Coverage Report

Created: 2025-07-23 08:18

/src/libjxl/lib/jxl/modular/transform/squeeze.cc
Line
Count
Source (jump to first uncovered line)
1
// Copyright (c) the JPEG XL Project Authors. All rights reserved.
2
//
3
// Use of this source code is governed by a BSD-style
4
// license that can be found in the LICENSE file.
5
6
#include "lib/jxl/modular/transform/squeeze.h"
7
8
#include <jxl/memory_manager.h>
9
10
#include <algorithm>
11
#include <cstdint>
12
#include <cstdlib>
13
#include <utility>
14
#include <vector>
15
16
#include "lib/jxl/base/common.h"
17
#include "lib/jxl/base/compiler_specific.h"
18
#include "lib/jxl/base/data_parallel.h"
19
#include "lib/jxl/base/printf_macros.h"
20
#include "lib/jxl/base/status.h"
21
#include "lib/jxl/modular/modular_image.h"
22
#include "lib/jxl/modular/transform/squeeze_params.h"
23
#undef HWY_TARGET_INCLUDE
24
#define HWY_TARGET_INCLUDE "lib/jxl/modular/transform/squeeze.cc"
25
#include <hwy/foreach_target.h>
26
#include <hwy/highway.h>
27
28
#include "lib/jxl/simd_util-inl.h"
29
30
HWY_BEFORE_NAMESPACE();
31
namespace jxl {
32
namespace HWY_NAMESPACE {
33
34
#if HWY_TARGET != HWY_SCALAR
35
36
// These templates are not found via ADL.
37
using hwy::HWY_NAMESPACE::Abs;
38
using hwy::HWY_NAMESPACE::Add;
39
using hwy::HWY_NAMESPACE::And;
40
using hwy::HWY_NAMESPACE::DupEven;
41
using hwy::HWY_NAMESPACE::DupOdd;
42
using hwy::HWY_NAMESPACE::Gt;
43
using hwy::HWY_NAMESPACE::IfThenElse;
44
using hwy::HWY_NAMESPACE::IfThenZeroElse;
45
using hwy::HWY_NAMESPACE::Lt;
46
using hwy::HWY_NAMESPACE::MulEven;
47
using hwy::HWY_NAMESPACE::MulOdd;
48
using hwy::HWY_NAMESPACE::Ne;
49
using hwy::HWY_NAMESPACE::Neg;
50
using hwy::HWY_NAMESPACE::OddEven;
51
using hwy::HWY_NAMESPACE::RebindToUnsigned;
52
using hwy::HWY_NAMESPACE::ShiftLeft;
53
using hwy::HWY_NAMESPACE::ShiftRight;
54
using hwy::HWY_NAMESPACE::Sub;
55
using hwy::HWY_NAMESPACE::Xor;
56
57
using D = HWY_CAPPED(pixel_type, 8);
58
using DU = RebindToUnsigned<D>;
59
constexpr D d;
60
constexpr DU du;
61
62
JXL_INLINE void FastUnsqueeze(const pixel_type *JXL_RESTRICT p_residual,
63
                              const pixel_type *JXL_RESTRICT p_avg,
64
                              const pixel_type *JXL_RESTRICT p_navg,
65
                              const pixel_type *p_pout,
66
                              pixel_type *JXL_RESTRICT p_out,
67
6.18M
                              pixel_type *p_nout) {
68
6.18M
  const size_t N = Lanes(d);
69
6.18M
  auto onethird = Set(d, 0x55555556);
70
12.3M
  for (size_t x = 0; x < 8; x += N) {
71
6.18M
    auto avg = Load(d, p_avg + x);
72
6.18M
    auto next_avg = Load(d, p_navg + x);
73
6.18M
    auto top = Load(d, p_pout + x);
74
    // Equivalent to SmoothTendency(top,avg,next_avg), but without branches
75
    // typo:off
76
6.18M
    auto Ba = Sub(top, avg);
77
6.18M
    auto an = Sub(avg, next_avg);
78
6.18M
    auto nonmono = Xor(Ba, an);
79
6.18M
    auto absBa = Abs(Ba);
80
6.18M
    auto absan = Abs(an);
81
6.18M
    auto absBn = Abs(Sub(top, next_avg));
82
    // Compute a3 = absBa / 3
83
6.18M
    auto a3eh = MulEven(absBa, onethird);
84
6.18M
    auto a3oh = MulOdd(absBa, onethird);
85
86
6.18M
#if (HWY_MAJOR > 1 || (HWY_MAJOR == 1 && HWY_MINOR >= 2))
87
6.18M
#if HWY_IS_LITTLE_ENDIAN
88
6.18M
    auto a3 = InterleaveOdd(d, BitCast(d, a3eh), BitCast(d, a3oh));
89
#else  // not little endian
90
    auto a3 = InterleaveEven(d, BitCast(d, a3eh), BitCast(d, a3oh));
91
#endif  // endianness
92
#else  // hwy < 1.2
93
#if HWY_IS_LITTLE_ENDIAN
94
    auto a3 = OddEven(BitCast(d, a3oh), DupOdd(BitCast(d, a3eh)));
95
#else  // not little endian
96
    auto a3 = OddEven(DupEven(BitCast(d, a3oh)), BitCast(d, a3eh))
97
#endif  // endianness
98
#endif  // hwy version
99
100
6.18M
    a3 = Add(a3, Add(absBn, Set(d, 2)));
101
6.18M
    auto absdiff = ShiftRight<2>(a3);
102
6.18M
    auto skipdiff = Ne(Ba, Zero(d));
103
6.18M
    skipdiff = And(skipdiff, Ne(an, Zero(d)));
104
6.18M
    skipdiff = And(skipdiff, Lt(nonmono, Zero(d)));
105
6.18M
    auto absBa2 = Add(ShiftLeft<1>(absBa), And(absdiff, Set(d, 1)));
106
6.18M
    absdiff = IfThenElse(Gt(absdiff, absBa2),
107
6.18M
                         Add(ShiftLeft<1>(absBa), Set(d, 1)), absdiff);
108
    // typo:on
109
6.18M
    auto absan2 = ShiftLeft<1>(absan);
110
6.18M
