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1 // Auto-generated file. Do not edit!
2 //   Template: src/f16-raddstoreexpminusmax/neonfp16arith-rr2-p2.c.in
3 //   Generator: tools/xngen
4 //
5 // Copyright 2022 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_f16_raddstoreexpminusmax_ukernel__neonfp16arith_rr2_p2_x72(size_t batch,const void * input,const void * max,void * output,void * sum,const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS (1)])18 void xnn_f16_raddstoreexpminusmax_ukernel__neonfp16arith_rr2_p2_x72(
19     size_t batch,
20     const void* input,
21     const void* max,
22     void* output,
23     void* sum,
24     const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
25 {
26   assert(batch % sizeof(__fp16) == 0);
27 
28   const float16x8_t vi_max = vld1q_dup_f16(max);
29   const float16x8_t vlog2e = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neonfp16arith_rr2_p2.log2e));
30   const float16x8_t vmagic_bias = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neonfp16arith_rr2_p2.magic_bias));
31   const float16x8_t vminus_ln2_hi = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neonfp16arith_rr2_p2.minus_ln2_hi));
32   const float16x8_t vminus_ln2_lo = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neonfp16arith_rr2_p2.minus_ln2_lo));
33   const float16x8_t vc2 = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neonfp16arith_rr2_p2.c2));
34   const float16x8_t vc1 = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neonfp16arith_rr2_p2.c1));
35   const float16x8_t vdenorm_cutoff = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neonfp16arith_rr2_p2.denorm_cutoff));
36 
37   const __fp16* i = (const __fp16*) input;
38   __fp16* o = (__fp16*) output;
39   float16x8_t vacc0 = vmovq_n_f16(0.0f);
40   for (; batch >= 72 * sizeof(__fp16); batch -= 72 * sizeof(__fp16)) {
41     const float16x8_t vi0 = vld1q_f16(i); i += 8;
42     const float16x8_t vi1 = vld1q_f16(i); i += 8;
43     const float16x8_t vi2 = vld1q_f16(i); i += 8;
44     const float16x8_t vi3 = vld1q_f16(i); i += 8;
45     const float16x8_t vi4 = vld1q_f16(i); i += 8;
46     const float16x8_t vi5 = vld1q_f16(i); i += 8;
47     const float16x8_t vi6 = vld1q_f16(i); i += 8;
48     const float16x8_t vi7 = vld1q_f16(i); i += 8;
49     const float16x8_t vi8 = vld1q_f16(i); i += 8;
50 
51     const float16x8_t vx0 = vsubq_f16(vi0, vi_max);
52     const float16x8_t vx1 = vsubq_f16(vi1, vi_max);
53     const float16x8_t vx2 = vsubq_f16(vi2, vi_max);
54     const float16x8_t vx3 = vsubq_f16(vi3, vi_max);
55     const float16x8_t vx4 = vsubq_f16(vi4, vi_max);
56     const float16x8_t vx5 = vsubq_f16(vi5, vi_max);
57     const float16x8_t vx6 = vsubq_f16(vi6, vi_max);
58     const float16x8_t vx7 = vsubq_f16(vi7, vi_max);
59     const float16x8_t vx8 = vsubq_f16(vi8, vi_max);
60 
61     float16x8_t vn0 = vfmaq_f16(vmagic_bias, vx0, vlog2e);
62     float16x8_t vn1 = vfmaq_f16(vmagic_bias, vx1, vlog2e);
63     float16x8_t vn2 = vfmaq_f16(vmagic_bias, vx2, vlog2e);
64     float16x8_t vn3 = vfmaq_f16(vmagic_bias, vx3, vlog2e);
65     float16x8_t vn4 = vfmaq_f16(vmagic_bias, vx4, vlog2e);
66     float16x8_t vn5 = vfmaq_f16(vmagic_bias, vx5, vlog2e);
67     float16x8_t vn6 = vfmaq_f16(vmagic_bias, vx6, vlog2e);
68     float16x8_t vn7 = vfmaq_f16(vmagic_bias, vx7, vlog2e);
69     float16x8_t vn8 = vfmaq_f16(vmagic_bias, vx8, vlog2e);
70 
71     const float16x8_t vs0 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn0), 10));
72     const float16x8_t vs1 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn1), 10));
73     const float16x8_t vs2 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn2), 10));
74     const float16x8_t vs3 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn3), 10));
75     const float16x8_t vs4 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn4), 10));
