// 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 % 8 == 0
$assert BATCH_TILE >= 8
$SIMD_TILE = BATCH_TILE // 8
#include <assert.h>

#include <immintrin.h>

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


void xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x${BATCH_TILE}(
    size_t n,
    const float* x,
    float* y,
    const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)])
{
  assert(n % sizeof(float) == 0);

  const __m256 vprescale = _mm256_load_ps(params->avx_rr2_lut4_p4.prescale);
  const __m256 valpha = _mm256_load_ps(params->avx_rr2_lut4_p4.alpha);
  const __m256 vbeta = _mm256_load_ps(params->avx_rr2_lut4_p4.beta);
  const __m256 vsat_cutoff = _mm256_load_ps(params->avx_rr2_lut4_p4.sat_cutoff);
  const __m256 vmagic_bias = _mm256_load_ps(params->avx_rr2_lut4_p4.magic_bias);
  const __m256 vlog2e = _mm256_load_ps(params->avx_rr2_lut4_p4.log2e);
  const __m256 vindex_mask = _mm256_load_ps((const float*) params->avx_rr2_lut4_p4.index_mask);
  const __m256 vtable = _mm256_load_ps(params->avx_rr2_lut4_p4.table);
  const __m256 vminus_ln2_hi = _mm256_load_ps(params->avx_rr2_lut4_p4.minus_ln2_hi);
  const __m256 vminus_ln2_lo = _mm256_load_ps(params->avx_rr2_lut4_p4.minus_ln2_lo);
  const __m256 vc4 = _mm256_load_ps(params->avx_rr2_lut4_p4.c4);
  const __m256 vc3 = _mm256_load_ps(params->avx_rr2_lut4_p4.c3);
  const __m256 vc2 = _mm256_load_ps(params->avx_rr2_lut4_p4.c2);
  const __m256 vone = _mm256_load_ps(params->avx_rr2_lut4_p4.one);

  $if BATCH_TILE > 8:
    for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
      __m256 vx0 = _mm256_loadu_ps(x);
      $for N in range(1, SIMD_TILE):
        __m256 vx${N} = _mm256_loadu_ps(x + ${N * 8});
      x += ${BATCH_TILE};

      $for N in range(SIMD_TILE):
        const __m256 vz${N} = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx${N}, vprescale));

      $for N in range(SIMD_TILE):
        __m256 vn${N} = _mm256_add_ps(_mm256_mul_ps(vz${N}, vlog2e), vmagic_bias);

      $for N in range(SIMD_TILE):
        __m256 ven${N} = _mm256_andnot_ps(vindex_mask, vn${N});
        const __m256 vl${N} = _mm256_permutevar_ps(vtable, _mm256_castps_si256(vn${N}));
        const __m128 ven${N}_lo = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_castps256_ps128(ven${N})), 21));

      $for N in range(SIMD_TILE):
        vn${N} = _mm256_sub_ps(vn${N}, vmagic_bias);
        const __m128 ven${N}_hi = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_extractf128_ps(ven${N}, 1)), 21));

      $for N in range(SIMD_TILE):
        __m256 vt${N} = _mm256_add_ps(_mm256_mul_ps(vn${N}, vminus_ln2_hi), vz${N});
        ven${N} = _mm256_insertf128_ps(_mm256_castps128_ps256(ven${N}_lo), ven${N}_hi, 1);

      $for N in range(SIMD_TILE):
        vt${N} = _mm256_add_ps(_mm256_mul_ps(vn${N}, vminus_ln2_lo), vt${N});
        __m256 vs${N} = _mm256_mul_ps(vl${N}, ven${N});

      $for N in range(SIMD_TILE):
        __m256 vp${N} = _mm256_add_ps(_mm256_mul_ps(vc4, vt${N}), vc3);

      $for N in range(SIMD_TILE):
        vp${N} = _mm256_add_ps(_mm256_mul_ps(vp${N}, vt${N}), vc2);

      $for N in range(SIMD_TILE):
        vp${N} = _mm256_mul_ps(vp${N}, vt${N});

      $for N in range(SIMD_TILE):
        vt${N} = _mm256_mul_ps(vt${N}, vs${N});
        vs${N} = _mm256_sub_ps(vs${N}, vone);

      $for N in range(SIMD_TILE):
        vp${N} = _mm256_add_ps(_mm256_mul_ps(vp${N}, vt${N}), vt${N});

