xref: /aosp_15_r20/external/XNNPACK/src/f32-igemm/scalar.c.in (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)
1// Copyright 2019 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$assert ACTIVATION in ["LINEAR", "RELU", "MINMAX"]
7$assert ACTIVATION != "LINEAR" or not WASM
8#include <assert.h>
9
10#include <xnnpack/igemm.h>
11#include <xnnpack/math.h>
12
13
14$MIN_F32 = "__builtin_wasm_min_f32" if WASM else "math_min_f32"
15$MAX_F32 = "__builtin_wasm_max_f32" if WASM else "math_max_f32"
16$SUFFIX = {"LINEAR": "", "RELU": "_relu", "MINMAX": "_minmax"}[ACTIVATION]
17$PARAMS = {"LINEAR": "xnn_f32_default_params", "RELU": "xnn_f32_relu_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION]
18void xnn_f32_igemm${SUFFIX}_ukernel_${MR}x${NR}__${"wasm" if WASM else "scalar"}(
19    size_t mr,
20    size_t nc,
21    size_t kc,
22    size_t ks,
23    const float**restrict a,
24    const float*restrict w,
25    float*restrict c,
26    size_t cm_stride,
27    size_t cn_stride,
28    size_t a_offset,
29    const float* zero,
30    const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)])
31{
32  assert(mr != 0);
33  assert(mr <= ${MR});
34  assert(nc != 0);
35  assert(kc != 0);
36  assert(kc % sizeof(float) == 0);
37  assert(ks != 0);
38  assert(ks % (${MR} * sizeof(void*)) == 0);
39  assert(a_offset % sizeof(float) == 0);
40  assert(a != NULL);
41  assert(w != NULL);
42  assert(c != NULL);
43
44  float* c0 = c;
45  $for M in range(1, MR):
46    float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride);
47    $if M % 2 == 0:
48      if XNN_UNPREDICTABLE(mr <= ${M}) {
49        c${M} = c${M-1};
50      }
51    $elif M + 1 == MR:
52      if XNN_UNPREDICTABLE(mr != ${M+1}) {
53        c${M} = c${M-1};
54      }
55    $else:
56      if XNN_UNPREDICTABLE(mr < ${M+1}) {
57        c${M} = c${M-1};
58      }
59
60  $if ACTIVATION == "MINMAX":
61    const float vmin = params->scalar.min;
62    const float vmax = params->scalar.max;
63  do {
64    $for N in range(NR):
65      float vacc0${N} = w[${N}];
66    $for M in range(1, MR):
67      $for N in range(NR):
68        float vacc${M}${N} = vacc0${N};
69    w += ${NR};
70
71    size_t p = ks;
72    do {
73      $for M in range(MR):
74        const float* restrict a${M} = a[${M}];
75        assert(a${M} != NULL);
76        if XNN_UNPREDICTABLE(a${M} != zero) {
77          a${M} = (const float*) ((uintptr_t) a${M} + a_offset);
78        }
79      a += ${MR};
80
81      size_t k = kc;
82      do {
83        $for M in range(MR):
84          const float va${M} = *a${M}++;
85
86        $for N in range(NR):
87          const float vb${N} = w[${N}];
88        w += ${NR};
89
90        $for M in range(MR):
91          $for N in range(NR):
92            vacc${M}${N} = math_muladd_f32(va${M}, vb${N}, vacc${M}${N});
93
94        k -= sizeof(float);
95      } while (k != 0);
96      p -= ${MR} * sizeof(void*);
97    } while (p != 0);
98
99    $if ACTIVATION == "MINMAX":
100      $for M in range(MR):
101        $for N in range(NR):
102          vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, vmin);
103
104      $for M in range(MR):
105        $for N in range(NR):
106          vacc${M}${N} = ${MIN_F32}(vacc${M}${N}, vmax);
107    $elif ACTIVATION == "RELU":
108      $for M in range(MR):
109        $for N in range(NR):
110          vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, 0.0f);
111
112    if XNN_LIKELY(nc >= ${NR}) {
113      $for M in reversed(range(MR)):
114        $for N in range(NR):
115          c${M}[${N}] = vacc${M}${N};
116        c${M} = (float*) ((uintptr_t) c${M} + cn_stride);
117
118      a = (const float**restrict) ((uintptr_t) a - ks);
119      nc -= ${NR};
120    } else {
121      $for LOG2N in reversed(range(NR.bit_length() - 1)):
122        if (nc & ${1 << LOG2N}) {
123          $for M in reversed(range(MR)):
124            $for N in range(1 << LOG2N):
125              c${M}[${N}] = vacc${M}${N};
126            $if LOG2N != 0:
127              $for N in range(1 << (LOG2N - 1)):
128                vacc${M}${N} = vacc${M}${N + (1 << LOG2N)};
129              c${M} += ${1 << LOG2N};
130        }
131
132      nc = 0;
133    }
134  } while (nc != 0);
135}
136