1 // Auto-generated file. Do not edit!
2 // Template: src/f32-raddexpminusmax/avx512f-p5-scalef.c.in
3 // Generator: tools/xngen
4 //
5 // Copyright 2019 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 <immintrin.h>
13
14 #include <xnnpack/intrinsics-polyfill.h>
15 #include <xnnpack/raddexpminusmax.h>
16
17
xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_x160_acc5(size_t elements,const float * input,float * sum,float max)18 void xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_x160_acc5(
19 size_t elements,
20 const float* input,
21 float* sum,
22 float max)
23 {
24 assert(elements % sizeof(float) == 0);
25
26 const __m512 vlog2e = _mm512_set1_ps(0x1.715476p+0f);
27 const __m512 vminus_ln2_hi = _mm512_set1_ps(-0x1.62E43p-1f);
28 const __m512 vminus_ln2_lo = _mm512_set1_ps(0x1.05C61p-29f);
29
30 const __m512 vc0 = _mm512_set1_ps(1.0f);
31 const __m512 vc1 = _mm512_set1_ps(0x1.FFFFF6p-1f);
32 const __m512 vc2 = _mm512_set1_ps(0x1.FFFDC6p-2f);
33 const __m512 vc3 = _mm512_set1_ps(0x1.555A80p-3f);
34 const __m512 vc4 = _mm512_set1_ps(0x1.573A1Ap-5f);
35 const __m512 vc5 = _mm512_set1_ps(0x1.0F9F9Cp-7f);
36
37 const __m512 vi_max = _mm512_set1_ps(max);
38
39 __m512 vacc0 = _mm512_setzero_ps();
40 __m512 vacc1 = _mm512_setzero_ps();
41 __m512 vacc2 = _mm512_setzero_ps();
42 __m512 vacc3 = _mm512_setzero_ps();
43 __m512 vacc4 = _mm512_setzero_ps();
44 for (; elements >= 160 * sizeof(float); elements -= 160 * sizeof(float)) {
45 // Load 160 (10x16) inputs at a time.
46 const __m512 vi0 = _mm512_loadu_ps(input);
47 const __m512 vi1 = _mm512_loadu_ps(input + 16);
48 const __m512 vi2 = _mm512_loadu_ps(input + 32);
49 const __m512 vi3 = _mm512_loadu_ps(input + 48);
50 const __m512 vi4 = _mm512_loadu_ps(input + 64);
51 const __m512 vi5 = _mm512_loadu_ps(input + 80);
52 const __m512 vi6 = _mm512_loadu_ps(input + 96);
53 const __m512 vi7 = _mm512_loadu_ps(input + 112);
54 const __m512 vi8 = _mm512_loadu_ps(input + 128);
55 const __m512 vi9 = _mm512_loadu_ps(input + 144);
56 input += 160;
57
58 // Subtract maximum input x := i - i_max.
59 const __m512 vx0 = _mm512_sub_ps(vi0, vi_max);
60 const __m512 vx1 = _mm512_sub_ps(vi1, vi_max);
61 const __m512 vx2 = _mm512_sub_ps(vi2, vi_max);
62 const __m512 vx3 = _mm512_sub_ps(vi3, vi_max);
63 const __m512 vx4 = _mm512_sub_ps(vi4, vi_max);
64 const __m512 vx5 = _mm512_sub_ps(vi5, vi_max);
65 const __m512 vx6 = _mm512_sub_ps(vi6, vi_max);
66 const __m512 vx7 = _mm512_sub_ps(vi7, vi_max);
67 const __m512 vx8 = _mm512_sub_ps(vi8, vi_max);
68 const __m512 vx9 = _mm512_sub_ps(vi9, vi_max);
69
70 // Compute reduced argument elements := round(x / log(2)).
71 const __m512 vn0 = _mm512_roundscale_ps(_mm512_mul_ps(vx0, vlog2e), 0);
72 const __m512 vn1 = _mm512_roundscale_ps(_mm512_mul_ps(vx1, vlog2e), 0);
73 const __m512 vn2 = _mm512_roundscale_ps(_mm512_mul_ps(vx2, vlog2e), 0);
74 const __m512 vn3 = _mm512_roundscale_ps(_mm512_mul_ps(vx3, vlog2e), 0);
75 const __m512 vn4 = _mm512_roundscale_ps(_mm512_mul_ps(vx4, vlog2e), 0);
76 const __m512 vn5 = _mm512_roundscale_ps(_mm512_mul_ps(vx5, vlog2e), 0);
77 const __m512 vn6 = _mm512_roundscale_ps(_mm512_mul_ps(vx6, vlog2e), 0);
78 const __m512 vn7 = _mm512_roundscale_ps(_mm512_mul_ps(vx7, vlog2e), 0);
79 const __m512 vn8 = _mm512_roundscale_ps(_mm512_mul_ps(vx8, vlog2e), 0);
80 const __m512 vn9 = _mm512_roundscale_ps(_mm512_mul_ps(vx9, vlog2e), 0);
81
82 // Compute reduced argument t := x - elements * log(2).
