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// Copyright (c) the JPEG XL Project Authors. All rights reserved.
//
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
#include "lib/jxl/modular/transform/squeeze.h"
#include <jxl/memory_manager.h>
#include <cstdlib>
#include "lib/jxl/base/common.h"
#include "lib/jxl/base/data_parallel.h"
#include "lib/jxl/base/printf_macros.h"
#include "lib/jxl/modular/modular_image.h"
#include "lib/jxl/modular/transform/transform.h"
#undef HWY_TARGET_INCLUDE
#define HWY_TARGET_INCLUDE "lib/jxl/modular/transform/squeeze.cc"
#include <hwy/foreach_target.h>
#include <hwy/highway.h>
#include "lib/jxl/simd_util-inl.h"
HWY_BEFORE_NAMESPACE();
namespace jxl {
namespace HWY_NAMESPACE {
// These templates are not found via ADL.
using hwy::HWY_NAMESPACE::Abs;
using hwy::HWY_NAMESPACE::Add;
using hwy::HWY_NAMESPACE::And;
using hwy::HWY_NAMESPACE::Gt;
using hwy::HWY_NAMESPACE::IfThenElse;
using hwy::HWY_NAMESPACE::IfThenZeroElse;
using hwy::HWY_NAMESPACE::Lt;
using hwy::HWY_NAMESPACE::MulEven;
using hwy::HWY_NAMESPACE::Ne;
using hwy::HWY_NAMESPACE::Neg;
using hwy::HWY_NAMESPACE::OddEven;
using hwy::HWY_NAMESPACE::RebindToUnsigned;
using hwy::HWY_NAMESPACE::ShiftLeft;
using hwy::HWY_NAMESPACE::ShiftRight;
using hwy::HWY_NAMESPACE::Sub;
using hwy::HWY_NAMESPACE::Xor;
#if HWY_TARGET != HWY_SCALAR
JXL_INLINE void FastUnsqueeze(const pixel_type *JXL_RESTRICT p_residual,
const pixel_type *JXL_RESTRICT p_avg,
const pixel_type *JXL_RESTRICT p_navg,
const pixel_type *p_pout,
pixel_type *JXL_RESTRICT p_out,
pixel_type *p_nout) {
const HWY_CAPPED(pixel_type, 8) d;
const RebindToUnsigned<decltype(d)> du;
const size_t N = Lanes(d);
auto onethird = Set(d, 0x55555556);
for (size_t x = 0; x < 8; x += N) {
auto avg = Load(d, p_avg + x);
auto next_avg = Load(d, p_navg + x);
auto top = Load(d, p_pout + x);
// Equivalent to SmoothTendency(top,avg,next_avg), but without branches
// typo:off
auto Ba = Sub(top, avg);
auto an = Sub(avg, next_avg);
auto nonmono = Xor(Ba, an);
auto absBa = Abs(Ba);
auto absan = Abs(an);
auto absBn = Abs(Sub(top, next_avg));
// Compute a3 = absBa / 3
auto a3e = BitCast(d, ShiftRight<32>(MulEven(absBa, onethird)));
auto a3oi = MulEven(Reverse(d, absBa), onethird);
auto a3o = BitCast(
d, Reverse(hwy::HWY_NAMESPACE::Repartition<pixel_type_w, decltype(d)>(),
a3oi));
auto a3 = OddEven(a3o, a3e);
a3 = Add(a3, Add(absBn, Set(d, 2)));
auto absdiff = ShiftRight<2>(a3);
auto skipdiff = Ne(Ba, Zero(d));
skipdiff = And(skipdiff, Ne(an, Zero(d)));
skipdiff = And(skipdiff, Lt(nonmono, Zero(d)));
auto absBa2 = Add(ShiftLeft<1>(absBa), And(absdiff, Set(d, 1)));
absdiff = IfThenElse(Gt(absdiff, absBa2),
Add(ShiftLeft<1>(absBa), Set(d, 1)), absdiff);
// typo:on
auto absan2 = ShiftLeft<1>(absan);
absdiff = IfThenElse(Gt(Add(absdiff, And(absdiff, Set(d, 1))), absan2),
absan2, absdiff);
auto diff1 = IfThenElse(Lt(top, next_avg), Neg(absdiff), absdiff);
auto tendency = IfThenZeroElse(skipdiff, diff1);
auto diff_minus_tendency = Load(d, p_residual + x);
auto diff = Add(diff_minus_tendency, tendency);
auto out =
Add(avg, ShiftRight<1>(
Add(diff, BitCast(d, ShiftRight<31>(BitCast(du, diff))))));
Store(out, d, p_out + x);
Store(Sub(out, diff), d, p_nout + x);
}
}
#endif
Status InvHSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
JXL_ENSURE(c < input.channel.size());
JXL_ENSURE(rc < input.channel.size());
Channel &chin = input.channel[c];
const Channel &chin_residual = input.channel[rc];
// These must be valid since we ran MetaApply already.
