permute_tbl,
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const int32x4_t horiz_const,
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const int16x8_t shift_round_0) {
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uint8x16_t permuted_samples[3];
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int32x4_t sum0, sum1;
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int16x8_t sum;
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/* Permute samples ready for dot product. */
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/* { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 } */
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permuted_samples[0] = vqtbl1q_u8(samples, permute_tbl.val[0]);
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/* { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 } */
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permuted_samples[1] = vqtbl1q_u8(samples, permute_tbl.val[1]);
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/* { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 } */
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permuted_samples[2] = vqtbl1q_u8(samples, permute_tbl.val[2]);
|
||
|
|
|
||
|
|
/* First 4 output values. */
|
||
|
|
sum0 = vusdotq_lane_s32(horiz_const, permuted_samples[0], filters, 0);
|
||
|
|
sum0 = vusdotq_lane_s32(sum0, permuted_samples[1], filters, 1);
|
||
|
|
/* Second 4 output values. */
|
||
|
|
sum1 = vusdotq_lane_s32(horiz_const, permuted_samples[1], filters, 0);
|
||
|
|
sum1 = vusdotq_lane_s32(sum1, permuted_samples[2], filters, 1);
|
||
|
|
|
||
|
|
/* Narrow and re-pack. */
|
||
|
|
sum = vcombine_s16(vmovn_s32(sum0), vmovn_s32(sum1));
|
||
|
|
return vqrshlq_s16(sum, shift_round_0);
|
||
|
|
}
|
||
|
|
|
||
|
|
#elif defined(__aarch64__) && defined(__ARM_FEATURE_DOTPROD)
|
||
|
|
|
||
|
|
static INLINE int32x4_t convolve8_4_sdot(uint8x16_t samples,
|
||
|
|
const int8x8_t filters,
|
||
|
|
const int32x4_t correction,
|
||
|
|
const uint8x16_t range_limit,
|
||
|
|
const uint8x16x2_t permute_tbl) {
|
||
|
|
int8x16_t clamped_samples, permuted_samples[2];
|
||
|
|
int32x4_t sum;
|
||
|
|
|
||
|
|
/* Clamp sample range to [-128, 127] for 8-bit signed dot product. */
|
||
|
|
clamped_samples = vreinterpretq_s8_u8(vsubq_u8(samples, range_limit));
|
||
|
|
|
||
|
|
/* 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_s8(clamped_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_s8(clamped_samples, permute_tbl.val[1]);
|
||
|
|
|
||
|
|
/* Accumulate dot product into 'correction' to account for range clamp. */
|
||
|
|
sum = vdotq_lane_s32(correction, permuted_samples[0], filters, 0);
|
||
|
|
sum = vdotq_lane_s32(sum, permuted_samples[1], filters, 1);
|
||
|
|
|
||
|
|
/* Narrowing and packing is performed by the caller. */
|
||
|
|
return sum;
|
||
|
|
}
|
||
|
|
|
||
|
|
static INLINE int16x8_t convolve8_8_sdot(uint8x16_t samples,
|
||
|
|
const int8x8_t filters,
|
||
|
|
const int32x4_t correction,
|
||
|
|
const uint8x16_t range_limit,
|
||
|
|
const uint8x16x3_t permute_tbl,
|
||
|
|
const int16x8_t shift_round_0) {
|
||
|
|
int8x16_t clamped_samples, permuted_samples[3];
|
||
|
|
int32x4_t sum0, sum1;
|
||
|
|
int16x8_t sum;
|
||
|
|
|
||
|
|
/* Clamp sample range to [-128, 127] for 8-bit signed dot product. */
|
||
|
|
clamped_samples = vreinterpretq_s8_u8(vsubq_u8(samples, range_limit));
|
||
|
|
|
||
|
|
/* 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_s8(clamped_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_s8(clamped_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_s8(clamped_samples, permute_tbl.val[2]);
|
||
|
|
|
||
|
|
