1 // Auto-generated file. Do not edit!
2 // Template: src/bf16-gemm/c8-neonbf16.c.in
3 // Generator: tools/xngen
4 //
5 // Copyright 2022 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
11 #include <assert.h>
12
13 #include <arm_neon.h>
14
15 #include <xnnpack/gemm.h>
16
17
xnn_bf16_gemm_minmax_ukernel_1x4c8__neonbf16_bfmlal(size_t mr,size_t nc,size_t kc,const void * restrict a,size_t a_stride,const void * restrict w_ptr,void * restrict c,size_t cm_stride,size_t cn_stride,const union xnn_bf16_minmax_params params[restrict XNN_MIN_ELEMENTS (1)])18 void xnn_bf16_gemm_minmax_ukernel_1x4c8__neonbf16_bfmlal(
19 size_t mr,
20 size_t nc,
21 size_t kc,
22 const void* restrict a,
23 size_t a_stride,
24 const void* restrict w_ptr,
25 void* restrict c,
26 size_t cm_stride,
27 size_t cn_stride,
28 const union xnn_bf16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
29 {
30 assert(mr != 0);
31 assert(mr <= 1);
32 assert(nc != 0);
33 assert(kc != 0);
34 assert(kc % sizeof(bfloat16_t) == 0);
35 assert(a != NULL);
36 assert(w_ptr != NULL);
37 assert(c != NULL);
38
39 const bfloat16_t* a0 = (const bfloat16_t*) a;
40 bfloat16_t* c0 = (bfloat16_t*) c;
41
42 const bfloat16_t* w = (const bfloat16_t*) w_ptr;
43 do {
44 float32x4_t vacc0x0 = vcvt_f32_bf16(vld1_lane_bf16(w, vreinterpret_bf16_u16(vdup_n_u16(0)), 0)); w += 1;
45 float32x4_t vacc0x1 = vcvt_f32_bf16(vld1_lane_bf16(w, vreinterpret_bf16_u16(vdup_n_u16(0)), 0)); w += 1;
46 float32x4_t vacc0x2 = vcvt_f32_bf16(vld1_lane_bf16(w, vreinterpret_bf16_u16(vdup_n_u16(0)), 0)); w += 1;
47 float32x4_t vacc0x3 = vcvt_f32_bf16(vld1_lane_bf16(w, vreinterpret_bf16_u16(vdup_n_u16(0)), 0)); w += 1;
48
49 size_t k = kc;
50 for (; k >= 8 * sizeof(bfloat16_t); k -= 8 * sizeof(bfloat16_t)) {
51 const bfloat16x8_t va0 = vld1q_bf16(a0); a0 += 8;
52
53 const bfloat16x8_t vb0 = vld1q_bf16(w); w += 8;
54 const bfloat16x8_t vb1 = vld1q_bf16(w); w += 8;
55 const bfloat16x8_t vb2 = vld1q_bf16(w); w += 8;
56 const bfloat16x8_t vb3 = vld1q_bf16(w); w += 8;
57
58 vacc0x0 = vbfmlalbq_f32(vacc0x0, va0, vb0);
59 vacc0x1 = vbfmlalbq_f32(vacc0x1, va0, vb1);
60 vacc0x2 = vbfmlalbq_f32(vacc0x2, va0, vb2);
61 vacc0x3 = vbfmlalbq_f32(vacc0x3, va0, vb3);
62
63 vacc0x0 = vbfmlaltq_f32(vacc0x0, va0, vb0);
64 vacc0x1 = vbfmlaltq_f32(vacc0x1, va0, vb1);
65 vacc0x2 = vbfmlaltq_f32(vacc0x2, va0, vb2);
66 vacc0x3 = vbfmlaltq_f32(vacc0x3, va0, vb3);
67 }
68 if XNN_UNLIKELY(k != 0) {
69 const bfloat16x8_t va0 = vld1q_bf16(a0); a0 = (const bfloat16_t*) ((uintptr_t) a0 + k);
70
71 const bfloat16x8_t vb0 = vld1q_bf16(w); w += 8;
72 const bfloat16x8_t vb1 = vld1q_bf16(w); w += 8;
73 const bfloat16x8_t vb2 = vld1q_bf16(w); w += 8;