    absdiff = IfThenElse(Gt(Add(absdiff, And(absdiff, Set(d, 1))), absan2),
111
6.18M
                         absan2, absdiff);
112
6.18M
    auto diff1 = IfThenElse(Lt(top, next_avg), Neg(absdiff), absdiff);
113
6.18M
    auto tendency = IfThenZeroElse(skipdiff, diff1);
114
115
6.18M
    auto diff_minus_tendency = Load(d, p_residual + x);
116
6.18M
    auto diff = Add(diff_minus_tendency, tendency);
117
6.18M
    auto out =
118
6.18M
        Add(avg, ShiftRight<1>(
119
6.18M
                     Add(diff, BitCast(d, ShiftRight<31>(BitCast(du, diff))))));
120
6.18M
    Store(out, d, p_out + x);
121
6.18M
    Store(Sub(out, diff), d, p_nout + x);
122
6.18M
  }
123
6.18M
}
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*)
Line
Count
Source
67
6.18M
                              pixel_type *p_nout) {
68
6.18M
  const size_t N = Lanes(d);
69
6.18M
  auto onethird = Set(d, 0x55555556);
70
12.3M
  for (size_t x = 0; x < 8; x += N) {
71
6.18M
    auto avg = Load(d, p_avg + x);
72
6.18M
    auto next_avg = Load(d, p_navg + x);
73
6.18M
    auto top = Load(d, p_pout + x);
74
    // Equivalent to SmoothTendency(top,avg,next_avg), but without branches
75
    // typo:off
76
6.18M
    auto Ba = Sub(top, avg);
77
6.18M
    auto an = Sub(avg, next_avg);
78
6.18M
    auto nonmono = Xor(Ba, an);
79
6.18M
    auto absBa = Abs(Ba);
80
6.18M
    auto absan = Abs(an);
81
6.18M
    auto absBn = Abs(Sub(top, next_avg));
82
    // Compute a3 = absBa / 3
83
6.18M
    auto a3eh = MulEven(absBa, onethird);
84
6.18M
    auto a3oh = MulOdd(absBa, onethird);
85
86
6.18M
#if (HWY_MAJOR > 1 || (HWY_MAJOR == 1 && HWY_MINOR >= 2))
87
6.18M
#if HWY_IS_LITTLE_ENDIAN
88
6.18M
    auto a3 = InterleaveOdd(d, BitCast(d, a3eh), BitCast(d, a3oh));
89
#else  // not little endian
90
    auto a3 = InterleaveEven(d, BitCast(d, a3eh), BitCast(d, a3oh));
91
#endif  // endianness
92
#else  // hwy < 1.2
93
#if HWY_IS_LITTLE_ENDIAN
94
    auto a3 = OddEven(BitCast(d, a3oh), DupOdd(BitCast(d, a3eh)));
95
#else  // not little endian
96
    auto a3 = OddEven(DupEven(BitCast(d, a3oh)), BitCast(d, a3eh))
97
#endif  // endianness
98
#endif  // hwy version
99
100
6.18M
    a3 = Add(a3, Add(absBn, Set(d, 2)));
101
6.18M
    auto absdiff = ShiftRight<2>(a3);
102
6.18M
    auto skipdiff = Ne(Ba, Zero(d));
103
6.18M
    skipdiff = And(skipdiff, Ne(an, Zero(d)));
104
6.18M
    skipdiff = And(skipdiff, Lt(nonmono, Zero(d)));
105
6.18M
    auto absBa2 = Add(ShiftLeft<1>(absBa), And(absdiff, Set(d, 1)));
106
6.18M
    absdiff = IfThenElse(Gt(absdiff, absBa2),
107
6.18M
                         Add(ShiftLeft<1>(absBa), Set(d, 1)), absdiff);
108
    // typo:on
109
6.18M
    auto absan2 = ShiftLeft<1>(absan);
110
6.18M
    absdiff = IfThenElse(Gt(Add(absdiff, And(absdiff, Set(d, 1))), absan2),
111
6.18M
                         absan2, absdiff);
112
6.18M
    auto diff1 = IfThenElse(Lt(top, next_avg), Neg(absdiff), absdiff);
113
6.18M
    auto tendency = IfThenZeroElse(skipdiff, diff1);
114
115
6.18M
    auto diff_minus_tendency = Load(d, p_residual + x);
116
6.18M
    auto diff = Add(diff_minus_tendency, tendency);
117
6.18M
    auto out =
118
6.18M
        Add(avg, ShiftRight<1>(
119
6.18M
                     Add(diff, BitCast(d, ShiftRight<31>(BitCast(du, diff))))));
120
6.18M
    Store(out, d, p_out + x);
121
6.18M
    Store(Sub(out, diff), d, p_nout + x);
122
6.18M
  }
123
6.18M
}
Unexecuted instantiation: jxl::N_AVX3::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
Unexecuted instantiation: jxl::N_AVX3_SPR::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
Unexecuted instantiation: jxl::N_SSE2::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
124
125
#endif  // HWY_TARGET != HWY_SCALAR
126
127
29.2k
Status InvHSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
128
29.2k
  JXL_ENSURE(c < input.channel.size());
129
29.2k
  JXL_ENSURE(rc < input.channel.size());
130
29.2k
  Channel &chin = input.channel[c];
131
29.2k
  const Channel &chin_residual = input.channel[rc];
132
  // These must be valid since we ran MetaApply already.
133
29.2k
  JXL_ENSURE(chin.w == DivCeil(chin.w + chin_residual.w, 2));
134
29.2k
  JXL_ENSURE(chin.h == chin_residual.h);
135
29.2k
  JxlMemoryManager *memory_manager = input.memory_manager();
136
137
29.2k
  if (chin_residual.w == 0) {
138
    // Short-circuit: output channel has same dimensions as input.
