Coverage Report

Created: 2026-09-13 07:02

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/src/libjxl/lib/jxl/modular/transform/squeeze.cc
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// Copyright (c) the JPEG XL Project Authors. All rights reserved.
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//
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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#include "lib/jxl/modular/transform/squeeze.h"
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#include <jxl/memory_manager.h>
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#include <algorithm>
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#include <cstddef>
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#include <cstdint>
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#include <cstdlib>
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#include <utility>
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#include <vector>
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#include "lib/jxl/base/common.h"
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#include "lib/jxl/base/compiler_specific.h"
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#include "lib/jxl/base/data_parallel.h"
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#include "lib/jxl/base/printf_macros.h"
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#include "lib/jxl/base/status.h"
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#include "lib/jxl/modular/modular_image.h"
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#include "lib/jxl/modular/transform/squeeze_params.h"
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#undef HWY_TARGET_INCLUDE
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#define HWY_TARGET_INCLUDE "lib/jxl/modular/transform/squeeze.cc"
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#include <hwy/foreach_target.h>
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#include <hwy/highway.h>
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#include "lib/jxl/simd_util-inl.h"
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HWY_BEFORE_NAMESPACE();
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namespace jxl {
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namespace HWY_NAMESPACE {
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#if HWY_TARGET != HWY_SCALAR
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// These templates are not found via ADL.
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using hwy::HWY_NAMESPACE::Abs;
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using hwy::HWY_NAMESPACE::Add;
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using hwy::HWY_NAMESPACE::And;
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using hwy::HWY_NAMESPACE::DupEven;
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using hwy::HWY_NAMESPACE::DupOdd;
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using hwy::HWY_NAMESPACE::Gt;
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using hwy::HWY_NAMESPACE::IfThenElse;
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using hwy::HWY_NAMESPACE::IfThenZeroElse;
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using hwy::HWY_NAMESPACE::Lt;
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using hwy::HWY_NAMESPACE::MulEven;
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using hwy::HWY_NAMESPACE::MulOdd;
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using hwy::HWY_NAMESPACE::Ne;
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using hwy::HWY_NAMESPACE::Neg;
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using hwy::HWY_NAMESPACE::OddEven;
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using hwy::HWY_NAMESPACE::RebindToUnsigned;
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using hwy::HWY_NAMESPACE::ShiftLeft;
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using hwy::HWY_NAMESPACE::ShiftRight;
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using hwy::HWY_NAMESPACE::Sub;
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using hwy::HWY_NAMESPACE::Xor;
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using D = HWY_CAPPED(pixel_type, 8);
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using DU = RebindToUnsigned<D>;
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constexpr D d;
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constexpr DU du;
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JXL_INLINE void FastUnsqueeze(const pixel_type *JXL_RESTRICT p_residual,
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                              const pixel_type *JXL_RESTRICT p_avg,
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                              const pixel_type *JXL_RESTRICT p_navg,
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                              const pixel_type *p_pout,
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                              pixel_type *JXL_RESTRICT p_out,
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84.7M
                              pixel_type *p_nout) {
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84.7M
  const size_t N = Lanes(d);
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  auto onethird = Set(d, 0x55555556);
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169M
  for (size_t x = 0; x < 8; x += N) {
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    auto avg = Load(d, p_avg + x);
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    auto next_avg = Load(d, p_navg + x);
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    auto top = Load(d, p_pout + x);
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    // Equivalent to SmoothTendency(top,avg,next_avg), but without branches
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    // typo:off
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    auto Ba = Sub(top, avg);
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    auto an = Sub(avg, next_avg);
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    auto nonmono = Xor(Ba, an);
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    auto absBa = Abs(Ba);
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    auto absan = Abs(an);
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    auto absBn = Abs(Sub(top, next_avg));
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    // Compute a3 = absBa / 3
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    auto a3eh = MulEven(absBa, onethird);
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    auto a3oh = MulOdd(absBa, onethird);
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84.7M
#if (HWY_MAJOR > 1 || (HWY_MAJOR == 1 && HWY_MINOR >= 2))
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#if HWY_IS_LITTLE_ENDIAN
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    auto a3 = InterleaveOdd(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#else  // not little endian
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    auto a3 = InterleaveEven(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#endif  // endianness
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#else  // hwy < 1.2
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#if HWY_IS_LITTLE_ENDIAN
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    auto a3 = OddEven(BitCast(d, a3oh), DupOdd(BitCast(d, a3eh)));
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#else  // not little endian
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    auto a3 = OddEven(DupEven(BitCast(d, a3oh)), BitCast(d, a3eh));
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#endif  // endianness
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#endif  // hwy version
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    a3 = Add(a3, Add(absBn, Set(d, 2)));
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    auto absdiff = ShiftRight<2>(a3);
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    auto skipdiff = Ne(Ba, Zero(d));
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    skipdiff = And(skipdiff, Ne(an, Zero(d)));
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    skipdiff = And(skipdiff, Lt(nonmono, Zero(d)));
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    auto absBa2 = Add(ShiftLeft<1>(absBa), And(absdiff, Set(d, 1)));
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    absdiff = IfThenElse(Gt(absdiff, absBa2),
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                         Add(ShiftLeft<1>(absBa), Set(d, 1)), absdiff);
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    // typo:on
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    auto absan2 = ShiftLeft<1>(absan);
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    absdiff = IfThenElse(Gt(Add(absdiff, And(absdiff, Set(d, 1))), absan2),
