25#ifndef __always_inline
26#define __always_inline inline __attribute__((always_inline))
29#define NEON_BUTTERFLY(M0,M1,M2,M3,M4) \
31 M3 = vqaddq_s16(M0, M2); \
32 M4 = vqsubq_s16(M1, M2); \
33 M0 = vqsubq_s16(M0, M2); \
34 M1 = vqaddq_s16(M1, M2); \
35 M2 = vmaxq_s16(M3, M4); \
36 M3 = vreinterpretq_s16_u16(vcgtq_s16(M3, M4)); \
37 M4 = vmaxq_s16(M0, M1); \
38 M1 = vreinterpretq_s16_u16(vcgtq_s16(M0, M1)); \
41#define NEON_DEINTERLEAVE_K5(M0,M1,M2,M3) \
44 tmp = vuzpq_s16(M0, M1); \
49#define NEON_DEINTERLEAVE_K7(M0,M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11,M12,M13,M14,M15) \
52 tmp = vuzpq_s16(M0, M1); \
53 M8 = tmp.val[0]; M9 = tmp.val[1]; \
54 tmp = vuzpq_s16(M2, M3); \
55 M10 = tmp.val[0]; M11 = tmp.val[1]; \
56 tmp = vuzpq_s16(M4, M5); \
57 M12 = tmp.val[0]; M13 = tmp.val[1]; \
58 tmp = vuzpq_s16(M6, M7); \
59 M14 = tmp.val[0]; M15 = tmp.val[1]; \
62#define NEON_BRANCH_METRIC_N2(M0,M1,M2,M3,M4,M6,M7) \
64 M0 = vmulq_s16(M4, M0); \
65 M1 = vmulq_s16(M4, M1); \
66 M2 = vmulq_s16(M4, M2); \
67 M3 = vmulq_s16(M4, M3); \
68 M6 = vcombine_s16(vpadd_s16(vget_low_s16(M0), vget_high_s16(M0)), vpadd_s16(vget_low_s16(M1), vget_high_s16(M1))); \
69 M7 = vcombine_s16(vpadd_s16(vget_low_s16(M2), vget_high_s16(M2)), vpadd_s16(vget_low_s16(M3), vget_high_s16(M3))); \
72#define NEON_BRANCH_METRIC_N4(M0,M1,M2,M3,M4,M5) \
74 M0 = vmulq_s16(M4, M0); \
75 M1 = vmulq_s16(M4, M1); \
76 M2 = vmulq_s16(M4, M2); \
77 M3 = vmulq_s16(M4, M3); \
78 int16x4_t t1 = vpadd_s16(vpadd_s16(vget_low_s16(M0), vget_high_s16(M0)), vpadd_s16(vget_low_s16(M1), vget_high_s16(M1))); \
79 int16x4_t t2 = vpadd_s16(vpadd_s16(vget_low_s16(M2), vget_high_s16(M2)), vpadd_s16(vget_low_s16(M3), vget_high_s16(M3))); \
80 M5 = vcombine_s16(t1, t2); \
83#define NEON_NORMALIZE_K5(M0,M1,M2,M3) \
85 M2 = vminq_s16(M0, M1); \
86 int16x4_t t = vpmin_s16(vget_low_s16(M2), vget_high_s16(M2)); \
87 t = vpmin_s16(t, t); \
88 t = vpmin_s16(t, t); \
89 M2 = vdupq_lane_s16(t, 0); \
90 M0 = vqsubq_s16(M0, M2); \
91 M1 = vqsubq_s16(M1, M2); \
94#define NEON_NORMALIZE_K7(M0,M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11) \
96 M8 = vminq_s16(M0, M1); \
97 M9 = vminq_s16(M2, M3); \
98 M10 = vminq_s16(M4, M5); \
99 M11 = vminq_s16(M6, M7); \
100 M8 = vminq_s16(M8, M9); \
101 M10 = vminq_s16(M10, M11); \
102 M8 = vminq_s16(M8, M10); \
103 int16x4_t t = vpmin_s16(vget_low_s16(M8), vget_high_s16(M8)); \
104 t = vpmin_s16(t, t); \
105 t = vpmin_s16(t, t); \
106 M8 = vdupq_lane_s16(t, 0); \
107 M0 = vqsubq_s16(M0, M8); \
108 M1 = vqsubq_s16(M1, M8); \
109 M2 = vqsubq_s16(M2, M8); \
110 M3 = vqsubq_s16(M3, M8); \
111 M4 = vqsubq_s16(M4, M8); \
112 M5 = vqsubq_s16(M5, M8); \
113 M6 = vqsubq_s16(M6, M8); \
114 M7 = vqsubq_s16(M7, M8); \
120 int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
