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_x192(size_t elements,const float * input,float * sum,float max)18 void xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_x192(
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 for (; elements >= 192 * sizeof(float); elements -= 192 * sizeof(float)) {
41 // Load 192 (12x16) inputs at a time.
42 const __m512 vi0 = _mm512_loadu_ps(input);
43 const __m512 vi1 = _mm512_loadu_ps(input + 16);
44 const __m512 vi2 = _mm512_loadu_ps(input + 32);
45 const __m512 vi3 = _mm512_loadu_ps(input + 48);
46 const __m512 vi4 = _mm512_loadu_ps(input + 64);
47 const __m512 vi5 = _mm512_loadu_ps(input + 80);
48 const __m512 vi6 = _mm512_loadu_ps(input + 96);
49 const __m512 vi7 = _mm512_loadu_ps(input + 112);
50 const __m512 vi8 = _mm512_loadu_ps(input + 128);
51 const __m512 vi9 = _mm512_loadu_ps(input + 144);
52 const __m512 vi10 = _mm512_loadu_ps(input + 160);
53 const __m512 vi11 = _mm512_loadu_ps(input + 176);
54 input += 192;
55
56 // Subtract maximum input x := i - i_max.
57 const __m512 vx0 = _mm512_sub_ps(vi0, vi_max);
58 const __m512 vx1 = _mm512_sub_ps(vi1, vi_max);
59 const __m512 vx2 = _mm512_sub_ps(vi2, vi_max);
60 const __m512 vx3 = _mm512_sub_ps(vi3, vi_max);
61 const __m512 vx4 = _mm512_sub_ps(vi4, vi_max);
62 const __m512 vx5 = _mm512_sub_ps(vi5, vi_max);
63 const __m512 vx6 = _mm512_sub_ps(vi6, vi_max);
64 const __m512 vx7 = _mm512_sub_ps(vi7, vi_max);
65 const __m512 vx8 = _mm512_sub_ps(vi8, vi_max);
66 const __m512 vx9 = _mm512_sub_ps(vi9, vi_max);
67 const __m512 vx10 = _mm512_sub_ps(vi10, vi_max);
68 const __m512 vx11 = _mm512_sub_ps(vi11, 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 const __m512 vn10 = _mm512_roundscale_ps(_mm512_mul_ps(vx10, vlog2e), 0);
82 const __m512 vn11 = _mm512_roundscale_ps(_mm512_mul_ps(vx11, vlog2e), 0);
83
84 // Compute reduced argument t := x - elements * log(2).
85 // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
86 __m512 vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_hi, vx0);
87 __m512 vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_hi, vx1);
88 __m512 vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_hi, vx2);
89 __m512 vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_hi, vx3);
90 __m512 vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_hi, vx4);
91 __m512 vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_hi, vx5);
92 __m512 vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_hi, vx6);
93 __m512 vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_hi, vx7);
94 __m512 vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_hi, vx8);
95 __m512 vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_hi, vx9);
96 __m512 vt10 = _mm512_fmadd_ps(vn10, vminus_ln2_hi, vx10);
97 __m512 vt11 = _mm512_fmadd_ps(vn11, vminus_ln2_hi, vx11);
98
99 vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_lo, vt0);
100 vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_lo, vt1);
101 vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_lo, vt2);
102 vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_lo, vt3);
103 vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_lo, vt4);
104 vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_lo, vt5);
105 vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_lo, vt6);
106 vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_lo, vt7);
107 vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_lo, vt8);
108 vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_lo, vt9);
109 vt10 = _mm512_fmadd_ps(vn10, vminus_ln2_lo, vt10);
110 vt11 = _mm512_fmadd_ps(vn11, vminus_ln2_lo, vt11);
111
112 // Compute degree-5 polynomial approximation for exp(t) on [-log(2)/2, log(2)/2].