139
299
    input.channel[c].hshift--;
140
299
    return true;
141
299
  }
142
143
  // Note: chin.w >= chin_residual.w and at most 1 different.
144
57.8k
  JXL_ASSIGN_OR_RETURN(Channel chout,
145
57.8k
                       Channel::Create(memory_manager, chin.w + chin_residual.w,
146
57.8k
                                       chin.h, chin.hshift - 1, chin.vshift));
147
57.8k
  JXL_DEBUG_V(4,
148
57.8k
              "Undoing horizontal squeeze of channel %i using residuals in "
149
57.8k
              "channel %i (going from width %" PRIuS " to %" PRIuS ")",
150
57.8k
              c, rc, chin.w, chout.w);
151
152
57.8k
  if (chin_residual.h == 0) {
153
    // Short-circuit: channel with no pixels.
154
0
    input.channel[c] = std::move(chout);
155
0
    return true;
156
0
  }
157
799k
  auto unsqueeze_row = [&](size_t y, size_t x0) {
158
799k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
159
799k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
160
799k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
161
7.22M
    for (size_t x = x0; x < chin_residual.w; x++) {
162
6.42M
      pixel_type_w diff_minus_tendency = p_residual[x];
163
6.42M
      pixel_type_w avg = p_avg[x];
164
6.42M
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
165
6.42M
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
166
6.42M
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
167
6.42M
      pixel_type_w diff = diff_minus_tendency + tendency;
168
6.42M
      pixel_type_w A = avg + (diff / 2);
169
6.42M
      p_out[(x << 1)] = A;
170
6.42M
      pixel_type_w B = A - diff;
171
6.42M
      p_out[(x << 1) + 1] = B;
172
6.42M
    }
173
799k
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
174
799k
  };
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
Line
Count
Source
157
799k
  auto unsqueeze_row = [&](size_t y, size_t x0) {
158
799k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
159
799k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
160
799k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
161
7.22M
    for (size_t x = x0; x < chin_residual.w; x++) {
162
6.42M
      pixel_type_w diff_minus_tendency = p_residual[x];
163
6.42M
      pixel_type_w avg = p_avg[x];
164
6.42M
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
165
6.42M
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
166
6.42M
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
167
6.42M
      pixel_type_w diff = diff_minus_tendency + tendency;
168
6.42M
      pixel_type_w A = avg + (diff / 2);
169
6.42M
      p_out[(x << 1)] = A;
170
6.42M
      pixel_type_w B = A - diff;
171
6.42M
      p_out[(x << 1) + 1] = B;
172
6.42M
    }
173
799k
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
174
799k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_ZEN4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_SPR::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
175
176
  // somewhat complicated trickery just to be able to SIMD this.
177
  // Horizontal unsqueeze has horizontal data dependencies, so we do
178
  // 8 rows at a time and treat it as a vertical unsqueeze of a
179
  // transposed 8x8 block (or 9x8 for one input).
180
28.9k
  static constexpr const size_t kRowsPerThread = 8;
181
28.9k
  const auto unsqueeze_span = [&](const uint32_t task,
182
111k
                                  size_t /* thread */) -> Status {
183
111k
    const size_t y0 = task * kRowsPerThread;
184
111k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
185
111k
    size_t x = 0;
186
187
111k
#if HWY_TARGET != HWY_SCALAR
188
111k
    intptr_t onerow_in = chin.plane.PixelsPerRow();
189
111k
    intptr_t onerow_inr = chin_residual.plane.PixelsPerRow();
190
111k
    intptr_t onerow_out = chout.plane.PixelsPerRow();
191
111k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
192
111k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
193
111k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
194
111k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
195
111k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
196
111k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
197
111k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
198
111k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
199
111k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
200
111k
    const size_t N = Lanes(d);
201
111k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
202
491k
      for (; x < chin_residual.w - 9; x += 8) {
203
421k
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
204
421k
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
205
3.78M
        for (size_t y = 0; y < kRowsPerThread; y++) {
206
3.36M
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
207
3.36M
        }
208
3.78M
        for (size_t i = 0; i < 8; i++) {
209
3.36M
          FastUnsqueeze(
210
3.36M
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
211
3.36M
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
212
3.36M
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
213
3.36M
        }
214
215
421k
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
216
421k
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
217
3.78M
        for (size_t y = 0; y < kRowsPerThread; y++) {
218
6.73M
          for (size_t i = 0; i < kRowsPerThread; i += N) {
219
3.36M
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
220
3.36M
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
221
3.36M
            StoreInterleaved(d, even, odd,
222
3.36M
                             p_out + ((x + i) << 1) + onerow_out * y);
223
3.36M
          }
224
3.36M
        }
225
421k
      }
226
70.8k
    }
227
111k
#endif  // HWY_TARGET != HWY_SCALAR
228
910k
    for (size_t y = 0; y < rows; y++) {
229
799k
      unsqueeze_row(y0 + y, x);
230
799k
    }
231
111k
    return true;
232
111k
  };
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
Count
Source
182
111k
                                  size_t /* thread */) -> Status {
183
111k
    const size_t y0 = task * kRowsPerThread;
184
111k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
185
111k
    size_t x = 0;
186
187
111k
#if HWY_TARGET != HWY_SCALAR
188
111k
    intptr_t onerow_in = chin.plane.PixelsPerRow();
189
111k
    intptr_t onerow_inr = chin_residual.plane.PixelsPerRow();
190
111k
    intptr_t onerow_out = chout.plane.PixelsPerRow();
191
111k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
192
111k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
193
111k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
194
111k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
195
111k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
196
111k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
197
111k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
198
111k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
199
111k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
200
111k
    const size_t N = Lanes(d);
201
111k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
202
491k
      for (; x < chin_residual.w - 9; x += 8) {
203
421k
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
204
421k
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
205
3.78M
        for (size_t y = 0; y < kRowsPerThread; y++) {
206
3.36M
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
207
3.36M
        }
208
3.78M
        for (size_t i = 0; i < 8; i++) {
209
3.36M
          FastUnsqueeze(
210
3.36M
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
211
3.36M
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
212
3.36M