JXL_ENSURE(chin.w == DivCeil(chin.w + chin_residual.w, 2));
JXL_ENSURE(chin.h == chin_residual.h);
JxlMemoryManager *memory_manager = input.memory_manager();
if (chin_residual.w == 0) {
// Short-circuit: output channel has same dimensions as input.
input.channel[c].hshift--;
return true;
}
// Note: chin.w >= chin_residual.w and at most 1 different.
JXL_ASSIGN_OR_RETURN(Channel chout,
Channel::Create(memory_manager, chin.w + chin_residual.w,
chin.h, chin.hshift - 1, chin.vshift));
JXL_DEBUG_V(4,
"Undoing horizontal squeeze of channel %i using residuals in "
"channel %i (going from width %" PRIuS " to %" PRIuS ")",
c, rc, chin.w, chout.w);
if (chin_residual.h == 0) {
// Short-circuit: channel with no pixels.
input.channel[c] = std::move(chout);
return true;
}
auto unsqueeze_row = [&](size_t y, size_t x0) {
const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
pixel_type *JXL_RESTRICT p_out = chout.Row(y);
for (size_t x = x0; x < chin_residual.w; x++) {
pixel_type_w diff_minus_tendency = p_residual[x];
pixel_type_w avg = p_avg[x];
pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
pixel_type_w diff = diff_minus_tendency + tendency;
pixel_type_w A = avg + (diff / 2);
p_out[(x << 1)] = A;
pixel_type_w B = A - diff;
p_out[(x << 1) + 1] = B;
}
if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
};
// somewhat complicated trickery just to be able to SIMD this.
// Horizontal unsqueeze has horizontal data dependencies, so we do
// 8 rows at a time and treat it as a vertical unsqueeze of a
// transposed 8x8 block (or 9x8 for one input).
static constexpr const size_t kRowsPerThread = 8;
const auto unsqueeze_span = [&](const uint32_t task,
size_t /* thread */) -> Status {
const size_t y0 = task * kRowsPerThread;
const size_t rows = std::min(kRowsPerThread, chin.h - y0);
size_t x = 0;
#if HWY_TARGET != HWY_SCALAR
intptr_t onerow_in = chin.plane.PixelsPerRow();
intptr_t onerow_inr = chin_residual.plane.PixelsPerRow();
intptr_t onerow_out = chout.plane.PixelsPerRow();
const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
const HWY_CAPPED(pixel_type, 8) d;
const size_t N = Lanes(d);
if (chin_residual.w > 16 && rows == kRowsPerThread) {
for (; x < chin_residual.w - 9; x += 8) {
Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
for (size_t y = 0; y < kRowsPerThread; y++) {
b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
}
for (size_t i = 0; i < 8; i++) {
FastUnsqueeze(
b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
(x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
}
Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
for (size_t y = 0; y < kRowsPerThread; y++) {
for (size_t i = 0; i < kRowsPerThread; i += N) {
auto even = Load(d, b_p_out_evenT + 8 * y + i);
auto odd = Load(d, b_p_out_oddT + 8 * y + i);
StoreInterleaved(d, even, odd,
p_out + ((x + i) << 1) + onerow_out * y);
}
}
}
}
#endif
for (size_t y = 0; y < rows; y++) {
unsqueeze_row(y0 + y, x);
}
return true;
};
JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.h, kRowsPerThread),
ThreadPool::NoInit, unsqueeze_span,
"InvHorizontalSqueeze"));
input.channel[c] = std::move(chout);
return true;
}
Status InvVSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
JXL_ENSURE(c < input.channel.size());
JXL_ENSURE(rc < input.channel.size());
const Channel &chin = input.channel[c];
const Channel &chin_residual = input.channel[rc];
// These must be valid since we ran MetaApply already.
JXL_ENSURE(chin.h == DivCeil(chin.h + chin_residual.h, 2));
JXL_ENSURE(chin.w == chin_residual.w);
JxlMemoryManager *memory_manager = input.memory_manager();
if (chin_residual.h == 0) {
// Short-circuit: output channel has same dimensions as input.
input.channel[c].vshift--;
return true;
}
// Note: chin.h >= chin_residual.h and at most 1 different.
