// Auto-generated file. Do not edit!
//   Template: src/f32-sigmoid/wasmsimd-p5-div.c.in
//   Generator: tools/xngen
//
// Copyright 2020 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.

#include <assert.h>

#include <wasm_simd128.h>

#include <xnnpack/common.h>
#include <xnnpack/vunary.h>


void xnn_f32_sigmoid_ukernel__wasmsimd_p5_div_x4(
    size_t n,
    const float* x,
    float* y,
    const void* params) XNN_DISABLE_TSAN
{
  assert(n % sizeof(float) == 0);

  const v128_t vmagic_bias = wasm_f32x4_splat(0x1.8000FEp23f);
  const v128_t vminus_log2e = wasm_f32x4_splat(-0x1.715476p+0f);
  const v128_t vln2_hi = wasm_f32x4_splat(0x1.62E400p-1f);
  const v128_t vln2_lo = wasm_f32x4_splat(0x1.7F7D1Cp-20f);
  const v128_t vc5 = wasm_f32x4_splat(-0x1.0F9F9Cp-7f);
  const v128_t vc4 = wasm_f32x4_splat( 0x1.573A1Ap-5f);
  const v128_t vc3 = wasm_f32x4_splat(-0x1.555A80p-3f);
  const v128_t vc2 = wasm_f32x4_splat( 0x1.FFFDC6p-2f);
  const v128_t vc1 = wasm_f32x4_splat(-0x1.FFFFF6p-1f);
  const v128_t vone = wasm_f32x4_splat(1.0f);
  const v128_t vdenorm_cutoff = wasm_f32x4_splat(0x1.5D589Ep+6f);

  for (; n >= 4 * sizeof(float); n -= 4 * sizeof(float)) {
    const v128_t vx = wasm_v128_load(x);
    x += 4;

    const v128_t vz = wasm_f32x4_abs(vx);

    v128_t vn = wasm_f32x4_add(vmagic_bias, wasm_f32x4_mul(vz, vminus_log2e));
    const v128_t vs = wasm_i32x4_shl(vn, 23);
    vn = wasm_f32x4_sub(vn, vmagic_bias);

    v128_t vt = wasm_f32x4_add(vz, wasm_f32x4_mul(vn, vln2_hi));
    vt = wasm_f32x4_add(vt, wasm_f32x4_mul(vn, vln2_lo));

    v128_t vp = wasm_f32x4_add(vc4, wasm_f32x4_mul(vt, vc5));
    vp = wasm_f32x4_add(vc3, wasm_f32x4_mul(vt, vp));
    vp = wasm_f32x4_add(vc2, wasm_f32x4_mul(vt, vp));
    vp = wasm_f32x4_add(vc1, wasm_f32x4_mul(vt, vp));

    vt = wasm_f32x4_mul(vt, vs);
    const v128_t ve = wasm_f32x4_add(vs, wasm_f32x4_mul(vt, vp));
    const v128_t vd = wasm_f32x4_add(ve, vone);

    v128_t vf = wasm_f32x4_div(ve, vd);
    vf = wasm_v128_andnot(vf, wasm_f32x4_gt(vz, vdenorm_cutoff));
    vf = wasm_v128_bitselect(vf, wasm_f32x4_sub(vone, vf), wasm_i32x4_shr(vx, 31));

    wasm_v128_store(y, vf);
    y += 4;
  }
  if XNN_UNLIKELY(n != 0) {
    const v128_t vx = wasm_v128_load(x);

    const v128_t vz = wasm_f32x4_abs(vx);

    v128_t vn = wasm_f32x4_add(vmagic_bias, wasm_f32x4_mul(vz, vminus_log2e));
    const v128_t vs = wasm_i32x4_shl(vn, 23);
    vn = wasm_f32x4_sub(vn, vmagic_bias);

    v128_t vt = wasm_f32x4_add(vz, wasm_f32x4_mul(vn, vln2_hi));
    vt = wasm_f32x4_add(vt, wasm_f32x4_mul(vn, vln2_lo));

    v128_t vp = wasm_f32x4_add(vc4, wasm_f32x4_mul(vt, vc5));
    vp = wasm_f32x4_add(vc3, wasm_f32x4_mul(vt, vp));
    vp = wasm_f32x4_add(vc2, wasm_f32x4_mul(vt, vp));
    vp = wasm_f32x4_add(vc1, wasm_f32x4_mul(vt, vp));

    vt = wasm_f32x4_mul(vt, vs);
    const v128_t ve = wasm_f32x4_add(vs, wasm_f32x4_mul(vt, vp));
    const v128_t vd = wasm_f32x4_add(ve, vone);

    v128_t vf = wasm_f32x4_div(ve, vd);
    vf = wasm_v128_andnot(vf, wasm_f32x4_gt(vz, vdenorm_cutoff));
    vf = wasm_v128_bitselect(vf, wasm_f32x4_sub(vone, vf), wasm_i32x4_shr(vx, 31));

    if (n & (2 * sizeof(float))) {
      *((double*) y) = wasm_f64x2_extract_lane(vf, 0);
      vf = wasm_v32x4_shuffle(vf, vf, 2, 3, 2, 3);
      y += 2;
    }
    if (n & (1 * sizeof(float))) {
      *y = wasm_f32x4_extract_lane(vf, 0);
    }
  }
}