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84.7M
                         absan2, absdiff);
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    auto diff1 = IfThenElse(Lt(top, next_avg), Neg(absdiff), absdiff);
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    auto tendency = IfThenZeroElse(skipdiff, diff1);
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    auto diff_minus_tendency = Load(d, p_residual + x);
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    auto diff = Add(diff_minus_tendency, tendency);
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    auto out =
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        Add(avg, ShiftRight<1>(
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84.7M
                     Add(diff, BitCast(d, ShiftRight<31>(BitCast(du, diff))))));
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    Store(out, d, p_out + x);
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    Store(Sub(out, diff), d, p_nout + x);
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  }
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}
Unexecuted instantiation: jxl::N_SSE4::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
jxl::N_AVX2::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
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84.7M
                              pixel_type *p_nout) {
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  const size_t N = Lanes(d);
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  auto onethird = Set(d, 0x55555556);
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  for (size_t x = 0; x < 8; x += N) {
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    auto avg = Load(d, p_avg + x);
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    auto next_avg = Load(d, p_navg + x);
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    auto top = Load(d, p_pout + x);
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    // Equivalent to SmoothTendency(top,avg,next_avg), but without branches
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    // typo:off
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    auto Ba = Sub(top, avg);
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    auto an = Sub(avg, next_avg);
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    auto nonmono = Xor(Ba, an);
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    auto absBa = Abs(Ba);
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    auto absan = Abs(an);
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    auto absBn = Abs(Sub(top, next_avg));
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    // Compute a3 = absBa / 3
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    auto a3eh = MulEven(absBa, onethird);
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    auto a3oh = MulOdd(absBa, onethird);
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84.7M
#if (HWY_MAJOR > 1 || (HWY_MAJOR == 1 && HWY_MINOR >= 2))
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#if HWY_IS_LITTLE_ENDIAN
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    auto a3 = InterleaveOdd(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#else  // not little endian
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    auto a3 = InterleaveEven(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#endif  // endianness
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#else  // hwy < 1.2
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#if HWY_IS_LITTLE_ENDIAN
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    auto a3 = OddEven(BitCast(d, a3oh), DupOdd(BitCast(d, a3eh)));
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#else  // not little endian
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    auto a3 = OddEven(DupEven(BitCast(d, a3oh)), BitCast(d, a3eh));
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#endif  // endianness
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#endif  // hwy version
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    a3 = Add(a3, Add(absBn, Set(d, 2)));
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    auto absdiff = ShiftRight<2>(a3);
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    auto skipdiff = Ne(Ba, Zero(d));
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    skipdiff = And(skipdiff, Ne(an, Zero(d)));
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    skipdiff = And(skipdiff, Lt(nonmono, Zero(d)));
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    auto absBa2 = Add(ShiftLeft<1>(absBa), And(absdiff, Set(d, 1)));
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    absdiff = IfThenElse(Gt(absdiff, absBa2),
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                         Add(ShiftLeft<1>(absBa), Set(d, 1)), absdiff);
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    // typo:on
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    auto absan2 = ShiftLeft<1>(absan);
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84.7M
    absdiff = IfThenElse(Gt(Add(absdiff, And(absdiff, Set(d, 1))), absan2),
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                         absan2, absdiff);
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    auto diff1 = IfThenElse(Lt(top, next_avg), Neg(absdiff), absdiff);
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    auto tendency = IfThenZeroElse(skipdiff, diff1);
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84.7M
    auto diff_minus_tendency = Load(d, p_residual + x);
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84.7M
    auto diff = Add(diff_minus_tendency, tendency);
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84.7M
    auto out =
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        Add(avg, ShiftRight<1>(
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84.7M
                     Add(diff, BitCast(d, ShiftRight<31>(BitCast(du, diff))))));
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    Store(out, d, p_out + x);
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    Store(Sub(out, diff), d, p_nout + x);
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  }
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}
Unexecuted instantiation: jxl::N_SSE2::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
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#endif  // HWY_TARGET != HWY_SCALAR
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140k
Status InvHSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
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  JXL_ENSURE(c < input.channel.size());
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  JXL_ENSURE(rc < input.channel.size());
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  Channel &chin = input.channel[c];
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  const Channel &chin_residual = input.channel[rc];
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  // These must be valid since we ran MetaApply already.
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  JXL_ENSURE(chin.w == DivCeil(chin.w + chin_residual.w, 2));
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  JXL_ENSURE(chin.h == chin_residual.h);
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  JxlMemoryManager *memory_manager = input.memory_manager();
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  if (chin_residual.w == 0) {
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    // Short-circuit: output channel has same dimensions as input.
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    input.channel[c].hshift--;
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    return true;
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  }
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  // Note: chin.w >= chin_residual.w and at most 1 different.
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  JXL_ASSIGN_OR_RETURN(Channel chout,
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                       Channel::Create(memory_manager, chin.w + chin_residual.w,
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                                       chin.h, chin.hshift - 1, chin.vshift));
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  JXL_DEBUG_V(4,
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              "Undoing horizontal squeeze of channel %i using residuals in "
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              "channel %i (going from width %" PRIuS " to %" PRIuS ")",
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              c, rc, chin.w, chout.w);
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  if (chin_residual.h == 0) {
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    // Short-circuit: channel with no pixels.