/* Accumulate dot product into 'correction' to account for range clamp. */
|
||
|
|
/* First 4 output values. */
|
||
|
|
sum0 = vdotq_lane_s32(correction, permuted_samples[0], filters, 0);
|
||
|
|
sum0 = vdotq_lane_s32(sum0, permuted_samples[1], filters, 1);
|
||
|
|
/* Second 4 output values. */
|
||
|
|
sum1 = vdotq_lane_s32(correction, permuted_samples[1], filters, 0);
|
||
|
|
sum1 = vdotq_lane_s32(sum1, permuted_samples[2], filters, 1);
|
||
|
|
|
||
|
|
/* Narrow and re-pack. */
|
||
|
|
sum = vcombine_s16(vmovn_s32(sum0), vmovn_s32(sum1));
|
||
|
|
return vqrshlq_s16(sum, shift_round_0);
|
||
|
|
}
|
||
|
|
|
||
|
|
#endif // defined(__aarch64__) && defined(__ARM_FEATURE_DOTPROD)
|
||
|
|
|
||
|
|
static INLINE int16x4_t convolve8_4x4_s16(
|
||
|
|
const int16x4_t s0, const int16x4_t s1, const int16x4_t s2,
|
||
|
|
const int16x4_t s3, const int16x4_t s4, const int16x4_t s5,
|
||
|
|
const int16x4_t s6, const int16x4_t s7, const int16x8_t filter,
|
||
|
|
const int16x4_t horiz_const, const int16x4_t shift_round_0) {
|
||
|
|
const int16x4_t filter_lo = vget_low_s16(filter);
|
||
|
|
const int16x4_t filter_hi = vget_high_s16(filter);
|
||
|
|
int16x4_t sum;
|
||
|
|
|
||
|
|
sum = horiz_const;
|
||
|
|
sum = vmla_lane_s16(sum, s0, filter_lo, 0);
|
||
|
|
sum = vmla_lane_s16(sum, s1, filter_lo, 1);
|
||
|
|
sum = vmla_lane_s16(sum, s2, filter_lo, 2);
|
||
|
|
sum = vmla_lane_s16(sum, s3, filter_lo, 3);
|
||
|
|
sum = vmla_lane_s16(sum, s4, filter_hi, 0);
|
||
|
|
sum = vmla_lane_s16(sum, s5, filter_hi, 1);
|
||
|
|
sum = vmla_lane_s16(sum, s6, filter_hi, 2);
|
||
|
|
sum = vmla_lane_s16(sum, s7, filter_hi, 3);
|
||
|
|
|
||
|
|
sum = vqrshl_s16(sum, shift_round_0);
|
||
|
|
|
||
|
|
return sum;
|
||
|
|
}
|
||
|
|
|
||
|
|
static INLINE uint16x4_t convolve6_4_s32(const int16x4_t s0, const int16x4_t s1,
|
||
|
|
const int16x4_t s2, const int16x4_t s3,
|
||
|
|
const int16x4_t s4, const int16x4_t s5,
|
||
|
|
const int16x8_t y_filter,
|
||
|
|
const int32x4_t round_shift_vec,
|
||
|
|
const int32x4_t offset_const) {
|
||
|
|
const int16x4_t y_filter_lo = vget_low_s16(y_filter);
|
||
|
|
const int16x4_t y_filter_hi = vget_high_s16(y_filter);
|
||
|
|
|
||
|
|
int32x4_t sum = offset_const;
|
||
|
|
sum = vmlal_lane_s16(sum, s0, y_filter_lo, 1);
|
||
|
|
sum = vmlal_lane_s16(sum, s1, y_filter_lo, 2);
|
||
|
|
sum = vmlal_lane_s16(sum, s2, y_filter_lo, 3);
|
||
|
|
sum = vmlal_lane_s16(sum, s3, y_filter_hi, 0);
|
||
|
|
sum = vmlal_lane_s16(sum, s4, y_filter_hi, 1);
|
||
|
|
sum = vmlal_lane_s16(sum, s5, y_filter_hi, 2);
|
||
|
|
|
||
|
|
sum = vqrshlq_s32(sum, round_shift_vec);
|
||
|
|
return vqmovun_s32(sum);
|
||
|
|
}
|
||
|
|
|
||
|
|
static INLINE uint16x8_t convolve6_8_s32(const int16x8_t s0, const int16x8_t s1,
|
||
|
|
const int16x8_t s2, const int16x8_t s3,
|
||
|
|
const int16x8_t s4, const int16x8_t s5,
|
||
|
|
const int16x8_t y_filter,
|
||
|
|
const int32x4_t round_shift_vec,
|
||
|
|
const int32x4_t offset_const) {
|
||
|
|
const int16x4_t y_filter_lo = vget_low_s16(y_filter);
|
||
|
|
const int16x4_t y_filter_hi = vget_high_s16(y_filter);
|
||
|
|
|
||
|
|
int32x4_t sum0 = offset_const;
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s0), y_filter_lo, 1);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s1), y_filter_lo, 2);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s2), y_filter_lo, 3);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s3), y_filter_hi, 0);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s4), y_filter_hi, 1);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s5), y_filter_hi, 2);
|
||
|
|
|
||
|
|
int32x4_t sum1 = offset_const;