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
213
3.36M
        }
214
215
421k
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
216
421k
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
217
3.78M
        for (size_t y = 0; y < kRowsPerThread; y++) {
218
6.73M
          for (size_t i = 0; i < kRowsPerThread; i += N) {
219
3.36M
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
220
3.36M
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
221
3.36M
            StoreInterleaved(d, even, odd,
222
3.36M
                             p_out + ((x + i) << 1) + onerow_out * y);
223
3.36M
          }
224
3.36M
        }
225
421k
      }
226
70.8k
    }
227
111k
#endif  // HWY_TARGET != HWY_SCALAR
228
910k
    for (size_t y = 0; y < rows; y++) {
229
799k
      unsqueeze_row(y0 + y, x);
230
799k
    }
231
111k
    return true;
232
111k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_ZEN4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_SPR::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
233
28.9k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.h, kRowsPerThread),
234
28.9k
                                ThreadPool::NoInit, unsqueeze_span,
235
28.9k
                                "InvHorizontalSqueeze"));
236
28.9k
  input.channel[c] = std::move(chout);
237
28.9k
  return true;
238
28.9k
}
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
127
29.2k
Status InvHSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
128
29.2k
  JXL_ENSURE(c < input.channel.size());
129
29.2k
  JXL_ENSURE(rc < input.channel.size());
130
29.2k
  Channel &chin = input.channel[c];
131
29.2k
  const Channel &chin_residual = input.channel[rc];
132
  // These must be valid since we ran MetaApply already.
133
29.2k
  JXL_ENSURE(chin.w == DivCeil(chin.w + chin_residual.w, 2));
134
29.2k
  JXL_ENSURE(chin.h == chin_residual.h);
135
29.2k
  JxlMemoryManager *memory_manager = input.memory_manager();
136
137
29.2k
  if (chin_residual.w == 0) {
138
    // Short-circuit: output channel has same dimensions as input.
139
299
    input.channel[c].hshift--;
140
299
    return true;
141
299
  }
142
143
  // Note: chin.w >= chin_residual.w and at most 1 different.
144
57.8k
  JXL_ASSIGN_OR_RETURN(Channel chout,
145
57.8k
                       Channel::Create(memory_manager, chin.w + chin_residual.w,
146
57.8k
                                       chin.h, chin.hshift - 1, chin.vshift));
147
57.8k
  JXL_DEBUG_V(4,
148
57.8k
              "Undoing horizontal squeeze of channel %i using residuals in "
149
57.8k
              "channel %i (going from width %" PRIuS " to %" PRIuS ")",
150
57.8k
              c, rc, chin.w, chout.w);
151
152
57.8k
  if (chin_residual.h == 0) {
153
    // Short-circuit: channel with no pixels.
154
0
    input.channel[c] = std::move(chout);
155
0
    return true;
156
0
  }
157
28.9k
  auto unsqueeze_row = [&](size_t y, size_t x0) {
158
28.9k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
159
28.9k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
160
28.9k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
161
28.9k
    for (size_t x = x0; x < chin_residual.w; x++) {
162
28.9k
      pixel_type_w diff_minus_tendency = p_residual[x];
163
28.9k
      pixel_type_w avg = p_avg[x];
164
28.9k
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
165
28.9k
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
166
28.9k
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
167
28.9k
      pixel_type_w diff = diff_minus_tendency + tendency;
168
28.9k
      pixel_type_w A = avg + (diff / 2);
169
28.9k
      p_out[(x << 1)] = A;
170
28.9k
      pixel_type_w B = A - diff;
171
28.9k
      p_out[(x << 1) + 1] = B;
172
28.9k
    }
173
28.9k
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
174
28.9k
  };
175
176
  // somewhat complicated trickery just to be able to SIMD this.
177
  // Horizontal unsqueeze has horizontal data dependencies, so we do
178
  // 8 rows at a time and treat it as a vertical unsqueeze of a
179
  // transposed 8x8 block (or 9x8 for one input).
180
28.9k
  static constexpr const size_t kRowsPerThread = 8;
181
28.9k
  const auto unsqueeze_span = [&](const uint32_t task,
182
28.9k
                                  size_t /* thread */) -> Status {
183
28.9k
    const size_t y0 = task * kRowsPerThread;
184
28.9k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
185
28.9k
    size_t x = 0;
186
187
28.9k
#if HWY_TARGET != HWY_SCALAR
188
28.9k
    intptr_t onerow_in = chin.plane.PixelsPerRow();
189
28.9k
    intptr_t onerow_inr = chin_residual.plane.PixelsPerRow();
190
28.9k
    intptr_t onerow_out = chout.plane.PixelsPerRow();
191
28.9k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
192
28.9k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
193
28.9k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
194
28.9k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
195
28.9k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
196
28.9k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
197
28.9k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
198
28.9k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
199
28.9k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
200
28.9k
    const size_t N = Lanes(d);
201
28.9k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
202
28.9k
      for (; x < chin_residual.w - 9; x += 8) {
203
28.9k
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
204
28.9k
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
205
28.9k
        for (size_t y = 0; y < kRowsPerThread; y++) {
206
28.9k
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
207
28.9k
        }
208
28.9k
        for (size_t i = 0; i < 8; i++) {
209
28.9k
          FastUnsqueeze(
210
28.9k
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
211
28.9k
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
212
28.9k
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
213
28.9k
        }
214
215
28.9k
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
216
28.9k
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
217
28.9k
        for (size_t y = 0; y < kRowsPerThread; y++) {
218
28.9k
          for (size_t i = 0; i < kRowsPerThread; i += N) {
219
28.9k
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
220
28.9k
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
221
28.9k
            StoreInterleaved(d, even, odd,
222
28.9k
                             p_out + ((x + i) << 1) + onerow_out * y);
223
28.9k
          }
224
28.9k
        }
225
28.9k
      }
226
28.9k
    }
227
28.9k
#endif  // HWY_TARGET != HWY_SCALAR
228
28.9k
    for (size_t y = 0; y < rows; y++) {
229
28.9k
      unsqueeze_row(y0 + y, x);
230
28.9k
    }
231
28.9k
    return true;
232
28.9k
  };
233
28.9k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.h, kRowsPerThread),
234
28.9k
                                ThreadPool::NoInit, unsqueeze_span,
235
28.9k
                                "InvHorizontalSqueeze"));
236
28.9k
  input.channel[c] = std::move(chout);
237
28.9k
  return true;
238
28.9k
}
Unexecuted instantiation: jxl::N_AVX3::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_SPR::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
239
240
26.2k
Status InvVSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
241
26.2k
  JXL_ENSURE(c < input.channel.size());
242
26.2k
  JXL_ENSURE(rc < input.channel.size());
243
26.2k
  const Channel &chin = input.channel[c];
244
26.2k
  const Channel &chin_residual = input.channel[rc];
245
  // These must be valid since we ran MetaApply already.