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0
    input.channel[c] = std::move(chout);
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0
    return true;
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0
  }
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4.97M
  auto unsqueeze_row = [&](size_t y, size_t x0) {
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    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
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    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
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    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
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43.5M
    for (size_t x = x0; x < chin_residual.w; x++) {
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38.5M
      pixel_type_w diff_minus_tendency = p_residual[x];
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      pixel_type_w avg = p_avg[x];
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38.5M
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
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38.5M
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
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      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
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38.5M
      pixel_type_w diff = diff_minus_tendency + tendency;
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      pixel_type_w A = avg + (diff / 2);
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      p_out[(x << 1)] = A;
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      pixel_type_w B = A - diff;
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      p_out[(x << 1) + 1] = B;
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    }
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4.97M
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
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  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
squeeze.cc:jxl::N_AVX2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
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158
4.97M
  auto unsqueeze_row = [&](size_t y, size_t x0) {
159
4.97M
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
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4.97M
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
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    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
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43.5M
    for (size_t x = x0; x < chin_residual.w; x++) {
163
38.5M
      pixel_type_w diff_minus_tendency = p_residual[x];
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38.5M
      pixel_type_w avg = p_avg[x];
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38.5M
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
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      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
167
38.5M
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
168
38.5M
      pixel_type_w diff = diff_minus_tendency + tendency;
169
38.5M
      pixel_type_w A = avg + (diff / 2);
170
38.5M
      p_out[(x << 1)] = A;
171
38.5M
      pixel_type_w B = A - diff;
172
38.5M
      p_out[(x << 1) + 1] = B;
173
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    }
174
4.97M
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
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4.97M
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
176
177
  // somewhat complicated trickery just to be able to SIMD this.
178
  // Horizontal unsqueeze has horizontal data dependencies, so we do
179
  // 8 rows at a time and treat it as a vertical unsqueeze of a
180
  // transposed 8x8 block (or 9x8 for one input).
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138k
  static constexpr const size_t kRowsPerThread = 8;
182
138k
  const auto unsqueeze_span = [&](const uint32_t task,
183
661k
                                  size_t /* thread */) -> Status {
184
661k
    const size_t y0 = task * kRowsPerThread;
185
661k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
186
661k
    size_t x = 0;
187
188
661k
#if HWY_TARGET != HWY_SCALAR
189
661k
    ptrdiff_t onerow_in = chin.plane.PixelsPerRow();
190
661k
    ptrdiff_t onerow_inr = chin_residual.plane.PixelsPerRow();
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661k
    ptrdiff_t onerow_out = chout.plane.PixelsPerRow();
192
661k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
193
661k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
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    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
195
661k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
196
661k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
197
661k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
198
661k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
199
661k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
200
661k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
201
661k
    const size_t N = Lanes(d);
202
661k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
203
5.92M
      for (; x < chin_residual.w - 9; x += 8) {
204
5.45M
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
205
5.45M
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
206
49.0M
        for (size_t y = 0; y < kRowsPerThread; y++) {
207
43.6M
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
208
43.6M
        }
209
49.0M
        for (size_t i = 0; i < 8; i++) {
210
43.6M
          FastUnsqueeze(
211
43.6M
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
212
43.6M
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
213
43.6M
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
214
43.6M
        }
215
216
5.45M
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
217
5.45M
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
218
49.0M
        for (size_t y = 0; y < kRowsPerThread; y++) {
219
87.2M
          for (size_t i = 0; i < kRowsPerThread; i += N) {
220
43.6M
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
221
43.6M
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
222
43.6M
            StoreInterleaved(d, even, odd,
223
43.6M
                             p_out + ((x + i) << 1) + onerow_out * y);
224
43.6M
          }
225
43.6M
        }
226
5.45M
      }
227
471k
    }
228
661k
#endif  // HWY_TARGET != HWY_SCALAR
229
5.63M
    for (size_t y = 0; y < rows; y++) {
230
4.97M
      unsqueeze_row(y0 + y, x);
231
4.97M
    }
232
661k
    return true;
233
661k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
squeeze.cc:jxl::N_AVX2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Line
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Source
183
661k
                                  size_t /* thread */) -> Status {
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661k
    const size_t y0 = task * kRowsPerThread;
185
661k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
186
661k
    size_t x = 0;
187
188
661k
#if HWY_TARGET != HWY_SCALAR
189
661k
    ptrdiff_t onerow_in = chin.plane.PixelsPerRow();
190
661k
    ptrdiff_t onerow_inr = chin_residual.plane.PixelsPerRow();
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661k
    ptrdiff_t onerow_out = chout.plane.PixelsPerRow();
192
661k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
193
661k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
194
661k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
195
661k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
196
661k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
197
661k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
198
661k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
199
661k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
200
661k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
201
661k
    const size_t N = Lanes(d);
202
661k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
203
5.92M
      for (; x < chin_residual.w - 9; x += 8) {
204
5.45M
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
205
5.45M
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
206
49.0M
        for (size_t y = 0; y < kRowsPerThread; y++) {
207
43.6M
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
208
43.6M
        }
209
49.0M
        for (size_t i = 0; i < 8; i++) {
210
43.6M
          FastUnsqueeze(
211
43.6M
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
212
43.6M
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
213
43.6M
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
214
43.6M
        }
215
216
5.45M
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
217
5.45M
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
218
49.0M
        for (size_t y = 0; y < kRowsPerThread; y++) {
219
87.2M
          for (size_t i = 0; i < kRowsPerThread; i += N) {
220
43.6M
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
221
43.6M
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
222
43.6M
            StoreInterleaved(d, even, odd,
223
43.6M
                             p_out + ((x + i) << 1) + onerow_out * y);
224
43.6M
          }
225
43.6M
        }
226
5.45M
      }
227
471k
    }
228
661k
#endif  // HWY_TARGET != HWY_SCALAR
229
5.63M
    for (size_t y = 0; y < rows; y++) {
230
4.97M
      unsqueeze_row(y0 + y, x);
231
4.97M
    }
232
661k
    return true;
233
661k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
234
138k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.h, kRowsPerThread),
235
138k
                                ThreadPool::NoInit, unsqueeze_span,
236
138k
                                "InvHorizontalSqueeze"));
237
138k
  input.channel[c] = std::move(chout);
238
138k
  return true;
239
138k
}
Unexecuted instantiation: jxl::N_SSE4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
jxl::N_AVX2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Line
Count
Source
128
140k
Status InvHSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
129
140k
  JXL_ENSURE(c < input.channel.size());
130
140k
  JXL_ENSURE(rc < input.channel.size());
131
140k
  Channel &chin = input.channel[c];
132
140k
  const Channel &chin_residual = input.channel[rc];
133
  // These must be valid since we ran MetaApply already.
