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https://github.com/DrBeef/ioq3quest.git
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311 lines
9 KiB
C
311 lines
9 KiB
C
/* Copyright (c) 2014-2015 Xiph.Org Foundation
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Written by Viswanath Puttagunta */
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/**
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@file celt_neon_intr.c
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@brief ARM Neon Intrinsic optimizations for celt
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*/
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/*
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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- Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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- Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
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OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifdef HAVE_CONFIG_H
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#include "config.h"
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#endif
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#include <arm_neon.h>
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#include "../pitch.h"
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#if defined(FIXED_POINT)
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void xcorr_kernel_neon_fixed(const opus_val16 * x, const opus_val16 * y, opus_val32 sum[4], int len)
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{
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int j;
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int32x4_t a = vld1q_s32(sum);
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/* Load y[0...3] */
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/* This requires len>0 to always be valid (which we assert in the C code). */
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int16x4_t y0 = vld1_s16(y);
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y += 4;
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for (j = 0; j + 8 <= len; j += 8)
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{
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/* Load x[0...7] */
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int16x8_t xx = vld1q_s16(x);
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int16x4_t x0 = vget_low_s16(xx);
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int16x4_t x4 = vget_high_s16(xx);
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/* Load y[4...11] */
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int16x8_t yy = vld1q_s16(y);
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int16x4_t y4 = vget_low_s16(yy);
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int16x4_t y8 = vget_high_s16(yy);
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int32x4_t a0 = vmlal_lane_s16(a, y0, x0, 0);
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int32x4_t a1 = vmlal_lane_s16(a0, y4, x4, 0);
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int16x4_t y1 = vext_s16(y0, y4, 1);
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int16x4_t y5 = vext_s16(y4, y8, 1);
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int32x4_t a2 = vmlal_lane_s16(a1, y1, x0, 1);
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int32x4_t a3 = vmlal_lane_s16(a2, y5, x4, 1);
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int16x4_t y2 = vext_s16(y0, y4, 2);
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int16x4_t y6 = vext_s16(y4, y8, 2);
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int32x4_t a4 = vmlal_lane_s16(a3, y2, x0, 2);
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int32x4_t a5 = vmlal_lane_s16(a4, y6, x4, 2);
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int16x4_t y3 = vext_s16(y0, y4, 3);
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int16x4_t y7 = vext_s16(y4, y8, 3);
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int32x4_t a6 = vmlal_lane_s16(a5, y3, x0, 3);
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int32x4_t a7 = vmlal_lane_s16(a6, y7, x4, 3);
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y0 = y8;
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a = a7;
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x += 8;
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y += 8;
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}
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for (; j < len; j++)
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{
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int16x4_t x0 = vld1_dup_s16(x); /* load next x */
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int32x4_t a0 = vmlal_s16(a, y0, x0);
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int16x4_t y4 = vld1_dup_s16(y); /* load next y */
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y0 = vext_s16(y0, y4, 1);
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a = a0;
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x++;
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y++;
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}
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vst1q_s32(sum, a);
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}
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#else
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/*
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* Function: xcorr_kernel_neon_float
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* ---------------------------------
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* Computes 4 correlation values and stores them in sum[4]
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*/
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static void xcorr_kernel_neon_float(const float32_t *x, const float32_t *y,
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float32_t sum[4], int len) {
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float32x4_t YY[3];
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float32x4_t YEXT[3];
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float32x4_t XX[2];
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float32x2_t XX_2;
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float32x4_t SUMM;
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const float32_t *xi = x;
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const float32_t *yi = y;
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celt_assert(len>0);
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YY[0] = vld1q_f32(yi);
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SUMM = vdupq_n_f32(0);
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/* Consume 8 elements in x vector and 12 elements in y
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* vector. However, the 12'th element never really gets
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* touched in this loop. So, if len == 8, then we only
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* must access y[0] to y[10]. y[11] must not be accessed
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* hence make sure len > 8 and not len >= 8
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*/
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while (len > 8) {
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yi += 4;
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YY[1] = vld1q_f32(yi);
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yi += 4;
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YY[2] = vld1q_f32(yi);
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XX[0] = vld1q_f32(xi);
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xi += 4;
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XX[1] = vld1q_f32(xi);
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xi += 4;
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SUMM = vmlaq_lane_f32(SUMM, YY[0], vget_low_f32(XX[0]), 0);
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YEXT[0] = vextq_f32(YY[0], YY[1], 1);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[0], vget_low_f32(XX[0]), 1);
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YEXT[1] = vextq_f32(YY[0], YY[1], 2);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[1], vget_high_f32(XX[0]), 0);
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YEXT[2] = vextq_f32(YY[0], YY[1], 3);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[2], vget_high_f32(XX[0]), 1);
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SUMM = vmlaq_lane_f32(SUMM, YY[1], vget_low_f32(XX[1]), 0);
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YEXT[0] = vextq_f32(YY[1], YY[2], 1);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[0], vget_low_f32(XX[1]), 1);
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YEXT[1] = vextq_f32(YY[1], YY[2], 2);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[1], vget_high_f32(XX[1]), 0);
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YEXT[2] = vextq_f32(YY[1], YY[2], 3);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[2], vget_high_f32(XX[1]), 1);
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YY[0] = YY[2];
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len -= 8;
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}
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/* Consume 4 elements in x vector and 8 elements in y
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* vector. However, the 8'th element in y never really gets
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* touched in this loop. So, if len == 4, then we only
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* must access y[0] to y[6]. y[7] must not be accessed
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* hence make sure len>4 and not len>=4
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*/
