33ef30ec68
Aside from sqrt() and normalize(), we now optimize all the intrinsics which take a single argument as input, and return that argument with each of its components permuted as output. This CL also introduces a minor restriction--we no longer optimize intrinsics which evaluate to inf or nan, such as `inversesqrt(-1)`. These will be left in the source as-is. Change-Id: I4919b3c18a2df81accd6daf2f650b9f587ff43fc Reviewed-on: https://skia-review.googlesource.com/c/skia/+/406577 Commit-Queue: John Stiles <johnstiles@google.com> Auto-Submit: John Stiles <johnstiles@google.com> Reviewed-by: Ethan Nicholas <ethannicholas@google.com>
11 lines
715 B
GLSL
11 lines
715 B
GLSL
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out vec4 sk_FragColor;
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uniform vec4 input;
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uniform vec4 expected;
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uniform vec4 colorGreen;
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uniform vec4 colorRed;
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vec4 main() {
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const vec4 negativeVal = vec4(-1.0, -4.0, -16.0, -64.0);
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return ((((((((((inversesqrt(input.x) == expected.x && inversesqrt(input.xy) == expected.xy) && inversesqrt(input.xyz) == expected.xyz) && inversesqrt(input) == expected) && 1.0 == expected.x) && vec2(1.0, 0.5) == expected.xy) && vec3(1.0, 0.5, 0.25) == expected.xyz) && vec4(1.0, 0.5, 0.25, 0.125) == expected) && inversesqrt(-1.0) == expected.x) && inversesqrt(vec2(-1.0, -4.0)) == expected.xy) && inversesqrt(vec3(-1.0, -4.0, -16.0)) == expected.xyz) && inversesqrt(negativeVal) == expected ? colorGreen : colorRed;
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}
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