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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/render_pipeline/stage_upsampling.h"
#include "lib/jxl/base/status.h"
#undef HWY_TARGET_INCLUDE
#define HWY_TARGET_INCLUDE "lib/jxl/render_pipeline/stage_upsampling.cc"
#include <hwy/foreach_target.h>
#include <hwy/highway.h>
#include "lib/jxl/sanitizers.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::Clamp;
using hwy::HWY_NAMESPACE::Max;
using hwy::HWY_NAMESPACE::Min;
using hwy::HWY_NAMESPACE::MulAdd;
class UpsamplingStage : public RenderPipelineStage {
public:
explicit UpsamplingStage(const CustomTransformData& ups_factors, size_t c,
size_t shift)
: RenderPipelineStage(RenderPipelineStage::Settings::Symmetric(
/*shift=*/shift, /*border=*/2)),
c_(c) {
const float* weights = shift == 1 ? ups_factors.upsampling2_weights
: shift == 2 ? ups_factors.upsampling4_weights
: ups_factors.upsampling8_weights;
size_t N = 1 << (shift - 1);
for (size_t i = 0; i < 5 * N; i++) {
for (size_t j = 0; j < 5 * N; j++) {
size_t y = std::min(i, j);
size_t x = std::max(i, j);
kernel_[j / 5][i / 5][j % 5][i % 5] =
weights[5 * N * y - y * (y - 1) / 2 + x - y];
}
}
}
Status ProcessRow(const RowInfo& input_rows, const RowInfo& output_rows,
size_t xextra, size_t xsize, size_t xpos, size_t ypos,
size_t thread_id) const final {
static HWY_FULL(float) df;
size_t shift = settings_.shift_x;
size_t N = 1 << shift;
const size_t xsize_v = RoundUpTo(xsize, Lanes(df));
for (ssize_t iy = -2; iy <= 2; iy++) {
msan::UnpoisonMemory(GetInputRow(input_rows, c_, iy) + xsize + 2,
sizeof(float) * (xsize_v - xsize));
}
JXL_ASSERT(xextra == 0);
ssize_t x0 = 0;
ssize_t x1 = xsize;
if (N == 2) {
ProcessRowImpl<2>(input_rows, output_rows, x0, x1);
}
if (N == 4) {
ProcessRowImpl<4>(input_rows, output_rows, x0, x1);
}
if (N == 8) {
ProcessRowImpl<8>(input_rows, output_rows, x0, x1);
}
for (size_t oy = 0; oy < N; oy++) {
float* dst_row = GetOutputRow(output_rows, c_, oy);
msan::PoisonMemory(dst_row + xsize * N,
sizeof(float) * (xsize_v - xsize) * N);
}
return true;
}
RenderPipelineChannelMode GetChannelMode(size_t c) const final {
return c == c_ ? RenderPipelineChannelMode::kInOut
: RenderPipelineChannelMode::kIgnored;
}
const char* GetName() const override { return "Upsample"; }
private:
template <size_t N>
JXL_INLINE float Kernel(size_t x, size_t y, ssize_t ix, ssize_t iy) const {
ix += 2;
iy += 2;
if (N == 2) {
return kernel_[0][0][y % 2 ? 4 - iy : iy][x % 2 ? 4 - ix : ix];
}
if (N == 4) {
return kernel_[y % 4 < 2 ? y % 2 : 1 - y % 2]
[x % 4 < 2 ? x % 2 : 1 - x % 2][y % 4 < 2 ? iy : 4 - iy]
[x % 4 < 2 ? ix : 4 - ix];
}
if (N == 8) {
return kernel_[y % 8 < 4 ? y % 4 : 3 - y % 4]
[x % 8 < 4 ? x % 4 : 3 - x % 4][y % 8 < 4 ? iy : 4 - iy]
[x % 8 < 4 ? ix : 4 - ix];
}
JXL_UNREACHABLE("Invalid upsample");
}
template <ssize_t N>
void ProcessRowImpl(const RowInfo& input_rows, const RowInfo& output_rows,
ssize_t x0, ssize_t x1) const {
static HWY_FULL(float) df;
using V = hwy::HWY_NAMESPACE::Vec<HWY_FULL(float)>;
V ups0, ups1, ups2, ups3, ups4, ups5, ups6, ups7;
(void)ups2, (void)ups3, (void)ups4, (void)ups5, (void)ups6, (void)ups7;
// Once we have C++17 available, change this back to `V* ups[N]` and
// initialize using `if constexpr` below.
V* ups[8] = {};
static_assert(N == 2 || N == 4 || N == 8, "N must be 2, 4, or 8");
if (N >= 2) {
ups[0] = &ups0;
ups[1] = &ups1;
}
if (N >= 4) {
ups[2] = &ups2;
ups[3] = &ups3;
}
if (N == 8) {
ups[4] = &ups4;
ups[5] = &ups5;
ups[6] = &ups6;
ups[7] = &ups7;
}
for (size_t oy = 0; oy < N; oy++) {
float* dst_row = GetOutputRow(output_rows, c_, oy);
for (ssize_t x = x0; x < x1; x += Lanes(df)) {
for (size_t ox = 0; ox < N; ox++) {
auto result = Zero(df);
auto min = LoadU(df, GetInputRow(input_rows, c_, 0) + x);
auto max = min;
for (ssize_t iy = -2; iy <= 2; iy++) {
for (ssize_t ix = -2; ix <= 2; ix++) {
auto v = LoadU(df, GetInputRow(input_rows, c_, iy) + x + ix);
result = MulAdd(Set(df, Kernel<N>(ox, oy, ix, iy)), v, result);
min = Min(v, min);
max = Max(v, max);
}
}
// Avoid overshooting.
*ups[ox] = Clamp(result, min, max);
}
if (N == 2) {
StoreInterleaved(df, ups0, ups1, dst_row + x * N);
}
if (N == 4) {
StoreInterleaved(df, ups0, ups1, ups2, ups3, dst_row + x * N);
}
if (N == 8) {
StoreInterleaved(df, ups0, ups1, ups2, ups3, ups4, ups5, ups6, ups7,
dst_row + x * N);
}
}
}
}
size_t c_;
float kernel_[4][4][5][5];
};
std::unique_ptr<RenderPipelineStage> GetUpsamplingStage(
const CustomTransformData& ups_factors, size_t c, size_t shift) {
return jxl::make_unique<UpsamplingStage>(ups_factors, c, shift);
}
// NOLINTNEXTLINE(google-readability-namespace-comments)
} // namespace HWY_NAMESPACE
} // namespace jxl
HWY_AFTER_NAMESPACE();
#if HWY_ONCE
namespace jxl {
HWY_EXPORT(GetUpsamplingStage);
std::unique_ptr<RenderPipelineStage> GetUpsamplingStage(
const CustomTransformData& ups_factors, size_t c, size_t shift) {
JXL_ASSERT(shift != 0);
JXL_ASSERT(shift <= 3);
return HWY_DYNAMIC_DISPATCH(GetUpsamplingStage)(ups_factors, c, shift);
}
} // namespace jxl
#endif
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