1 // Auto-generated file. Do not edit!
2 // Template: src/qs8-gemm/MRx4c2s4-wasmsimd-dot16x2.c.in
3 // Generator: tools/xngen
4 //
5 // Copyright 2021 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/gemm.h>
15 #include <xnnpack/math.h>
16
17
18
xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__wasmsimd_dot16x2_ld64(size_t mr,size_t nc,size_t kc,const int8_t * restrict a,size_t a_stride,const void * restrict w,int8_t * restrict c,size_t cm_stride,size_t cn_stride,const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS (1)])19 void xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__wasmsimd_dot16x2_ld64(
20 size_t mr,
21 size_t nc,
22 size_t kc,
23 const int8_t* restrict a,
24 size_t a_stride,
25 const void* restrict w,
26 int8_t* restrict c,
27 size_t cm_stride,
28 size_t cn_stride,
29 const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
30 {
31 assert(mr != 0);
32 assert(mr <= 1);
33 assert(nc != 0);
34 assert(kc != 0);
35 assert(kc % sizeof(int8_t) == 0);
36 assert(a != NULL);
37 assert(w != NULL);
38 assert(c != NULL);
39
40 const int8_t* a0 = a;
41 int8_t* c0 = c;
42
43 kc = round_up_po2(kc, 8 * sizeof(int8_t));
44 do {
45 v128_t vacc0x0123 = wasm_v128_load(w);
46 w = (const void*) ((const int32_t*) w + 4);
47
48 size_t k = kc;
49 do {
50 v128_t vxa0 = wasm_i16x8_load8x8((const v128_t*) a0);
51 a0 += 8;
52
53 const v128_t vxb0 = wasm_i16x8_load8x8(w);
54
55 vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(vxa0, vxb0));
56 vxa0 = wasm_v32x4_shuffle(vxa0, vxa0, 1, 2, 3, 4);
57 const v128_t vxb1 = wasm_i16x8_load8x8((const int8_t*) w + 8);
58
59 vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(vxa0, vxb1));
60 vxa0 = wasm_v32x4_shuffle(vxa0, vxa0, 1, 2, 3, 4);
61 const v128_t vxb2 = wasm_i16x8_load8x8((const int8_t*) w + 16);
62
63 vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(vxa0, vxb2));
64 vxa0 = wasm_v32x4_shuffle(vxa0, vxa0, 1, 2, 3, 4);
65 const v128_t vxb3 = wasm_i16x8_load8x8((const int8_t*) w + 24);
66
67 vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(vxa0, vxb3));
68
69 w = (const int8_t*) w + 32;
70 k -= 8 * sizeof(int8_t);
71 } while (k != 0);
72
73 vacc0x0123 = wasm_f32x4_convert_i32x4(vacc0x0123);
74
75 const v128_t vscale0123 = wasm_v128_load(w);
76 w = (const float*) w + 4;
77 vacc0x0123 = wasm_f32x4_mul(vacc0x0123, vscale0123);
78
79 const v128_t vmagic_bias = wasm_v128_load64_splat(params->fp32_wasmsimd.magic_bias);
80 vacc0x0123 = wasm_f32x4_add(vacc0x0123, vmagic_bias);
81
82 const v128_t vmagic_min = wasm_v128_load64_splat(params->fp32_wasmsimd.magic_min);
83 vacc0x0123 = wasm_i32x4_max(vacc0x0123, vmagic_min);
84
85 const v128_t vmagic_bias_less_output_zero_point = wasm_v128_load64_splat(params->fp32_wasmsimd.magic_bias_less_output_zero_point);
86 vacc0x0123 = wasm_i32x4_sub(vacc0x0123, vmagic_bias_less_output_zero_point);
87
88 v128_t vacc00x0123 = wasm_i16x8_narrow_i32x4(vacc0x0123, vacc0x0123);
89
90 v128_t vout = wasm_i8x16_narrow_i16x8(vacc00x0123, vacc00x0123);
91
92 const v128_t voutput_max = wasm_v128_load64_splat(params->fp32_wasmsimd.output_max);
93 vout = wasm_i8x16_min(vout, voutput_max);
94
95 if (nc >= 4) {
96 *((float*) c0) = (float) wasm_f32x4_extract_lane(vout, 0);
97
98 c0 = (int8_t*) ((uintptr_t) c0 + cn_stride);
99
100 a0 = (const int8_t*) ((uintptr_t) a0 - kc);
101
102 nc -= 4;
103 } else {
104 uint32_t vout0 = wasm_i32x4_extract_lane(vout, 0);
105 if (nc & 2) {
106 *((uint16_t*) c0) = (uint16_t) vout0;
107 vout0 >>= 16;
108 c0 += 2;
109 }
110 if (nc & 1) {
111 *c0 = (int8_t) vout0;
112 }
113
114 nc = 0;
115 }
116 } while (nc != 0);
117 }
118