JXL_ASSIGN_OR_RETURN(
Channel chout,
Channel::Create(memory_manager, chin.w, chin.h + chin_residual.h,
chin.hshift, chin.vshift - 1));
JXL_DEBUG_V(
4,
"Undoing vertical squeeze of channel %i using residuals in channel "
"%i (going from height %" PRIuS " to %" PRIuS ")",
c, rc, chin.h, chout.h);
if (chin_residual.w == 0) {
// Short-circuit: channel with no pixels.
input.channel[c] = std::move(chout);
return true;
}
static constexpr const int kColsPerThread = 64;
const auto unsqueeze_slice = [&](const uint32_t task,
size_t /* thread */) -> Status {
const size_t x0 = task * kColsPerThread;
const size_t x1 =
std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
const size_t w = x1 - x0;
// We only iterate up to std::min(chin_residual.h, chin.h) which is
// always chin_residual.h.
for (size_t y = 0; y < chin_residual.h; y++) {
const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
const pixel_type *JXL_RESTRICT p_navg =
chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
size_t x = 0;
#if HWY_TARGET != HWY_SCALAR
for (; x + 7 < w; x += 8) {
FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
p_out + x, p_nout + x);
}
#endif
for (; x < w; x++) {
pixel_type_w avg = p_avg[x];
pixel_type_w next_avg = p_navg[x];
pixel_type_w top = p_pout[x];
pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
pixel_type_w diff_minus_tendency = p_residual[x];
pixel_type_w diff = diff_minus_tendency + tendency;
pixel_type_w out = avg + (diff / 2);
p_out[x] = out;
// If the chin_residual.h == chin.h, the output has an even number
// of rows so the next line is fine. Otherwise, this loop won't
// write to the last output row which is handled separately.
p_nout[x] = out - diff;
}
}
return true;
};
JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.w, kColsPerThread),
ThreadPool::NoInit, unsqueeze_slice,
"InvVertSqueeze"));
if (chout.h & 1) {
size_t y = chin.h - 1;
const pixel_type *p_avg = chin.Row(y);
pixel_type *p_out = chout.Row(y << 1);
for (size_t x = 0; x < chin.w; x++) {
p_out[x] = p_avg[x];
}
}
input.channel[c] = std::move(chout);
return true;
}
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
ThreadPool *pool) {
for (int i = parameters.size() - 1; i >= 0; i--) {
JXL_RETURN_IF_ERROR(
CheckMetaSqueezeParams(parameters[i], input.channel.size()));
bool horizontal = parameters[i].horizontal;
bool in_place = parameters[i].in_place;
uint32_t beginc = parameters[i].begin_c;
uint32_t endc = parameters[i].begin_c + parameters[i].num_c - 1;
uint32_t offset;
if (in_place) {
offset = endc + 1;
} else {
offset = input.channel.size() + beginc - endc - 1;
}
if (beginc < input.nb_meta_channels) {
// This is checked in MetaSqueeze.
JXL_ENSURE(input.nb_meta_channels > parameters[i].num_c);
input.nb_meta_channels -= parameters[i].num_c;
}
for (uint32_t c = beginc; c <= endc; c++) {
uint32_t rc = offset + c - beginc;
// MetaApply should imply that `rc` is within range, otherwise there's a
// programming bug.
