// 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.

$assert BATCH_TILE % 4 == 0
$assert BATCH_TILE >= 4
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>

#include <wasm_simd128.h>

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


void xnn_f32_vsigmoid_ukernel__wasmsimd_rr2_p5_div_x${BATCH_TILE}(
    size_t n,
    const float* x,
    float* y,
    const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
  assert(n % sizeof(float) == 0);

  const v128_t vmagic_bias = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.magic_bias);
  const v128_t vminus_log2e = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.minus_log2e);
  const v128_t vln2_hi = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.ln2_hi);
  const v128_t vln2_lo = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.ln2_lo);
  const v128_t vc5 = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.c5);
  const v128_t vc4 = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.c4);
  const v128_t vc3 = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.c3);
  const v128_t vc2 = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.c2);
  const v128_t vc1 = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.c1);
  const v128_t vone = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.one);
  const v128_t vdenorm_cutoff = wasm_v128_load64_splat(params->wasmsimd_rr2_p5.denorm_cutoff);

  $if BATCH_TILE > 4:
    for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
      const v128_t vx${ABC[0:4]} = wasm_v128_load(x);
      $for N in range(4, BATCH_TILE, 4):
        const v128_t vx${ABC[N:N+4]} = wasm_v128_load(x + ${N});
      x += ${BATCH_TILE};

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vz${ABC[N:N+4]} = wasm_f32x4_abs(vx${ABC[N:N+4]});

      $for N in range(0, BATCH_TILE, 4):
        v128_t vn${ABC[N:N+4]} = wasm_f32x4_add(vmagic_bias, wasm_f32x4_mul(vz${ABC[N:N+4]}, vminus_log2e));

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vs${ABC[N:N+4]} = wasm_i32x4_shl(vn${ABC[N:N+4]}, 23);

      $for N in range(0, BATCH_TILE, 4):
        vn${ABC[N:N+4]} = wasm_f32x4_sub(vn${ABC[N:N+4]}, vmagic_bias);

      $for N in range(0, BATCH_TILE, 4):
        v128_t vt${ABC[N:N+4]} = wasm_f32x4_add(vz${ABC[N:N+4]}, wasm_f32x4_mul(vn${ABC[N:N+4]}, vln2_hi));

      $for N in range(0, BATCH_TILE, 4):
        vt${ABC[N:N+4]} = wasm_f32x4_add(vt${ABC[N:N+4]}, wasm_f32x4_mul(vn${ABC[N:N+4]}, vln2_lo));

      $for N in range(0, BATCH_TILE, 4):
        v128_t vp${ABC[N:N+4]} = wasm_f32x4_add(vc4, wasm_f32x4_mul(vt${ABC[N:N+4]}, vc5));

      $for N in range(0, BATCH_TILE, 4):
        vp${ABC[N:N+4]} = wasm_f32x4_add(vc3, wasm_f32x4_mul(vt${ABC[N:N+4]}, vp${ABC[N:N+4]}));

      $for N in range(0, BATCH_TILE, 4):
        vp${ABC[N:N+4]} = wasm_f32x4_add(vc2, wasm_f32x4_mul(vt${ABC[N:N+4]}, vp${ABC[N:N+4]}));

      $for N in range(0, BATCH_TILE, 4):
        vp${ABC[N:N+4]} = wasm_f32x4_add(vc1, wasm_f32x4_mul(vt${ABC[N:N+4]}, vp${ABC[N:N+4]}));

      $for N in range(0, BATCH_TILE, 4):
        vt${ABC[N:N+4]} = wasm_f32x4_mul(vt${ABC[N:N+4]}, vs${ABC[N:N+4]});

      $for N in range(0, BATCH_TILE, 4):
        const v128_t ve${ABC[N:N+4]} = wasm_f32x4_add(vs${ABC[N:N+4]}, wasm_f32x4_mul(vt${ABC[N:N+4]}, vp${ABC[N:N+4]}));

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vd${ABC[N:N+4]} = wasm_f32x4_add(ve${ABC[N:N+4]}, vone);

      $for N in range(0, BATCH_TILE, 4):
        v128_t vf${ABC[N:N+4]} = wasm_f32x4_div(ve${ABC[N:N+4]}, vd${ABC[N:N+4]});

      $for N in range(0, BATCH_TILE, 4):
        vf${ABC[N:N+4]} = wasm_v128_andnot(vf${ABC[N:N+4]}, wasm_f32x4_gt(vz${ABC[N:N+4]}, vdenorm_cutoff));

      $for N in range(0, BATCH_TILE, 4):
        vf${ABC[N:N+4]} = wasm_v128_bitselect(vf${ABC[N:N+4]}, wasm_f32x4_sub(vone, vf${ABC[N:N+4]}), wasm_i32x4_shr(vx${ABC[N:N+4]}, 31));

      wasm_v128_store(y, vf${ABC[0:4]});
      $for N in range(4, BATCH_TILE, 4):
        wasm_v128_store(y + ${N}, vf${ABC[N:N+4]});
      y += ${BATCH_TILE};
    }
  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);
    }
  }
}