/*
 * Copyright (c) 2016, Alliance for Open Media. All rights reserved
 *
 * This source code is subject to the terms of the BSD 2 Clause License and
 * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
 * was not distributed with this source code in the LICENSE file, you can
 * obtain it at www.aomedia.org/license/software. If the Alliance for Open
 * Media Patent License 1.0 was not distributed with this source code in the
 * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
 */

#include <smmintrin.h>
#include <emmintrin.h>
#include <tmmintrin.h>
#include <float.h>

#include "./av1_rtcd.h"
#include "av1/common/x86/pvq_sse4.h"
#include "../odintrin.h"
#include "av1/common/pvq.h"

#define EPSILON 1e-15f

static __m128 horizontal_sum_ps(__m128 x) {
  x = _mm_add_ps(x, _mm_shuffle_ps(x, x, _MM_SHUFFLE(1, 0, 3, 2)));
  x = _mm_add_ps(x, _mm_shuffle_ps(x, x, _MM_SHUFFLE(2, 3, 0, 1)));
  return x;
}

static __m128i horizontal_sum_epi32(__m128i x) {
  x = _mm_add_epi32(x, _mm_shuffle_epi32(x, _MM_SHUFFLE(1, 0, 3, 2)));
  x = _mm_add_epi32(x, _mm_shuffle_epi32(x, _MM_SHUFFLE(2, 3, 0, 1)));
  return x;
}

static INLINE float rsqrtf(float x) {
  float y;
  _mm_store_ss(&y, _mm_rsqrt_ss(_mm_load_ss(&x)));
  return y;
}

/** Find the codepoint on the given PSphere closest to the desired
 * vector. This is a float-precision PVQ search just to make sure
 * our tests aren't limited by numerical accuracy. It's close to the
 * pvq_search_rdo_double_c implementation, but is not bit accurate and
 * it performs slightly worse on PSNR. One reason is that this code runs
 * more RDO iterations than the C code. It also uses single precision
 * floating point math, whereas the C version uses double precision.
 *
 * @param [in]      xcoeff  input vector to quantize (x in the math doc)
 * @param [in]      n       number of dimensions
 * @param [in]      k       number of pulses
 * @param [out]     ypulse  optimal codevector found (y in the math doc)
 * @param [in]      g2      multiplier for the distortion (typically squared
 *                          gain units)
 * @param [in] pvq_norm_lambda enc->pvq_norm_lambda for quantized RDO
 * @param [in]      prev_k  number of pulses already in ypulse that we should
 *                          reuse for the search (or 0 for a new search)
 * @return                  cosine distance between x and y (between 0 and 1)
 */
double pvq_search_rdo_double_sse4_1(const od_val16 *xcoeff, int n, int k,
                                    int *ypulse, double g2,
                                    double pvq_norm_lambda, int prev_k) {
  int i, j;
  int reuse_pulses = prev_k > 0 && prev_k <= k;
  /* TODO - This blows our 8kB stack space budget and should be fixed when
   converting PVQ to fixed point. */
  float xx = 0, xy = 0, yy = 0;
  float x[MAXN + 3];
  float y[MAXN + 3];
  float sign_y[MAXN + 3];
  for (i = 0; i < n; i++) {
    float tmp = (float)xcoeff[i];
    xx += tmp * tmp;
    x[i] = xcoeff[i];
  }

  x[n] = x[n + 1] = x[n + 2] = 0;
  ypulse[n] = ypulse[n + 1] = ypulse[n + 2] = 0;

