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1 // Auto-generated file. Do not edit!
2 //   Template: src/f32-vmulcaddc/sse.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 <xmmintrin.h>
13 
14 #include <xnnpack/math.h>
15 #include <xnnpack/vmulcaddc.h>
16 
17 
xnn_f32_vmulcaddc_minmax_ukernel_c8__sse_2x(size_t rows,size_t channels,const float * restrict input,size_t input_stride,const float * restrict weights,float * restrict output,size_t output_stride,const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS (1)])18 void xnn_f32_vmulcaddc_minmax_ukernel_c8__sse_2x(
19     size_t rows,
20     size_t channels,
21     const float*restrict input,
22     size_t input_stride,
23     const float*restrict weights,
24     float*restrict output,
25     size_t output_stride,
26     const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
27 {
28   assert(rows != 0);
29   assert(channels != 0);
30   assert(channels % sizeof(float) == 0);
31 
32   const float* i0 = input;
33   float* o0 = output;
34   const float* i1 = (const float*) ((uintptr_t) i0 + input_stride);
35   float* o1 = (float*) ((uintptr_t) o0 + output_stride);
36   if XNN_UNPREDICTABLE(rows < 2) {
37     i1 = i0;
38     o1 = o0;
39   }
40 
41   const size_t input_increment = input_stride * 2 - channels;
42   const size_t output_increment = output_stride * 2 - channels;
43 
44   const __m128 vmin = _mm_load_ps(params->sse.min);
45   const __m128 vmax = _mm_load_ps(params->sse.max);
46   do {
47     const float* w = weights;
48     size_t c = channels;
49     for (; c >= 8 * sizeof(float); c -= 8 * sizeof(float)) {
50       const __m128 vscale0123 = _mm_load_ps(w);
51       const __m128 vscale4567 = _mm_load_ps(w + 4);
52 
53       __m128 vacc0x0123 = _mm_loadu_ps(i0);
54       __m128 vacc0x4567 = _mm_loadu_ps(i0 + 4);
55       i0 += 8;
56       __m128 vacc1x0123 = _mm_loadu_ps(i1);
57       __m128 vacc1x4567 = _mm_loadu_ps(i1 + 4);
58       i1 += 8;
59 
60       vacc0x0123 = _mm_mul_ps(vacc0x0123, vscale0123);
61       vacc0x4567 = _mm_mul_ps(vacc0x4567, vscale4567);
62       vacc1x0123 = _mm_mul_ps(vacc1x0123, vscale0123);
63       vacc1x4567 = _mm_mul_ps(vacc1x4567, vscale4567);
64 
65       const __m128 vbias0123 = _mm_load_ps(w + 8);
66       const __m128 vbias4567 = _mm_load_ps(w + 12);
67 
68       vacc0x0123 = _mm_add_ps(vacc0x0123, vbias0123);
69       vacc0x4567 = _mm_add_ps(vacc0x4567, vbias4567);
70       vacc1x0123 = _mm_add_ps(vacc1x0123, vbias0123);
71       vacc1x4567 = _mm_add_ps(vacc1x4567, vbias4567);
72 
73       vacc0x0123 = _mm_max_ps(vacc0x0123, vmin);
74       vacc0x4567 = _mm_max_ps(vacc0x4567, vmin);
75       vacc1x0123 = _mm_max_ps(vacc1x0123, vmin);
76       vacc1x4567 = _mm_max_ps(vacc1x4567, vmin);
77 
78       vacc0x0123 = _mm_min_ps(vacc0x0123, vmax);
79       vacc0x4567 = _mm_min_ps(vacc0x4567, vmax);
80       vacc1x0123 = _mm_min_ps(vacc1x0123, vmax);
81       vacc1x4567 = _mm_min_ps(vacc1x4567, vmax);