246
26.2k
  JXL_ENSURE(chin.h == DivCeil(chin.h + chin_residual.h, 2));
247
26.2k
  JXL_ENSURE(chin.w == chin_residual.w);
248
26.2k
  JxlMemoryManager *memory_manager = input.memory_manager();
249
250
26.2k
  if (chin_residual.h == 0) {
251
    // Short-circuit: output channel has same dimensions as input.
252
369
    input.channel[c].vshift--;
253
369
    return true;
254
369
  }
255
256
  // Note: chin.h >= chin_residual.h and at most 1 different.
257
51.8k
  JXL_ASSIGN_OR_RETURN(
258
51.8k
      Channel chout,
259
51.8k
      Channel::Create(memory_manager, chin.w, chin.h + chin_residual.h,
260
51.8k
                      chin.hshift, chin.vshift - 1));
261
51.8k
  JXL_DEBUG_V(
262
51.8k
      4,
263
51.8k
      "Undoing vertical squeeze of channel %i using residuals in channel "
264
51.8k
      "%i (going from height %" PRIuS " to %" PRIuS ")",
265
51.8k
      c, rc, chin.h, chout.h);
266
267
51.8k
  if (chin_residual.w == 0) {
268
    // Short-circuit: channel with no pixels.
269
0
    input.channel[c] = std::move(chout);
270
0
    return true;
271
0
  }
272
273
25.9k
  static constexpr const int kColsPerThread = 64;
274
25.9k
  const auto unsqueeze_slice = [&](const uint32_t task,
275
28.7k
                                   size_t /* thread */) -> Status {
276
28.7k
    const size_t x0 = task * kColsPerThread;
277
28.7k
    const size_t x1 =
278
28.7k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
279
28.7k
    const size_t w = x1 - x0;
280
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
281
    // always chin_residual.h.
282
623k
    for (size_t y = 0; y < chin_residual.h; y++) {
283
594k
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
284
594k
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
285
594k
      const pixel_type *JXL_RESTRICT p_navg =
286
594k
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
287
594k
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
288
594k
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
289
594k
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
290
594k
      size_t x = 0;
291
594k
#if HWY_TARGET != HWY_SCALAR
292
3.40M
      for (; x + 7 < w; x += 8) {
293
2.81M
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
294
2.81M
                      p_out + x, p_nout + x);
295
2.81M
      }
296
594k
#endif
297
1.67M
      for (; x < w; x++) {
298
1.08M
        pixel_type_w avg = p_avg[x];
299
1.08M
        pixel_type_w next_avg = p_navg[x];
300
1.08M
        pixel_type_w top = p_pout[x];
301
1.08M
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
302
1.08M
        pixel_type_w diff_minus_tendency = p_residual[x];
303
1.08M
        pixel_type_w diff = diff_minus_tendency + tendency;
304
1.08M
        pixel_type_w out = avg + (diff / 2);
305
1.08M
        p_out[x] = out;
306
        // If the chin_residual.h == chin.h, the output has an even number
307
        // of rows so the next line is fine. Otherwise, this loop won't
308
        // write to the last output row which is handled separately.
309
1.08M
        p_nout[x] = out - diff;
310
1.08M
      }
311
594k
    }
312
28.7k
    return true;
313
28.7k
  };
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
275
28.7k
                                   size_t /* thread */) -> Status {
276
28.7k
    const size_t x0 = task * kColsPerThread;
277
28.7k
    const size_t x1 =
278
28.7k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
279
28.7k
    const size_t w = x1 - x0;
280
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
281
    // always chin_residual.h.
282
623k
    for (size_t y = 0; y < chin_residual.h; y++) {
283
594k
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
284
594k
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
285
594k
      const pixel_type *JXL_RESTRICT p_navg =
286
594k
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
287
594k
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
288
594k
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
289
594k
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
290
594k
      size_t x = 0;
291
594k
#if HWY_TARGET != HWY_SCALAR
292
3.40M
      for (; x + 7 < w; x += 8) {
293
2.81M
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
294
2.81M
                      p_out + x, p_nout + x);
295
2.81M
      }
296
594k
#endif
297
1.67M
      for (; x < w; x++) {
298
1.08M
        pixel_type_w avg = p_avg[x];
299
1.08M
        pixel_type_w next_avg = p_navg[x];
300
1.08M
        pixel_type_w top = p_pout[x];
301
1.08M
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
302
1.08M
        pixel_type_w diff_minus_tendency = p_residual[x];
303
1.08M
        pixel_type_w diff = diff_minus_tendency + tendency;
304
1.08M
        pixel_type_w out = avg + (diff / 2);
305
1.08M
        p_out[x] = out;
306
        // If the chin_residual.h == chin.h, the output has an even number
307
        // of rows so the next line is fine. Otherwise, this loop won't
308
        // write to the last output row which is handled separately.