  __m128 sums = _mm_setzero_ps();
  for (i = 0; i < n; i += 4) {
    __m128 x4 = _mm_loadu_ps(&x[i]);
    __m128 s4 = _mm_cmplt_ps(x4, _mm_setzero_ps());
    /* Save the sign, we'll put it back later. */
    _mm_storeu_ps(&sign_y[i], s4);
    /* Get rid of the sign. */
    x4 = _mm_andnot_ps(_mm_set_ps1(-0.f), x4);
    sums = _mm_add_ps(sums, x4);
    if (!reuse_pulses) {
      /* Clear y and ypulse in case we don't do the projection. */
      _mm_storeu_ps(&y[i], _mm_setzero_ps());
      _mm_storeu_si128((__m128i *)&ypulse[i], _mm_setzero_si128());
    }
    _mm_storeu_ps(&x[i], x4);
  }
  sums = horizontal_sum_ps(sums);
  int pulses_left = k;
  {
    __m128i pulses_sum;
    __m128 yy4, xy4;
    xy4 = yy4 = _mm_setzero_ps();
    pulses_sum = _mm_setzero_si128();
    if (reuse_pulses) {
      /* We reuse pulses from a previous search so we don't have to search them
          again. */
      for (j = 0; j < n; j += 4) {
        __m128 x4, y4;
        __m128i iy4;
        iy4 = _mm_abs_epi32(_mm_loadu_si128((__m128i *)&ypulse[j]));
        pulses_sum = _mm_add_epi32(pulses_sum, iy4);
        _mm_storeu_si128((__m128i *)&ypulse[j], iy4);
        y4 = _mm_cvtepi32_ps(iy4);
        x4 = _mm_loadu_ps(&x[j]);
        xy4 = _mm_add_ps(xy4, _mm_mul_ps(x4, y4));
        yy4 = _mm_add_ps(yy4, _mm_mul_ps(y4, y4));
        /* Double the y[] vector so we don't have to do it in the search loop.
         */
        _mm_storeu_ps(&y[j], _mm_add_ps(y4, y4));
      }
      pulses_left -= _mm_cvtsi128_si32(horizontal_sum_epi32(pulses_sum));
      xy4 = horizontal_sum_ps(xy4);
      xy = _mm_cvtss_f32(xy4);
      yy4 = horizontal_sum_ps(yy4);
      yy = _mm_cvtss_f32(yy4);
    } else if (k > (n >> 1)) {
      /* Do a pre-search by projecting on the pyramid. */
      __m128 rcp4;
      float sum = _mm_cvtss_f32(sums);
      /* If x is too small, just replace it with a pulse at 0. This prevents
         infinities and NaNs from causing too many pulses to be allocated. Here,
         64 is an
         approximation of infinity. */
      if (sum <= EPSILON) {
        x[0] = 1.f;
        for (i = 1; i < n; i++) {
          x[i] = 0;
        }
        sums = _mm_set_ps1(1.f);
      }
      /* Using k + e with e < 1 guarantees we cannot get more than k pulses. */
      rcp4 = _mm_mul_ps(_mm_set_ps1((float)k + .8f), _mm_rcp_ps(sums));
      xy4 = yy4 = _mm_setzero_ps();
      pulses_sum = _mm_setzero_si128();
      for (j = 0; j < n; j += 4) {
        __m128 rx4, x4, y4;
        __m128i iy4;
        x4 = _mm_loadu_ps(&x[j]);
        rx4 = _mm_mul_ps(x4, rcp4);
        iy4 = _mm_cvttps_epi32(rx4);
        pulses_sum = _mm_add_epi32(pulses_sum, iy4);
        _mm_storeu_si128((__m128i *)&ypulse[j], iy4);
        y4 = _mm_cvtepi32_ps(iy4);
        xy4 = _mm_add_ps(xy4, _mm_mul_ps(x4, y4));
        yy4 = _mm_add_ps(yy4, _mm_mul_ps(y4, y4));
        /* Double the y[] vector so we don't have to do it in the search loop.
         */
        _mm_storeu_ps(&y[j], _mm_add_ps(y4, y4));
      }
      pulses_left -= _mm_cvtsi128_si32(horizontal_sum_epi32(pulses_sum));
      xy = _mm_cvtss_f32(horizontal_sum_ps(xy4));
      yy = _mm_cvtss_f32(horizontal_sum_ps(yy4));
    }
    x[n] = x[n + 1] = x[n + 2] = -100;
    y[n] = y[n + 1] = y[n + 2] = 100;
  }

