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


void xnn_f32_vrndd_ukernel__wasmsimd_addsub_x${BATCH_TILE}(
    size_t n,
    const float* x,
    float* y,
    const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
  assert(n != 0);
  assert(n % sizeof(float) == 0);

  const v128_t vsign_mask = wasm_v128_load64_splat(params->wasmsimd.sign_mask);
  const v128_t vmagic_bias = wasm_v128_load64_splat(params->wasmsimd.magic_bias);
  const v128_t vone = wasm_v128_load64_splat(params->wasmsimd.one);
  $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};

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vabsx${ABC[N:N+4]} = wasm_v128_andnot(vx${ABC[N:N+4]}, vsign_mask);

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vrndmask${ABC[N:N+4]} = wasm_v128_or(vsign_mask, wasm_f32x4_le(vmagic_bias, vabsx${ABC[N:N+4]}));

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vrndabsx${ABC[N:N+4]} = wasm_f32x4_sub(wasm_f32x4_add(vabsx${ABC[N:N+4]}, vmagic_bias), vmagic_bias);

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vrndx${ABC[N:N+4]} = wasm_v128_bitselect(vx${ABC[N:N+4]}, vrndabsx${ABC[N:N+4]}, vrndmask${ABC[N:N+4]});

      $for N in range(0, BATCH_TILE, 4):
        const v128_t vy${ABC[N:N+4]} = wasm_f32x4_sub(vrndx${ABC[N:N+4]}, wasm_v128_and(wasm_f32x4_lt(vx${ABC[N:N+4]}, vrndx${ABC[N:N+4]}), vone));

      wasm_v128_store(y, vy${ABC[0:4]});
      $for N in range(4, BATCH_TILE, 4):
        wasm_v128_store(y + ${N}, vy${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 vabsx = wasm_v128_andnot(vx, vsign_mask);
    const v128_t vrndmask = wasm_v128_or(vsign_mask, wasm_f32x4_le(vmagic_bias, vabsx));
    const v128_t vrndabsx = wasm_f32x4_sub(wasm_f32x4_add(vabsx, vmagic_bias), vmagic_bias);
    const v128_t vrndx = wasm_v128_bitselect(vx, vrndabsx, vrndmask);
    const v128_t vy = wasm_f32x4_sub(vrndx, wasm_v128_and(wasm_f32x4_lt(vx, vrndx), vone));

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

    const v128_t vabsx = wasm_v128_andnot(vx, vsign_mask);
    const v128_t vrndmask = wasm_v128_or(vsign_mask, wasm_f32x4_le(vmagic_bias, vabsx));
    const v128_t vrndabsx = wasm_f32x4_sub(wasm_f32x4_add(vabsx, vmagic_bias), vmagic_bias);
    const v128_t vrndx = wasm_v128_bitselect(vx, vrndabsx, vrndmask);
    v128_t vy = wasm_f32x4_sub(vrndx, wasm_v128_and(wasm_f32x4_lt(vx, vrndx), vone));

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