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1 // Auto-generated file. Do not edit!
2 //   Template: src/f32-raddstoreexpminusmax/neon-p5.c.in
3 //   Generator: tools/xngen
4 //
5 // Copyright 2020 Google LLC
6 //
7 // This source code is licensed under the BSD-style license found in the
8 // LICENSE file in the root directory of this source tree.
9 
10 #include <assert.h>
11 
12 #include <arm_neon.h>
13 
14 #include <xnnpack/common.h>
15 #include <xnnpack/raddstoreexpminusmax.h>
16 
17 
xnn_f32_raddstoreexpminusmax_ukernel__neonfma_rr1_p5_x12(size_t elements,const float * input,const float * max,float * output,float * sum,const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS (1)])18 void xnn_f32_raddstoreexpminusmax_ukernel__neonfma_rr1_p5_x12(
19     size_t elements,
20     const float* input,
21     const float* max,
22     float* output,
23     float* sum,
24     const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
25 {
26   assert(elements % sizeof(float) == 0);
27 
28   const float32x4_t vi_max = vld1q_dup_f32(max);
29   const float32x4_t vlog2e = vld1q_dup_f32(&params->neonfma_rr1_p5.log2e);
30   const float32x4_t vmagic_bias = vld1q_dup_f32(&params->neonfma_rr1_p5.magic_bias);
31   const float32x4_t vminus_ln2 = vld1q_dup_f32(&params->neonfma_rr1_p5.minus_ln2);
32   const float32x4_t vc5 = vld1q_dup_f32(&params->neonfma_rr1_p5.c5);
33   const float32x4_t vc4 = vld1q_dup_f32(&params->neonfma_rr1_p5.c4);
34   const float32x4_t vc3 = vld1q_dup_f32(&params->neonfma_rr1_p5.c3);
35   const float32x4_t vc2 = vld1q_dup_f32(&params->neonfma_rr1_p5.c2);
36   const float32x4_t vc1 = vld1q_dup_f32(&params->neonfma_rr1_p5.c1);
37   const float32x4_t vdenorm_cutoff = vld1q_dup_f32(&params->neonfma_rr1_p5.denorm_cutoff);
38 
39   float32x4_t vacc0 = vmovq_n_f32(0.0f);
40   for (; elements >= 12 * sizeof(float); elements -= 12 * sizeof(float)) {
41     const float32x4_t vi0123 = vld1q_f32(input); input += 4;
42     const float32x4_t vi4567 = vld1q_f32(input); input += 4;
43     const float32x4_t vi89AB = vld1q_f32(input); input += 4;
44 
45     const float32x4_t vx0123 = vsubq_f32(vi0123, vi_max);
46     const float32x4_t vx4567 = vsubq_f32(vi4567, vi_max);
47     const float32x4_t vx89AB = vsubq_f32(vi89AB, vi_max);
48 
49     float32x4_t vn0123 = vfmaq_f32(vmagic_bias, vx0123, vlog2e);
50     float32x4_t vn4567 = vfmaq_f32(vmagic_bias, vx4567, vlog2e);
51     float32x4_t vn89AB = vfmaq_f32(vmagic_bias, vx89AB, vlog2e);
52 
53     const float32x4_t vs0123 = vreinterpretq_f32_s32(vshlq_n_s32(vreinterpretq_s32_f32(vn0123), 23));
54     const float32x4_t vs4567 = vreinterpretq_f32_s32(vshlq_n_s32(vreinterpretq_s32_f32(vn4567), 23));
55     const float32x4_t vs89AB = vreinterpretq_f32_s32(vshlq_n_s32(vreinterpretq_s32_f32(vn89AB), 23));
56 
57     vn0123 = vsubq_f32(vn0123, vmagic_bias);
58     vn4567 = vsubq_f32(vn4567, vmagic_bias);
59     vn89AB = vsubq_f32(vn89AB, vmagic_bias);
60 
61     float32x4_t vt0123 = vfmaq_f32(vx0123, vn0123, vminus_ln2);
62     float32x4_t vt4567 = vfmaq_f32(vx4567, vn4567, vminus_ln2);
63     float32x4_t vt89AB = vfmaq_f32(vx89AB, vn89AB, vminus_ln2);
64 
65     float32x4_t vp0123 = vfmaq_f32(vc4, vc5, vt0123);
66     float32x4_t vp4567 = vfmaq_f32(vc4, vc5, vt4567);
67     float32x4_t vp89AB = vfmaq_f32(vc4, vc5, vt89AB);
68 
69     vp0123 = vfmaq_f32(vc3, vp0123, vt0123);
70     vp4567 = vfmaq_f32(vc3, vp4567, vt4567);
71     vp89AB = vfmaq_f32(vc3, vp89AB, vt89AB);
72 
73     vp0123 = vfmaq_f32(vc2, vp0123, vt0123);
74     vp4567 = vfmaq_f32(vc2, vp4567, vt4567);
75     vp89AB = vfmaq_f32(vc2, vp89AB, vt89AB);
76 
77     vp0123 = vfmaq_f32(vc1, vp0123, vt0123);
78     vp4567 = vfmaq_f32(vc1, vp4567, vt4567);
79     vp89AB = vfmaq_f32(vc1, vp89AB, vt89AB);
80 
