1 // Auto-generated file. Do not edit!
2 // Template: src/f32-prelu/wasmsimd-bitselect.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_bitselect_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_bitselect_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_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_i32x4_splat(0);
44 do {
45 const float* w = weights;
46 size_t c = channels;
47 for (; c >= 4 * sizeof(float); c -= 4 * sizeof(float)) {
48 const v128_t vw0123 = wasm_v128_load(w);
49 w += 4;
50
51 const v128_t vi0x0123 = wasm_v128_load(i0);
52 i0 += 4;
53 const v128_t vi1x0123 = wasm_v128_load(i1);
54 i1 += 4;
55
56 v128_t vacc0x0123 = wasm_f32x4_mul(vi0x0123, vw0123);
57 const v128_t vmask0x0123 = wasm_i32x4_lt(vi0x0123, vzero);
58 v128_t vacc1x0123 = wasm_f32x4_mul(vi1x0123, vw0123);
59 const v128_t vmask1x0123 = wasm_i32x4_lt(vi1x0123, vzero);
60
61 vacc0x0123 = wasm_v128_bitselect(vacc0x0123, vi0x0123, vmask0x0123);
62 vacc1x0123 = wasm_v128_bitselect(vacc1x0123, vi1x0123, vmask1x0123);
63
64 wasm_v128_store(o0, vacc0x0123);
65 o0 += 4;
66 wasm_v128_store(o1, vacc1x0123);
67 o1 += 4;
68 }
69 if XNN_UNLIKELY(c != 0) {
70 const v128_t vw0123 = wasm_v128_load(w);
71 w = (const float*) ((uintptr_t) w + c);
72
73 const v128_t vi0x0123 = wasm_v128_load(i0);
74 i0 = (const float*) ((uintptr_t) i0 + c);
75 const v128_t vi1x0123 = wasm_v128_load(i1);
76 i1 = (const float*) ((uintptr_t) i1 + c);
77
78 v128_t vacc0x0123 = wasm_f32x4_mul(vi0x0123, vw0123);
79 const v128_t vmask0x0123 = wasm_i32x4_lt(vi0x0123, vzero);
80 v128_t vacc1x0123 = wasm_f32x4_mul(vi1x0123, vw0123);
81 const v128_t vmask1x0123 = wasm_i32x4_lt(vi1x0123, vzero);
82
83 vacc0x0123 = wasm_v128_bitselect(vacc0x0123, vi0x0123, vmask0x0123);
84 vacc1x0123 = wasm_v128_bitselect(vacc1x0123, vi1x0123, vmask1x0123);
85
86 if (c & (2 * sizeof(float))) {
87 *((double*) o0) = wasm_f64x2_extract_lane(vacc0x0123, 0);
88 *((double*) o1) = wasm_f64x2_extract_lane(vacc1x0123, 0);
89
90 vacc0x0123 = wasm_v32x4_shuffle(vacc0x0123, vacc0x0123, 2, 3, 2, 3);
91 vacc1x0123 = wasm_v32x4_shuffle(vacc1x0123, vacc1x0123, 2, 3, 2, 3);
92
93 o0 += 2;
94 o1 += 2;
95 }
96 if (c & (1 * sizeof(float))) {
97 *o0 = wasm_f32x4_extract_lane(vacc0x0123, 0);
98 *o1 = wasm_f32x4_extract_lane(vacc1x0123, 0);
99
100 o0 += 1;
101 o1 += 1;
102 }
103 }
104 i0 = (const float*) ((uintptr_t) i0 + input_increment);
105 o0 = (float*) ((uintptr_t) o0 + output_increment);
106 i1 = (const float*) ((uintptr_t) i1 + input_increment);
107 o1 = (float*) ((uintptr_t) o1 + output_increment);
108 if XNN_UNPREDICTABLE(rows < 4) {
109 i1 = i0;
110 o1 = o0;
111 }
112 rows = doz(rows, 2);
113 } while (rows != 0);
114 }
115