File size: 6,085 Bytes
8b7c501
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
// Auto-generated file. Do not edit!
//   Template: src/f16-spmm/neonfp16arith.c.in
//   Generator: tools/xngen
//
// Copyright 2019 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.

#include <assert.h>

#include <arm_neon.h>

#include <xnnpack/prefetch.h>
#include <xnnpack/spmm.h>


void xnn_f16_spmm_minmax_ukernel_8x1__neonfp16arith(
    size_t mc,
    size_t nc,
    const void* input,
    const void* weights,
    const int32_t* widx_dmap,
    const uint32_t* nidx_nnzmap,
    void* output,
    size_t output_stride,
    const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
{
  assert(mc != 0);
  assert(mc % sizeof(uint16_t) == 0);
  assert(nc != 0);

  const uint16_t* i = (const uint16_t*) input;
  uint16_t* o = (uint16_t*) output;

  #if XNN_ARCH_ARM64
    const uint16x8x2_t vminmax = vld2q_dup_u16(&params->fp16arith.min);
    const float16x8_t vmin = vreinterpretq_f16_u16(vminmax.val[0]);
    const float16x8_t vmax = vreinterpretq_f16_u16(vminmax.val[1]);
  #else
    // vld2_dup is to work around aarch32 clang bug with vld1q_dup
    const uint16x4x2_t vminmax = vld2_dup_u16(&params->fp16arith.min);
    const float16x8_t vmin = vreinterpretq_f16_u16(vcombine_u16(vminmax.val[0], vminmax.val[0]));
    const float16x8_t vmax = vreinterpretq_f16_u16(vcombine_u16(vminmax.val[1], vminmax.val[1]));
  #endif

  size_t output_decrement = output_stride * nc - 8 * sizeof(uint16_t);
  while XNN_LIKELY(mc >= 8 * sizeof(uint16_t)) {
    const uint16_t* w = (const uint16_t*) weights;
    const int32_t* dmap = widx_dmap;
    const uint32_t* nnzmap = nidx_nnzmap;
    size_t n = nc;
    do {
      uint32_t nnz = *nnzmap++;
      float16x8_t vacc01234567 = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1;
      if XNN_LIKELY(nnz != 0) {
        do {
          const intptr_t diff = *dmap++;
          const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(i));
          i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
          xnn_prefetch_to_l1(i + 32);
          const float16x8_t vw = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1;
          xnn_prefetch_to_l1(w + 64);
          vacc01234567 = vfmaq_f16(vacc01234567, va01234567, vw);
        } while (--nnz != 0);
      }
      float16x8_t vout01234567 = vminq_f16(vacc01234567, vmax);
      vout01234567 = vmaxq_f16(vout01234567, vmin);
      vst1q_u16(o, vreinterpretq_u16_f16(vout01234567));
      o = (uint16_t*) ((uintptr_t) o + output_stride);
    } while (--n != 0);
    o = (uint16_t*) ((uintptr_t) o - output_decrement);
    i += 8;
    mc -= 8 * sizeof(uint16_t);
  }
  if XNN_UNLIKELY(mc != 0) {
    output_decrement += 4 * sizeof(uint16_t);
    if (mc & (4 * sizeof(uint16_t))) {
      const uint16_t* w = (const uint16_t*) weights;
      const int32_t* dmap = widx_dmap;
      const uint32_t* nnzmap = nidx_nnzmap;
      size_t n = nc;
      do {
        uint32_t nnz = *nnzmap++;
        float16x4_t vacc0123 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
        if XNN_LIKELY(nnz != 0) {
          do {
            const intptr_t diff = *dmap++;
            const float16x4_t va0123 = vreinterpret_f16_u16(vld1_u16(i));
            i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
            const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
            vacc0123 = vfma_f16(vacc0123, va0123, vw);
          } while (--nnz != 0);
        }
        float16x4_t vout0123 = vmin_f16(vacc0123, vget_low_f16(vmax));
        vout0123 = vmax_f16(vout0123, vget_low_f16(vmin));
        vst1_u16(o, vreinterpret_u16_f16(vout0123));
        o = (uint16_t*) ((uintptr_t) o + output_stride);
      } while (--n != 0);
      o = (uint16_t*) ((uintptr_t) o - output_decrement);
      i += 4;
    }
    output_decrement += 2 * sizeof(uint16_t);
    if (mc & (2 * sizeof(uint16_t))) {
      const uint16_t* w = (const uint16_t*) weights;
      const int32_t* dmap = widx_dmap;
      const uint32_t* nnzmap = nidx_nnzmap;
      size_t n = nc;
      do {
        uint32_t nnz = *nnzmap++;
        float16x4_t vacc01 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
        if XNN_LIKELY(nnz != 0) {
          do {
            const intptr_t diff = *dmap++;
            const float16x4_t va01 = vreinterpret_f16_u32(vld1_dup_u32((const void*) i));
            i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
            const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
            vacc01 = vfma_f16(vacc01, va01, vw);
          } while (--nnz != 0);
        }
        float16x4_t vout01 = vmin_f16(vacc01, vget_low_f16(vmax));
        vout01 = vmax_f16(vout01, vget_low_f16(vmin));
        vst1_lane_u32((void*) o, vreinterpret_u32_f16(vout01), 0);
        o = (uint16_t*) ((uintptr_t) o + output_stride);
      } while (--n != 0);
      o = (uint16_t*) ((uintptr_t) o - output_decrement);
      i += 2;
    }
    output_decrement += 1 * sizeof(uint16_t);
    if (mc & (1 * sizeof(uint16_t))) {
      const uint16_t* w = (const uint16_t*) weights;
      const int32_t* dmap = widx_dmap;
      const uint32_t* nnzmap = nidx_nnzmap;
      size_t n = nc;
      do {
        uint32_t nnz = *nnzmap++;
        float16x4_t vacc0 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
        if XNN_LIKELY(nnz != 0) {
          do {
            const intptr_t diff = *dmap++;
            const float16x4_t va0 = vreinterpret_f16_u16(vld1_dup_u16(i));
            i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff);
            const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1;
            vacc0 = vfma_f16(vacc0, va0, vw);
          } while (--nnz != 0);
        }
        float16x4_t vout0 = vmin_f16(vacc0, vget_low_f16(vmax));
        vout0 = vmax_f16(vout0, vget_low_f16(vmin));
        vst1_lane_u16(o, vreinterpret_u16_f16(vout0), 0);
        o = (uint16_t*) ((uintptr_t) o + output_stride);
      } while (--n != 0);
      o = (uint16_t*) ((uintptr_t) o - output_decrement);
      i += 1;
    }
  }
}