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diff --git a/third_party/jpeg-xl/lib/jxl/transpose-inl.h b/third_party/jpeg-xl/lib/jxl/transpose-inl.h
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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.
+
+// Block transpose for DCT/IDCT
+
+#if defined(LIB_JXL_TRANSPOSE_INL_H_) == defined(HWY_TARGET_TOGGLE)
+#ifdef LIB_JXL_TRANSPOSE_INL_H_
+#undef LIB_JXL_TRANSPOSE_INL_H_
+#else
+#define LIB_JXL_TRANSPOSE_INL_H_
+#endif
+
+#include <stddef.h>
+
+#include <hwy/highway.h>
+#include <type_traits>
+
+#include "lib/jxl/base/status.h"
+#include "lib/jxl/dct_block-inl.h"
+
+HWY_BEFORE_NAMESPACE();
+namespace jxl {
+namespace HWY_NAMESPACE {
+namespace {
+
+#ifndef JXL_INLINE_TRANSPOSE
+// Workaround for issue #42 - (excessive?) inlining causes invalid codegen.
+#if defined(__arm__)
+#define JXL_INLINE_TRANSPOSE HWY_NOINLINE
+#else
+#define JXL_INLINE_TRANSPOSE HWY_INLINE
+#endif
+#endif // JXL_INLINE_TRANSPOSE
+
+// Simple wrapper that ensures that a function will not be inlined.
+template <typename T, typename... Args>
+JXL_NOINLINE void NoInlineWrapper(const T& f, const Args&... args) {
+ return f(args...);
+}
+
+template <bool enabled>
+struct TransposeSimdTag {};
+
+// TODO(veluca): it's not super useful to have this in the SIMD namespace.
+template <size_t ROWS_or_0, size_t COLS_or_0, class From, class To>
+JXL_INLINE_TRANSPOSE void GenericTransposeBlock(TransposeSimdTag<false>,
+ const From& from, const To& to,
+ size_t ROWSp, size_t COLSp) {
+ size_t ROWS = ROWS_or_0 == 0 ? ROWSp : ROWS_or_0;
+ size_t COLS = COLS_or_0 == 0 ? COLSp : COLS_or_0;
+ for (size_t n = 0; n < ROWS; ++n) {
+ for (size_t m = 0; m < COLS; ++m) {
+ to.Write(from.Read(n, m), m, n);
+ }
+ }
+}
+
+// TODO(veluca): AVX3?
+#if HWY_CAP_GE256
+constexpr bool TransposeUseSimd(size_t ROWS, size_t COLS) {
+ return ROWS % 8 == 0 && COLS % 8 == 0;
+}
+
+template <size_t ROWS_or_0, size_t COLS_or_0, class From, class To>
+JXL_INLINE_TRANSPOSE void GenericTransposeBlock(TransposeSimdTag<true>,
+ const From& from, const To& to,
+ size_t ROWSp, size_t COLSp) {
+ size_t ROWS = ROWS_or_0 == 0 ? ROWSp : ROWS_or_0;
+ size_t COLS = COLS_or_0 == 0 ? COLSp : COLS_or_0;
+ static_assert(MaxLanes(BlockDesc<8>()) == 8, "Invalid descriptor size");
+ static_assert(ROWS_or_0 % 8 == 0, "Invalid number of rows");
+ static_assert(COLS_or_0 % 8 == 0, "Invalid number of columns");
+ for (size_t n = 0; n < ROWS; n += 8) {
+ for (size_t m = 0; m < COLS; m += 8) {
+ const BlockDesc<8> d;
+ auto i0 = from.LoadPart(d, n + 0, m + 0);
+ auto i1 = from.LoadPart(d, n + 1, m + 0);
+ auto i2 = from.LoadPart(d, n + 2, m + 0);
+ auto i3 = from.LoadPart(d, n + 3, m + 0);
+ auto i4 = from.LoadPart(d, n + 4, m + 0);
+ auto i5 = from.LoadPart(d, n + 5, m + 0);
+ auto i6 = from.LoadPart(d, n + 6, m + 0);
+ auto i7 = from.LoadPart(d, n + 7, m + 0);
+ // Surprisingly, this straightforward implementation (24 cycles on port5)
+ // is faster than load128+insert and LoadDup128+ConcatUpperLower+blend.