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if (len > 4) {
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yi += 4;
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YY[1] = vld1q_f32(yi);
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XX[0] = vld1q_f32(xi);
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xi += 4;
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SUMM = vmlaq_lane_f32(SUMM, YY[0], vget_low_f32(XX[0]), 0);
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YEXT[0] = vextq_f32(YY[0], YY[1], 1);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[0], vget_low_f32(XX[0]), 1);
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YEXT[1] = vextq_f32(YY[0], YY[1], 2);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[1], vget_high_f32(XX[0]), 0);
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YEXT[2] = vextq_f32(YY[0], YY[1], 3);
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SUMM = vmlaq_lane_f32(SUMM, YEXT[2], vget_high_f32(XX[0]), 1);
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YY[0] = YY[1];
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len -= 4;
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}
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while (--len > 0) {
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XX_2 = vld1_dup_f32(xi++);
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SUMM = vmlaq_lane_f32(SUMM, YY[0], XX_2, 0);
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YY[0]= vld1q_f32(++yi);
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}
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XX_2 = vld1_dup_f32(xi);
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SUMM = vmlaq_lane_f32(SUMM, YY[0], XX_2, 0);
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vst1q_f32(sum, SUMM);
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}
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/*
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* Function: xcorr_kernel_neon_float_process1
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* ---------------------------------
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* Computes single correlation values and stores in *sum
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*/
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static void xcorr_kernel_neon_float_process1(const float32_t *x,
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const float32_t *y, float32_t *sum, int len) {
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float32x4_t XX[4];
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float32x4_t YY[4];
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float32x2_t XX_2;
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float32x2_t YY_2;
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float32x4_t SUMM;
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float32x2_t SUMM_2[2];
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const float32_t *xi = x;
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const float32_t *yi = y;
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SUMM = vdupq_n_f32(0);
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/* Work on 16 values per iteration */
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while (len >= 16) {
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XX[0] = vld1q_f32(xi);
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xi += 4;
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XX[1] = vld1q_f32(xi);
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xi += 4;
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XX[2] = vld1q_f32(xi);
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xi += 4;
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XX[3] = vld1q_f32(xi);
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xi += 4;
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YY[0] = vld1q_f32(yi);
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yi += 4;
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YY[1] = vld1q_f32(yi);
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yi += 4;
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YY[2] = vld1q_f32(yi);
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yi += 4;
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YY[3] = vld1q_f32(yi);
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yi += 4;
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SUMM = vmlaq_f32(SUMM, YY[0], XX[0]);
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SUMM = vmlaq_f32(SUMM, YY[1], XX[1]);
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SUMM = vmlaq_f32(SUMM, YY[2], XX[2]);
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SUMM = vmlaq_f32(SUMM, YY[3], XX[3]);
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len -= 16;
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}
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/* Work on 8 values */
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if (len >= 8) {
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XX[0] = vld1q_f32(xi);
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xi += 4;
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XX[1] = vld1q_f32(xi);
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xi += 4;
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YY[0] = vld1q_f32(yi);
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yi += 4;
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YY[1] = vld1q_f32(yi);
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yi += 4;
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SUMM = vmlaq_f32(SUMM, YY[0], XX[0]);
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SUMM = vmlaq_f32(SUMM, YY[1], XX[1]);
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len -= 8;
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}
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/* Work on 4 values */
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if (len >= 4) {
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XX[0] = vld1q_f32(xi);
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xi += 4;
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YY[0] = vld1q_f32(yi);
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yi += 4;
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SUMM = vmlaq_f32(SUMM, YY[0], XX[0]);
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len -= 4;
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}
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/* Start accumulating results */
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SUMM_2[0] = vget_low_f32(SUMM);
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if (len >= 2) {
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/* While at it, consume 2 more values if available */
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XX_2 = vld1_f32(xi);
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xi += 2;
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YY_2 = vld1_f32(yi);
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yi += 2;
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SUMM_2[0] = vmla_f32(SUMM_2[0], YY_2, XX_2);
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len -= 2;
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}
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SUMM_2[1] = vget_high_f32(SUMM);
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SUMM_2[0] = vadd_f32(SUMM_2[0], SUMM_2[1]);
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SUMM_2[0] = vpadd_f32(SUMM_2[0], SUMM_2[0]);
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/* Ok, now we have result accumulated in SUMM_2[0].0 */
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if (len > 0) {
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/* Case when you have one value left */
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XX_2 = vld1_dup_f32(xi);
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YY_2 = vld1_dup_f32(yi);
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SUMM_2[0] = vmla_f32(SUMM_2[0], XX_2, YY_2);
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}
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vst1_lane_f32(sum, SUMM_2[0], 0);
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}
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void celt_pitch_xcorr_float_neon(const opus_val16 *_x, const opus_val16 *_y,
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opus_val32 *xcorr, int len, int max_pitch) {
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int i;
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celt_assert(max_pitch > 0);
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celt_assert((((unsigned char *)_x-(unsigned char *)NULL)&3)==0);
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for (i = 0; i < (max_pitch-3); i += 4) {
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xcorr_kernel_neon_float((const float32_t *)_x, (const float32_t *)_y+i,
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(float32_t *)xcorr+i, len);
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}
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/* In case max_pitch isn't multiple of 4
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* compute single correlation value per iteration
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*/
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for (; i < max_pitch; i++) {
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xcorr_kernel_neon_float_process1((const float32_t *)_x,
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(const float32_t *)_y+i, (float32_t *)xcorr+i, len);
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}
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}
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#endif
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