134
140k
  JXL_ENSURE(chin.w == DivCeil(chin.w + chin_residual.w, 2));
135
140k
  JXL_ENSURE(chin.h == chin_residual.h);
136
140k
  JxlMemoryManager *memory_manager = input.memory_manager();
137
138
140k
  if (chin_residual.w == 0) {
139
    // Short-circuit: output channel has same dimensions as input.
140
2.30k
    input.channel[c].hshift--;
141
2.30k
    return true;
142
2.30k
  }
143
144
  // Note: chin.w >= chin_residual.w and at most 1 different.
145
276k
  JXL_ASSIGN_OR_RETURN(Channel chout,
146
276k
                       Channel::Create(memory_manager, chin.w + chin_residual.w,
147
276k
                                       chin.h, chin.hshift - 1, chin.vshift));
148
276k
  JXL_DEBUG_V(4,
149
276k
              "Undoing horizontal squeeze of channel %i using residuals in "
150
276k
              "channel %i (going from width %" PRIuS " to %" PRIuS ")",
151
276k
              c, rc, chin.w, chout.w);
152
153
276k
  if (chin_residual.h == 0) {
154
    // Short-circuit: channel with no pixels.
155
0
    input.channel[c] = std::move(chout);
156
0
    return true;
157
0
  }
158
138k
  auto unsqueeze_row = [&](size_t y, size_t x0) {
159
138k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
160
138k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
161
138k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
162
138k
    for (size_t x = x0; x < chin_residual.w; x++) {
163
138k
      pixel_type_w diff_minus_tendency = p_residual[x];
164
138k
      pixel_type_w avg = p_avg[x];
165
138k
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
166
138k
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
167
138k
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
168
138k
      pixel_type_w diff = diff_minus_tendency + tendency;
169
138k
      pixel_type_w A = avg + (diff / 2);
170
138k
      p_out[(x << 1)] = A;
171
138k
      pixel_type_w B = A - diff;
172
138k
      p_out[(x << 1) + 1] = B;
173
138k
    }
174
138k
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
175
138k
  };
176
177
  // somewhat complicated trickery just to be able to SIMD this.
178
  // Horizontal unsqueeze has horizontal data dependencies, so we do
179
  // 8 rows at a time and treat it as a vertical unsqueeze of a
180
  // transposed 8x8 block (or 9x8 for one input).
181
138k
  static constexpr const size_t kRowsPerThread = 8;
182
138k
  const auto unsqueeze_span = [&](const uint32_t task,
183
138k
                                  size_t /* thread */) -> Status {
184
138k
    const size_t y0 = task * kRowsPerThread;
185
138k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
186
138k
    size_t x = 0;
187
188
138k
#if HWY_TARGET != HWY_SCALAR
189
138k
    ptrdiff_t onerow_in = chin.plane.PixelsPerRow();
190
138k
    ptrdiff_t onerow_inr = chin_residual.plane.PixelsPerRow();
191
138k
    ptrdiff_t onerow_out = chout.plane.PixelsPerRow();
192
138k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
193
138k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
194
138k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
195
138k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
196
138k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
197
138k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
198
138k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
199
138k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
200
138k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
201
138k
    const size_t N = Lanes(d);
202
138k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
203
138k
      for (; x < chin_residual.w - 9; x += 8) {
204
138k
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
205
138k
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
206
138k
        for (size_t y = 0; y < kRowsPerThread; y++) {
207
138k
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
208
138k
        }
209
138k
        for (size_t i = 0; i < 8; i++) {
210
138k
          FastUnsqueeze(
211
138k
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
212
138k
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
213
138k
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
214
138k
        }
215
216
138k
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
217
138k
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
218
138k
        for (size_t y = 0; y < kRowsPerThread; y++) {
219
138k
          for (size_t i = 0; i < kRowsPerThread; i += N) {
220
138k
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
221
138k
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
222
138k
            StoreInterleaved(d, even, odd,
223
138k
                             p_out + ((x + i) << 1) + onerow_out * y);
224
138k
          }
225
138k
        }
226
138k
      }
227
138k
    }
228
138k
#endif  // HWY_TARGET != HWY_SCALAR
229
138k
    for (size_t y = 0; y < rows; y++) {
230
138k
      unsqueeze_row(y0 + y, x);
231
138k
    }
232
138k
    return true;
233
138k
  };
234
138k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.h, kRowsPerThread),
235
138k
                                ThreadPool::NoInit, unsqueeze_span,
236
138k
                                "InvHorizontalSqueeze"));
237
138k
  input.channel[c] = std::move(chout);
238
138k
  return true;
239
138k
}
Unexecuted instantiation: jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
240
241
124k
Status InvVSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
242
124k
  JXL_ENSURE(c < input.channel.size());
243
124k
  JXL_ENSURE(rc < input.channel.size());
244
124k
  const Channel &chin = input.channel[c];
245
124k
  const Channel &chin_residual = input.channel[rc];
246
  // These must be valid since we ran MetaApply already.
