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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$assert BATCH_TILE % 8 == 0
7$assert BATCH_TILE >= 8
8$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
9#include <assert.h>
10
11#include <immintrin.h>
12
13#include <xnnpack/common.h>
14#include <xnnpack/vbinary.h>
15
16
17static const int32_t mask_table[14] = {-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0};
18
19$ISA = {0: "avx", 3: "fma3"}[FMA]
20void xnn_f32_hswish_ukernel__${ISA}_x${BATCH_TILE}(
21    size_t n,
22    const float* x,
23    float* y,
24    const union xnn_f32_hswish_params params[restrict static 1])
25{
26  assert(n != 0);
27  assert(n % sizeof(float) == 0);
28
29  const __m256 vsixth = _mm256_broadcast_ps((const __m128*) params->sse.sixth);
30  const __m256 vhalf = _mm256_broadcast_ps((const __m128*) params->sse.half);
31  const __m256 vone = _mm256_broadcast_ps((const __m128*) params->sse.one);
32  const __m256 vzero = _mm256_setzero_ps();
33
34  for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
35    const __m256 vx${ABC[0:8]} = _mm256_loadu_ps(x);
36    $for N in range(8, BATCH_TILE, 8):
37      const __m256 vx${ABC[N:N+8]} = _mm256_loadu_ps(x + ${N});
38    x += ${BATCH_TILE};
39
40    $if FMA == 3:
41      $for N in range(0, BATCH_TILE, 8):
42        __m256 vacc${ABC[N:N+8]} = _mm256_fmadd_ps(vx${ABC[N:N+8]}, vsixth, vhalf);
43    $else:
44      $for N in range(0, BATCH_TILE, 8):
45        __m256 vacc${ABC[N:N+8]} = _mm256_mul_ps(vx${ABC[N:N+8]}, vsixth);
46
47      $for N in range(0, BATCH_TILE, 8):
48        vacc${ABC[N:N+8]} = _mm256_add_ps(vacc${ABC[N:N+8]}, vhalf);
49
50    $for N in range(0, BATCH_TILE, 8):
51      vacc${ABC[N:N+8]} = _mm256_max_ps(vacc${ABC[N:N+8]}, vzero);
52
53    $for N in range(0, BATCH_TILE, 8):
54      vacc${ABC[N:N+8]} = _mm256_min_ps(vacc${ABC[N:N+8]}, vone);
55
56    $for N in range(0, BATCH_TILE, 8):
57      vacc${ABC[N:N+8]} = _mm256_mul_ps(vacc${ABC[N:N+8]}, vx${ABC[N:N+8]});
58
59    _mm256_storeu_ps(y, vacc${ABC[0:8]});
60    $for N in range(8, BATCH_TILE, 8):
61      _mm256_storeu_ps(y + ${N}, vacc${ABC[N:N+8]});
62    y += ${BATCH_TILE};
63  }
64  $if BATCH_TILE >= 8:
65    for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) {
66      const __m256 vx = _mm256_loadu_ps(x);
67      x += 8;
68      $if FMA == 3:
69        __m256 vacc = _mm256_fmadd_ps(vx, vsixth, vhalf);
70      $else:
71        __m256 vacc = _mm256_mul_ps(vx, vsixth);
72        vacc = _mm256_add_ps(vacc, vhalf);
73      vacc = _mm256_max_ps(vacc, vzero);
74      vacc = _mm256_min_ps(vacc, vone);
75      vacc = _mm256_mul_ps(vacc, vx);
76      _mm256_storeu_ps(y, vacc);
77      y += 8;
78    }
79  if XNN_UNLIKELY(n != 0) {
80    assert(n >= 1 * sizeof(float));
81    assert(n <= 7 * sizeof(float));
82    __m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &mask_table[7] - n));
83
84    const __m256 vx = _mm256_maskload_ps(x, vmask);
85    $if FMA == 3:
86      __m256 vacc = _mm256_fmadd_ps(vx, vsixth, vhalf);
87    $else:
88      __m256 vacc = _mm256_mul_ps(vx, vsixth);
89      vacc = _mm256_add_ps(vacc, vhalf);
90    vacc = _mm256_max_ps(vacc, vzero);
91    vacc = _mm256_min_ps(vacc, vone);
92    vacc = _mm256_mul_ps(vacc, vx);
93
94    // _mm256_maskstore_ps(y, vmask, vacc) could be used here, but triggers msan failures (probably an msan bug).
95    __m128 vacc_lo = _mm256_castps256_ps128(vacc);
96    if (n & (4 * sizeof(float))) {
97      _mm_storeu_ps(y, vacc_lo);
98      vacc_lo = _mm256_extractf128_ps(vacc, 1);
99      y += 4;
100    }
101    if (n & (2 * sizeof(float))) {
102      _mm_storel_pi((__m64*) y, vacc_lo);
103      vacc_lo = _mm_movehl_ps(vacc_lo, vacc_lo);
104      y += 2;
105    }
106    if (n & (1 * sizeof(float))) {
107      _mm_store_ss(y, vacc_lo);
108    }
109  }
110}
111