74 const bfloat16x8_t vb3 = vld1q_bf16(w); w += 8;
75
76 const uint16x8_t vm0 = vceqq_u16(vreinterpretq_u16_bf16(vb0), vmovq_n_u16(0));
77 const uint16x8_t vm1 = vceqq_u16(vreinterpretq_u16_bf16(vb1), vmovq_n_u16(0));
78 const uint16x8_t vm2 = vceqq_u16(vreinterpretq_u16_bf16(vb2), vmovq_n_u16(0));
79 const uint16x8_t vm3 = vceqq_u16(vreinterpretq_u16_bf16(vb3), vmovq_n_u16(0));
80
81 const bfloat16x8_t va0x0 = vreinterpretq_bf16_u16(vbicq_u16(vreinterpretq_u16_bf16(va0), vm0));
82 vacc0x0 = vbfmlalbq_f32(vacc0x0, va0x0, vb0);
83 vacc0x0 = vbfmlaltq_f32(vacc0x0, va0x0, vb0);
84 const bfloat16x8_t va0x1 = vreinterpretq_bf16_u16(vbicq_u16(vreinterpretq_u16_bf16(va0), vm1));
85 vacc0x1 = vbfmlalbq_f32(vacc0x1, va0x1, vb1);
86 vacc0x1 = vbfmlaltq_f32(vacc0x1, va0x1, vb1);
87 const bfloat16x8_t va0x2 = vreinterpretq_bf16_u16(vbicq_u16(vreinterpretq_u16_bf16(va0), vm2));
88 vacc0x2 = vbfmlalbq_f32(vacc0x2, va0x2, vb2);
89 vacc0x2 = vbfmlaltq_f32(vacc0x2, va0x2, vb2);
90 const bfloat16x8_t va0x3 = vreinterpretq_bf16_u16(vbicq_u16(vreinterpretq_u16_bf16(va0), vm3));
91 vacc0x3 = vbfmlalbq_f32(vacc0x3, va0x3, vb3);
92 vacc0x3 = vbfmlaltq_f32(vacc0x3, va0x3, vb3);
93 }
94
95 #if XNN_ARCH_ARM64
96 const float32x4_t vacc0x01 = vpaddq_f32(vacc0x0, vacc0x1);
97 const float32x4_t vacc0x23 = vpaddq_f32(vacc0x2, vacc0x3);
98
99 float32x4_t vacc0x0123 = vpaddq_f32(vacc0x01, vacc0x23);
100 #else
101 const float32x2_t vsum0x0 = vadd_f32(vget_low_f32(vacc0x0), vget_high_f32(vacc0x0));
102 const float32x2_t vsum0x1 = vadd_f32(vget_low_f32(vacc0x1), vget_high_f32(vacc0x1));
103 const float32x2_t vsum0x2 = vadd_f32(vget_low_f32(vacc0x2), vget_high_f32(vacc0x2));
104 const float32x2_t vsum0x3 = vadd_f32(vget_low_f32(vacc0x3), vget_high_f32(vacc0x3));
105
106 float32x4_t vacc0x0123 = vcombine_f32(vpadd_f32(vsum0x0, vsum0x1), vpadd_f32(vsum0x2, vsum0x3));
107 #endif
108
109 const float32x4_t vmax = vld1q_dup_f32(¶ms->scalar.max);
110 vacc0x0123 = vminq_f32(vacc0x0123, vmax);
111
112 const float32x4_t vmin = vld1q_dup_f32(¶ms->scalar.min);
113 vacc0x0123 = vmaxq_f32(vacc0x0123, vmin);
114
115 bfloat16x4_t vout0x0123 = vcvt_bf16_f32(vacc0x0123);
116
117 if XNN_LIKELY(nc >= 4) {
118 vst1_bf16(c0, vout0x0123);
119 c0 = (bfloat16_t*) ((uintptr_t) c0 + cn_stride);
120
121 a0 = (const bfloat16_t*) ((uintptr_t) a0 - kc);
122
123 nc -= 4;
124 } else {
125 if (nc & 2) {
126 vst1_lane_u32((void*) c0, vreinterpret_u32_bf16(vout0x0123), 0); c0 += 2;
127
128 vout0x0123 = vreinterpret_bf16_u16(vext_u16(vreinterpret_u16_bf16(vout0x0123), vreinterpret_u16_bf16(vout0x0123), 2));
129 }
130 if (nc & 1) {
131 vst1_lane_bf16(c0, vout0x0123, 0);
132 }
133
134 nc = 0;
135 }
136 } while (nc != 0);
137 }
138