247
124k
  JXL_ENSURE(chin.h == DivCeil(chin.h + chin_residual.h, 2));
248
124k
  JXL_ENSURE(chin.w == chin_residual.w);
249
124k
  JxlMemoryManager *memory_manager = input.memory_manager();
250
251
124k
  if (chin_residual.h == 0) {
252
    // Short-circuit: output channel has same dimensions as input.
253
1.31k
    input.channel[c].vshift--;
254
1.31k
    return true;
255
1.31k
  }
256
257
  // Note: chin.h >= chin_residual.h and at most 1 different.
258
246k
  JXL_ASSIGN_OR_RETURN(
259
246k
      Channel chout,
260
246k
      Channel::Create(memory_manager, chin.w, chin.h + chin_residual.h,
261
246k
                      chin.hshift, chin.vshift - 1));
262
246k
  JXL_DEBUG_V(
263
246k
      4,
264
246k
      "Undoing vertical squeeze of channel %i using residuals in channel "
265
246k
      "%i (going from height %" PRIuS " to %" PRIuS ")",
266
246k
      c, rc, chin.h, chout.h);
267
268
246k
  if (chin_residual.w == 0) {
269
    // Short-circuit: channel with no pixels.
270
0
    input.channel[c] = std::move(chout);
271
0
    return true;
272
0
  }
273
274
123k
  static constexpr const int kColsPerThread = 64;
275
123k
  const auto unsqueeze_slice = [&](const uint32_t task,
276
150k
                                   size_t /* thread */) -> Status {
277
150k
    const size_t x0 = task * kColsPerThread;
278
150k
    const size_t x1 =
279
150k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
280
150k
    const size_t w = x1 - x0;
281
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
282
    // always chin_residual.h.
283
6.59M
    for (size_t y = 0; y < chin_residual.h; y++) {
284
6.44M
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
285
6.44M
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
286
6.44M
      const pixel_type *JXL_RESTRICT p_navg =
287
6.44M
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
288
6.44M
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
289
6.44M
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
290
6.44M
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
291
6.44M
      size_t x = 0;
292
6.44M
#if HWY_TARGET != HWY_SCALAR
293
47.5M
      for (; x + 7 < w; x += 8) {
294
41.1M
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
295
41.1M
                      p_out + x, p_nout + x);
296
41.1M
      }
297
6.44M
#endif
298
13.0M
      for (; x < w; x++) {
299
6.63M
        pixel_type_w avg = p_avg[x];
300
6.63M
        pixel_type_w next_avg = p_navg[x];
301
6.63M
        pixel_type_w top = p_pout[x];
302
6.63M
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
303
6.63M
        pixel_type_w diff_minus_tendency = p_residual[x];
304
6.63M
        pixel_type_w diff = diff_minus_tendency + tendency;
305
6.63M
        pixel_type_w out = avg + (diff / 2);
306
6.63M
        p_out[x] = out;
307
        // If the chin_residual.h == chin.h, the output has an even number
308
        // of rows so the next line is fine. Otherwise, this loop won't
309
        // write to the last output row which is handled separately.
310
6.63M
        p_nout[x] = out - diff;
311
6.63M
      }
312
6.44M
    }
313
150k
    return true;
314
150k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
squeeze.cc:jxl::N_AVX2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Line
Count
Source
276
150k
                                   size_t /* thread */) -> Status {
277
150k
    const size_t x0 = task * kColsPerThread;
278
150k
    const size_t x1 =
279
150k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
280
150k
    const size_t w = x1 - x0;
281
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
282
    // always chin_residual.h.
283
6.59M
    for (size_t y = 0; y < chin_residual.h; y++) {
284
6.44M
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
285
6.44M
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
286
6.44M
      const pixel_type *JXL_RESTRICT p_navg =
287
6.44M
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
288
6.44M
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
289
6.44M
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
290
6.44M
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
291
6.44M
      size_t x = 0;
292
6.44M
#if HWY_TARGET != HWY_SCALAR
293
47.5M
      for (; x + 7 < w; x += 8) {
294
41.1M
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
295
41.1M
                      p_out + x, p_nout + x);
296
41.1M
      }
297
6.44M
#endif
298
13.0M
      for (; x < w; x++) {
299
6.63M
        pixel_type_w avg = p_avg[x];
300
6.63M
        pixel_type_w next_avg = p_navg[x];
301
6.63M
        pixel_type_w top = p_pout[x];
302
6.63M
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
303
6.63M
        pixel_type_w diff_minus_tendency = p_residual[x];
304
6.63M
        pixel_type_w diff = diff_minus_tendency + tendency;
305
6.63M
        pixel_type_w out = avg + (diff / 2);
306
6.63M
        p_out[x] = out;
307
        // If the chin_residual.h == chin.h, the output has an even number
308
        // of rows so the next line is fine. Otherwise, this loop won't
309
        // write to the last output row which is handled separately.
