// 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 <emmintrin.h>

#include "xnnpack/common.h"
#include "xnnpack/math.h"
#include "xnnpack/vunary.h"


void xnn_f32_vrndu_ukernel__sse2_u${BATCH_TILE}(
    size_t batch,
    const float* input,
    float* output,
    const struct xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
  assert(batch != 0);
  assert(batch % sizeof(float) == 0);
  assert(input != NULL);
  assert(output != NULL);

  const __m128i vmagic = _mm_castps_si128(_mm_set1_ps(-0.0f));
  const __m128 vone = _mm_set1_ps(1.0f);
  for (; batch >= ${BATCH_TILE} * sizeof(float); batch -= ${BATCH_TILE} * sizeof(float)) {
    const __m128 vx${ABC[0:4]} = _mm_loadu_ps(input);
    $for N in range(4, BATCH_TILE, 4):
      const __m128 vx${ABC[N:N+4]} = _mm_loadu_ps(input + ${N});
    input += ${BATCH_TILE};

    $for N in range(0, BATCH_TILE, 4):
      const __m128i vintx${ABC[N:N+4]} = _mm_cvttps_epi32(vx${ABC[N:N+4]});

    $for N in range(0, BATCH_TILE, 4):
      const __m128 vrndmask${ABC[N:N+4]} = _mm_castsi128_ps(_mm_or_si128(vmagic, _mm_cmpeq_epi32(vintx${ABC[N:N+4]}, vmagic)));

    $for N in range(0, BATCH_TILE, 4):
      const __m128 vprerndx${ABC[N:N+4]} = _mm_cvtepi32_ps(vintx${ABC[N:N+4]});

    $for N in range(0, BATCH_TILE, 4):
      const __m128 vrndx${ABC[N:N+4]} = _mm_or_ps(_mm_and_ps(vx${ABC[N:N+4]}, vrndmask${ABC[N:N+4]}), _mm_andnot_ps(vrndmask${ABC[N:N+4]}, vprerndx${ABC[N:N+4]}));

    $for N in range(0, BATCH_TILE, 4):
      const __m128 vadjmask${ABC[N:N+4]} = _mm_or_ps(_mm_cmpge_ps(vrndx${ABC[N:N+4]}, vx${ABC[N:N+4]}), _mm_castsi128_ps(vmagic));

    $for N in range(0, BATCH_TILE, 4):
      const __m128 vadjrndx${ABC[N:N+4]} = _mm_add_ps(vrndx${ABC[N:N+4]}, vone);

    $for N in range(0, BATCH_TILE, 4):
      const __m128 vy${ABC[N:N+4]} = _mm_or_ps(_mm_and_ps(vrndx${ABC[N:N+4]}, vadjmask${ABC[N:N+4]}), _mm_andnot_ps(vadjmask${ABC[N:N+4]}, vadjrndx${ABC[N:N+4]}));

    _mm_storeu_ps(output, vy${ABC[0:4]});
    $for N in range(4, BATCH_TILE, 4):
      _mm_storeu_ps(output + ${N}, vy${ABC[N:N+4]});
    output += ${BATCH_TILE};
  }
  $if BATCH_TILE > 4:
    for (; batch >= 4 * sizeof(float); batch -= 4 * sizeof(float)) {
      const __m128 vx = _mm_loadu_ps(input);
      input += 4;

      const __m128i vintx = _mm_cvttps_epi32(vx);
      const __m128 vrndmask = _mm_castsi128_ps(_mm_or_si128(vmagic, _mm_cmpeq_epi32(vintx, vmagic)));
      const __m128 vprerndx = _mm_cvtepi32_ps(vintx);
      const __m128 vrndx = _mm_or_ps(_mm_and_ps(vx, vrndmask), _mm_andnot_ps(vrndmask, vprerndx));
      const __m128 vadjmask = _mm_or_ps(_mm_cmpge_ps(vrndx, vx), _mm_castsi128_ps(vmagic));
      const __m128 vadjrndx = _mm_add_ps(vrndx, vone);
      const __m128 vy = _mm_or_ps(_mm_and_ps(vrndx, vadjmask), _mm_andnot_ps(vadjmask, vadjrndx));

      _mm_storeu_ps(output, vy);
      output += 4;
    }
  if XNN_UNLIKELY(batch != 0) {
    const __m128 vx = _mm_loadu_ps(input);
    const __m128i vintx = _mm_cvttps_epi32(vx);
    const __m128 vrndmask = _mm_castsi128_ps(_mm_or_si128(vmagic, _mm_cmpeq_epi32(vintx, vmagic)));
    const __m128 vprerndx = _mm_cvtepi32_ps(vintx);
    const __m128 vrndx = _mm_or_ps(_mm_and_ps(vx, vrndmask), _mm_andnot_ps(vrndmask, vprerndx));
    const __m128 vadjmask = _mm_or_ps(_mm_cmpge_ps(vrndx, vx), _mm_castsi128_ps(vmagic));
    const __m128 vadjrndx = _mm_add_ps(vrndx, vone);
    __m128 vy = _mm_or_ps(_mm_and_ps(vrndx, vadjmask), _mm_andnot_ps(vadjmask, vadjrndx));
    if (batch & (2 * sizeof(float))) {
      _mm_storel_pi((__m64*) output, vy);
      vy = _mm_movehl_ps(vy, vy);
      output += 2;
    }
    if (batch & (1 * sizeof(float))) {
      _mm_store_ss(output, vy);
    }
  }
}