82 
83       _mm_storeu_ps(o0, vacc0x0123);
84       _mm_storeu_ps(o0 + 4, vacc0x4567);
85       o0 += 8;
86       _mm_storeu_ps(o1, vacc1x0123);
87       _mm_storeu_ps(o1 + 4, vacc1x4567);
88       o1 += 8;
89 
90       w += 16;
91     }
92     for (; c >= 4 * sizeof(float); c -= 4 * sizeof(float)) {
93       const __m128 vscale0123 = _mm_load_ps(w);
94 
95       __m128 vacc0x0123 = _mm_loadu_ps(i0);
96       i0 += 4;
97       __m128 vacc1x0123 = _mm_loadu_ps(i1);
98       i1 += 4;
99 
100       vacc0x0123 = _mm_mul_ps(vacc0x0123, vscale0123);
101       vacc1x0123 = _mm_mul_ps(vacc1x0123, vscale0123);
102 
103       const __m128 vbias0123 = _mm_load_ps(w + 8);
104 
105       vacc0x0123 = _mm_add_ps(vacc0x0123, vbias0123);
106       vacc1x0123 = _mm_add_ps(vacc1x0123, vbias0123);
107 
108       vacc0x0123 = _mm_max_ps(vacc0x0123, vmin);
109       vacc1x0123 = _mm_max_ps(vacc1x0123, vmin);
110 
111       vacc0x0123 = _mm_min_ps(vacc0x0123, vmax);
112       vacc1x0123 = _mm_min_ps(vacc1x0123, vmax);
113 
114       _mm_storeu_ps(o0, vacc0x0123);
115       o0 += 4;
116       _mm_storeu_ps(o1, vacc1x0123);
117       o1 += 4;
118 
119       w += 4;
120     }
121     if XNN_UNLIKELY(c != 0) {
122       const __m128 vscale0123 = _mm_load_ps(w);
123 
124       __m128 vacc0x0123 = _mm_loadu_ps(i0);
125       i0 = (const float*) ((uintptr_t) i0 + c);
126       __m128 vacc1x0123 = _mm_loadu_ps(i1);
127       i1 = (const float*) ((uintptr_t) i1 + c);
128 
129       vacc0x0123 = _mm_mul_ps(vacc0x0123, vscale0123);
130       vacc1x0123 = _mm_mul_ps(vacc1x0123, vscale0123);
131 
132       const __m128 vbias0123 = _mm_load_ps(w + 8);
133 
134       vacc0x0123 = _mm_add_ps(vacc0x0123, vbias0123);
135       vacc1x0123 = _mm_add_ps(vacc1x0123, vbias0123);
136 
137       vacc0x0123 = _mm_max_ps(vacc0x0123, vmin);
138       vacc1x0123 = _mm_max_ps(vacc1x0123, vmin);
139 
140       vacc0x0123 = _mm_min_ps(vacc0x0123, vmax);
141       vacc1x0123 = _mm_min_ps(vacc1x0123, vmax);
142 
143       if (c & (2 * sizeof(float))) {
144         _mm_storel_pi((__m64*) o0, vacc0x0123);
145         _mm_storel_pi((__m64*) o1, vacc1x0123);
146 
147         vacc0x0123 = _mm_movehl_ps(vacc0x0123, vacc0x0123);
148         vacc1x0123 = _mm_movehl_ps(vacc1x0123, vacc1x0123);
149 
150         o0 += 2;
151         o1 += 2;
152       }
153       if (c & (1 * sizeof(float))) {
154         _mm_store_ss(o0, vacc0x0123);
155         _mm_store_ss(o1, vacc1x0123);
156 
157         o0 += 1;
158         o1 += 1;
159       }
160     }
161     i0 = (const float*) ((uintptr_t) i0 + input_increment);
162     o0 = (float*) ((uintptr_t) o0 + output_increment);
163     i1 = (const float*) ((uintptr_t) i1 + input_increment);
164     o1 = (float*) ((uintptr_t) o1 + output_increment);
165     if XNN_UNPREDICTABLE(rows < 4) {
166       i1 = i0;
167       o1 = o0;
168     }
169     rows = doz(rows, 2);
170   } while (rows != 0);
171 }
172