xref: /aosp_15_r20/external/XNNPACK/src/x8-lut/wasmsimd.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$assert BATCH_TILE >= 16
7$assert BATCH_TILE % 16 == 0
8$SIMD_TILE = BATCH_TILE // 16
9$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
10#include <assert.h>
11
12#include <wasm_simd128.h>
13
14#include <xnnpack/intrinsics-polyfill.h>
15#include <xnnpack/lut.h>
16#include <xnnpack/common.h>
17
18
19void xnn_x8_lut_ukernel__wasmsimd_x${BATCH_TILE}(
20    size_t n,
21    const uint8_t* x,
22    uint8_t* y,
23    const uint8_t t[restrict XNN_MIN_ELEMENTS(256)])
24{
25  assert(n != 0);
26  assert(x != NULL);
27  assert(y != NULL);
28
29  const v128_t vtable0 = wasm_v128_load(t);
30  $for T in range(1, 16):
31    const v128_t vtable${T} = wasm_v128_load(t + ${T * 16});
32  const v128_t voffset = wasm_i8x16_const_splat(16);
33  $if BATCH_TILE > 16:
34    for (; n >= ${BATCH_TILE} * sizeof(uint8_t); n -= ${BATCH_TILE} * sizeof(uint8_t)) {
35      v128_t vx0 = wasm_v128_load(x);
36      $for N in range(1, SIMD_TILE):
37        v128_t vx${N} = wasm_v128_load(x + ${N * 16});
38      x += ${BATCH_TILE};
39
40      $for N in range(SIMD_TILE):
41        v128_t vy${N} = wasm_i8x16_swizzle(vtable0, vx${N});
42
43      $for T in range(1, 16):
44        $for N in range(SIMD_TILE):
45          vx${N} = wasm_i8x16_sub(vx${N}, voffset);
46          vy${N} = wasm_v128_or(vy${N}, wasm_i8x16_swizzle(vtable${T}, vx${N}));
47
48      wasm_v128_store(y, vy0);
49      $for N in range(1, SIMD_TILE):
50        wasm_v128_store(y + ${N * 16}, vy${N});
51      y += ${BATCH_TILE};
52    }
53  for (; n >= 16 * sizeof(uint8_t); n -= 16 * sizeof(uint8_t)) {
54    v128_t vx = wasm_v128_load(x);
55    x += 16;
56
57    v128_t vy = wasm_i8x16_swizzle(vtable0, vx);
58
59    $for T in range(1, 16):
60      vx = wasm_i8x16_sub(vx, voffset);
61      vy = wasm_v128_or(vy, wasm_i8x16_swizzle(vtable${T}, vx));
62
63    wasm_v128_store(y, vy);
64    y += 16;
65  }
66  if XNN_UNLIKELY(n != 0) {
67    v128_t vx = wasm_v128_load(x);
68
69    v128_t vy = wasm_i8x16_swizzle(vtable0, vx);
70
71    $for T in range(1, 16):
72      vx = wasm_i8x16_sub(vx, voffset);
73      vy = wasm_v128_or(vy, wasm_i8x16_swizzle(vtable${T}, vx));
74
75    if (n & (8 * sizeof(uint8_t))) {
76      *((double*) y) = wasm_f64x2_extract_lane(vy, 0);
77      vy = wasm_v64x2_shuffle(vy, vy, 1, 1);
78      y += 8;
79    }
80    if (n & (4 * sizeof(uint8_t))) {
81      *((float*) y) = wasm_f32x4_extract_lane(vy, 0);
82      vy = wasm_u64x2_shr(vy, 32);
83      y += 4;
84    }
85    uint32_t vy_lo = wasm_i32x4_extract_lane(vy, 0);
86    if (n & (2 * sizeof(uint8_t))) {
87      *((uint16_t*) y) = (uint16_t) vy_lo;
88      vy_lo >>= 16;
89      y += 2;
90    }
91    if (n & (1 * sizeof(uint8_t))) {
92      *y = (uint8_t) vy_lo;
93    }
94  }
95}
96