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tests: Test for common type conversion for element-wise intrinsics.
Some intrinsics have different rules for the allowed data types than expressions: - Vectors and matrices at the same time are not allowed, regardless of their dimensions. Even if they have the same number of components. - Any combination of matrices is always allowed, even those when no matrix fits inside another, e.g.: float2x3 is compatible with float3x2, resulting in float 2x2. The common data type is the min on each dimension. This is the case for max, pow, ldexp, clamp and smoothstep; which suggest that it is the case for all intrinsics where the operation is applied element-wise. Tests for mul() are also added as a counter-example where the operation is not element-wise.
This commit is contained in:
committed by
Alexandre Julliard
parent
a7bb5a0835
commit
86c35fc79d
Notes:
Alexandre Julliard
2023-01-11 22:39:00 +01:00
Approved-by: Giovanni Mascellani (@giomasce) Approved-by: Zebediah Figura (@zfigura) Approved-by: Henri Verbeet (@hverbeet) Approved-by: Alexandre Julliard (@julliard) Merge-Request: https://gitlab.winehq.org/wine/vkd3d/-/merge_requests/53
@@ -34,3 +34,31 @@ uniform 4 int4 0 -10 10 1000000
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uniform 8 int4 0 1 -1 1000000
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draw quad
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probe all rgba (2.0, -10.0, -2.0, 1e12)
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[pixel shader todo]
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float4 main() : sv_target
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{
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float3x2 a = {6, 5, 4, 3, 2, 1};
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float2x3 b = {1, 2, 3, 4.2, 5.2, 6.2};
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float3x4 c = 2.4;
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float2x2 r = lerp(a, b, c);
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return float4(r);
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}
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[test]
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todo draw quad
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todo probe all rgba (-6.0, -2.2, 4.48, 8.28)
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[pixel shader fail todo]
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float4 main() : sv_target
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{
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float2x2 a = {0, 1, 2, 3};
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float2x2 b = {1, 2, 3, 4};
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float4 c = {0.5, 0.5, 0.5, 0.5};
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lerp(a, b, c);
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return 0;
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}
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