113 __m512 vp0 = _mm512_fmadd_ps(vc5, vt0, vc4);
114 __m512 vp1 = _mm512_fmadd_ps(vc5, vt1, vc4);
115 __m512 vp2 = _mm512_fmadd_ps(vc5, vt2, vc4);
116 __m512 vp3 = _mm512_fmadd_ps(vc5, vt3, vc4);
117 __m512 vp4 = _mm512_fmadd_ps(vc5, vt4, vc4);
118 __m512 vp5 = _mm512_fmadd_ps(vc5, vt5, vc4);
119 __m512 vp6 = _mm512_fmadd_ps(vc5, vt6, vc4);
120 __m512 vp7 = _mm512_fmadd_ps(vc5, vt7, vc4);
121 __m512 vp8 = _mm512_fmadd_ps(vc5, vt8, vc4);
122 __m512 vp9 = _mm512_fmadd_ps(vc5, vt9, vc4);
123 __m512 vp10 = _mm512_fmadd_ps(vc5, vt10, vc4);
124 __m512 vp11 = _mm512_fmadd_ps(vc5, vt11, vc4);
125
126 vp0 = _mm512_fmadd_ps(vp0, vt0, vc3);
127 vp1 = _mm512_fmadd_ps(vp1, vt1, vc3);
128 vp2 = _mm512_fmadd_ps(vp2, vt2, vc3);
129 vp3 = _mm512_fmadd_ps(vp3, vt3, vc3);
130 vp4 = _mm512_fmadd_ps(vp4, vt4, vc3);
131 vp5 = _mm512_fmadd_ps(vp5, vt5, vc3);
132 vp6 = _mm512_fmadd_ps(vp6, vt6, vc3);
133 vp7 = _mm512_fmadd_ps(vp7, vt7, vc3);
134 vp8 = _mm512_fmadd_ps(vp8, vt8, vc3);
135 vp9 = _mm512_fmadd_ps(vp9, vt9, vc3);
136 vp10 = _mm512_fmadd_ps(vp10, vt10, vc3);
137 vp11 = _mm512_fmadd_ps(vp11, vt11, vc3);
138
139 vp0 = _mm512_fmadd_ps(vp0, vt0, vc2);
140 vp1 = _mm512_fmadd_ps(vp1, vt1, vc2);
141 vp2 = _mm512_fmadd_ps(vp2, vt2, vc2);
142 vp3 = _mm512_fmadd_ps(vp3, vt3, vc2);
143 vp4 = _mm512_fmadd_ps(vp4, vt4, vc2);
144 vp5 = _mm512_fmadd_ps(vp5, vt5, vc2);
145 vp6 = _mm512_fmadd_ps(vp6, vt6, vc2);
146 vp7 = _mm512_fmadd_ps(vp7, vt7, vc2);
147 vp8 = _mm512_fmadd_ps(vp8, vt8, vc2);
148 vp9 = _mm512_fmadd_ps(vp9, vt9, vc2);
149 vp10 = _mm512_fmadd_ps(vp10, vt10, vc2);
150 vp11 = _mm512_fmadd_ps(vp11, vt11, vc2);
151
152 vp0 = _mm512_fmadd_ps(vp0, vt0, vc1);
153 vp1 = _mm512_fmadd_ps(vp1, vt1, vc1);
154 vp2 = _mm512_fmadd_ps(vp2, vt2, vc1);
155 vp3 = _mm512_fmadd_ps(vp3, vt3, vc1);
156 vp4 = _mm512_fmadd_ps(vp4, vt4, vc1);
157 vp5 = _mm512_fmadd_ps(vp5, vt5, vc1);
158 vp6 = _mm512_fmadd_ps(vp6, vt6, vc1);
159 vp7 = _mm512_fmadd_ps(vp7, vt7, vc1);
160 vp8 = _mm512_fmadd_ps(vp8, vt8, vc1);
161 vp9 = _mm512_fmadd_ps(vp9, vt9, vc1);
162 vp10 = _mm512_fmadd_ps(vp10, vt10, vc1);
163 vp11 = _mm512_fmadd_ps(vp11, vt11, vc1);
164
165 vp0 = _mm512_fmadd_ps(vp0, vt0, vc0);
166 vp1 = _mm512_fmadd_ps(vp1, vt1, vc0);
167 vp2 = _mm512_fmadd_ps(vp2, vt2, vc0);
168 vp3 = _mm512_fmadd_ps(vp3, vt3, vc0);
169 vp4 = _mm512_fmadd_ps(vp4, vt4, vc0);
170 vp5 = _mm512_fmadd_ps(vp5, vt5, vc0);
171 vp6 = _mm512_fmadd_ps(vp6, vt6, vc0);
172 vp7 = _mm512_fmadd_ps(vp7, vt7, vc0);
173 vp8 = _mm512_fmadd_ps(vp8, vt8, vc0);
174 vp9 = _mm512_fmadd_ps(vp9, vt9, vc0);
175 vp10 = _mm512_fmadd_ps(vp10, vt10, vc0);
176 vp11 = _mm512_fmadd_ps(vp11, vt11, vc0);
177
178 // Reconstruct the final f value:
179 // f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
180 // = 2**elements * p
181 const __m512 vf0 = _mm512_scalef_ps(vp0, vn0);
182 const __m512 vf1 = _mm512_scalef_ps(vp1, vn1);
183 const __m512 vf2 = _mm512_scalef_ps(vp2, vn2);
184 const __m512 vf3 = _mm512_scalef_ps(vp3, vn3);
185 const __m512 vf4 = _mm512_scalef_ps(vp4, vn4);
186 const __m512 vf5 = _mm512_scalef_ps(vp5, vn5);
187 const __m512 vf6 = _mm512_scalef_ps(vp6, vn6);
188 const __m512 vf7 = _mm512_scalef_ps(vp7, vn7);
189 const __m512 vf8 = _mm512_scalef_ps(vp8, vn8);
190 const __m512 vf9 = _mm512_scalef_ps(vp9, vn9);
191 const __m512 vf10 = _mm512_scalef_ps(vp10, vn10);
192 const __m512 vf11 = _mm512_scalef_ps(vp11, vn11);
193
194 // Accumulate computed exponents.
