1 // Auto-generated file. Do not edit!
2 // Template: src/f32-dwconv/up-wasmsimd.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/dwconv.h>
15
16
xnn_f32_dwconv_ukernel_up4x3__wasmsimd(size_t channels,size_t output_width,const float ** input,const float * weights,float * output,size_t input_stride,size_t output_increment,size_t input_offset,const float * zero,const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS (1)])17 void xnn_f32_dwconv_ukernel_up4x3__wasmsimd(
18 size_t channels,
19 size_t output_width,
20 const float** input,
21 const float* weights,
22 float* output,
23 size_t input_stride,
24 size_t output_increment,
25 size_t input_offset,
26 const float* zero,
27 const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
28 {
29 assert(channels != 0);
30 assert(output_width != 0);
31
32 do {
33 const float* i0 = input[0];
34 assert(i0 != NULL);
35 if XNN_UNPREDICTABLE(i0 != zero) {
36 i0 = (const float*) ((uintptr_t) i0 + input_offset);
37 }
38 const float* i1 = input[1];
39 assert(i1 != NULL);
40 if XNN_UNPREDICTABLE(i1 != zero) {
41 i1 = (const float*) ((uintptr_t) i1 + input_offset);
42 }
43 const float* i2 = input[2];
44 assert(i2 != NULL);
45 if XNN_UNPREDICTABLE(i2 != zero) {
46 i2 = (const float*) ((uintptr_t) i2 + input_offset);
47 }
48 input = (const float**) ((uintptr_t) input + input_stride);
49
50 size_t c = channels;
51 const float* w = weights;
52 for (; c >= 4; c -= 4) {
53 v128_t vacc0123p0 = wasm_v128_load(w);
54
55
56 const v128_t vi0x0123 = wasm_v128_load(i0);
57 i0 += 4;
58
59 const v128_t vk0x0123 = wasm_v128_load(w + 4);
60 vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi0x0123, vk0x0123));
61
62 const v128_t vi1x0123 = wasm_v128_load(i1);
63 i1 += 4;
64
65 const v128_t vk1x0123 = wasm_v128_load(w + 8);
66 vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi1x0123, vk1x0123));
67
68 const v128_t vi2x0123 = wasm_v128_load(i2);
69 i2 += 4;
70
71 const v128_t vk2x0123 = wasm_v128_load(w + 12);
72 vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi2x0123, vk2x0123));
73
74 w += 16;
75
76
77 const v128_t vacc0123 = vacc0123p0;
78
79 wasm_v128_store(output, vacc0123);
80 output += 4;
81 }
82 if XNN_UNLIKELY(c != 0) {
83 v128_t vacc0123p0 = wasm_v128_load(w);
84
85 const v128_t vi0x0123 = wasm_v128_load(i0);
86 const v128_t vk0x0123 = wasm_v128_load(w + 4);
87 vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi0x0123, vk0x0123));
88
89 const v128_t vi1x0123 = wasm_v128_load(i1);
90 const v128_t vk1x0123 = wasm_v128_load(w + 8);
91 vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi1x0123, vk1x0123));
92
93 const v128_t vi2x0123 = wasm_v128_load(i2);
94 const v128_t vk2x0123 = wasm_v128_load(w + 12);
95 vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi2x0123, vk2x0123));
96
97
98 v128_t vacc0123 = vacc0123p0;
99
100 if (c & 2) {
101 *((double*) output) = wasm_f64x2_extract_lane(vacc0123, 0);
102 vacc0123 = wasm_v32x4_shuffle(vacc0123, vacc0123, 2, 3, 2, 3);
103 output += 2;
104 }
105 if (c & 1) {
106 *output = wasm_f32x4_extract_lane(vacc0123, 0);
107 output += 1;
108 }
109 }
110
111 output = (float*) ((uintptr_t) output + output_increment);
112 } while (--output_width != 0);
113 }
114