File size: 5,078 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
// Copyright 2020 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.

$assert CHANNEL_TILE % 8 == 0
$assert CHANNEL_TILE >= 8
$assert ROW_TILE >= 1
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>

#include <arm_neon.h>

#include <xnnpack/math.h>
#include <xnnpack/prelu.h>


void xnn_f16_prelu_ukernel__neonfp16arith_${ROW_TILE}x${CHANNEL_TILE}(
    size_t rows,
    size_t channels,
    const void* restrict input,
    size_t input_stride,
    const void* restrict weights,
    void* restrict output,
    size_t output_stride) XNN_OOB_READS
{
  assert(rows != 0);
  assert(channels != 0);
  assert(channels % sizeof(uint16_t) == 0);

  const uint16_t* i0 = (const uint16_t*) input;
  uint16_t* o0 = (uint16_t*) output;
  $for M in range(1, ROW_TILE):
    const uint16_t* i${M} = (const uint16_t*) ((uintptr_t) i${M-1} + input_stride);
    uint16_t* o${M} = (uint16_t*) ((uintptr_t) o${M-1} + output_stride);

  const size_t input_increment = input_stride * ${ROW_TILE} - channels;
  const size_t output_increment = output_stride * ${ROW_TILE} - channels;

  do {
    $for M in range(1, ROW_TILE):
      $if M % 2 == 0:
        if XNN_UNPREDICTABLE(rows <= ${M}) {
          i${M} = i${M-1};
          o${M} = o${M-1};
        }
      $else:
        if XNN_UNPREDICTABLE(rows < ${M+1}) {
          i${M} = i${M-1};
          o${M} = o${M-1};
        }

    const uint16_t* w = (const uint16_t*) weights;
    size_t c = channels;
    $if CHANNEL_TILE > 8:
      for (; c >= ${CHANNEL_TILE} * sizeof(uint16_t); c -= ${CHANNEL_TILE} * sizeof(uint16_t)) {
        $for C in range(0, CHANNEL_TILE, 8):
          const float16x8_t vw${ABC[C:C+8]} = vreinterpretq_f16_u16(vld1q_u16(w)); w += 8;

        $for M in range(ROW_TILE):
          $for C in range(0, CHANNEL_TILE, 8):
            const float16x8_t vi${M}x0${ABC[C:C+8]} = vreinterpretq_f16_u16(vld1q_u16(i${M})); i${M} += 8;

        $for M in range(ROW_TILE):
          $for C in range(0, CHANNEL_TILE, 8):
            float16x8_t vacc${M}x0${ABC[C:C+8]} = vmulq_f16(vi${M}x0${ABC[C:C+8]}, vw${ABC[C:C+8]});
            const uint16x8_t vm${M}x0${ABC[C:C+8]} = vcltq_s16(vreinterpretq_s16_f16(vi${M}x0${ABC[C:C+8]}), vmovq_n_s16(0));

        $for M in range(ROW_TILE):
          $for C in range(0, CHANNEL_TILE, 8):
            vacc${M}x0${ABC[C:C+8]} = vbslq_f16(vm${M}x0${ABC[C:C+8]}, vacc${M}x0${ABC[C:C+8]}, vi${M}x0${ABC[C:C+8]});

        $for M in range(ROW_TILE):
          $for C in range(0, CHANNEL_TILE, 8):
            vst1q_u16(o${M}, vreinterpretq_u16_f16(vacc${M}x0${ABC[C:C+8]})); o${M} += 8;
      }
    for (; c >= 8 * sizeof(uint16_t); c -= 8 * sizeof(uint16_t)) {
      const float16x8_t vw01234567 = vreinterpretq_f16_u16(vld1q_u16(w)); w += 8;

      $for M in range(ROW_TILE):
        const float16x8_t vi${M}x01234567 = vreinterpretq_f16_u16(vld1q_u16(i${M}));
        i${M} += 8;

      $for M in range(ROW_TILE):
        float16x8_t vacc${M}x01234567 = vmulq_f16(vi${M}x01234567, vw01234567);
        const uint16x8_t vm${M}x01234567 = vcltq_s16(vreinterpretq_s16_f16(vi${M}x01234567), vmovq_n_s16(0));

      $for M in range(ROW_TILE):
        vacc${M}x01234567 = vbslq_f16(vm${M}x01234567, vacc${M}x01234567, vi${M}x01234567);

      $for M in range(ROW_TILE):
        vst1q_u16(o${M}, vreinterpretq_u16_f16(vacc${M}x01234567)); o${M} += 8;
    }
    if XNN_UNLIKELY(c != 0) {
      const float16x8_t vw01234567 = vreinterpretq_f16_u16(vld1q_u16(w));

      $for M in range(ROW_TILE):
        const float16x8_t vi${M}x01234567 = vreinterpretq_f16_u16(vld1q_u16(i${M}));
        i${M} = (const uint16_t*) ((uintptr_t) i${M} + c);

      $for M in range(ROW_TILE):
        float16x8_t vacc${M}x01234567 = vmulq_f16(vi${M}x01234567, vw01234567);
        const uint16x8_t vm${M}x01234567 = vcltq_s16(vreinterpretq_s16_f16(vi${M}x01234567), vmovq_n_s16(0));

      $for M in range(ROW_TILE):
        vacc${M}x01234567 = vbslq_f16(vm${M}x01234567, vacc${M}x01234567, vi${M}x01234567);

      $for M in range(ROW_TILE):
        float16x4_t vacc${M}x0123 = vget_low_f16(vacc${M}x01234567);
      if (c & (4 * sizeof(uint16_t))) {
        $for M in range(ROW_TILE):
          vst1_u16(o${M}, vreinterpret_u16_f16(vacc${M}x0123)); o${M} += 4;

        $for M in range(ROW_TILE):
          vacc${M}x0123 = vget_high_f16(vacc${M}x01234567);
      }
      if (c & (2 * sizeof(uint16_t))) {
        $for M in range(ROW_TILE):
          vst1_lane_u32((void*) o${M}, vreinterpret_u32_f16(vacc${M}x0123), 0); o${M} += 2;
          vacc${M}x0123 = vext_f16(vacc${M}x0123, vacc${M}x0123, 2);
      }
      if (c & (1 * sizeof(uint16_t))) {
        $for M in range(ROW_TILE):
          vst1_lane_u16(o${M}, vreinterpret_u16_f16(vacc${M}x0123), 0); o${M} += 1;
      }
    }
    $for M in range(ROW_TILE):
      i${M} = (const uint16_t*) ((uintptr_t) i${M} + input_increment);
      o${M} = (uint16_t*) ((uintptr_t) o${M} + output_increment);
    rows = doz(rows, ${ROW_TILE});
  } while (rows != 0);
}