xref: /aosp_15_r20/external/XNNPACK/src/f32-vunary/avx.c.in (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)
1// Copyright 2020 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$assert BATCH_TILE % 8 == 0
7$assert BATCH_TILE >= 8
8$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
9$assert OP in ["ABS", "NEG", "SQR"]
10#include <assert.h>
11
12#include <immintrin.h>
13
14#include <xnnpack/common.h>
15#include <xnnpack/vunary.h>
16
17
18$_MM256_OP_PS = {
19$  "ABS": lambda x: "_mm256_and_ps(%s, vnonsign_mask)" % x,
20$  "NEG": lambda x: "_mm256_xor_ps(%s, vsign_mask)" % x,
21$  "SQR": lambda x: "_mm256_mul_ps(%s, %s)" % (x, x),
22$}[OP]
23$PARAMS = {
24$  "ABS": "xnn_f32_abs_params",
25$  "NEG": "xnn_f32_neg_params",
26$  "SQR": "xnn_f32_default_params",
27$}[OP]
28void xnn_f32_v${OP.lower()}_ukernel__avx_x${BATCH_TILE}(
29    size_t n,
30    const float* x,
31    float* y,
32    const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)])
33{
34  assert(n != 0);
35  assert(n % sizeof(float) == 0);
36  assert(x != NULL);
37  assert(y != NULL);
38
39  $if OP == "ABS":
40    const __m256 vnonsign_mask = _mm256_load_ps(params->avx.nonsign_mask);
41  $elif OP == "NEG":
42    const __m256 vsign_mask = _mm256_load_ps(params->sse.sign_mask);
43  for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
44    const __m256 vx${ABC[0:8]} = _mm256_loadu_ps(x);
45    $for N in range(8, BATCH_TILE, 8):
46      const __m256 vx${ABC[N:N+8]} = _mm256_loadu_ps(x + ${N});
47    x += ${BATCH_TILE};
48
49    $for N in range(0, BATCH_TILE, 8):
50      const __m256 vy${ABC[N:N+8]} = ${_MM256_OP_PS("vx" + ABC[N:N+8])};
51
52    _mm256_storeu_ps(y, vy${ABC[0:8]});
53    $for N in range(8, BATCH_TILE, 8):
54      _mm256_storeu_ps(y + ${N}, vy${ABC[N:N+8]});
55    y += ${BATCH_TILE};
56  }
57  $if BATCH_TILE > 8:
58    for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) {
59      const __m256 vx = _mm256_loadu_ps(x);
60      x += 8;
61      const __m256 vy = ${_MM256_OP_PS("vx")};
62      _mm256_storeu_ps(y, vy);
63      y += 8;
64    }
65  if XNN_UNLIKELY(n != 0) {
66    assert(n >= 1 * sizeof(float));
67    assert(n <= 7 * sizeof(float));
68    const __m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &params->avx.mask_table[7] - n));
69
70    const __m256 vx = _mm256_maskload_ps(x, vmask);
71    const __m256 vy = ${_MM256_OP_PS("vx")};
72
73    __m128 vy_lo = _mm256_castps256_ps128(vy);
74    if (n & (4 * sizeof(float))) {
75      _mm_storeu_ps(y, vy_lo);
76      vy_lo = _mm256_extractf128_ps(vy, 1);
77      y += 4;
78    }
79    if (n & (2 * sizeof(float))) {
80      _mm_storel_pi((__m64*) y, vy_lo);
81      vy_lo = _mm_movehl_ps(vy_lo, vy_lo);
82      y += 2;
83    }
84    if (n & (1 * sizeof(float))) {
85      _mm_store_ss(y, vy_lo);
86    }
87  }
88}
89