309
1.08M
        p_nout[x] = out - diff;
310
1.08M
      }
311
594k
    }
312
28.7k
    return true;
313
28.7k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_ZEN4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_SPR::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
314
25.9k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.w, kColsPerThread),
315
25.9k
                                ThreadPool::NoInit, unsqueeze_slice,
316
25.9k
                                "InvVertSqueeze"));
317
318
25.9k
  if (chout.h & 1) {
319
9.48k
    size_t y = chin.h - 1;
320
9.48k
    const pixel_type *p_avg = chin.Row(y);
321
9.48k
    pixel_type *p_out = chout.Row(y << 1);
322
294k
    for (size_t x = 0; x < chin.w; x++) {
323
284k
      p_out[x] = p_avg[x];
324
284k
    }
325
9.48k
  }
326
25.9k
  input.channel[c] = std::move(chout);
327
25.9k
  return true;
328
25.9k
}
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
240
26.2k
Status InvVSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
241
26.2k
  JXL_ENSURE(c < input.channel.size());
242
26.2k
  JXL_ENSURE(rc < input.channel.size());
243
26.2k
  const Channel &chin = input.channel[c];
244
26.2k
  const Channel &chin_residual = input.channel[rc];
245
  // These must be valid since we ran MetaApply already.
246
26.2k
  JXL_ENSURE(chin.h == DivCeil(chin.h + chin_residual.h, 2));
247
26.2k
  JXL_ENSURE(chin.w == chin_residual.w);
248
26.2k
  JxlMemoryManager *memory_manager = input.memory_manager();
249
250
26.2k
  if (chin_residual.h == 0) {
251
    // Short-circuit: output channel has same dimensions as input.
252
369
    input.channel[c].vshift--;
253
369
    return true;
254
369
  }
255
256
  // Note: chin.h >= chin_residual.h and at most 1 different.
257
51.8k
  JXL_ASSIGN_OR_RETURN(
258
51.8k
      Channel chout,
259
51.8k
      Channel::Create(memory_manager, chin.w, chin.h + chin_residual.h,
260
51.8k
                      chin.hshift, chin.vshift - 1));
261
51.8k
  JXL_DEBUG_V(
262
51.8k
      4,
263
51.8k
      "Undoing vertical squeeze of channel %i using residuals in channel "
264
51.8k
      "%i (going from height %" PRIuS " to %" PRIuS ")",
265
51.8k
      c, rc, chin.h, chout.h);
266
267
51.8k
  if (chin_residual.w == 0) {
268
    // Short-circuit: channel with no pixels.
269
0
    input.channel[c] = std::move(chout);
270
0
    return true;
271
0
  }
272
273
25.9k
  static constexpr const int kColsPerThread = 64;
274
25.9k
  const auto unsqueeze_slice = [&](const uint32_t task,
275
25.9k
                                   size_t /* thread */) -> Status {
276
25.9k
    const size_t x0 = task * kColsPerThread;
277
25.9k
    const size_t x1 =
278
25.9k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
279
25.9k
    const size_t w = x1 - x0;
280
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
281
    // always chin_residual.h.
282
25.9k
    for (size_t y = 0; y < chin_residual.h; y++) {
283
25.9k
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
284
25.9k
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
285
25.9k
      const pixel_type *JXL_RESTRICT p_navg =
286
25.9k
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
287
25.9k
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
288
25.9k
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
289
25.9k
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
290
25.9k
      size_t x = 0;
291
25.9k
#if HWY_TARGET != HWY_SCALAR
292
25.9k
      for (; x + 7 < w; x += 8) {
293
25.9k
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
294
25.9k
                      p_out + x, p_nout + x);
295
25.9k
      }
296
25.9k
#endif
297
25.9k
      for (; x < w; x++) {
298
25.9k
        pixel_type_w avg = p_avg[x];
299
25.9k
        pixel_type_w next_avg = p_navg[x];
300
25.9k
        pixel_type_w top = p_pout[x];
301
25.9k
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
302
25.9k
        pixel_type_w diff_minus_tendency = p_residual[x];
303
25.9k
        pixel_type_w diff = diff_minus_tendency + tendency;
304
25.9k
        pixel_type_w out = avg + (diff / 2);
305
25.9k
        p_out[x] = out;
306
        // If the chin_residual.h == chin.h, the output has an even number
307
        // of rows so the next line is fine. Otherwise, this loop won't
308
        // write to the last output row which is handled separately.
309
25.9k
        p_nout[x] = out - diff;
310
25.9k
      }
311
25.9k
    }
312
25.9k
    return true;
313
25.9k
  };
314
25.9k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.w, kColsPerThread),
315
25.9k
                                ThreadPool::NoInit, unsqueeze_slice,
316
25.9k
                                "InvVertSqueeze"));
317
318
25.9k
  if (chout.h & 1) {
319
9.48k
    size_t y = chin.h - 1;
320
9.48k
    const pixel_type *p_avg = chin.Row(y);
321
9.48k
    pixel_type *p_out = chout.Row(y << 1);
322
294k
    for (size_t x = 0; x < chin.w; x++) {
323
284k
      p_out[x] = p_avg[x];
324
284k
    }
325
9.48k
  }
326
25.9k
  input.channel[c] = std::move(chout);
327
25.9k
  return true;
328
25.9k
}
Unexecuted instantiation: jxl::N_AVX3::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_SPR::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_SSE2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
329
330
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
331
4.79k
                  ThreadPool *pool) {
332
24.5k
  for (int i = parameters.size() - 1; i >= 0; i--) {
333
19.7k
    JXL_RETURN_IF_ERROR(
334
19.7k
        CheckMetaSqueezeParams(parameters[i], input.channel.size()));
335
19.7k
    bool horizontal = parameters[i].horizontal;
336
19.7k
    bool in_place = parameters[i].in_place;
337
19.7k
    uint32_t beginc = parameters[i].begin_c;
338
19.7k
    uint32_t endc = parameters[i].begin_c + parameters[i].num_c - 1;
339
19.7k
    uint32_t offset;
340
19.7k
    if (in_place) {
341
14.2k
      offset = endc + 1;
342
14.2k
    } else {
343
5.51k
      offset = input.channel.size() + beginc - endc - 1;
344
5.51k
    }
345
19.7k
    if (beginc < input.nb_meta_channels) {
346
      // This is checked in MetaSqueeze.