121 int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
122 int16x8_t m0, m1, m2, m3, m4, m5, m6;
126 input = vld1_s16(val);
127 m2 = vcombine_s16(input, input);
130 m0 = vld1q_s16(&out[0]);
131 m1 = vld1q_s16(&out[8]);
133 m0 = vmulq_s16(m2, m0);
134 m1 = vmulq_s16(m2, m1);
135 m2 = vcombine_s16(vpadd_s16(vget_low_s16(m0), vget_high_s16(m0)),
136 vpadd_s16(vget_low_s16(m1), vget_high_s16(m1)));
139 m0 = vld1q_s16(&sums[0]);
140 m1 = vld1q_s16(&sums[8]);
150 vst1q_s16(&sums[0], m2);
151 vst1q_s16(&sums[8], m6);
152 vst1q_s16(&paths[0], m5);
153 vst1q_s16(&paths[8], m4);
159 int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
160 int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
161 int16x8_t m0, m1, m2, m3, m4, m5, m6;
165 input = vld1_s16(val);
166 m4 = vcombine_s16(input, input);
169 m0 = vld1q_s16(&out[0]);
170 m1 = vld1q_s16(&out[8]);
171 m2 = vld1q_s16(&out[16]);
172 m3 = vld1q_s16(&out[24]);
177 m0 = vld1q_s16(&sums[0]);
178 m1 = vld1q_s16(&sums[8]);
188 vst1q_s16(&sums[0], m2);
189 vst1q_s16(&sums[8], m6);
190 vst1q_s16(&paths[0], m5);
191 vst1q_s16(&paths[8], m4);
197 int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
198 int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
199 int16x8_t m0, m1, m2, m3, m4, m5, m6, m7;
200 int16x8_t m8, m9, m10, m11, m12, m13, m14, m15;
204 m0 = vld1q_s16(&sums[0]);
205 m1 = vld1q_s16(&sums[8]);
206 m2 = vld1q_s16(&sums[16]);
207 m3 = vld1q_s16(&sums[24]);
208 m4 = vld1q_s16(&sums[32]);
209 m5 = vld1q_s16(&sums[40]);
210 m6 = vld1q_s16(&sums[48]);
211 m7 = vld1q_s16(&sums[56]);
214 NEON_DEINTERLEAVE_K7(m0, m1, m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15)
217 input = vld1_s16(val);
218 m7 = vcombine_s16(input, input);
221 m0 = vld1q_s16(&out[0]);
222 m1 = vld1q_s16(&out[8]);
223 m2 = vld1q_s16(&out[16]);
224 m3 = vld1q_s16(&out[24]);
228 m0 = vld1q_s16(&out[32]);
229 m1 = vld1q_s16(&out[40]);
230 m2 = vld1q_s16(&out[48]);
231 m3 = vld1q_s16(&out[56]);
239 vst1q_s16(&paths[0], m0);
240 vst1q_s16(&paths[8], m2);
241 vst1q_s16(&paths[32], m9);
242 vst1q_s16(&paths[40], m11);
248 vst1q_s16(&paths[16], m0);
249 vst1q_s16(&paths[24], m9);
250 vst1q_s16(&paths[48], m13);
251 vst1q_s16(&paths[56], m15);
254 NEON_NORMALIZE_K7(m4, m1, m5, m3, m6, m2, m7, m11, m0, m8, m9, m10)
256 vst1q_s16(&sums[0], m4);
257 vst1q_s16(&sums[8], m5);
258 vst1q_s16(&sums[16], m6);
259 vst1q_s16(&sums[24], m7);
260 vst1q_s16(&sums[32], m1);
261 vst1q_s16(&sums[40], m3);
262 vst1q_s16(&sums[48], m2);
263 vst1q_s16(&sums[56], m11);
269 int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
270 int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
271 int16x8_t m0, m1, m2, m3, m4, m5, m6, m7;
272 int16x8_t m8, m9, m10, m11, m12, m13, m14, m15;