310
6.63M
        p_nout[x] = out - diff;
311
6.63M
      }
312
6.44M
    }
313
150k
    return true;
314
150k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
315
123k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.w, kColsPerThread),
316
123k
                                ThreadPool::NoInit, unsqueeze_slice,
317
123k
                                "InvVertSqueeze"));
318
319
123k
  if (chout.h & 1) {
320
25.6k
    size_t y = chin.h - 1;
321
25.6k
    const pixel_type *p_avg = chin.Row(y);
322
25.6k
    pixel_type *p_out = chout.Row(y << 1);
323
670k
    for (size_t x = 0; x < chin.w; x++) {
324
645k
      p_out[x] = p_avg[x];
325
645k
    }
326
25.6k
  }
327
123k
  input.channel[c] = std::move(chout);
328
123k
  return true;
329
123k
}
Unexecuted instantiation: jxl::N_SSE4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
jxl::N_AVX2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Line
Count
Source
241
124k
Status InvVSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
242
124k
  JXL_ENSURE(c < input.channel.size());
243
124k
  JXL_ENSURE(rc < input.channel.size());
244
124k
  const Channel &chin = input.channel[c];
245
124k
  const Channel &chin_residual = input.channel[rc];
246
  // These must be valid since we ran MetaApply already.
247
124k
  JXL_ENSURE(chin.h == DivCeil(chin.h + chin_residual.h, 2));
248
124k
  JXL_ENSURE(chin.w == chin_residual.w);
249
124k
  JxlMemoryManager *memory_manager = input.memory_manager();
250
251
124k
  if (chin_residual.h == 0) {
252
    // Short-circuit: output channel has same dimensions as input.
253
1.31k
    input.channel[c].vshift--;
254
1.31k
    return true;
255
1.31k
  }
256
257
  // Note: chin.h >= chin_residual.h and at most 1 different.
258
246k
  JXL_ASSIGN_OR_RETURN(
259
246k
      Channel chout,
260
246k
      Channel::Create(memory_manager, chin.w, chin.h + chin_residual.h,
261
246k
                      chin.hshift, chin.vshift - 1));
262
246k
  JXL_DEBUG_V(
263
246k
      4,
264
246k
      "Undoing vertical squeeze of channel %i using residuals in channel "
265
246k
      "%i (going from height %" PRIuS " to %" PRIuS ")",
266
246k
      c, rc, chin.h, chout.h);
267
268
246k
  if (chin_residual.w == 0) {
269
    // Short-circuit: channel with no pixels.
270
0
    input.channel[c] = std::move(chout);
271
0
    return true;
272
0
  }
273
274
123k
  static constexpr const int kColsPerThread = 64;
275
123k
  const auto unsqueeze_slice = [&](const uint32_t task,
276
123k
                                   size_t /* thread */) -> Status {
277
123k
    const size_t x0 = task * kColsPerThread;
278
123k
    const size_t x1 =
279
123k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
280
123k
    const size_t w = x1 - x0;
281
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
282
    // always chin_residual.h.
283
123k
    for (size_t y = 0; y < chin_residual.h; y++) {
284
123k
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
285
123k
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
286
123k
      const pixel_type *JXL_RESTRICT p_navg =
287
123k
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
288
123k
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
289
123k
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
290
123k
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
291
123k
      size_t x = 0;
292
123k
#if HWY_TARGET != HWY_SCALAR
293
123k
      for (; x + 7 < w; x += 8) {
294
123k
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
295
123k
                      p_out + x, p_nout + x);
296
123k
      }
297
123k
#endif
298
123k
      for (; x < w; x++) {
299
123k
        pixel_type_w avg = p_avg[x];
300
123k
        pixel_type_w next_avg = p_navg[x];
301
123k
        pixel_type_w top = p_pout[x];
302
123k
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
303
123k
        pixel_type_w diff_minus_tendency = p_residual[x];
304
123k
        pixel_type_w diff = diff_minus_tendency + tendency;
305
123k
        pixel_type_w out = avg + (diff / 2);
306
123k
        p_out[x] = out;
307
        // If the chin_residual.h == chin.h, the output has an even number
308
        // of rows so the next line is fine. Otherwise, this loop won't
309
        // write to the last output row which is handled separately.
310
123k
        p_nout[x] = out - diff;
311
123k
      }
312
123k
    }
313
123k
    return true;
314
123k
  };
315
123k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.w, kColsPerThread),
316
123k
                                ThreadPool::NoInit, unsqueeze_slice,
317
123k
                                "InvVertSqueeze"));
318
319
123k
  if (chout.h & 1) {
320
25.6k
    size_t y = chin.h - 1;
321
25.6k
    const pixel_type *p_avg = chin.Row(y);
322
25.6k
    pixel_type *p_out = chout.Row(y << 1);
323
670k
    for (size_t x = 0; x < chin.w; x++) {
324
645k
      p_out[x] = p_avg[x];
325
645k
    }
326
25.6k
  }
327
123k
  input.channel[c] = std::move(chout);
328
123k
  return true;
329
123k
}
Unexecuted instantiation: jxl::N_SSE2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
330
331
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
332
18.3k
                  ThreadPool *pool) {
333
101k
  for (int i = parameters.size() - 1; i >= 0; i--) {
334
83.1k
    JXL_RETURN_IF_ERROR(
335
83.1k
        CheckMetaSqueezeParams(parameters[i], input.channel.size()));
336
83.1k
    bool horizontal = parameters[i].horizontal;
337
83.1k
    bool in_place = parameters[i].in_place;
338
83.1k
    uint32_t beginc = parameters[i].begin_c;
339
83.1k
    uint32_t endc = parameters[i].begin_c + parameters[i].num_c - 1;
340
83.1k
    uint32_t offset;
341
83.1k
    if (in_place) {
342
58.4k
      offset = endc + 1;
343
58.4k
    } else {
344
24.6k
      offset = input.channel.size() + beginc - endc - 1;
345
24.6k
    }
346
83.1k
    if (beginc < input.nb_meta_channels) {
347
      // This is checked in MetaSqueeze.
