Hugging Face's logo

Androidonnxfork
/
test

Model card Files Community
6
test
File size: 5,540 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
 
// Copyright 2022 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 <immintrin.h>

#include <xnnpack/intrinsics-polyfill.h>
#include <xnnpack/math.h>
#include <xnnpack/prelu.h>


void xnn_f16_prelu_ukernel__f16c_${ROW_TILE}x${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 -= ${CHANNEL_TILE} * sizeof(uint16_t)) {
        const __m256 vw${ABC[0:8]} = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) w));
        $for C in range(8, CHANNEL_TILE, 8):
          const __m256 vw${ABC[C:C+8]} = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) (w + ${C})));
        w += ${CHANNEL_TILE};

        $for M in range(ROW_TILE):
          const __m256 vi${M}x0${ABC[0:8]} = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i${M}));
          $for C in range(8, CHANNEL_TILE, 8):
            const __m256 vi${M}x0${ABC[C:C+8]} = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) (i${M} + ${C})));
          i${M} += ${CHANNEL_TILE};

        $for M in range(ROW_TILE):
          $for C in range(0, CHANNEL_TILE, 8):
            __m256 vacc${M}x0${ABC[C:C+8]} = _mm256_mul_ps(vi${M}x0${ABC[C:C+8]}, vw${ABC[C:C+8]});

        $for M in range(ROW_TILE):
          $for C in range(0, CHANNEL_TILE, 8):
            vacc${M}x0${ABC[C:C+8]} = _mm256_blendv_ps(vi${M}x0${ABC[C:C+8]}, vacc${M}x0${ABC[C:C+8]}, vi${M}x0${ABC[C:C+8]});

        $for M in range(ROW_TILE):
          _mm_storeu_si128((__m128i*) o${M}, _mm256_cvtps_ph(vacc${M}x0${ABC[C:C+8]}, _MM_FROUND_TO_NEAREST_INT));
          $for C in range(0, CHANNEL_TILE, 8):
            _mm_storeu_si128((__m128i*) (o${M} + ${C}), _mm256_cvtps_ph(vacc${M}x0${ABC[C:C+8]}, _MM_FROUND_TO_NEAREST_INT));
          o${M} += ${CHANNEL_TILE};
      }
    for (; c >= 8 * sizeof(uint16_t); c -= 8 * sizeof(uint16_t)) {
      const __m256 vw01234567 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) w));
      w += 8;

      $for M in range(ROW_TILE):
        const __m256 vi${M}x01234567 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i${M}));
        i${M} += 8;

      $for M in range(ROW_TILE):
        __m256 vacc${M}x01234567 = _mm256_mul_ps(vi${M}x01234567, vw01234567);

      $for M in range(ROW_TILE):
        vacc${M}x01234567 = _mm256_blendv_ps(vi${M}x01234567, vacc${M}x01234567, vi${M}x01234567);

      $for M in range(ROW_TILE):
        _mm_storeu_si128((__m128i*) o${M}, _mm256_cvtps_ph(vacc${M}x01234567, _MM_FROUND_TO_NEAREST_INT));
        o${M} += 8;
    }
    if XNN_UNLIKELY(c != 0) {
      const __m256 vw01234567 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) w));

      $for M in range(ROW_TILE):
        const __m256 vi${M}x01234567 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i${M}));
        i${M} = (const uint16_t*) ((uintptr_t) i${M} + c);

      $for M in range(ROW_TILE):
        __m256 vacc${M}x01234567 = _mm256_mul_ps(vi${M}x01234567, vw01234567);

      $for M in range(ROW_TILE):
        vacc${M}x01234567 = _mm256_blendv_ps(vi${M}x01234567, vacc${M}x01234567, vi${M}x01234567);

      $for M in range(ROW_TILE):
        __m128i vh${M}x01234567 = _mm256_cvtps_ph(vacc${M}x01234567, _MM_FROUND_TO_NEAREST_INT);
      if (c & (4 * sizeof(uint16_t))) {
        $for M in range(ROW_TILE):
          _mm_storel_epi64((__m128i*) o${M}, vh${M}x01234567);

        $for M in range(ROW_TILE):
          vh${M}x01234567 = _mm_unpackhi_epi64(vh${M}x01234567, vh${M}x01234567);

        $for M in range(ROW_TILE):
          o${M} += 4;
      }
      if (c & (2 * sizeof(uint16_t))) {
        $for M in range(ROW_TILE):
          _mm_storeu_si32(o${M}, vh${M}x01234567);

        $for M in range(ROW_TILE):
          vh${M}x01234567 = _mm_srli_epi64(vh${M}x01234567, 32);

        $for M in range(ROW_TILE):
          o${M} += 2;
      }
      if (c & (1 * sizeof(uint16_t))) {
        $for M in range(ROW_TILE):
          *o${M} = (uint16_t) _mm_extract_epi16(vh${M}x01234567, 0);

        $for M in range(ROW_TILE):
          o${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);
}