347
4
      JXL_ENSURE(input.nb_meta_channels > parameters[i].num_c);
348
4
      input.nb_meta_channels -= parameters[i].num_c;
349
4
    }
350
351
75.2k
    for (uint32_t c = beginc; c <= endc; c++) {
352
55.5k
      uint32_t rc = offset + c - beginc;
353
      // MetaApply should imply that `rc` is within range, otherwise there's a
354
      // programming bug.
355
55.5k
      JXL_ENSURE(rc < input.channel.size());
356
55.5k
      if ((input.channel[c].w < input.channel[rc].w) ||
357
55.5k
          (input.channel[c].h < input.channel[rc].h)) {
358
0
        return JXL_FAILURE("Corrupted squeeze transform");
359
0
      }
360
55.5k
      if (horizontal) {
361
29.2k
        JXL_RETURN_IF_ERROR(InvHSqueeze(input, c, rc, pool));
362
29.2k
      } else {
363
26.2k
        JXL_RETURN_IF_ERROR(InvVSqueeze(input, c, rc, pool));
364
26.2k
      }
365
55.5k
    }
366
19.7k
    input.channel.erase(input.channel.begin() + offset,
367
19.7k
                        input.channel.begin() + offset + (endc - beginc + 1));
368
19.7k
  }
369
4.79k
  return true;
370
4.79k
}
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
331
4.79k
                  ThreadPool *pool) {
332
24.5k
  for (int i = parameters.size() - 1; i >= 0; i--) {
333
19.7k
    JXL_RETURN_IF_ERROR(
334
19.7k
        CheckMetaSqueezeParams(parameters[i], input.channel.size()));
335
19.7k
    bool horizontal = parameters[i].horizontal;
336
19.7k
    bool in_place = parameters[i].in_place;
337
19.7k
    uint32_t beginc = parameters[i].begin_c;
338
19.7k
    uint32_t endc = parameters[i].begin_c + parameters[i].num_c - 1;
339
19.7k
    uint32_t offset;
340
19.7k
    if (in_place) {
341
14.2k
      offset = endc + 1;
342
14.2k
    } else {
343
5.51k
      offset = input.channel.size() + beginc - endc - 1;
344
5.51k
    }
345
19.7k
    if (beginc < input.nb_meta_channels) {
346
      // This is checked in MetaSqueeze.
347
4
      JXL_ENSURE(input.nb_meta_channels > parameters[i].num_c);
348
4
      input.nb_meta_channels -= parameters[i].num_c;
349
4
    }
350
351
75.2k
    for (uint32_t c = beginc; c <= endc; c++) {
352
55.5k
      uint32_t rc = offset + c - beginc;
353
      // MetaApply should imply that `rc` is within range, otherwise there's a
354
      // programming bug.
355
55.5k
      JXL_ENSURE(rc < input.channel.size());
356
55.5k
      if ((input.channel[c].w < input.channel[rc].w) ||
357
55.5k
          (input.channel[c].h < input.channel[rc].h)) {
358
0
        return JXL_FAILURE("Corrupted squeeze transform");
359
0
      }
360
55.5k
      if (horizontal) {
361
29.2k
        JXL_RETURN_IF_ERROR(InvHSqueeze(input, c, rc, pool));
362
29.2k
      } else {
363
26.2k
        JXL_RETURN_IF_ERROR(InvVSqueeze(input, c, rc, pool));
364
26.2k
      }
365
55.5k
    }
366
19.7k
    input.channel.erase(input.channel.begin() + offset,
367
19.7k
                        input.channel.begin() + offset + (endc - beginc + 1));
368
19.7k
  }
369
4.79k
  return true;
370
4.79k
}
Unexecuted instantiation: jxl::N_AVX3::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_SPR::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_SSE2::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
371
372
}  // namespace HWY_NAMESPACE
373
}  // namespace jxl
374
HWY_AFTER_NAMESPACE();
375
376
#if HWY_ONCE
377
378
namespace jxl {
379
380
HWY_EXPORT(InvSqueeze);
381
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
382
4.79k
                  ThreadPool *pool) {
383
4.79k
  return HWY_DYNAMIC_DISPATCH(InvSqueeze)(input, parameters, pool);
384
4.79k
}
385
386
void DefaultSqueezeParameters(std::vector<SqueezeParams> *parameters,
387
6.23k
                              const Image &image) {
388
6.23k
  int nb_channels = image.channel.size() - image.nb_meta_channels;
389
390
6.23k
  parameters->clear();
391
6.23k
  size_t w = image.channel[image.nb_meta_channels].w;
392
6.23k
  size_t h = image.channel[image.nb_meta_channels].h;
393
6.23k
  JXL_DEBUG_V(
394
6.23k
      7, "Default squeeze parameters for %" PRIuS "x%" PRIuS " image: ", w, h);
395
396
  // do horizontal first on wide images; vertical first on tall images
397
6.23k
  bool wide = (w > h);
398
399
6.23k
  if (nb_channels > 2 && image.channel[image.nb_meta_channels + 1].w == w &&
400
6.23k
      image.channel[image.nb_meta_channels + 1].h == h) {
401
    // assume channels 1 and 2 are chroma, and can be squeezed first for 4:2:0
402
    // previews
403
3.89k
    JXL_DEBUG_V(7, "(4:2:0 chroma), %" PRIuS "x%" PRIuS " image", w, h);
404
3.89k
    SqueezeParams params;
405
    // horizontal chroma squeeze
406
3.89k
    params.horizontal = true;
407
3.89k
