Adding upstream version 125.0.1.upstream/125.0.1

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 32 insertions, 0 deletions

diff --git a/third_party/jpeg-xl/lib/jxl/common.h b/third_party/jpeg-xl/lib/jxl/common.h
index d619711c9f..d593244433 100644
--- a/third_party/jpeg-xl/lib/jxl/common.h
+++ b/third_party/jpeg-xl/lib/jxl/common.h
@@ -33,6 +33,38 @@ constexpr size_t kMaxNumPasses = 11;
 // Maximum number of reference frames.
 constexpr size_t kMaxNumReferenceFrames = 4;
 
+enum class SpeedTier {
+  // Try multiple combinations of Glacier flags for modular mode. Otherwise
+  // like kGlacier.
+  kTectonicPlate = -1,
+  // Learn a global tree in Modular mode.
+  kGlacier = 0,
+  // Turns on FindBestQuantizationHQ loop. Equivalent to "guetzli" mode.
+  kTortoise = 1,
+  // Turns on FindBestQuantization butteraugli loop.
+  kKitten = 2,
+  // Turns on dots, patches, and spline detection by default, as well as full
+  // context clustering. Default.
+  kSquirrel = 3,
+  // Turns on error diffusion and full AC strategy heuristics. Equivalent to
+  // "fast" mode.
+  kWombat = 4,
+  // Turns on gaborish by default, non-default cmap, initial quant field.
+  kHare = 5,
+  // Turns on simple heuristics for AC strategy, quant field, and clustering;
+  // also enables coefficient reordering.
+  kCheetah = 6,
+  // Turns off most encoder features. Does context clustering.
+  // Modular: uses fixed tree with Weighted predictor.
+  kFalcon = 7,
+  // Currently fastest possible setting for VarDCT.
+  // Modular: uses fixed tree with Gradient predictor.
+  kThunder = 8,
+  // VarDCT: same as kThunder.
+  // Modular: no tree, Gradient predictor, fast histograms
+  kLightning = 9
+};
+
 }  // namespace jxl
 
 #endif  // LIB_JXL_COMMON_H_