xref: /aosp_15_r20/external/XNNPACK/src/f32-vscaleexpminusmax/gen/avx512f-p5-scalef-x32.c (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)
1 // Auto-generated file. Do not edit!
2 //   Template: src/f32-vscaleexpminusmax/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/vscaleexpminusmax.h>
16 
17 
xnn_f32_vscaleexpminusmax_ukernel__avx512f_p5_scalef_x32(size_t elements,const float * input,float * output,float scale,float max)18 void xnn_f32_vscaleexpminusmax_ukernel__avx512f_p5_scalef_x32(
19     size_t elements,
20     const float* input,
21     float* output,
22     float scale,
23     float max)
24 {
25   assert(elements % sizeof(float) == 0);
26 
27   const __m512 vlog2e = _mm512_set1_ps(0x1.715476p+0f);
28   const __m512 vminus_ln2_hi = _mm512_set1_ps(-0x1.62E43p-1f);
29   const __m512 vminus_ln2_lo = _mm512_set1_ps(0x1.05C61p-29f);
30 
31   const __m512 vc0 = _mm512_set1_ps(1.0f);
32   const __m512 vc1 = _mm512_set1_ps(0x1.FFFFF6p-1f);
33   const __m512 vc2 = _mm512_set1_ps(0x1.FFFDC6p-2f);
34   const __m512 vc3 = _mm512_set1_ps(0x1.555A80p-3f);
35   const __m512 vc4 = _mm512_set1_ps(0x1.573A1Ap-5f);
36   const __m512 vc5 = _mm512_set1_ps(0x1.0F9F9Cp-7f);
37 
38   const __m512 vscale = _mm512_set1_ps(scale);
39   const __m512 vi_max = _mm512_set1_ps(max);
40 
41   for (; elements >= 32 * sizeof(float); elements -= 32 * sizeof(float)) {
42     // Load 32 (2x16) inputs at a time.
43     const __m512 vi0 = _mm512_loadu_ps(input);
44     const __m512 vi1 = _mm512_loadu_ps(input + 16);
45     input += 32;
46 
47     // Subtract maximum input x := i - i_max.
48     const __m512 vx0 = _mm512_sub_ps(vi0, vi_max);
49     const __m512 vx1 = _mm512_sub_ps(vi1, vi_max);
50 
51     // Compute reduced argument elements := round(x / log(2)).
52     __m512 vn0 = _mm512_roundscale_ps(_mm512_mul_ps(vx0, vlog2e), 0);
53     __m512 vn1 = _mm512_roundscale_ps(_mm512_mul_ps(vx1, vlog2e), 0);
54 
55     // Compute reduced argument t := x - elements * log(2).
56     // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
57     __m512 vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_hi, vx0);
58     __m512 vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_hi, vx1);
59 
60     vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_lo, vt0);
61     vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_lo, vt1);
62 
63     // Compute degree-5 polynomial approximation for exp(t) on [-log(2)/2, log(2)/2].
64     __m512 vp0 = _mm512_fmadd_ps(vc5, vt0, vc4);
65     __m512 vp1 = _mm512_fmadd_ps(vc5, vt1, vc4);
66 
67     vp0 = _mm512_fmadd_ps(vp0, vt0, vc3);
68     vp1 = _mm512_fmadd_ps(vp1, vt1, vc3);
69 
70     vp0 = _mm512_fmadd_ps(vp0, vt0, vc2);
71     vp1 = _mm512_fmadd_ps(vp1, vt1, vc2);
72 
73     vp0 = _mm512_fmadd_ps(vp0, vt0, vc1);
74     vp1 = _mm512_fmadd_ps(vp1, vt1, vc1);
75 
76     vp0 = _mm512_fmadd_ps(vp0, vt0, vc0);
77     vp1 = _mm512_fmadd_ps(vp1, vt1, vc0);
78 
79     // Reconstruct the final f value:
80     //   f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
81     //     = 2**elements * p
82     __m512 vf0 = _mm512_scalef_ps(vp0, vn0);
83     __m512 vf1 = _mm512_scalef_ps(vp1, vn1);
84 
85     // Multiply by scale.
86     vf0 = _mm512_mul_ps(vf0, vscale);
87     vf1 = _mm512_mul_ps(vf1, vscale);
88 
89     // Store 32 (2x16) outputs at a time.
90     _mm512_storeu_ps(output, vf0);
91     _mm512_storeu_ps(output + 0, vf0);
92     _mm512_storeu_ps(output + 16, vf1);
93     output += 32;
94   }
95   for (; elements >= 16 * sizeof(float); elements -= 16 * sizeof(float)) {
96     // Load 16 inputs at a time.
97     const __m512 vi = _mm512_loadu_ps(input);
98     input += 16;
99 
100     // Subtract maximum input x := i - i_max.
101     const __m512 vx = _mm512_sub_ps(vi, vi_max);
102 
103     // Compute reduced argument elements := round(x / log(2)).
104     __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);
105 
106     // Compute reduced argument t := x - elements * log(2).
107     // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
108     __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
109     vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);
110 
111     // Compute degree-5 polynomial approximation for exp(t) on [-log(2)/2, log(2)/2].
112     __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
113     vp = _mm512_fmadd_ps(vp, vt, vc3);
114     vp = _mm512_fmadd_ps(vp, vt, vc2);
115     vp = _mm512_fmadd_ps(vp, vt, vc1);
116     vp = _mm512_fmadd_ps(vp, vt, vc0);
117 
118     // Reconstruct the final f value:
119     //   f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
120     //     = 2**elements * p
121     __m512 vf = _mm512_scalef_ps(vp, vn);
122 
123     // Multiply by scale.
124     vf = _mm512_mul_ps(vf, vscale);
125 
126     // Store 16 outputs at a time.
127     _mm512_storeu_ps(output, vf);
128     output += 16;
129   }
130   if (elements != 0) {
131     // Prepare mask for valid 32-bit elements (depends on elements).
132     elements >>= 2 /* log2(sizeof(float)) */;
133     const __mmask16 vmask = _cvtu32_mask16((uint16_t) ((uint32_t) (UINT32_C(1) << elements) - UINT32_C(1)));
134 
135     // Load up to 15 inputs at a time.
136     const __m512 vi = _mm512_mask_loadu_ps(_mm512_undefined_ps(), vmask, input);
137 
138     // Subtract maximum input x := i - i_max.
139     const __m512 vx = _mm512_sub_ps(vi, vi_max);
140 
141     // Compute reduced argument elements := round(x / log(2)).
142     __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);
143 
144     // Compute reduced argument t := x - elements * log(2).
145     // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
146     __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
147     vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);
148 
149     // Compute degree-5 polynomial approximation for exp(t) on [-log(2)/2, log(2)/2].
150     __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
151     vp = _mm512_fmadd_ps(vp, vt, vc3);
152     vp = _mm512_fmadd_ps(vp, vt, vc2);
153     vp = _mm512_fmadd_ps(vp, vt, vc1);
154     vp = _mm512_fmadd_ps(vp, vt, vc0);
155 
156     // Reconstruct the final f value:
157     //   f = 2**elements * (1 + t * (c1 + t * (c2 + t * (c3 + t * (c4 + t * c5)))))
158     //     = 2**elements * p
159     __m512 vf = _mm512_scalef_ps(vp, vn);
160 
161     // Multiply by scale.
162     vf = _mm512_mul_ps(vf, vscale);
163 
164     // Store up to 15 outputs at a time.
165     _mm512_mask_storeu_ps(output, vmask, vf);
166   }
167 }
168