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113 lines
4.7 KiB
C
113 lines
4.7 KiB
C
/***********************************************************************
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Copyright (C) 2014 Vidyo
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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 notice,
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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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- Neither the name of Internet Society, IETF or IETF Trust, nor the
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names of specific contributors, may be used to endorse or promote
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products derived from this software without specific prior written
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permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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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 "main.h"
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#include "stack_alloc.h"
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#include "NSQ.h"
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#include "celt/cpu_support.h"
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#include "celt/arm/armcpu.h"
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opus_int32 silk_noise_shape_quantizer_short_prediction_neon(const opus_int32 *buf32, const opus_int32 *coef32, opus_int order)
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{
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int32x4_t coef0 = vld1q_s32(coef32);
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int32x4_t coef1 = vld1q_s32(coef32 + 4);
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int32x4_t coef2 = vld1q_s32(coef32 + 8);
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int32x4_t coef3 = vld1q_s32(coef32 + 12);
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int32x4_t a0 = vld1q_s32(buf32 - 15);
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int32x4_t a1 = vld1q_s32(buf32 - 11);
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int32x4_t a2 = vld1q_s32(buf32 - 7);
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int32x4_t a3 = vld1q_s32(buf32 - 3);
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int32x4_t b0 = vqdmulhq_s32(coef0, a0);
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int32x4_t b1 = vqdmulhq_s32(coef1, a1);
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int32x4_t b2 = vqdmulhq_s32(coef2, a2);
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int32x4_t b3 = vqdmulhq_s32(coef3, a3);
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int32x4_t c0 = vaddq_s32(b0, b1);
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int32x4_t c1 = vaddq_s32(b2, b3);
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int32x4_t d = vaddq_s32(c0, c1);
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int64x2_t e = vpaddlq_s32(d);
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int64x1_t f = vadd_s64(vget_low_s64(e), vget_high_s64(e));
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opus_int32 out = vget_lane_s32(vreinterpret_s32_s64(f), 0);
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out += silk_RSHIFT( order, 1 );
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return out;
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}
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opus_int32 silk_NSQ_noise_shape_feedback_loop_neon(const opus_int32 *data0, opus_int32 *data1, const opus_int16 *coef, opus_int order)
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{
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opus_int32 out;
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if (order == 8)
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{
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int32x4_t a00 = vdupq_n_s32(data0[0]);
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int32x4_t a01 = vld1q_s32(data1); /* data1[0] ... [3] */
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int32x4_t a0 = vextq_s32 (a00, a01, 3); /* data0[0] data1[0] ...[2] */
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int32x4_t a1 = vld1q_s32(data1 + 3); /* data1[3] ... [6] */
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/*TODO: Convert these once in advance instead of once per sample, like
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silk_noise_shape_quantizer_short_prediction_neon() does.*/
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int16x8_t coef16 = vld1q_s16(coef);
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int32x4_t coef0 = vmovl_s16(vget_low_s16(coef16));
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int32x4_t coef1 = vmovl_s16(vget_high_s16(coef16));
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/*This is not bit-exact with the C version, since we do not drop the
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lower 16 bits of each multiply, but wait until the end to truncate
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precision. This is an encoder-specific calculation (and unlike
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silk_noise_shape_quantizer_short_prediction_neon(), is not meant to
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simulate what the decoder will do). We still could use vqdmulhq_s32()
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like silk_noise_shape_quantizer_short_prediction_neon() and save
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half the multiplies, but the speed difference is not large, since we
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then need two extra adds.*/
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int64x2_t b0 = vmull_s32(vget_low_s32(a0), vget_low_s32(coef0));
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int64x2_t b1 = vmlal_s32(b0, vget_high_s32(a0), vget_high_s32(coef0));
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int64x2_t b2 = vmlal_s32(b1, vget_low_s32(a1), vget_low_s32(coef1));
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int64x2_t b3 = vmlal_s32(b2, vget_high_s32(a1), vget_high_s32(coef1));
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int64x1_t c = vadd_s64(vget_low_s64(b3), vget_high_s64(b3));
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int64x1_t cS = vrshr_n_s64(c, 15);
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int32x2_t d = vreinterpret_s32_s64(cS);
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out = vget_lane_s32(d, 0);
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vst1q_s32(data1, a0);
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vst1q_s32(data1 + 4, a1);
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return out;
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}
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return silk_NSQ_noise_shape_feedback_loop_c(data0, data1, coef, order);
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}
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