1 // Auto-generated file. Do not edit!
2 // Template: src/f32-prelu/wasmsimd-minmax.c.in
3 // Generator: tools/xngen
4 //
5 // Copyright 2020 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 <wasm_simd128.h>
13
14 #include <xnnpack/math.h>
15 #include <xnnpack/prelu.h>
16
17
xnn_f32_prelu_ukernel__wasmsimd_minmax_2x8(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)18 void xnn_f32_prelu_ukernel__wasmsimd_minmax_2x8(
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) XNN_DISABLE_TSAN
26 {
27 assert(rows != 0);
28 assert(channels != 0);
29 assert(channels % sizeof(float) == 0);
30
31 const float* i0 = input;
32 float* o0 = output;
33 const float* i1 = (const float*) ((uintptr_t) i0 + input_stride);
34 float* o1 = (float*) ((uintptr_t) o0 + output_stride);
35 if XNN_UNPREDICTABLE(rows < 2) {
36 i1 = i0;
37 o1 = o0;
38 }
39
40 const size_t input_increment = input_stride * 2 - channels;
41 const size_t output_increment = output_stride * 2 - channels;
42
43 const v128_t vzero = wasm_f32x4_splat(0.0f);
44 do {
45 const float* w = weights;
46 size_t c = channels;
47 for (; c >= 8 * sizeof(float); c -= 8 * sizeof(float)) {
48 const v128_t vw0123 = wasm_v128_load(w);
49 const v128_t vw4567 = wasm_v128_load(w + 4);
50 w += 8;
51
52 v128_t vi0x0123 = wasm_v128_load(i0);
53 v128_t vi0x4567 = wasm_v128_load(i0 + 4);
54 i0 += 8;
55 v128_t vi1x0123 = wasm_v128_load(i1);
56 v128_t vi1x4567 = wasm_v128_load(i1 + 4);
57 i1 += 8;
58
59 v128_t vacc0x0123 = wasm_i32x4_max(vi0x0123, vzero);
60 vi0x0123 = wasm_i32x4_min(vi0x0123, vzero);
61 v128_t vacc0x4567 = wasm_i32x4_max(vi0x4567, vzero);
62 vi0x4567 = wasm_i32x4_min(vi0x4567, vzero);
63 v128_t vacc1x0123 = wasm_i32x4_max(vi1x0123, vzero);
64 vi1x0123 = wasm_i32x4_min(vi1x0123, vzero);
65 v128_t vacc1x4567 = wasm_i32x4_max(vi1x4567, vzero);
66 vi1x4567 = wasm_i32x4_min(vi1x4567, vzero);
67
68 vacc0x0123 = wasm_f32x4_add(vacc0x0123, wasm_f32x4_mul(vi0x0123, vw0123));
69 vacc0x4567 = wasm_f32x4_add(vacc0x4567, wasm_f32x4_mul(vi0x4567, vw4567));
70 vacc1x0123 = wasm_f32x4_add(vacc1x0123, wasm_f32x4_mul(vi1x0123, vw0123));
71 vacc1x4567 = wasm_f32x4_add(vacc1x4567, wasm_f32x4_mul(vi1x4567, vw4567));
72
73 wasm_v128_store(o0, vacc0x0123);
74 wasm_v128_store(o0 + 4, vacc0x4567);
75 o0 += 8;
76 wasm_v128_store(o1, vacc1x0123);
77 wasm_v128_store(o1 + 4, vacc1x4567);
78 o1 += 8;
79 }
80 for (; c >= 4 * sizeof(float); c -= 4 * sizeof(float)) {
81 const v128_t vw0123 = wasm_v128_load(w);
82 w += 4;
83
84 v128_t vi0x0123 = wasm_v128_load(i0);
85 i0 += 4;
86 v128_t vi1x0123 = wasm_v128_load(i1);
87 i1 += 4;
88
89 v128_t vacc0x0123 = wasm_i32x4_max(vi0x0123, vzero);
90 vi0x0123 = wasm_i32x4_min(vi0x0123, vzero);
91 v128_t vacc1x0123 = wasm_i32x4_max(vi1x0123, vzero);
92 vi1x0123 = wasm_i32x4_min(vi1x0123, vzero);
93
94 vacc0x0123 = wasm_f32x4_add(vacc0x0123, wasm_f32x4_mul(vi0x0123, vw0123));
95 vacc1x0123 = wasm_f32x4_add(vacc1x0123, wasm_f32x4_mul(vi1x0123, vw0123));
96
97 wasm_v128_store(o0, vacc0x0123);
98 o0 += 4;
99 wasm_v128_store(o1, vacc1x0123);
100 o1 += 4;
101 }
102 if XNN_UNLIKELY(c != 0) {
103 const v128_t vw0123 = wasm_v128_load(w);
104 w = (const float*) ((uintptr_t) w + c);
105
106 v128_t vi0x0123 = wasm_v128_load(i0);
107 i0 = (const float*) ((uintptr_t) i0 + c);
108 v128_t vi1x0123 = wasm_v128_load(i1);
109 i1 = (const float*) ((uintptr_t) i1 + c);
110
111 v128_t vacc0x0123 = wasm_i32x4_max(vi0x0123, vzero);
112 vi0x0123 = wasm_i32x4_min(vi0x0123, vzero);
113 v128_t vacc1x0123 = wasm_i32x4_max(vi1x0123, vzero);
114 vi1x0123 = wasm_i32x4_min(vi1x0123, vzero);
115
116 vacc0x0123 = wasm_f32x4_add(vacc0x0123, wasm_f32x4_mul(vi0x0123, vw0123));
117 vacc1x0123 = wasm_f32x4_add(vacc1x0123, wasm_f32x4_mul(vi1x0123, vw0123));
118
119 if (c & (2 * sizeof(float))) {
120 *((double*) o0) = wasm_f64x2_extract_lane(vacc0x0123, 0);
121 *((double*) o1) = wasm_f64x2_extract_lane(vacc1x0123, 0);
122
123 vacc0x0123 = wasm_v32x4_shuffle(vacc0x0123, vacc0x0123, 2, 3, 2, 3);
124 vacc1x0123 = wasm_v32x4_shuffle(vacc1x0123, vacc1x0123, 2, 3, 2, 3);
125
126 o0 += 2;
127 o1 += 2;
128 }
129 if (c & (1 * sizeof(float))) {
130 *o0 = wasm_f32x4_extract_lane(vacc0x0123, 0);
131 *o1 = wasm_f32x4_extract_lane(vacc1x0123, 0);
132
133 o0 += 1;
134 o1 += 1;
135 }
136 }
137 i0 = (const float*) ((uintptr_t) i0 + input_increment);
138 o0 = (float*) ((uintptr_t) o0 + output_increment);
139 i1 = (const float*) ((uintptr_t) i1 + input_increment);
140 o1 = (float*) ((uintptr_t) o1 + output_increment);
141 if XNN_UNPREDICTABLE(rows < 4) {
142 i1 = i0;
143 o1 = o0;
144 }
145 rows = doz(rows, 2);
146 } while (rows != 0);
147 }
148