mirror of https://gerrit.osmocom.org/libosmocore
107 lines
3.1 KiB
C
107 lines
3.1 KiB
C
/*! \file conv_acc_neon.c
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* Accelerated Viterbi decoder implementation
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* for architectures with only NEON available. */
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/*
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* (C) 2020 by sysmocom - s.f.m.c. GmbH
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* Author: Eric Wild
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*
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* All Rights Reserved
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*
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* SPDX-License-Identifier: GPL-2.0+
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*/
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#include <stdlib.h>
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#include <stdint.h>
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#include <malloc.h>
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#include "config.h"
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#if defined(HAVE_NEON)
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#include <arm_neon.h>
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#endif
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/* align req is 16 on android because google was confused, 8 on sane platforms */
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#define NEON_ALIGN 8
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#include <conv_acc_neon_impl.h>
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/* Aligned Memory Allocator
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* NEON requires 8-byte memory alignment. We store relevant trellis values
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* (accumulated sums, outputs, and path decisions) as 16 bit signed integers
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* so the allocated memory is casted as such.
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*/
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__attribute__ ((visibility("hidden")))
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int16_t *osmo_conv_neon_vdec_malloc(size_t n)
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{
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return (int16_t *) memalign(NEON_ALIGN, sizeof(int16_t) * n);
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}
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__attribute__ ((visibility("hidden")))
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void osmo_conv_neon_vdec_free(int16_t *ptr)
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{
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free(ptr);
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}
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__attribute__ ((visibility("hidden")))
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void osmo_conv_neon_metrics_k5_n2(const int8_t *val, const int16_t *out,
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int16_t *sums, int16_t *paths, int norm)
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{
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const int16_t _val[4] = { val[0], val[1], val[0], val[1] };
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_neon_metrics_k5_n2(_val, out, sums, paths, norm);
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}
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__attribute__ ((visibility("hidden")))
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void osmo_conv_neon_metrics_k5_n3(const int8_t *val, const int16_t *out,
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int16_t *sums, int16_t *paths, int norm)
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{
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const int16_t _val[4] = { val[0], val[1], val[2], 0 };
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_neon_metrics_k5_n4(_val, out, sums, paths, norm);
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}
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__attribute__ ((visibility("hidden")))
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void osmo_conv_neon_metrics_k5_n4(const int8_t *val, const int16_t *out,
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int16_t *sums, int16_t *paths, int norm)
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{
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const int16_t _val[4] = { val[0], val[1], val[2], val[3] };
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_neon_metrics_k5_n4(_val, out, sums, paths, norm);
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}
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__attribute__ ((visibility("hidden")))
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void osmo_conv_neon_metrics_k7_n2(const int8_t *val, const int16_t *out,
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int16_t *sums, int16_t *paths, int norm)
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{
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const int16_t _val[4] = { val[0], val[1], val[0], val[1] };
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_neon_metrics_k7_n2(_val, out, sums, paths, norm);
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}
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__attribute__ ((visibility("hidden")))
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void osmo_conv_neon_metrics_k7_n3(const int8_t *val, const int16_t *out,
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int16_t *sums, int16_t *paths, int norm)
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{
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const int16_t _val[4] = { val[0], val[1], val[2], 0 };
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_neon_metrics_k7_n4(_val, out, sums, paths, norm);
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}
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__attribute__ ((visibility("hidden")))
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void osmo_conv_neon_metrics_k7_n4(const int8_t *val, const int16_t *out,
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int16_t *sums, int16_t *paths, int norm)
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{
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const int16_t _val[4] = { val[0], val[1], val[2], val[3] };
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_neon_metrics_k7_n4(_val, out, sums, paths, norm);
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}
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