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s0), y_filter_lo, 1);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s1), y_filter_lo, 2);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s2), y_filter_lo, 3);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s3), y_filter_hi, 0);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s4), y_filter_hi, 1);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s5), y_filter_hi, 2);
|
||
|
|
|
||
|
|
sum0 = vqrshlq_s32(sum0, round_shift_vec);
|
||
|
|
sum1 = vqrshlq_s32(sum1, round_shift_vec);
|
||
|
|
return vcombine_u16(vqmovun_s32(sum0), vqmovun_s32(sum1));
|
||
|
|
}
|
||
|
|
|
||
|
|
static INLINE uint16x4_t convolve8_4_s32(const int16x4_t s0, const int16x4_t s1,
|
||
|
|
const int16x4_t s2, const int16x4_t s3,
|
||
|
|
const int16x4_t s4, const int16x4_t s5,
|
||
|
|
const int16x4_t s6, const int16x4_t s7,
|
||
|
|
const int16x8_t y_filter,
|
||
|
|
const int32x4_t round_shift_vec,
|
||
|
|
const int32x4_t offset_const) {
|
||
|
|
const int16x4_t y_filter_lo = vget_low_s16(y_filter);
|
||
|
|
const int16x4_t y_filter_hi = vget_high_s16(y_filter);
|
||
|
|
|
||
|
|
int32x4_t sum = offset_const;
|
||
|
|
sum = vmlal_lane_s16(sum, s0, y_filter_lo, 0);
|
||
|
|
sum = vmlal_lane_s16(sum, s1, y_filter_lo, 1);
|
||
|
|
sum = vmlal_lane_s16(sum, s2, y_filter_lo, 2);
|
||
|
|
sum = vmlal_lane_s16(sum, s3, y_filter_lo, 3);
|
||
|
|
sum = vmlal_lane_s16(sum, s4, y_filter_hi, 0);
|
||
|
|
sum = vmlal_lane_s16(sum, s5, y_filter_hi, 1);
|
||
|
|
sum = vmlal_lane_s16(sum, s6, y_filter_hi, 2);
|
||
|
|
sum = vmlal_lane_s16(sum, s7, y_filter_hi, 3);
|
||
|
|
|
||
|
|
sum = vqrshlq_s32(sum, round_shift_vec);
|
||
|
|
return vqmovun_s32(sum);
|
||
|
|
}
|
||
|
|
|
||
|
|
static INLINE uint16x8_t convolve8_8_s32(const int16x8_t s0, const int16x8_t s1,
|
||
|
|
const int16x8_t s2, const int16x8_t s3,
|
||
|
|
const int16x8_t s4, const int16x8_t s5,
|
||
|
|
const int16x8_t s6, const int16x8_t s7,
|
||
|
|
const int16x8_t y_filter,
|
||
|
|
const int32x4_t round_shift_vec,
|
||
|
|
const int32x4_t offset_const) {
|
||
|
|
const int16x4_t y_filter_lo = vget_low_s16(y_filter);
|
||
|
|
const int16x4_t y_filter_hi = vget_high_s16(y_filter);
|
||
|
|
|
||
|
|
int32x4_t sum0 = offset_const;
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s0), y_filter_lo, 0);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s1), y_filter_lo, 1);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s2), y_filter_lo, 2);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s3), y_filter_lo, 3);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s4), y_filter_hi, 0);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s5), y_filter_hi, 1);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s6), y_filter_hi, 2);
|
||
|
|
sum0 = vmlal_lane_s16(sum0, vget_low_s16(s7), y_filter_hi, 3);
|
||
|
|
|
||
|
|
int32x4_t sum1 = offset_const;
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s0), y_filter_lo, 0);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s1), y_filter_lo, 1);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s2), y_filter_lo, 2);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s3), y_filter_lo, 3);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s4), y_filter_hi, 0);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s5), y_filter_hi, 1);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s6), y_filter_hi, 2);
|
||
|
|
sum1 = vmlal_lane_s16(sum1, vget_high_s16(s7), y_filter_hi, 3);
|
||
|
|
|
||
|
|
sum0 = vqrshlq_s32(sum0, round_shift_vec);
|
||
|
|
sum1 = vqrshlq_s32(sum1, round_shift_vec);
|
||
|
|
return vcombine_u16(vqmovun_s32(sum0), vqmovun_s32(sum1));
|
||
|
|
}
|
||
|
|
|
||
|
|
#endif // AOM_AV1_COMMON_ARM_CONVOLVE_NEON_H_
|