81     vt0123 = vmulq_f32(vt0123, vs0123);
82     vt4567 = vmulq_f32(vt4567, vs4567);
83     vt89AB = vmulq_f32(vt89AB, vs89AB);
84 
85     float32x4_t vf0123 = vfmaq_f32(vs0123, vp0123, vt0123);
86     float32x4_t vf4567 = vfmaq_f32(vs4567, vp4567, vt4567);
87     float32x4_t vf89AB = vfmaq_f32(vs89AB, vp89AB, vt89AB);
88 
89     vf0123 = vreinterpretq_f32_u32(vbicq_u32(vreinterpretq_u32_f32(vf0123), vcltq_f32(vx0123, vdenorm_cutoff)));
90     vf4567 = vreinterpretq_f32_u32(vbicq_u32(vreinterpretq_u32_f32(vf4567), vcltq_f32(vx4567, vdenorm_cutoff)));
91     vf89AB = vreinterpretq_f32_u32(vbicq_u32(vreinterpretq_u32_f32(vf89AB), vcltq_f32(vx89AB, vdenorm_cutoff)));
92 
93     vst1q_f32(output, vf0123); output += 4;
94     vst1q_f32(output, vf4567); output += 4;
95     vst1q_f32(output, vf89AB); output += 4;
96 
97     vacc0 = vaddq_f32(vacc0, vf0123);
98     vacc0 = vaddq_f32(vacc0, vf4567);
99     vacc0 = vaddq_f32(vacc0, vf89AB);
100   }
101 
102   float32x4_t vacc = vacc0;
103   for (; elements >= 4 * sizeof(float); elements -= 4 * sizeof(float)) {
104     const float32x4_t vi = vld1q_f32(input); input += 4;
105 
106     const float32x4_t vx = vsubq_f32(vi, vi_max);
107 
108     float32x4_t vn = vfmaq_f32(vmagic_bias, vx, vlog2e);
109 
110     const float32x4_t vs = vreinterpretq_f32_s32(vshlq_n_s32(vreinterpretq_s32_f32(vn), 23));
111 
112     vn = vsubq_f32(vn, vmagic_bias);
113 
114     float32x4_t vt = vfmaq_f32(vx, vn, vminus_ln2);
115 
116     float32x4_t vp = vfmaq_f32(vc4, vc5, vt);
117     vp = vfmaq_f32(vc3, vp, vt);
118     vp = vfmaq_f32(vc2, vp, vt);
119     vp = vfmaq_f32(vc1, vp, vt);
120 
121     vt = vmulq_f32(vt, vs);
122     float32x4_t vf = vfmaq_f32(vs, vp, vt);
123 
124     vf = vreinterpretq_f32_u32(vbicq_u32(vreinterpretq_u32_f32(vf), vcltq_f32(vx, vdenorm_cutoff)));
125 
126     vst1q_f32(output, vf); output += 4;
127 
128     vacc = vaddq_f32(vacc, vf);
129   }
130 #if XNN_ARCH_ARM64
131   float vacc_lo = vaddvq_f32(vacc);
132 #else
133   float32x2_t vacc_lo = vadd_f32(vget_high_f32(vacc), vget_low_f32(vacc));
134 #endif
135   if (elements != 0) {
136     assert(elements >= 1 * sizeof(float));
137     assert(elements <= 3 * sizeof(float));
138     const float32x4_t vi = vld1q_f32(input); input += 4;
139 
140     const float32x4_t vx = vsubq_f32(vi, vi_max);
141 
142     float32x4_t vn = vfmaq_f32(vmagic_bias, vx, vlog2e);
143 
144     const float32x4_t vs = vreinterpretq_f32_s32(vshlq_n_s32(vreinterpretq_s32_f32(vn), 23));
145 
146     vn = vsubq_f32(vn, vmagic_bias);
147 
148     float32x4_t vt = vfmaq_f32(vx, vn, vminus_ln2);
149 
150     float32x4_t vp = vfmaq_f32(vc4, vc5, vt);
151     vp = vfmaq_f32(vc3, vp, vt);
152     vp = vfmaq_f32(vc2, vp, vt);
153     vp = vfmaq_f32(vc1, vp, vt);
154 
155     vt = vmulq_f32(vt, vs);
156     float32x4_t vf = vfmaq_f32(vs, vp, vt);
157 
158     vf = vreinterpretq_f32_u32(vbicq_u32(vreinterpretq_u32_f32(vf), vcltq_f32(vx, vdenorm_cutoff)));
159 
160     float32x2_t vf_lo = vget_low_f32(vf);
161     if (elements & (2 * sizeof(float))) {
162       vst1_f32(output, vf_lo); output += 2;
163 
164       #if XNN_ARCH_ARM64
165         vacc_lo += vaddv_f32(vf_lo);
166       #else
167         vacc_lo = vadd_f32(vacc_lo, vf_lo);
168       #endif
169 
170       vf_lo = vget_high_f32(vf);
171     }
172     if (elements & (1 * sizeof(float))) {
173       vst1_lane_f32(output, vf_lo, 0);
174 
175       #if XNN_ARCH_ARM64
176         vacc_lo += vget_lane_f32(vf_lo, 0);
177       #else
178         vacc_lo = vadd_f32(vacc_lo, vreinterpret_f32_u64(vshl_n_u64(vreinterpret_u64_f32(vf_lo), 32)));
179       #endif
180     }
181   }
182 #if XNN_ARCH_ARM64
183   *sum = vacc_lo;
184 #else
185   vst1_lane_f32(sum, vpadd_f32(vacc_lo, vacc_lo), 0);
186 #endif
187 }
188