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-rw-r--r--third_party/jpeg-xl/lib/jxl/common.h32
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_