  /* This should never happen. */
  OD_ASSERT(pulses_left <= n + 3);

  float lambda_delta_rate[MAXN + 3];
  if (pulses_left) {
    /* Hoist lambda to avoid the multiply in the loop. */
    float lambda =
        0.5f * sqrtf(xx) * (float)pvq_norm_lambda / (FLT_MIN + (float)g2);
    float delta_rate = 3.f / n;
    __m128 count = _mm_set_ps(3, 2, 1, 0);
    for (i = 0; i < n; i += 4) {
      _mm_storeu_ps(&lambda_delta_rate[i],
                    _mm_mul_ps(count, _mm_set_ps1(lambda * delta_rate)));
      count = _mm_add_ps(count, _mm_set_ps(4, 4, 4, 4));
    }
  }
  lambda_delta_rate[n] = lambda_delta_rate[n + 1] = lambda_delta_rate[n + 2] =
      1e30f;

  for (i = 0; i < pulses_left; i++) {
    int best_id = 0;
    __m128 xy4, yy4;
    __m128 max, max2;
    __m128i count;
    __m128i pos;

    /* The squared magnitude term gets added anyway, so we might as well
        add it outside the loop. */
    yy = yy + 1;
    xy4 = _mm_load1_ps(&xy);
    yy4 = _mm_load1_ps(&yy);
    max = _mm_setzero_ps();
    pos = _mm_setzero_si128();
    count = _mm_set_epi32(3, 2, 1, 0);
    for (j = 0; j < n; j += 4) {
      __m128 x4, y4, r4;
      x4 = _mm_loadu_ps(&x[j]);
      y4 = _mm_loadu_ps(&y[j]);
      x4 = _mm_add_ps(x4, xy4);
      y4 = _mm_add_ps(y4, yy4);
      y4 = _mm_rsqrt_ps(y4);
      r4 = _mm_mul_ps(x4, y4);
      /* Subtract lambda. */
      r4 = _mm_sub_ps(r4, _mm_loadu_ps(&lambda_delta_rate[j]));
      /* Update the index of the max. */
      pos = _mm_max_epi16(
          pos, _mm_and_si128(count, _mm_castps_si128(_mm_cmpgt_ps(r4, max))));
      /* Update the max. */
      max = _mm_max_ps(max, r4);
      /* Update the indices (+4) */
      count = _mm_add_epi32(count, _mm_set_epi32(4, 4, 4, 4));
    }
    /* Horizontal max. */
    max2 = _mm_max_ps(max, _mm_shuffle_ps(max, max, _MM_SHUFFLE(1, 0, 3, 2)));
    max2 =
        _mm_max_ps(max2, _mm_shuffle_ps(max2, max2, _MM_SHUFFLE(2, 3, 0, 1)));
    /* Now that max2 contains the max at all positions, look at which value(s)
       of the
        partial max is equal to the global max. */
    pos = _mm_and_si128(pos, _mm_castps_si128(_mm_cmpeq_ps(max, max2)));
    pos = _mm_max_epi16(pos, _mm_unpackhi_epi64(pos, pos));
    pos = _mm_max_epi16(pos, _mm_shufflelo_epi16(pos, _MM_SHUFFLE(1, 0, 3, 2)));
    best_id = _mm_cvtsi128_si32(pos);
    OD_ASSERT(best_id < n);
    /* Updating the sums of the new pulse(s) */
    xy = xy + x[best_id];
    /* We're multiplying y[j] by two so we don't have to do it here. */
    yy = yy + y[best_id];
    /* Only now that we've made the final choice, update y/ypulse. */
    /* Multiplying y[j] by 2 so we don't have to do it everywhere else. */
    y[best_id] += 2;
    ypulse[best_id]++;
  }

  /* Put the original sign back. */
  for (i = 0; i < n; i += 4) {
    __m128i y4;
    __m128i s4;
    y4 = _mm_loadu_si128((__m128i *)&ypulse[i]);
    s4 = _mm_castps_si128(_mm_loadu_ps(&sign_y[i]));
    y4 = _mm_xor_si128(_mm_add_epi32(y4, s4), s4);
    _mm_storeu_si128((__m128i *)&ypulse[i], y4);
  }
  return xy * rsqrtf(xx * yy + FLT_MIN);
}