14a8dd7255
1) reformulate the gradient data as a series of interpolation intervals,
defined as tuples of (color_scale, color_bias) such that
color(t) = t * color_scale + color_bias
(this allows us to skip the relative_t computation and simply feed
tiled_t into a fast MAD)
2) then, the existing specializations can be generalized as
a) select an interpolation interval (possibly based on a threshold)
b) compute the interpolated color using the method in #1
3) simplify the hard-edge cases by using clamp intervals
(color_scale == 0) and relaxing the clamping step (allowing
tiled_t < 0 or tiled_t > 1, in order to hit the clamping intervals
during the selection step)
The existing specializations are converted as follows:
* kTwo_ColorType
-> single interpolation interval, normal clamping
* kThree_ColorType
-> two interpolation intervals, normal clamping, threshold == pos[1]
* kSingleHardStop_ColorType
-> two interpolation intervals, normal clamping, threshold == pos[1/2]
* kHardStopLeftEdged_ColorType
-> two interpolation intervals, clamping (-inf, 1], threshold == 0
* kHardStopRightEdged_ColorType
-> two interpolation intervals, clamping [0, +inf), threshold == 1
This reduces the SkSL overhead in a couple of ways:
* the clamp stage is sometimes reduced to min/max vs. full clamp()
* the color interpolation stage is just a MAD vs. full mix()
Change-Id: I65be84d131d56136ec5e946c2b3dba149a4473cf
Reviewed-on: https://skia-review.googlesource.com/68218
Reviewed-by: Brian Salomon <bsalomon@google.com>
Commit-Queue: Florin Malita <fmalita@chromium.org>
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Skia is a complete 2D graphic library for drawing Text, Geometries, and Images. See full details, and build instructions, at https://skia.org.