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_2x4(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_2x4(
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_OOB_READS
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
36 const size_t input_increment = input_stride * 2 - channels;
37 const size_t output_increment = output_stride * 2 - channels;
38
39 const v128_t vzero = wasm_i32x4_const_splat(0);
40 do {
41 if XNN_UNPREDICTABLE(rows < 2) {
42 i1 = i0;
43 o1 = o0;
44 }
45
46 const float* w = weights;
47 size_t c = channels;
48 for (; c >= 4 * sizeof(float); c -= 4 * sizeof(float)) {
49 const v128_t vw0123 = wasm_v128_load(w);
50 w += 4;
51
52 v128_t vi0x0123 = wasm_v128_load(i0);
53 i0 += 4;
54 v128_t vi1x0123 = wasm_v128_load(i1);
55 i1 += 4;
56
57 v128_t vacc0x0123 = wasm_i32x4_max(vi0x0123, vzero);
58 vi0x0123 = wasm_i32x4_min(vi0x0123, vzero);
59 v128_t vacc1x0123 = wasm_i32x4_max(vi1x0123, vzero);
60 vi1x0123 = wasm_i32x4_min(vi1x0123, vzero);
61
62 vacc0x0123 = wasm_f32x4_add(vacc0x0123, wasm_f32x4_mul(vi0x0123, vw0123));
63 vacc1x0123 = wasm_f32x4_add(vacc1x0123, wasm_f32x4_mul(vi1x0123, vw0123));
64
65 wasm_v128_store(o0, vacc0x0123);
66 o0 += 4;
67 wasm_v128_store(o1, vacc1x0123);
68 o1 += 4;
69 }
70 if XNN_UNLIKELY(c != 0) {
71 const v128_t vw0123 = wasm_v128_load(w);
72 w = (const float*) ((uintptr_t) w + c);
73
74 v128_t vi0x0123 = wasm_v128_load(i0);
75 i0 = (const float*) ((uintptr_t) i0 + c);
76 v128_t vi1x0123 = wasm_v128_load(i1);
77 i1 = (const float*) ((uintptr_t) i1 + c);
78
79 v128_t vacc0x0123 = wasm_i32x4_max(vi0x0123, vzero);
80 vi0x0123 = wasm_i32x4_min(vi0x0123, vzero);
81 v128_t vacc1x0123 = wasm_i32x4_max(vi1x0123, vzero);
82 vi1x0123 = wasm_i32x4_min(vi1x0123, vzero);
83
84 vacc0x0123 = wasm_f32x4_add(vacc0x0123, wasm_f32x4_mul(vi0x0123, vw0123));
85 vacc1x0123 = wasm_f32x4_add(vacc1x0123, wasm_f32x4_mul(vi1x0123, vw0123));
86
87 if (c & (2 * sizeof(float))) {
88 *((double*) o0) = wasm_f64x2_extract_lane(vacc0x0123, 0);
89 *((double*) o1) = wasm_f64x2_extract_lane(vacc1x0123, 0);
90
91 vacc0x0123 = wasm_v32x4_shuffle(vacc0x0123, vacc0x0123, 2, 3, 2, 3);
92 vacc1x0123 = wasm_v32x4_shuffle(vacc1x0123, vacc1x0123, 2, 3, 2, 3);
93
94 o0 += 2;
95 o1 += 2;
96 }
97 if (c & (1 * sizeof(float))) {
98 *o0 = wasm_f32x4_extract_lane(vacc0x0123, 0);
99 *o1 = wasm_f32x4_extract_lane(vacc1x0123, 0);
100
101 o0 += 1;
102 o1 += 1;
103 }
104 }
105 i0 = (const float*) ((uintptr_t) i0 + input_increment);
106 o0 = (float*) ((uintptr_t) o0 + output_increment);
107 i1 = (const float*) ((uintptr_t) i1 + input_increment);
108 o1 = (float*) ((uintptr_t) o1 + output_increment);
109 rows = doz(rows, 2);
110 } while (rows != 0);
111 }
112