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Marat Dukhanc07cb7f2019-11-14 15:32:05 -08001// 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$assert BATCH_TILE >= 1
7$ABC = "0123456789ABCDEFGHIJKLMN"
8$assert OP in ["ADD", "MUL", "SUB"]
9#include <assert.h>
10
11#include <xnnpack/common.h>
12#include <xnnpack/math.h>
Marat Dukhan1e782c42019-11-21 17:02:40 -080013#include <xnnpack/vbinary.h>
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080014
15
Marat Dukhan436ebe62019-12-04 15:10:12 -080016$MIN_F32 = "__builtin_wasm_min_f32" if WASM else "math_min_f32"
17$MAX_F32 = "__builtin_wasm_max_f32" if WASM else "math_max_f32"
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080018$OP_FUNC = {
19$ "ADD": lambda x, y: "%s + %s" % (x, y),
20$ "MUL": lambda x, y: "%s * %s" % (x, y),
21$ "SUB": lambda x, y: "%s - %s" % (x, y),
22$}[OP]
Marat Dukhan436ebe62019-12-04 15:10:12 -080023void xnn_f32_v${OP.lower()}_ukernel__${"wasm" if WASM else "scalar"}_x${BATCH_TILE}(
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080024 size_t n,
25 const float* a,
26 const float* b,
27 float* y,
28 const union xnn_f32_output_params params[restrict static 1])
29{
30 assert(n != 0);
31 assert(n % sizeof(float) == 0);
32
33 const float vy_min = params->scalar.min;
34 const float vy_max = params->scalar.max;
35
36 $if BATCH_TILE > 1:
37 for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
38 $for N in range(BATCH_TILE):
39 const float va${ABC[N]} = a[${N}];
40 a += ${BATCH_TILE};
41
42 $for N in range(BATCH_TILE):
43 const float vb${ABC[N]} = b[${N}];
44 b += ${BATCH_TILE};
45
46 $for N in range(BATCH_TILE):
47 float vy${ABC[N]} = ${OP_FUNC("va" + ABC[N], "vb" + ABC[N])};
48
49 $for N in range(BATCH_TILE):
Marat Dukhan436ebe62019-12-04 15:10:12 -080050 vy${ABC[N]} = ${MAX_F32}(vy${ABC[N]}, vy_min);
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080051
52 $for N in range(BATCH_TILE):
Marat Dukhan436ebe62019-12-04 15:10:12 -080053 vy${ABC[N]} = ${MIN_F32}(vy${ABC[N]}, vy_max);
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080054
55 $for N in range(BATCH_TILE):
56 y[${N}] = vy${ABC[N]};
57 y += ${BATCH_TILE};
58 }
59 if XNN_UNLIKELY(n != 0) {
60 $if BATCH_TILE > 2:
61 do {
62 const float va = *a++;
63 const float vb = *b++;
64 float vy = ${OP_FUNC("va", "vb")};
Marat Dukhan436ebe62019-12-04 15:10:12 -080065 vy = ${MAX_F32}(vy, vy_min);
66 vy = ${MIN_F32}(vy, vy_max);
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080067 *y++ = vy;
68 n -= sizeof(float);
69 } while (n != 0);
70 $else:
71 const float va = *a;
72 const float vb = *b;
73 float vy = ${OP_FUNC("va", "vb")};
Marat Dukhan436ebe62019-12-04 15:10:12 -080074 vy = ${MAX_F32}(vy, vy_min);
75 vy = ${MIN_F32}(vy, vy_max);
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080076 *y = vy;
77 }
78 $else:
79 for (; n >= sizeof(float); n -= sizeof(float)) {
80 const float va = *a++;
81 const float vb = *b++;
82 float vy = ${OP_FUNC("va", "vb")};
Marat Dukhan436ebe62019-12-04 15:10:12 -080083 vy = ${MAX_F32}(vy, vy_min);
84 vy = ${MIN_F32}(vy, vy_max);
Marat Dukhanc07cb7f2019-11-14 15:32:05 -080085 *y++ = vy;
86 }
87}