JXL_ENSURE(rc < input.channel.size());
if ((input.channel[c].w < input.channel[rc].w) ||
(input.channel[c].h < input.channel[rc].h)) {
return JXL_FAILURE("Corrupted squeeze transform");
}
if (horizontal) {
JXL_RETURN_IF_ERROR(InvHSqueeze(input, c, rc, pool));
} else {
JXL_RETURN_IF_ERROR(InvVSqueeze(input, c, rc, pool));
}
}
input.channel.erase(input.channel.begin() + offset,
input.channel.begin() + offset + (endc - beginc + 1));
}
return true;
}
} // namespace HWY_NAMESPACE
} // namespace jxl
HWY_AFTER_NAMESPACE();
#if HWY_ONCE
namespace jxl {
HWY_EXPORT(InvSqueeze);
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
ThreadPool *pool) {
return HWY_DYNAMIC_DISPATCH(InvSqueeze)(input, parameters, pool);
}
void DefaultSqueezeParameters(std::vector<SqueezeParams> *parameters,
const Image &image) {
int nb_channels = image.channel.size() - image.nb_meta_channels;
parameters->clear();
size_t w = image.channel[image.nb_meta_channels].w;
size_t h = image.channel[image.nb_meta_channels].h;
JXL_DEBUG_V(
7, "Default squeeze parameters for %" PRIuS "x%" PRIuS " image: ", w, h);
// do horizontal first on wide images; vertical first on tall images
bool wide = (w > h);
if (nb_channels > 2 && image.channel[image.nb_meta_channels + 1].w == w &&
image.channel[image.nb_meta_channels + 1].h == h) {
// assume channels 1 and 2 are chroma, and can be squeezed first for 4:2:0
// previews
JXL_DEBUG_V(7, "(4:2:0 chroma), %" PRIuS "x%" PRIuS " image", w, h);
SqueezeParams params;
// horizontal chroma squeeze
params.horizontal = true;
params.in_place = false;
params.begin_c = image.nb_meta_channels + 1;
params.num_c = 2;
parameters->push_back(params);
params.horizontal = false;
// vertical chroma squeeze
parameters->push_back(params);
}
SqueezeParams params;
params.begin_c = image.nb_meta_channels;
params.num_c = nb_channels;
params.in_place = true;
if (!wide) {
if (h > kMaxFirstPreviewSize) {
params.horizontal = false;
parameters->push_back(params);
h = (h + 1) / 2;
JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
}
}
while (w > kMaxFirstPreviewSize || h > kMaxFirstPreviewSize) {
if (w > kMaxFirstPreviewSize) {
params.horizontal = true;
parameters->push_back(params);
w = (w + 1) / 2;
JXL_DEBUG_V(7, "Horizontal (%" PRIuS "x%" PRIuS "), ", w, h);
}
if (h > kMaxFirstPreviewSize) {
params.horizontal = false;
parameters->push_back(params);
h = (h + 1) / 2;
JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
}
}
JXL_DEBUG_V(7, "that's it");
}
Status CheckMetaSqueezeParams(const SqueezeParams &parameter,
int num_channels) {
int c1 = parameter.begin_c;
int c2 = parameter.begin_c + parameter.num_c - 1;
if (c1 < 0 || c1 >= num_channels || c2 < 0 || c2 >= num_channels || c2 < c1) {
return JXL_FAILURE("Invalid channel range");
}
return true;
}
Status MetaSqueeze(Image &image, std::vector<SqueezeParams> *parameters) {
JxlMemoryManager *memory_manager = image.memory_manager();
if (parameters->empty()) {
DefaultSqueezeParameters(parameters, image);
}
for (auto &parameter : *parameters) {
JXL_RETURN_IF_ERROR(
CheckMetaSqueezeParams(parameter, image.channel.size()));
bool horizontal = parameter.horizontal;
bool in_place = parameter.in_place;
uint32_t beginc = parameter.begin_c;
uint32_t endc = parameter.begin_c + parameter.num_c - 1;
uint32_t offset;
if (beginc < image.nb_meta_channels) {
if (endc >= image.nb_meta_channels) {
return JXL_FAILURE("Invalid squeeze: mix of meta and nonmeta channels");
}
if (!in_place) {
return JXL_FAILURE(
"Invalid squeeze: meta channels require in-place residuals");
}
image.nb_meta_channels += parameter.num_c;
}
if (in_place) {
offset = endc + 1;
} else {
offset = image.channel.size();
}
for (uint32_t c = beginc; c <= endc; c++) {
if (image.channel[c].hshift > 30 || image.channel[c].vshift > 30) {
return JXL_FAILURE("Too many squeezes: shift > 30");
}
size_t w = image.channel[c].w;
size_t h = image.channel[c].h;
if (w == 0 || h == 0) return JXL_FAILURE("Squeezing empty channel");
if (horizontal) {
image.channel[c].w = (w + 1) / 2;
if (image.channel[c].hshift >= 0) image.channel[c].hshift++;
w = w - (w + 1) / 2;
} else {
image.channel[c].h = (h + 1) / 2;
if (image.channel[c].vshift >= 0) image.channel[c].vshift++;
h = h - (h + 1) / 2;
}
JXL_RETURN_IF_ERROR(image.channel[c].shrink());
JXL_ASSIGN_OR_RETURN(Channel placeholder,
Channel::Create(memory_manager, w, h));
placeholder.hshift = image.channel[c].hshift;
placeholder.vshift = image.channel[c].vshift;
image.channel.insert(image.channel.begin() + offset + (c - beginc),
std::move(placeholder));
JXL_DEBUG_V(8, "MetaSqueeze applied, current image: %s",
image.DebugString().c_str());
}
}
return true;
}
} // namespace jxl
#endif