    params.in_place = false;
408
3.89k
    params.begin_c = image.nb_meta_channels + 1;
409
3.89k
    params.num_c = 2;
410
3.89k
    parameters->push_back(params);
411
3.89k
    params.horizontal = false;
412
    // vertical chroma squeeze
413
3.89k
    parameters->push_back(params);
414
3.89k
  }
415
6.23k
  SqueezeParams params;
416
6.23k
  params.begin_c = image.nb_meta_channels;
417
6.23k
  params.num_c = nb_channels;
418
6.23k
  params.in_place = true;
419
420
6.23k
  if (!wide) {
421
3.72k
    if (h > kMaxFirstPreviewSize) {
422
1.81k
      params.horizontal = false;
423
1.81k
      parameters->push_back(params);
424
1.81k
      h = (h + 1) / 2;
425
1.81k
      JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
426
1.81k
    }
427
3.72k
  }
428
15.8k
  while (w > kMaxFirstPreviewSize || h > kMaxFirstPreviewSize) {
429
9.58k
    if (w > kMaxFirstPreviewSize) {
430
9.34k
      params.horizontal = true;
431
9.34k
      parameters->push_back(params);
432
9.34k
      w = (w + 1) / 2;
433
9.34k
      JXL_DEBUG_V(7, "Horizontal (%" PRIuS "x%" PRIuS "), ", w, h);
434
9.34k
    }
435
9.58k
    if (h > kMaxFirstPreviewSize) {
436
6.46k
      params.horizontal = false;
437
6.46k
      parameters->push_back(params);
438
6.46k
      h = (h + 1) / 2;
439
6.46k
      JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
440
6.46k
    }
441
9.58k
  }
442
6.23k
  JXL_DEBUG_V(7, "that's it");
443
6.23k
}
444
445
Status CheckMetaSqueezeParams(const SqueezeParams &parameter,
446
46.4k
                              int num_channels) {
447
46.4k
  int c1 = parameter.begin_c;
448
46.4k
  int c2 = parameter.begin_c + parameter.num_c - 1;
449
46.4k
  if (c1 < 0 || c1 >= num_channels || c2 < 0 || c2 >= num_channels || c2 < c1) {
450
120
    return JXL_FAILURE("Invalid channel range");
451
120
  }
452
46.3k
  return true;
453
46.4k
}
454
455
6.63k
Status MetaSqueeze(Image &image, std::vector<SqueezeParams> *parameters) {
456
6.63k
  JxlMemoryManager *memory_manager = image.memory_manager();
457
6.63k
  if (parameters->empty()) {
458
6.23k
    DefaultSqueezeParameters(parameters, image);
459
6.23k
  }
460
461
26.7k
  for (auto &parameter : *parameters) {
462
26.7k
    JXL_RETURN_IF_ERROR(
463
26.7k
        CheckMetaSqueezeParams(parameter, image.channel.size()));
464
26.6k
    bool horizontal = parameter.horizontal;
465
26.6k
    bool in_place = parameter.in_place;
466
26.6k
    uint32_t beginc = parameter.begin_c;
467
26.6k
    uint32_t endc = parameter.begin_c + parameter.num_c - 1;
468
469
26.6k
    uint32_t offset;
470
26.6k
    if (beginc < image.nb_meta_channels) {
471
23
      if (endc >= image.nb_meta_channels) {
472
1
        return JXL_FAILURE("Invalid squeeze: mix of meta and nonmeta channels");
473
1
      }
474
22
      if (!in_place) {
475
2
        return JXL_FAILURE(
476
2
            "Invalid squeeze: meta channels require in-place residuals");
477
2
      }
478
20
      image.nb_meta_channels += parameter.num_c;
479
20
    }
480
26.6k
    if (in_place) {
481
17.7k
      offset = endc + 1;
482
17.7k
    } else {
483
8.81k
      offset = image.channel.size();
484
8.81k
    }
485
99.2k
    for (uint32_t c = beginc; c <= endc; c++) {
486
72.6k
      if (image.channel[c].hshift > 30 || image.channel[c].vshift > 30) {
487
2
        return JXL_FAILURE("Too many squeezes: shift > 30");
488
2
      }
489
72.6k
      size_t w = image.channel[c].w;
490
72.6k
      size_t h = image.channel[c].h;
491
72.6k
      if (w == 0 || h == 0) return JXL_FAILURE("Squeezing empty channel");
492
72.6k
      if (horizontal) {
493
37.4k
        image.channel[c].w = (w + 1) / 2;
494
37.4k
        if (image.channel[c].hshift >= 0) image.channel[c].hshift++;
495
37.4k
        w = w - (w + 1) / 2;
496
37.4k
      } else {
497
35.1k
        image.channel[c].h = (h + 1) / 2;
498
35.1k
        if (image.channel[c].vshift >= 0) image.channel[c].vshift++;
499
35.1k
        h = h - (h + 1) / 2;
500
35.1k
      }
501
72.6k
      JXL_RETURN_IF_ERROR(image.channel[c].shrink());
502
145k
      JXL_ASSIGN_OR_RETURN(Channel placeholder,
503
145k
                           Channel::Create(memory_manager, w, h));
504
145k
      placeholder.hshift = image.channel[c].hshift;
505
145k
      placeholder.vshift = image.channel[c].vshift;
506
507
145k
      image.channel.insert(image.channel.begin() + offset + (c - beginc),
508
145k
                           std::move(placeholder));
509
145k
      JXL_DEBUG_V(8, "MetaSqueeze applied, current image: %s",
510
145k
                  image.DebugString().c_str());
511
145k
    }
512
26.6k
  }
513
6.50k
  return true;
514
6.63k
}
515
516
}  // namespace jxl
517
518
#endif