// Copyright (c) the JPEG XL Project Authors. All rights reserved.
//
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

#if defined(LIB_JXL_QUANTIZER_INL_H_) == defined(HWY_TARGET_TOGGLE)
#ifdef LIB_JXL_QUANTIZER_INL_H_
#undef LIB_JXL_QUANTIZER_INL_H_
#else
#define LIB_JXL_QUANTIZER_INL_H_
#endif

#include <stddef.h>

#include <hwy/highway.h>
HWY_BEFORE_NAMESPACE();
namespace jxl {
namespace HWY_NAMESPACE {
namespace {

// These templates are not found via ADL.
using hwy::HWY_NAMESPACE::And;
using hwy::HWY_NAMESPACE::AndNot;
using hwy::HWY_NAMESPACE::ApproximateReciprocal;
using hwy::HWY_NAMESPACE::Gt;
using hwy::HWY_NAMESPACE::IfThenElse;
using hwy::HWY_NAMESPACE::IfThenElseZero;
using hwy::HWY_NAMESPACE::Lt;
using hwy::HWY_NAMESPACE::Rebind;
using hwy::HWY_NAMESPACE::Vec;
using hwy::HWY_NAMESPACE::Xor;

template <class DI>
HWY_INLINE HWY_MAYBE_UNUSED Vec<Rebind<float, DI>> AdjustQuantBias(
    DI di, const size_t c, const Vec<DI> quant_i,
    const float* HWY_RESTRICT biases) {
  const Rebind<float, DI> df;

  const auto quant = ConvertTo(df, quant_i);

  // Compare |quant|, keep sign bit for negating result.
  const auto kSign = BitCast(df, Set(di, INT32_MIN));
  const auto sign = And(quant, kSign);  // TODO(janwas): = abs ^ orig
  const auto abs_quant = AndNot(kSign, quant);

  // If |x| is 1, kZeroBias creates a different bias for each channel.
  // We're implementing the following:
  // if (quant == 0) return 0;
  // if (quant == 1) return biases[c];
  // if (quant == -1) return -biases[c];
  // return quant - biases[3] / quant;

  // Integer comparison is not helpful because Clang incurs bypass penalties
  // from unnecessarily mixing integer and float.
  const auto is_01 = Lt(abs_quant, Set(df, 1.125f));
  const auto not_0 = Gt(abs_quant, Zero(df));

  // Bitwise logic is faster than quant * biases[c].
  const auto one_bias = IfThenElseZero(not_0, Xor(Set(df, biases[c]), sign));

  // About 2E-5 worse than ReciprocalNR or division.
  const auto bias =
      NegMulAdd(Set(df, biases[3]), ApproximateReciprocal(quant), quant);

  return IfThenElse(is_01, one_bias, bias);
}

}  // namespace
// NOLINTNEXTLINE(google-readability-namespace-comments)
}  // namespace HWY_NAMESPACE
}  // namespace jxl
HWY_AFTER_NAMESPACE();

#endif  // LIB_JXL_QUANTIZER_INL_H_