76     const float16x8_t vs5 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn5), 10));
77     const float16x8_t vs6 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn6), 10));
78     const float16x8_t vs7 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn7), 10));
79     const float16x8_t vs8 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn8), 10));
80 
81     vn0 = vsubq_f16(vn0, vmagic_bias);
82     vn1 = vsubq_f16(vn1, vmagic_bias);
83     vn2 = vsubq_f16(vn2, vmagic_bias);
84     vn3 = vsubq_f16(vn3, vmagic_bias);
85     vn4 = vsubq_f16(vn4, vmagic_bias);
86     vn5 = vsubq_f16(vn5, vmagic_bias);
87     vn6 = vsubq_f16(vn6, vmagic_bias);
88     vn7 = vsubq_f16(vn7, vmagic_bias);
89     vn8 = vsubq_f16(vn8, vmagic_bias);
90 
91     float16x8_t vt0 = vfmaq_f16(vx0, vn0, vminus_ln2_hi);
92     float16x8_t vt1 = vfmaq_f16(vx1, vn1, vminus_ln2_hi);
93     float16x8_t vt2 = vfmaq_f16(vx2, vn2, vminus_ln2_hi);
94     float16x8_t vt3 = vfmaq_f16(vx3, vn3, vminus_ln2_hi);
95     float16x8_t vt4 = vfmaq_f16(vx4, vn4, vminus_ln2_hi);
96     float16x8_t vt5 = vfmaq_f16(vx5, vn5, vminus_ln2_hi);
97     float16x8_t vt6 = vfmaq_f16(vx6, vn6, vminus_ln2_hi);
98     float16x8_t vt7 = vfmaq_f16(vx7, vn7, vminus_ln2_hi);
99     float16x8_t vt8 = vfmaq_f16(vx8, vn8, vminus_ln2_hi);
100 
101     vt0 = vfmaq_f16(vt0, vn0, vminus_ln2_lo);
102     vt1 = vfmaq_f16(vt1, vn1, vminus_ln2_lo);
103     vt2 = vfmaq_f16(vt2, vn2, vminus_ln2_lo);
104     vt3 = vfmaq_f16(vt3, vn3, vminus_ln2_lo);
105     vt4 = vfmaq_f16(vt4, vn4, vminus_ln2_lo);
106     vt5 = vfmaq_f16(vt5, vn5, vminus_ln2_lo);
107     vt6 = vfmaq_f16(vt6, vn6, vminus_ln2_lo);
108     vt7 = vfmaq_f16(vt7, vn7, vminus_ln2_lo);
109     vt8 = vfmaq_f16(vt8, vn8, vminus_ln2_lo);
110 
111     const float16x8_t vp0 = vfmaq_f16(vc1, vc2, vt0);
112     const float16x8_t vp1 = vfmaq_f16(vc1, vc2, vt1);
113     const float16x8_t vp2 = vfmaq_f16(vc1, vc2, vt2);
114     const float16x8_t vp3 = vfmaq_f16(vc1, vc2, vt3);
115     const float16x8_t vp4 = vfmaq_f16(vc1, vc2, vt4);
116     const float16x8_t vp5 = vfmaq_f16(vc1, vc2, vt5);
117     const float16x8_t vp6 = vfmaq_f16(vc1, vc2, vt6);
118     const float16x8_t vp7 = vfmaq_f16(vc1, vc2, vt7);
119     const float16x8_t vp8 = vfmaq_f16(vc1, vc2, vt8);
120 
121     vt0 = vmulq_f16(vt0, vs0);
122     vt1 = vmulq_f16(vt1, vs1);
123     vt2 = vmulq_f16(vt2, vs2);
124     vt3 = vmulq_f16(vt3, vs3);
125     vt4 = vmulq_f16(vt4, vs4);
126     vt5 = vmulq_f16(vt5, vs5);
127     vt6 = vmulq_f16(vt6, vs6);
128     vt7 = vmulq_f16(vt7, vs7);
129     vt8 = vmulq_f16(vt8, vs8);
130 
131     float16x8_t vf0 = vfmaq_f16(vs0, vp0, vt0);
132     const uint16x8_t vm0 = vcltq_f16(vx0, vdenorm_cutoff);
133     float16x8_t vf1 = vfmaq_f16(vs1, vp1, vt1);
134     const uint16x8_t vm1 = vcltq_f16(vx1, vdenorm_cutoff);
135     float16x8_t vf2 = vfmaq_f16(vs2, vp2, vt2);
136     const uint16x8_t vm2 = vcltq_f16(vx2, vdenorm_cutoff);
137     float16x8_t vf3 = vfmaq_f16(vs3, vp3, vt3);
138     const uint16x8_t vm3 = vcltq_f16(vx3, vdenorm_cutoff);
139     float16x8_t vf4 = vfmaq_f16(vs4, vp4, vt4);
140     const uint16x8_t vm4 = vcltq_f16(vx4, vdenorm_cutoff);
141     float16x8_t vf5 = vfmaq_f16(vs5, vp5, vt5);
142     const uint16x8_t vm5 = vcltq_f16(vx5, vdenorm_cutoff);
143     float16x8_t vf6 = vfmaq_f16(vs6, vp6, vt6);
144     const uint16x8_t vm6 = vcltq_f16(vx6, vdenorm_cutoff);
145     float16x8_t vf7 = vfmaq_f16(vs7, vp7, vt7);
146     const uint16x8_t vm7 = vcltq_f16(vx7, vdenorm_cutoff);
147     float16x8_t vf8 = vfmaq_f16(vs8, vp8, vt8);
148     const uint16x8_t vm8 = vcltq_f16(vx8, vdenorm_cutoff);
149 
150     vf0 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf0), vm0));
151     vf1 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf1), vm1));