195 vacc0 = _mm512_add_ps(vacc0, vf0);
196 vacc0 = _mm512_add_ps(vacc0, vf1);
197 vacc0 = _mm512_add_ps(vacc0, vf2);
198 vacc0 = _mm512_add_ps(vacc0, vf3);
199 vacc0 = _mm512_add_ps(vacc0, vf4);
200 vacc0 = _mm512_add_ps(vacc0, vf5);
201 vacc0 = _mm512_add_ps(vacc0, vf6);
202 vacc0 = _mm512_add_ps(vacc0, vf7);
203 vacc0 = _mm512_add_ps(vacc0, vf8);
204 vacc0 = _mm512_add_ps(vacc0, vf9);
205 vacc0 = _mm512_add_ps(vacc0, vf10);
206 vacc0 = _mm512_add_ps(vacc0, vf11);
207 }
208
209 __m512 vacc = vacc0;
210 for (; elements >= 16 * sizeof(float); elements -= 16 * sizeof(float)) {
211 // Load 16 inputs at a time.
212 const __m512 vi = _mm512_loadu_ps(input);
213 input += 16;
214
215 // Subtract maximum input x := i - i_max.
216 const __m512 vx = _mm512_sub_ps(vi, vi_max);
217
218 // Compute reduced argument elements := round(x / log(2)).
219 const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);
220
221 // Compute reduced argument t := x - elements * log(2).
222 // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
223 __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
224 vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);
225
226 // Compute degree-5 polynomial approximation for exp(t) on [-log(2)/2, log(2)/2].
227 __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
228 vp = _mm512_fmadd_ps(vp, vt, vc3);
229 vp = _mm512_fmadd_ps(vp, vt, vc2);
230 vp = _mm512_fmadd_ps(vp, vt, vc1);
231 vp = _mm512_fmadd_ps(vp, vt, vc0);
232
233 // Reconstruct the final f value:
234 // f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
235 // = 2**elements * p
236 const __m512 vf = _mm512_scalef_ps(vp, vn);
237
238 // Accumulate computed exponents.
239 vacc = _mm512_add_ps(vacc, vf);
240 }
241 if (elements != 0) {
242 // Prepare mask for valid 32-bit elements (depends on elements).
243 elements >>= 2 /* log2(sizeof(float)) */;
244 const __mmask16 vmask = _cvtu32_mask16((uint16_t) ((uint32_t) (UINT32_C(1) << elements) - UINT32_C(1)));
245
246 // Load up to 15 inputs at a time.
247 const __m512 vi = _mm512_maskz_loadu_ps(vmask, input);
248
249 // Subtract maximum input x := i - i_max.
250 const __m512 vx = _mm512_sub_ps(vi, vi_max);
251
252 // Compute reduced argument elements := round(x / log(2)).
253 const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);
254
255 // Compute reduced argument t := x - elements * log(2).
256 // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
257 __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
258 vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);
259
260 // Compute degree-5 polynomial approximation for exp(t) on [-log(2)/2, log(2)/2].
261 __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
262 vp = _mm512_fmadd_ps(vp, vt, vc3);
263 vp = _mm512_fmadd_ps(vp, vt, vc2);
264 vp = _mm512_fmadd_ps(vp, vt, vc1);
265 vp = _mm512_fmadd_ps(vp, vt, vc0);
266
267 // Reconstruct the final f value:
268 // f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
269 // = 2**elements * p
270 const __m512 vf = _mm512_scalef_ps(vp, vn);
271
272 // Accumulate computed exponents.
273 vacc = _mm512_mask_add_ps(vacc, vmask, vacc, vf);
274 }
275 *sum = _mm512_reduce_add_ps(vacc);
276 }
277