83 // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
84 __m512 vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_hi, vx0);
85 __m512 vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_hi, vx1);
86 __m512 vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_hi, vx2);
87 __m512 vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_hi, vx3);
88 __m512 vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_hi, vx4);
89 __m512 vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_hi, vx5);
90 __m512 vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_hi, vx6);
91 __m512 vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_hi, vx7);
92 __m512 vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_hi, vx8);
93 __m512 vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_hi, vx9);
94
95 vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_lo, vt0);
96 vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_lo, vt1);
97 vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_lo, vt2);
98 vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_lo, vt3);
99 vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_lo, vt4);
100 vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_lo, vt5);
101 vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_lo, vt6);
102 vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_lo, vt7);
103 vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_lo, vt8);
104 vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_lo, vt9);
105
106 // Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
107 __m512 vp0 = _mm512_fmadd_ps(vc5, vt0, vc4);
108 __m512 vp1 = _mm512_fmadd_ps(vc5, vt1, vc4);
109 __m512 vp2 = _mm512_fmadd_ps(vc5, vt2, vc4);
110 __m512 vp3 = _mm512_fmadd_ps(vc5, vt3, vc4);
111 __m512 vp4 = _mm512_fmadd_ps(vc5, vt4, vc4);
112 __m512 vp5 = _mm512_fmadd_ps(vc5, vt5, vc4);
113 __m512 vp6 = _mm512_fmadd_ps(vc5, vt6, vc4);
114 __m512 vp7 = _mm512_fmadd_ps(vc5, vt7, vc4);
115 __m512 vp8 = _mm512_fmadd_ps(vc5, vt8, vc4);
116 __m512 vp9 = _mm512_fmadd_ps(vc5, vt9, vc4);
117
118 vp0 = _mm512_fmadd_ps(vp0, vt0, vc3);
119 vp1 = _mm512_fmadd_ps(vp1, vt1, vc3);
120 vp2 = _mm512_fmadd_ps(vp2, vt2, vc3);
121 vp3 = _mm512_fmadd_ps(vp3, vt3, vc3);
122 vp4 = _mm512_fmadd_ps(vp4, vt4, vc3);
123 vp5 = _mm512_fmadd_ps(vp5, vt5, vc3);
124 vp6 = _mm512_fmadd_ps(vp6, vt6, vc3);
125 vp7 = _mm512_fmadd_ps(vp7, vt7, vc3);
126 vp8 = _mm512_fmadd_ps(vp8, vt8, vc3);
127 vp9 = _mm512_fmadd_ps(vp9, vt9, vc3);
128
129 vp0 = _mm512_fmadd_ps(vp0, vt0, vc2);
130 vp1 = _mm512_fmadd_ps(vp1, vt1, vc2);
131 vp2 = _mm512_fmadd_ps(vp2, vt2, vc2);
132 vp3 = _mm512_fmadd_ps(vp3, vt3, vc2);
133 vp4 = _mm512_fmadd_ps(vp4, vt4, vc2);
134 vp5 = _mm512_fmadd_ps(vp5, vt5, vc2);
135 vp6 = _mm512_fmadd_ps(vp6, vt6, vc2);
136 vp7 = _mm512_fmadd_ps(vp7, vt7, vc2);
137 vp8 = _mm512_fmadd_ps(vp8, vt8, vc2);
138 vp9 = _mm512_fmadd_ps(vp9, vt9, vc2);
139
140 vp0 = _mm512_fmadd_ps(vp0, vt0, vc1);
141 vp1 = _mm512_fmadd_ps(vp1, vt1, vc1);
142 vp2 = _mm512_fmadd_ps(vp2, vt2, vc1);
143 vp3 = _mm512_fmadd_ps(vp3, vt3, vc1);
144 vp4 = _mm512_fmadd_ps(vp4, vt4, vc1);
145 vp5 = _mm512_fmadd_ps(vp5, vt5, vc1);
146 vp6 = _mm512_fmadd_ps(vp6, vt6, vc1);
147 vp7 = _mm512_fmadd_ps(vp7, vt7, vc1);
148 vp8 = _mm512_fmadd_ps(vp8, vt8, vc1);
149 vp9 = _mm512_fmadd_ps(vp9, vt9, vc1);
150
151 vp0 = _mm512_fmadd_ps(vp0, vt0, vc0);
152 vp1 = _mm512_fmadd_ps(vp1, vt1, vc0);
153 vp2 = _mm512_fmadd_ps(vp2, vt2, vc0);
154 vp3 = _mm512_fmadd_ps(vp3, vt3, vc0);
155 vp4 = _mm512_fmadd_ps(vp4, vt4, vc0);
156 vp5 = _mm512_fmadd_ps(vp5, vt5, vc0);
157 vp6 = _mm512_fmadd_ps(vp6, vt6, vc0);
158 vp7 = _mm512_fmadd_ps(vp7, vt7, vc0);
159 vp8 = _mm512_fmadd_ps(vp8, vt8, vc0);
160 vp9 = _mm512_fmadd_ps(vp9, vt9, vc0);
161
162 // Reconstruct the final f value:
163 // f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
164 // = 2**elements * p
165 const __m512 vf0 = _mm512_scalef_ps(vp0, vn0);
166 const __m512 vf1 = _mm512_scalef_ps(vp1, vn1);
167 const __m512 vf2 = _mm512_scalef_ps(vp2, vn2);
168 const __m512 vf3 = _mm512_scalef_ps(vp3, vn3);
169 const __m512 vf4 = _mm512_scalef_ps(vp4, vn4);
170 const __m512 vf5 = _mm512_scalef_ps(vp5, vn5);
171 const __m512 vf6 = _mm512_scalef_ps(vp6, vn6);
172 const __m512 vf7 = _mm512_scalef_ps(vp7, vn7);
173 const __m512 vf8 = _mm512_scalef_ps(vp8, vn8);
174 const __m512 vf9 = _mm512_scalef_ps(vp9, vn9);
175
176 // Accumulate computed exponents.