348
9
      JXL_ENSURE(input.nb_meta_channels > parameters[i].num_c);
349
9
      input.nb_meta_channels -= parameters[i].num_c;
350
9
    }
351
352
348k
    for (uint32_t c = beginc; c <= endc; c++) {
353
265k
      uint32_t rc = offset + c - beginc;
354
      // MetaApply should imply that `rc` is within range, otherwise there's a
355
      // programming bug.
356
265k
      JXL_ENSURE(rc < input.channel.size());
357
265k
      if ((input.channel[c].w < input.channel[rc].w) ||
358
265k
          (input.channel[c].h < input.channel[rc].h)) {
359
0
        return JXL_FAILURE("Corrupted squeeze transform");
360
0
      }
361
265k
      if (horizontal) {
362
140k
        JXL_RETURN_IF_ERROR(InvHSqueeze(input, c, rc, pool));
363
140k
      } else {
364
124k
        JXL_RETURN_IF_ERROR(InvVSqueeze(input, c, rc, pool));
365
124k
      }
366
265k
    }
367
83.1k
    input.channel.erase(input.channel.begin() + offset,
368
83.1k
                        input.channel.begin() + offset + (endc - beginc + 1));
369
83.1k
  }
370
18.3k
  return true;
371
18.3k
}
Unexecuted instantiation: jxl::N_SSE4::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
jxl::N_AVX2::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Line
Count
Source
332
18.3k
                  ThreadPool *pool) {
333
101k
  for (int i = parameters.size() - 1; i >= 0; i--) {
334
83.1k
    JXL_RETURN_IF_ERROR(
335
83.1k
        CheckMetaSqueezeParams(parameters[i], input.channel.size()));
336
83.1k
    bool horizontal = parameters[i].horizontal;
337
83.1k
    bool in_place = parameters[i].in_place;
338
83.1k
    uint32_t beginc = parameters[i].begin_c;
339
83.1k
    uint32_t endc = parameters[i].begin_c + parameters[i].num_c - 1;
340
83.1k
    uint32_t offset;
341
83.1k
    if (in_place) {
342
58.4k
      offset = endc + 1;
343
58.4k
    } else {
344
24.6k
      offset = input.channel.size() + beginc - endc - 1;
345
24.6k
    }
346
83.1k
    if (beginc < input.nb_meta_channels) {
347
      // This is checked in MetaSqueeze.
348
9
      JXL_ENSURE(input.nb_meta_channels > parameters[i].num_c);
349
9
      input.nb_meta_channels -= parameters[i].num_c;
350
9
    }
351
352
348k
    for (uint32_t c = beginc; c <= endc; c++) {
353
265k
      uint32_t rc = offset + c - beginc;
354
      // MetaApply should imply that `rc` is within range, otherwise there's a
355
      // programming bug.
356
265k
      JXL_ENSURE(rc < input.channel.size());
357
265k
      if ((input.channel[c].w < input.channel[rc].w) ||
358
265k
          (input.channel[c].h < input.channel[rc].h)) {
359
0
        return JXL_FAILURE("Corrupted squeeze transform");
360
0
      }
361
265k
      if (horizontal) {
362
140k
        JXL_RETURN_IF_ERROR(InvHSqueeze(input, c, rc, pool));
363
140k
      } else {
364
124k
        JXL_RETURN_IF_ERROR(InvVSqueeze(input, c, rc, pool));
365
124k
      }
366
265k
    }
367
83.1k
    input.channel.erase(input.channel.begin() + offset,
368
83.1k
                        input.channel.begin() + offset + (endc - beginc + 1));
369
83.1k
  }
370
18.3k
  return true;
371
18.3k
}
Unexecuted instantiation: jxl::N_SSE2::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
372
373
}  // namespace HWY_NAMESPACE
374
}  // namespace jxl
375
HWY_AFTER_NAMESPACE();
376
377
#if HWY_ONCE
378
379
namespace jxl {
380
381
HWY_EXPORT(InvSqueeze);
382
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
383
18.3k
                  ThreadPool *pool) {
384
18.3k
  return HWY_DYNAMIC_DISPATCH(InvSqueeze)(input, parameters, pool);
385
18.3k
}
386
387
void DefaultSqueezeParameters(std::vector<SqueezeParams> *parameters,
388
17.7k
                              const Image &image) {
389
17.7k
  int nb_channels = image.channel.size() - image.nb_meta_channels;
390
391
17.7k
  parameters->clear();
392
17.7k
  size_t w = image.channel[image.nb_meta_channels].w;
393
17.7k
  size_t h = image.channel[image.nb_meta_channels].h;
394
17.7k
  JXL_DEBUG_V(
395
17.7k
      7, "Default squeeze parameters for %" PRIuS "x%" PRIuS " image: ", w, h);
396
397
  // do horizontal first on wide images; vertical first on tall images
398
17.7k
  bool wide = (w > h);
399
400
17.7k
  if (nb_channels > 2 && image.channel[image.nb_meta_channels + 1].w == w &&
401
12.7k
      image.channel[image.nb_meta_channels + 1].h == h) {
402
    // assume channels 1 and 2 are chroma, and can be squeezed first for 4:2:0
403
    // previews
404
9.03k
    JXL_DEBUG_V(7, "(4:2:0 chroma), %" PRIuS "x%" PRIuS " image", w, h);
405
9.03k
    SqueezeParams params;
406
    // horizontal chroma squeeze
407
9.03k
    params.horizontal = true;
408
9.03k
    params.in_place = false;
409
9.03k