      $for N in range(SIMD_TILE):
        const __m256 ve${N} = _mm256_mul_ps(_mm256_add_ps(vp${N}, vs${N}), valpha);
        vx${N} = _mm256_mul_ps(vx${N}, vbeta);

      $for N in range(SIMD_TILE):
        const __m256 vy${N} = _mm256_blendv_ps(vx${N}, ve${N}, vx${N});

      _mm256_storeu_ps(y, vy0);
      $for N in range(1, SIMD_TILE):
        _mm256_storeu_ps(y + ${N * 8}, vy${N});
      y += ${BATCH_TILE};
    }
  for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) {
    __m256 vx = _mm256_loadu_ps(x);
    x += 8;

    const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale));

    __m256 vn = _mm256_add_ps(_mm256_mul_ps(vz, vlog2e), vmagic_bias);
    __m256 ven = _mm256_andnot_ps(vindex_mask, vn);
    const __m256 vl = _mm256_permutevar_ps(vtable, _mm256_castps_si256(vn));
    const __m128 ven_lo = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_castps256_ps128(ven)), 21));
    vn = _mm256_sub_ps(vn, vmagic_bias);
    const __m128 ven_hi = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_extractf128_ps(ven, 1)), 21));

    __m256 vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_hi), vz);
    ven = _mm256_insertf128_ps(_mm256_castps128_ps256(ven_lo), ven_hi, 1);
    vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_lo), vt);
    __m256 vs = _mm256_mul_ps(vl, ven);

    __m256 vp = _mm256_add_ps(_mm256_mul_ps(vc4, vt), vc3);
    vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vc2);
    vp = _mm256_mul_ps(vp, vt);

    vt = _mm256_mul_ps(vt, vs);
    vs = _mm256_sub_ps(vs, vone);
    vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vt);

    const __m256 ve = _mm256_mul_ps(_mm256_add_ps(vp, vs), valpha);
    vx = _mm256_mul_ps(vx, vbeta);
    const __m256 vy = _mm256_blendv_ps(vx, ve, vx);

    _mm256_storeu_ps(y, vy);
    y += 8;
  }
  if XNN_UNLIKELY(n != 0) {
    assert(n >= 1 * sizeof(float));
    assert(n <= 7 * sizeof(float));
    const __m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &params->avx_rr2_p6.mask_table[7] - n));

    __m256 vx = _mm256_maskload_ps(x, vmask);

    const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale));

    __m256 vn = _mm256_add_ps(_mm256_mul_ps(vz, vlog2e), vmagic_bias);
    __m256 ven = _mm256_andnot_ps(vindex_mask, vn);
    const __m256 vl = _mm256_permutevar_ps(vtable, _mm256_castps_si256(vn));
    const __m128 ven_lo = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_castps256_ps128(ven)), 21));
    vn = _mm256_sub_ps(vn, vmagic_bias);
    const __m128 ven_hi = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_extractf128_ps(ven, 1)), 21));

    __m256 vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_hi), vz);
    ven = _mm256_insertf128_ps(_mm256_castps128_ps256(ven_lo), ven_hi, 1);
    vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_lo), vt);
    __m256 vs = _mm256_mul_ps(vl, ven);

    __m256 vp = _mm256_add_ps(_mm256_mul_ps(vc4, vt), vc3);
    vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vc2);
    vp = _mm256_mul_ps(vp, vt);

    vt = _mm256_mul_ps(vt, vs);
    vs = _mm256_sub_ps(vs, vone);
    vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vt);

    const __m256 ve = _mm256_mul_ps(_mm256_add_ps(vp, vs), valpha);
    vx = _mm256_mul_ps(vx, vbeta);
    const __m256 vy = _mm256_blendv_ps(vx, ve, vx);

    __m128 vy_lo = _mm256_castps256_ps128(vy);
    if (n & (4 * sizeof(float))) {
      _mm_storeu_ps(y, vy_lo);
      vy_lo = _mm256_extractf128_ps(vy, 1);
      y += 4;
    }
    if (n & (2 * sizeof(float))) {
      _mm_storel_pi((__m64*) y, vy_lo);
      vy_lo = _mm_movehl_ps(vy_lo, vy_lo);
      y += 2;
    }
    if (n & (1 * sizeof(float))) {
      _mm_store_ss(y, vy_lo);
    }
  }
}