xref: /aosp_15_r20/external/XNNPACK/src/qs8-vadd/scalar.c.in (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)
1// Copyright 2021 Google LLC
2//
3// This source code is licensed under the BSD-style license found in the
4// LICENSE file in the root directory of this source tree.
5
6$assert DATATYPE in ["QS8", "QU8"]
7$assert BATCH_TILE >= 1
8#include <assert.h>
9
10#include <xnnpack/math.h>
11#include <xnnpack/vadd.h>
12
13
14$XINT8_T = {"QS8": "int8_t", "QU8": "uint8_t"}[DATATYPE]
15void xnn_${DATATYPE.lower()}_vadd_minmax_ukernel__scalar_x${BATCH_TILE}(
16    size_t n,
17    const ${XINT8_T}* input_a,
18    const ${XINT8_T}* input_b,
19    ${XINT8_T}* output,
20    const union xnn_${DATATYPE.lower()}_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
21{
22  const int32_t vbias = params->scalar.bias;
23  const int32_t va_multiplier = params->scalar.a_multiplier;
24  const int32_t vb_multiplier = params->scalar.b_multiplier;
25  const uint32_t vshift = params->scalar.shift;
26  const int32_t voutput_min_less_zero_point = params->scalar.output_min_less_zero_point;
27  const int32_t voutput_max_less_zero_point = params->scalar.output_max_less_zero_point;
28  const int32_t voutput_zero_point = params->scalar.output_zero_point;
29
30  $if BATCH_TILE == 1:
31    do {
32      const int32_t va = *input_a++;
33      const int32_t vb = *input_b++;
34      const int32_t vacc = vbias + va * va_multiplier + vb * vb_multiplier;
35
36      int32_t vout = math_asr_s32(vacc, vshift);
37      vout = math_max_s32(vout, voutput_min_less_zero_point);
38      vout = math_min_s32(vout, voutput_max_less_zero_point);
39      *output++ = (${XINT8_T}) (vout + voutput_zero_point);
40
41      n -= sizeof(${XINT8_T});
42    } while (n != 0);
43  $else:
44    for (; n >= ${BATCH_TILE} * sizeof(${XINT8_T}); n -= ${BATCH_TILE} * sizeof(${XINT8_T})) {
45      $for N in range(BATCH_TILE):
46        const int32_t va${N} = input_a[${N}];
47      input_a += ${BATCH_TILE};
48
49      $for N in range(BATCH_TILE):
50        const int32_t vb${N} = input_b[${N}];
51        int32_t vacc${N} = vbias + va${N} * va_multiplier;
52      input_b += ${BATCH_TILE};
53
54      $for N in range(BATCH_TILE):
55        vacc${N} += vb${N} * vb_multiplier;
56
57      $for N in range(BATCH_TILE):
58        int32_t vout${N} = math_asr_s32(vacc${N}, vshift);
59
60      $for N in range(BATCH_TILE):
61        vout${N} = math_max_s32(vout${N}, voutput_min_less_zero_point);
62
63      $for N in range(BATCH_TILE):
64        vout${N} = math_min_s32(vout${N}, voutput_max_less_zero_point);
65
66      $for N in range(BATCH_TILE):
67        vout${N} += voutput_zero_point;
68
69      $for N in range(BATCH_TILE):
70        output[${N}] = (${XINT8_T}) vout${N};
71      output += ${BATCH_TILE};
72    }
73    if XNN_UNLIKELY(n != 0) {
74      $if BATCH_TILE == 2:
75        const int32_t va = *input_a;
76        const int32_t vb = *input_b;
77        const int32_t vacc = vbias + va * va_multiplier + vb * vb_multiplier;
78
79        int32_t vout = math_asr_s32(vacc, vshift);
80        vout = math_max_s32(vout, voutput_min_less_zero_point);
81        vout = math_min_s32(vout, voutput_max_less_zero_point);
82        *output++ = (${XINT8_T}) (vout + voutput_zero_point);
83      $else:
84        do {
85          const int32_t va = *input_a++;
86          const int32_t vb = *input_b++;
87          const int32_t vacc = vbias + va * va_multiplier + vb * vb_multiplier;
88
89          int32_t vout = math_asr_s32(vacc, vshift);
90          vout = math_max_s32(vout, voutput_min_less_zero_point);
91          vout = math_min_s32(vout, voutput_max_less_zero_point);
92          *output++ = (${XINT8_T}) (vout + voutput_zero_point);
93
94          n -= sizeof(${XINT8_T});
95        } while (n != 0);
96    }
97}
98