    params.begin_c = image.nb_meta_channels + 1;
410
9.03k
    params.num_c = 2;
411
9.03k
    parameters->push_back(params);
412
9.03k
    params.horizontal = false;
413
    // vertical chroma squeeze
414
9.03k
    parameters->push_back(params);
415
9.03k
  }
416
17.7k
  SqueezeParams params;
417
17.7k
  params.begin_c = image.nb_meta_channels;
418
17.7k
  params.num_c = nb_channels;
419
17.7k
  params.in_place = true;
420
421
17.7k
  if (!wide) {
422
9.86k
    if (h > kMaxFirstPreviewSize) {
423
7.65k
      params.horizontal = false;
424
7.65k
      parameters->push_back(params);
425
7.65k
      h = (h + 1) / 2;
426
7.65k
      JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
427
7.65k
    }
428
9.86k
  }
429
50.6k
  while (w > kMaxFirstPreviewSize || h > kMaxFirstPreviewSize) {
430
32.8k
    if (w > kMaxFirstPreviewSize) {
431
30.9k
      params.horizontal = true;
432
30.9k
      parameters->push_back(params);
433
30.9k
      w = (w + 1) / 2;
434
30.9k
      JXL_DEBUG_V(7, "Horizontal (%" PRIuS "x%" PRIuS "), ", w, h);
435
30.9k
    }
436
32.8k
    if (h > kMaxFirstPreviewSize) {
437
20.5k
      params.horizontal = false;
438
20.5k
      parameters->push_back(params);
439
20.5k
      h = (h + 1) / 2;
440
20.5k
      JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
441
20.5k
    }
442
32.8k
  }
443
17.7k
  JXL_DEBUG_V(7, "that's it");
444
17.7k
}
445
446
Status CheckMetaSqueezeParams(const SqueezeParams &parameter,
447
168k
                              int num_channels) {
448
168k
  int c1 = parameter.begin_c;
449
168k
  int c2 = parameter.begin_c + parameter.num_c - 1;
450
168k
  if (c1 < 0 || c1 >= num_channels || c2 < 0 || c2 >= num_channels || c2 < c1) {
451
20
    return JXL_FAILURE("Invalid channel range");
452
20
  }
453
168k
  return true;
454
168k
}
455
456
19.0k
Status MetaSqueeze(Image &image, std::vector<SqueezeParams> *parameters) {
457
19.0k
  JxlMemoryManager *memory_manager = image.memory_manager();
458
19.0k
  if (parameters->empty()) {
459
17.7k
    DefaultSqueezeParameters(parameters, image);
460
17.7k
  }
461
462
85.8k
  for (auto &parameter : *parameters) {
463
85.8k
    JXL_RETURN_IF_ERROR(
464
85.8k
        CheckMetaSqueezeParams(parameter, image.channel.size()));
465
85.8k
    bool horizontal = parameter.horizontal;
466
85.8k
    bool in_place = parameter.in_place;
467
85.8k
    uint32_t beginc = parameter.begin_c;
468
85.8k
    uint32_t endc = parameter.begin_c + parameter.num_c - 1;
469
470
85.8k
    uint32_t offset;
471
85.8k
    if (beginc < image.nb_meta_channels) {
472
30
      if (endc >= image.nb_meta_channels) {
473
1
        return JXL_FAILURE("Invalid squeeze: mix of meta and nonmeta channels");
474
1
      }
475
29
      if (!in_place) {
476
2
        return JXL_FAILURE(
477
2
            "Invalid squeeze: meta channels require in-place residuals");
478
2
      }
479
27
      image.nb_meta_channels += parameter.num_c;
480
27
    }
481
85.8k
    if (in_place) {
482
59.7k
      offset = endc + 1;
483
59.7k
    } else {
484
26.1k
      offset = image.channel.size();
485
26.1k
    }
486
361k
    for (uint32_t c = beginc; c <= endc; c++) {
487
275k
      if (image.channel[c].hshift > 30 || image.channel[c].vshift > 30) {
488
2
        return JXL_FAILURE("Too many squeezes: shift > 30");
489
2
      }
490
275k
      size_t w = image.channel[c].w;
491
275k
      size_t h = image.channel[c].h;
492
275k
      if (w == 0 || h == 0) return JXL_FAILURE("Squeezing empty channel");
493
275k
      if (horizontal) {
494
145k
        image.channel[c].w = (w + 1) / 2;
495
145k
        if (image.channel[c].hshift >= 0) image.channel[c].hshift++;
496
145k
        w = w - (w + 1) / 2;
497
145k
      } else {
498
129k
        image.channel[c].h = (h + 1) / 2;
499
129k
        if (image.channel[c].vshift >= 0) image.channel[c].vshift++;
500
129k
        h = h - (h + 1) / 2;
501
129k
      }
502
275k
      JXL_RETURN_IF_ERROR(image.channel[c].shrink());
503
550k
      JXL_ASSIGN_OR_RETURN(Channel placeholder,
504
550k
                           Channel::Create(memory_manager, w, h));
505
550k
      placeholder.hshift = image.channel[c].hshift;
506
550k
      placeholder.vshift = image.channel[c].vshift;
507
550k
      placeholder.component = image.channel[c].component;
508
550k
      image.channel.insert(image.channel.begin() + offset + (c - beginc),
509
550k
                           std::move(placeholder));
510
550k
      JXL_DEBUG_V(0, "MetaSqueeze applied, current image: %s",
511
550k
                  image.DebugString().c_str());
512
550k
    }
513
85.8k
  }
514
18.9k
  return true;
515
19.0k
}
516
517
}  // namespace jxl
518
519
#endif