276 m0 = vld1q_s16(&sums[0]);
277 m1 = vld1q_s16(&sums[8]);
278 m2 = vld1q_s16(&sums[16]);
279 m3 = vld1q_s16(&sums[24]);
280 m4 = vld1q_s16(&sums[32]);
281 m5 = vld1q_s16(&sums[40]);
282 m6 = vld1q_s16(&sums[48]);
283 m7 = vld1q_s16(&sums[56]);
286 NEON_DEINTERLEAVE_K7(m0, m1, m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15)
289 input = vld1_s16(val);
290 m7 = vcombine_s16(input, input);
293 m0 = vld1q_s16(&out[0]);
294 m1 = vld1q_s16(&out[8]);
295 m2 = vld1q_s16(&out[16]);
296 m3 = vld1q_s16(&out[24]);
300 m0 = vld1q_s16(&out[32]);
301 m1 = vld1q_s16(&out[40]);
302 m2 = vld1q_s16(&out[48]);
303 m3 = vld1q_s16(&out[56]);
307 m0 = vld1q_s16(&out[64]);
308 m1 = vld1q_s16(&out[72]);
309 m2 = vld1q_s16(&out[80]);
310 m3 = vld1q_s16(&out[88]);
314 m0 = vld1q_s16(&out[96]);
315 m1 = vld1q_s16(&out[104]);
316 m2 = vld1q_s16(&out[112]);
317 m3 = vld1q_s16(&out[120]);
325 vst1q_s16(&paths[0], m0);
326 vst1q_s16(&paths[8], m2);
327 vst1q_s16(&paths[32], m9);
328 vst1q_s16(&paths[40], m11);
334 vst1q_s16(&paths[16], m0);
335 vst1q_s16(&paths[24], m9);
336 vst1q_s16(&paths[48], m13);
337 vst1q_s16(&paths[56], m15);
340 NEON_NORMALIZE_K7(m4, m1, m5, m3, m6, m2, m7, m11, m0, m8, m9, m10)
342 vst1q_s16(&sums[0], m4);
343 vst1q_s16(&sums[8], m5);
344 vst1q_s16(&sums[16], m6);
345 vst1q_s16(&sums[24], m7);
346 vst1q_s16(&sums[32], m1);
347 vst1q_s16(&sums[40], m3);
348 vst1q_s16(&sums[48], m2);
349 vst1q_s16(&sums[56], m11);
__always_inline void _neon_metrics_k5_n2(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths, int norm)
Definition: conv_acc_neon_impl.h:117
#define NEON_DEINTERLEAVE_K7(M0, M1, M2, M3, M4, M5, M6, M7, M8, M9, M10, M11, M12, M13, M14, M15)
Definition: conv_acc_neon_impl.h:49
#define NEON_BUTTERFLY(M0, M1, M2, M3, M4)
Definition: conv_acc_neon_impl.h:29
#define NEON_NORMALIZE_K7(M0, M1, M2, M3, M4, M5, M6, M7, M8, M9, M10, M11)
Definition: conv_acc_neon_impl.h:94
#define NEON_NORMALIZE_K5(M0, M1, M2, M3)
Definition: conv_acc_neon_impl.h:83
#define __always_inline
Definition: conv_acc_neon_impl.h:26
#define NEON_BRANCH_METRIC_N2(M0, M1, M2, M3, M4, M6, M7)
Definition: conv_acc_neon_impl.h:62
#define NEON_BRANCH_METRIC_N4(M0, M1, M2, M3, M4, M5)
Definition: conv_acc_neon_impl.h:72
#define NEON_DEINTERLEAVE_K5(M0, M1, M2, M3)
Definition: conv_acc_neon_impl.h:41
static __always_inline void _neon_metrics_k7_n2(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths, int norm)
Definition: conv_acc_neon_impl.h:194
__always_inline void _neon_metrics_k5_n4(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths, int norm)
Definition: conv_acc_neon_impl.h:156
static __always_inline void _neon_metrics_k7_n4(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths, int norm)
Definition: conv_acc_neon_impl.h:266