+ const auto q0 = InterleaveLower(d, i0, i2);
+ const auto q1 = InterleaveLower(d, i1, i3);
+ const auto q2 = InterleaveUpper(d, i0, i2);
+ const auto q3 = InterleaveUpper(d, i1, i3);
+ const auto q4 = InterleaveLower(d, i4, i6);
+ const auto q5 = InterleaveLower(d, i5, i7);
+ const auto q6 = InterleaveUpper(d, i4, i6);
+ const auto q7 = InterleaveUpper(d, i5, i7);
+
+ const auto r0 = InterleaveLower(d, q0, q1);
+ const auto r1 = InterleaveUpper(d, q0, q1);
+ const auto r2 = InterleaveLower(d, q2, q3);
+ const auto r3 = InterleaveUpper(d, q2, q3);
+ const auto r4 = InterleaveLower(d, q4, q5);
+ const auto r5 = InterleaveUpper(d, q4, q5);
+ const auto r6 = InterleaveLower(d, q6, q7);
+ const auto r7 = InterleaveUpper(d, q6, q7);
+
+ i0 = ConcatLowerLower(d, r4, r0);
+ i1 = ConcatLowerLower(d, r5, r1);
+ i2 = ConcatLowerLower(d, r6, r2);
+ i3 = ConcatLowerLower(d, r7, r3);
+ i4 = ConcatUpperUpper(d, r4, r0);
+ i5 = ConcatUpperUpper(d, r5, r1);
+ i6 = ConcatUpperUpper(d, r6, r2);
+ i7 = ConcatUpperUpper(d, r7, r3);
+ to.StorePart(d, i0, m + 0, n + 0);
+ to.StorePart(d, i1, m + 1, n + 0);
+ to.StorePart(d, i2, m + 2, n + 0);
+ to.StorePart(d, i3, m + 3, n + 0);
+ to.StorePart(d, i4, m + 4, n + 0);
+ to.StorePart(d, i5, m + 5, n + 0);
+ to.StorePart(d, i6, m + 6, n + 0);
+ to.StorePart(d, i7, m + 7, n + 0);
+ }
+ }
+}
+#elif HWY_TARGET != HWY_SCALAR
+constexpr bool TransposeUseSimd(size_t ROWS, size_t COLS) {
+ return ROWS % 4 == 0 && COLS % 4 == 0;
+}
+
+template <size_t ROWS_or_0, size_t COLS_or_0, class From, class To>
+JXL_INLINE_TRANSPOSE void GenericTransposeBlock(TransposeSimdTag<true>,
+ const From& from, const To& to,
+ size_t ROWSp, size_t COLSp) {
+ size_t ROWS = ROWS_or_0 == 0 ? ROWSp : ROWS_or_0;
+ size_t COLS = COLS_or_0 == 0 ? COLSp : COLS_or_0;
+ static_assert(MaxLanes(BlockDesc<4>()) == 4, "Invalid descriptor size");
+ static_assert(ROWS_or_0 % 4 == 0, "Invalid number of rows");
+ static_assert(COLS_or_0 % 4 == 0, "Invalid number of columns");
+ for (size_t n = 0; n < ROWS; n += 4) {
+ for (size_t m = 0; m < COLS; m += 4) {
+ const BlockDesc<4> d;
+ const auto p0 = from.LoadPart(d, n + 0, m + 0);
+ const auto p1 = from.LoadPart(d, n + 1, m + 0);
+ const auto p2 = from.LoadPart(d, n + 2, m + 0);
+ const auto p3 = from.LoadPart(d, n + 3, m + 0);
+
+ const auto q0 = InterleaveLower(d, p0, p2);
+ const auto q1 = InterleaveLower(d, p1, p3);
+ const auto q2 = InterleaveUpper(d, p0, p2);
+ const auto q3 = InterleaveUpper(d, p1, p3);
+
+ const auto r0 = InterleaveLower(d, q0, q1);
+ const auto r1 = InterleaveUpper(d, q0, q1);
+ const auto r2 = InterleaveLower(d, q2, q3);
+ const auto r3 = InterleaveUpper(d, q2, q3);
+
+ to.StorePart(d, r0, m + 0, n + 0);
+ to.StorePart(d, r1, m + 1, n + 0);
+ to.StorePart(d, r2, m + 2, n + 0);
+ to.StorePart(d, r3, m + 3, n + 0);
+ }
+ }
+}
+#else
+constexpr bool TransposeUseSimd(size_t ROWS, size_t COLS) { return false; }
+#endif
+
+template <size_t N, size_t M, typename = void>
+struct Transpose {
+ template <typename From, typename To>
+ static void Run(const From& from, const To& to) {
+ // This does not guarantee anything, just saves from the most stupid
+ // mistakes.
+ JXL_DASSERT(from.Address(0, 0) != to.Address(0, 0));
+ TransposeSimdTag<TransposeUseSimd(N, M)> tag;
+ GenericTransposeBlock<N, M>(tag, from, to, N, M);
+ }
+};
+
+// Avoid inlining and unrolling transposes for large blocks.
+template <size_t N, size_t M>
+struct Transpose<
+ N, M, typename std::enable_if<(N >= 8 && M >= 8 && N * M >= 512)>::type> {
+ template <typename From, typename To>
+ static void Run(const From& from, const To& to) {
+ // This does not guarantee anything, just saves from the most stupid
+ // mistakes.
+ JXL_DASSERT(from.Address(0, 0) != to.Address(0, 0));
+ TransposeSimdTag<TransposeUseSimd(N, M)> tag;
+ constexpr void (*transpose)(TransposeSimdTag<TransposeUseSimd(N, M)>,
+ const From&, const To&, size_t, size_t) =
+ GenericTransposeBlock<0, 0, From, To>;
+ NoInlineWrapper(transpose, tag, from, to, N, M);
+ }
+};
+
+} // namespace
+// NOLINTNEXTLINE(google-readability-namespace-comments)
+} // namespace HWY_NAMESPACE
+} // namespace jxl
+HWY_AFTER_NAMESPACE();
+
+#endif // LIB_JXL_TRANSPOSE_INL_H_
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