152     vf2 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf2), vm2));
153     vf3 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf3), vm3));
154     vf4 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf4), vm4));
155     vf5 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf5), vm5));
156     vf6 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf6), vm6));
157     vf7 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf7), vm7));
158     vf8 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf8), vm8));
159 
160     vst1q_f16(o, vf0); o += 8;
161     vst1q_f16(o, vf1); o += 8;
162     vst1q_f16(o, vf2); o += 8;
163     vst1q_f16(o, vf3); o += 8;
164     vst1q_f16(o, vf4); o += 8;
165     vst1q_f16(o, vf5); o += 8;
166     vst1q_f16(o, vf6); o += 8;
167     vst1q_f16(o, vf7); o += 8;
168     vst1q_f16(o, vf8); o += 8;
169 
170     vacc0 = vaddq_f16(vacc0, vf0);
171     vacc0 = vaddq_f16(vacc0, vf1);
172     vacc0 = vaddq_f16(vacc0, vf2);
173     vacc0 = vaddq_f16(vacc0, vf3);
174     vacc0 = vaddq_f16(vacc0, vf4);
175     vacc0 = vaddq_f16(vacc0, vf5);
176     vacc0 = vaddq_f16(vacc0, vf6);
177     vacc0 = vaddq_f16(vacc0, vf7);
178     vacc0 = vaddq_f16(vacc0, vf8);
179   }
180 
181   float16x8_t vacc = vacc0;
182   for (; batch >= 8 * sizeof(__fp16); batch -= 8 * sizeof(__fp16)) {
183     const float16x8_t vi = vld1q_f16(i); i += 8;
184 
185     const float16x8_t vx = vsubq_f16(vi, vi_max);
186 
187     float16x8_t vn = vfmaq_f16(vmagic_bias, vx, vlog2e);
188     const float16x8_t vs = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn), 10));
189     vn = vsubq_f16(vn, vmagic_bias);
190 
191     float16x8_t vt = vfmaq_f16(vx, vn, vminus_ln2_hi);
192     vt = vfmaq_f16(vt, vn, vminus_ln2_lo);
193 
194     const float16x8_t vp = vfmaq_f16(vc1, vc2, vt);
195     vt = vmulq_f16(vt, vs);
196 
197     float16x8_t vf = vfmaq_f16(vs, vp, vt);
198     const uint16x8_t vm = vcltq_f16(vx, vdenorm_cutoff);
199     vf = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf), vm));
200 
201     vst1q_f16(o, vf); o += 8;
202 
203     vacc = vaddq_f16(vacc, vf);
204   }
205   float16x4_t vacc_lo = vadd_f16(vget_low_f16(vacc), vget_high_f16(vacc));
206   if (batch != 0) {
207     assert(batch >= 1 * sizeof(__fp16));
208     assert(batch <= 7 * sizeof(__fp16));
209     const float16x8_t vi = vld1q_f16(i);
210 
211     const float16x8_t vx = vsubq_f16(vi, vi_max);
212 
213     float16x8_t vn = vfmaq_f16(vmagic_bias, vx, vlog2e);
214     const float16x8_t vs = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn), 10));
215     vn = vsubq_f16(vn, vmagic_bias);
216 
217     float16x8_t vt = vfmaq_f16(vx, vn, vminus_ln2_hi);
218     vt = vfmaq_f16(vt, vn, vminus_ln2_lo);
219 
220     const float16x8_t vp = vfmaq_f16(vc1, vc2, vt);
221     vt = vmulq_f16(vt, vs);
222 
223     float16x8_t vf = vfmaq_f16(vs, vp, vt);
224     const uint16x8_t vm = vcltq_f16(vx, vdenorm_cutoff);
225     vf = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf), vm));
226 
227     float16x4_t vf_lo = vget_low_f16(vf);
228     if (batch & (4 * sizeof(__fp16))) {
229       vst1_f16(o, vf_lo); o += 4;
230       vacc_lo = vadd_f16(vacc_lo, vf_lo);
231       vf_lo = vget_high_f16(vf);
232     }
233     if (batch & (2 * sizeof(__fp16))) {
234       vst1_lane_u32((void*) o, vreinterpret_u32_f16(vf_lo), 0); o += 2;
235       vacc_lo = vadd_f16(vacc_lo, vreinterpret_f16_u64(vshl_n_u64(vreinterpret_u64_f16(vf_lo), 32)));
236       vf_lo = vext_f16(vf_lo, vf_lo, 2);
237     }
238     if (batch & (1 * sizeof(__fp16))) {
239       vst1_lane_f16(o, vf_lo, 0);
240       vacc_lo = vadd_f16(vacc_lo, vreinterpret_f16_u64(vshl_n_u64(vreinterpret_u64_f16(vf_lo), 48)));
241     }
242   }
243   vacc_lo = vpadd_f16(vacc_lo, vacc_lo);
244   *((__fp16*) sum) = vget_lane_f16(vacc_lo, 0) + vget_lane_f16(vacc_lo, 1);
245 }
246