177 vacc0 = _mm512_add_ps(vacc0, vf0);
178 vacc1 = _mm512_add_ps(vacc1, vf1);
179 vacc2 = _mm512_add_ps(vacc2, vf2);
180 vacc3 = _mm512_add_ps(vacc3, vf3);
181 vacc4 = _mm512_add_ps(vacc4, vf4);
182 vacc0 = _mm512_add_ps(vacc0, vf5);
183 vacc1 = _mm512_add_ps(vacc1, vf6);
184 vacc2 = _mm512_add_ps(vacc2, vf7);
185 vacc3 = _mm512_add_ps(vacc3, vf8);
186 vacc4 = _mm512_add_ps(vacc4, vf9);
187 }
188 // Add up all accumulators to vacc0
189 vacc0 = _mm512_add_ps(vacc0, vacc1);
190 vacc2 = _mm512_add_ps(vacc2, vacc3);
191 vacc0 = _mm512_add_ps(vacc0, vacc2);
192 vacc0 = _mm512_add_ps(vacc0, vacc4);
193
194 __m512 vacc = vacc0;
195 for (; elements >= 16 * sizeof(float); elements -= 16 * sizeof(float)) {
196 // Load 16 inputs at a time.
197 const __m512 vi = _mm512_loadu_ps(input);
198 input += 16;
199
200 // Subtract maximum input x := i - i_max.
201 const __m512 vx = _mm512_sub_ps(vi, vi_max);
202
203 // Compute reduced argument elements := round(x / log(2)).
204 const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);
205
206 // Compute reduced argument t := x - elements * log(2).
207 // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
208 __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
209 vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);
210
211 // Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
212 __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
213 vp = _mm512_fmadd_ps(vp, vt, vc3);
214 vp = _mm512_fmadd_ps(vp, vt, vc2);
215 vp = _mm512_fmadd_ps(vp, vt, vc1);
216 vp = _mm512_fmadd_ps(vp, vt, vc0);
217
218 // Reconstruct the final f value:
219 // f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
220 // = 2**elements * p
221 const __m512 vf = _mm512_scalef_ps(vp, vn);
222
223 // Accumulate computed exponents.
224 vacc = _mm512_add_ps(vacc, vf);
225 }
226 if (elements != 0) {
227 // Prepare mask for valid 32-bit elements (depends on elements).
228 elements >>= 2 /* log2(sizeof(float)) */;
229 const __mmask16 vmask = _cvtu32_mask16((uint16_t) ((uint32_t) (UINT32_C(1) << elements) - UINT32_C(1)));
230
231 // Load up to 15 inputs at a time.
232 const __m512 vi = _mm512_maskz_loadu_ps(vmask, input);
233
234 // Subtract maximum input x := i - i_max.
235 const __m512 vx = _mm512_sub_ps(vi, vi_max);
236
237 // Compute reduced argument elements := round(x / log(2)).
238 const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);
239
240 // Compute reduced argument t := x - elements * log(2).
241 // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
242 __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
243 vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);
244
245 // Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
246 __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
247 vp = _mm512_fmadd_ps(vp, vt, vc3);
248 vp = _mm512_fmadd_ps(vp, vt, vc2);
249 vp = _mm512_fmadd_ps(vp, vt, vc1);
250 vp = _mm512_fmadd_ps(vp, vt, vc0);
251
252 // Reconstruct the final f value:
253 // f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
254 // = 2**elements * p
255 const __m512 vf = _mm512_scalef_ps(vp, vn);
256
257 // Accumulate computed exponents.
258 vacc = _mm512_mask_add_ps(vacc, vmask, vacc, vf);
259 }
260 *sum = _mm512_reduce_add_ps(vacc);
261 }
262